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Fifty agricultural soil samples collected from Fuzhou, southeast China, were first investigated for the occurrence, distribution, and potential risks of twelve organophosphate esters (OPEs). The total concentration of OPEs (ΣOPEs) in soil ranged from 1.33 to 96.5 ng/g dry weight (dw), with an average value of 17.1 ng/g dw. Especially, halogenated-OPEs were the predominant group with a mean level of 9.75 ng/g dw, and tris(1-chloro-2-propyl) phosphate (TCIPP) was the most abundant OPEs, accounting for 51.1% of ΣOPEs. The concentrations of TCIPP and ∑OPEs were found to be significantly higher (P < 0.05) in soils of urban areas than those in suburban areas. In addition, the use of agricultural plastic films and total organic carbon had a positive effect on the occurrence of OPE in this study. The positive matrix factorization model suggested complex sources of OPEs in agricultural soils from Fuzhou. The ecological risk assessment demonstrated that tricresyl phosphate presented a medium risk to land-based organisms (0.1 ≤ risk quotient < 1.0). Nevertheless, the carcinogenic and non-carcinogenic risks for human exposure to OPEs through soil ingestion and dermal absorption were negligible. These findings would facilitate further investigations into the pollution management and risk control of OPEs., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024. Published by Elsevier B.V.)

This paper presents a comprehensive analysis of the agriculture trade dynamic between India and China from 2002-2021. It employed the Revealed Comparative Advantage (RCA) and Revealed Symmetric Comparative Advantage (RSCA) indices and various statistical analyses to assess the trade performance and provide an enhanced comprehension of the specialization pattern. The study has selected 45 agricultural commodities, categorized into seven sections according to the HS Nomenclature 2017. The findings revealed that India boasts a more diversified export portfolio compared to China, with a more significant number of agriculture chapters demonstrating a comparative advantage. Conversely, China's export basket is more concentrated, featuring fewer chapters with a comparative advantage but higher values of RCA and RSCA. The paper also identified the prospective areas for agriculture-trade cooperation and collaboration between the two countries and put forward recommendations. This research aims to offer valuable insights for policymakers, researchers, and traders to enhance bilateral ties and mutual benefits in the agriculture sector., Competing Interests: The authors have delcared that no competing interest exist., (Copyright: © 2023 Shukla et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

China contributed nearly one-fifth of the world maize production over the past few years. Mapping the distributions of maize cropland in China is crucial to ensure global food security. Nonetheless, 10 m maize cropland maps in China are still unavailable, restricting the promotion of sustainable agriculture. In this paper, we collect numerous samples to produce annual 10-m maize cropland maps in China from 2017 to 2021 with a machine learning based classification framework. To overcome the temporal variations of plants, the proposed framework takes Sentinel-2 sequence images as input and utilizes deep neural networks and random forest as classifiers to map maize in a zone-specific way. The generated maps have an overall accuracy (OA) spanning from 0.87 to 0.95 and the maize-cultivated areas estimated by the maps are highly consistent with the records in statistical yearbooks (R 2 varying from 0.83 to 0.95). To the best of our knowledge, this is the first annual 10-m maize maps across China, which largely facilitates the sustainable agriculture development in China dominated by smallholder farmlands., (© 2023. The Author(s).)

This paper expounds the theoretical logic among digital inclusive finance, urbanization, and agricultural mechanization level, puts forward the research hypothesis, and then selects the county unbalanced panel data of 1309 counties in China from 2014 to 2020 based on the two-way fixed model with standard error clustering to county level and mediating effect model for empirical data regression analysis. Through baseline regression analysis, mediation effect analysis, and heterogeneity analysis, the findings of this paper are as follows. First, digital financial inclusion has a significant positive effect on the growth of agricultural mechanization. Second, digital inclusive finance at the county level can also indirectly affect the growth of agricultural mechanization through urbanization. That is, agricultural mechanization has an intermediary effect between the financial agglomeration at the county level and the growth of farmers' income. Third, the impact of county-level digital financial inclusion on the growth of agricultural mechanization level is significantly heterogeneous, and the promoting effect is significant in areas with balanced grain production, national-level poor county or contiguous areas of dire poverty, and areas with a good foundation for digital financial inclusion. By analyzing digital inclusive finance, urbanization, and agricultural mechanization, this paper proposes targeted policy recommendations. First, the government can promote agricultural mechanization by developing digital financial inclusion. Second, the government should guide and accelerate the process of digital financial inclusion, promoting urbanization thereby amplifying the positive impact of digital financial inclusion on agricultural mechanization. Third, given the heterogeneity of the impact of digital financial inclusion on agricultural mechanization, local development should focus on developing different dimensions of digital financial inclusion according to specific conditions., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2023 Liu et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Mulching and biochar are increasingly used individually in agriculture, but little is known about their combined effects on N 2 O distribution and dispersion in ridge and furrow profiles. We conducted a 2-year field experiment in northern China to determine soil N 2 O concentrations using the in situ gas well technique and calculate N 2 O fluxes from ridge and furrow profiles by the concentration gradient method. The results showed that mulch and biochar increased soil temperature and moisture and altered the mineral nitrogen status, leading to a decrease in the relative abundance of nitrification genes in the furrow area and an increase in the relative abundance of denitrification genes, with denitrification remaining as the main source of N 2 O production. N 2 O concentrations in the soil profile increased significantly after fertiliser application, and N 2 O concentrations in the ridge area of the mulch treatment were much higher than those in the furrow area, where vertical and horizontal diffusion occurred. Biochar addition was effective in reducing N 2 O concentrations but had no effect on the N 2 O distribution and diffusion pattern. Soil temperature and moisture, but not soil mineral nitrogen, explained the variation in soil N 2 O fluxes during the non-fertiliser application period. Compared to furrow-ridge planting (RF), furrow-ridge mulch planting (RFFM), furrow-ridge planting with biochar (RBRF) and furrow-ridge mulch planting with biochar (RFRB) resulted in 9.2%, 11.8% and 20.8% increases in yield per unit area and 1.9%, 26.3% and 27.4% decreases in N 2 O fluxes per unit of yield, respectively. The interaction between mulching and biochar significantly affected the N 2 O fluxes per unit of yield. Biochar costs aside, RFRB is very promising for increasing alfalfa yields and reducing N 2 O fluxes per unit of yield., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 Elsevier Ltd. All rights reserved.)

The widespread use of ultra-thin mulch films has been considered the root cause of China's difficulties in recycling waste mulch films and their severe residue and pollution. Therefore, environmental regulation to guide farmers to use and recycle high-standard mulch has become a key measure to prevent and control mulch pollution at the source. In this paper, we review environmental regulation measures for mulch pollution and their implementation characteristics in the northwest dry farming restoration region as a case study, and explore their impact on the use and recycling of high-standard mulch. ​The results show that China's environmental regulations on mulch use and recycling can be classified into three types: guidance, incentives, and restrictions. However, the measures implemented so far primarily consist of guidance, while the restrictive and incentive regulations are inadequate. The percentage of farmers using and recycling high-standard mulch under environmental regulations is relatively high (88.18% and 79.83%, respectively), but there is still room for improvement. The study also reveals that while environmental regulations promote the use of high-standard plastic film and its recycling, not all measures are equally effective. Specifically, the implementation of measures such as benefits publicity, price subsidies, technical training, behavior supervision, and punishment mechanisms can be effective in improving farmers' adoption of high-standard plastic mulch; publicizing the hazards of mulch residue, training on recycling techniques, establishing recycling sites, regulating recycling practices, and penalizing violations can effectively help increase the recycling rate of used mulch film. Finally, this study provides a valuable reference for improving regulatory policies for mulch pollution control., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Regarding the mode choice of farmland transfer, the existing literature have more examined the choices between market-based transfer (spontaneous transfer) and government or village committee-led transfer, and between formal contract and informal contract. However, the question that how the two parties choose among various specific transfer modes has not attracted extensive attention of scholars. Based on contract theory and transaction cost economics, this paper uses the public samples of the third national agricultural census data to investigate how large-scale households choose among the specific transfer modes when transferring into farmland, like the transfer of the contracted management right (TCMR), lease and shareholding. The findings of this paper are as follows. Firstly, with the increase in the transfer-in area and the education level of the household head, the probability of choosing lease and shareholding increases relatively, but the latter rises faster. Secondly, compared with large-scale farmers whose aim is to plant crop, the probability of those who transfer into farmland for gardening and forestry operation choosing shareholding has increased significantly. Thirdly, the age of the household head and the number of household laborers have an interactive effect on the mode choice of transferring into farmland. In addition, the mode choice of large-scale households' transferring into farmland is also significantly affected by environmental factors such as local topography, irrigation, traffic conditions, industrial structure, and social security development. Therefore, adhering to the parties to choose the mode of farmland transfer independently is crucial. The government and rural grassroots organizations should help the parties to understand the characteristics, adaptability and supply and demand of different modes, and help the parties to explore the most economical mode. The contribution of this paper is that it expands the study of the transfer of rural land rights to the choices of specific transfer modes, and partially reveals the rule of choices, which provides a reference for the parties to choose the most efficient transfer mode under different conditions and for the government and rural grassroots organizations to play a role., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2023 He, Xiao. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

This study uses a nationally representative rural household survey from China, the difference-in-difference, three-step approach, and Seemingly Unrelated Regression methods to assess the impacts of China's new agricultural subsidy on chemical fertilizer use, heterogeneity effect, and mechanism. The results show that, first, the new agriculture subsidy reduces the use of chemical fertilizer by about 7.2 percent. A series of robustness tests confirm the finding. Second, the heterogeneity analysis shows that the subsidy's negative impact on fertilizer use is substantially greater among younger farmers than among older farmers. The negative effect also is significantly more in the main grain-producing areas than in non-grain-producing regions in China. Third, the mediating effect analysis shows that farmland scale mediates 8.3 percent of fertilizer use, and the adoption of agricultural machinery mediates 48.6 percent of fertilizer use. Our findings underscore the positive role that reforming the agrarian subsidy policy plays in sustainable development., Competing Interests: Declaration of competing interest The authors declare no conflict of interest with regard to authorship and other aspects of this paper., (Copyright © 2023 Elsevier Ltd. All rights reserved.)

Green agriculture can minimize the negative impact of agriculture on the environment. As countries around the world strongly advocate green production and green life style, not only is consumers' awareness about green consumption rising, but the demand for green agricultural products at home and abroad is gradually increasing as well. Brand image has been a crucial factor for consumers to make their final purchasing decisions, thus playing a critical role in influencing the purchasing decisions of consumers. Based on the theory of the brand image, this paper undergoes a comprehensive theoretical and positive analysis and explores the influence mechanism of brand image of green agricultural products on consumers' purchasing intention. A hypothetical model with perceived value as mediators is constructed by us to examine the influence of brand image of green agricultural products on consumers' purchasing intention. A quantitative study was conducted for a random sample of 341 consumers who purchased green agricultural products in China according to a questionnaire-based survey using a cluster random sampling technique. The study showed that the overall image of agribusiness, the image of agricultural products, the social image of agribusiness, and the image of consumers are all positively related to consumption intention. The overall image of agribusiness, the image of agricultural products, the social image of agribusiness, and the image of consumers have a positive influence on perceived value. Moreover, perceived value plays a part in the mediating role in the influence of the overall image of agribusiness, the image of agricultural products, the social image of agribusiness, and the image of consumers on consumption intention. These findings shed lights on enterprises in establishing a scientific and effective brand strategy and building an excellent brand image. The research conclusion can provide new insight into how to enhance the consumption willingness for green agricultural products and promote sustainable development., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2023 Yang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Improving the interest linkage models between new farmers and small farmers is an important measure to realize the organic connection between small farmers and modern agricultural development. Based on the survey data of 572 new farmers in 16 provinces in China, this study uses the ordered probit model to empirically analyze the impact of entrepreneurial organization form on the interest linkage models between new farmers and small farmers. The results show that: (1) The choice of different entrepreneurial organization forms such as individual operation, cooperative operation, partner operation and company operation by new farmers will significantly affect the degree of interest linkage and then the linkage models. Partner operation and company operation have significantly improved the tightness of interest linkage between new farmers and small farmers. (2) The form of entrepreneurial organization significantly impacts the interest linkage between new farmers and small farmers. The higher the stability of entrepreneurial organization form, the closer the interest linkage and the more significant the impact on the interest linkage models. This effect remains significant after considering potential endogeneity issues and robustness tests. (3) In addition, further research also found significant regional differences and group differences in the impact of entrepreneurial organization form on the new farmers and small farmers' interest linkage models. The impact of the western region is more significant than that of the eastern and central regions, and government entrepreneurship support policies can significantly strengthen the interest linkage models. The research results of this paper have vital reference significance for exploring the path of agricultural modernization under the "big country with small farmers"., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2023 Liu et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Farmland size and green technology have a significant impact on agricultural carbon emissions. However, more research needs to consider the impact of their interaction on agricultural carbon neutralization. In this paper, the impact of farmland size on the net carbon effect and its underlying mechanisms from the perspective of green agricultural technology adoption were empirically examined using a tracking survey of 2600 farming households. The results show that farmland size expansion at both household and plot levels can increase the net carbon effect of the planting industry, which is more pronounced for grain crops than cash crops. Specifically, a 1% increase in the total area of household farmland or the largest contracted plot area can increase the net carbon effect by more than 3%. Green technology also plays a mediation effect in their relationship. Increasing farmland size can generate sufficient economic incentives to encourage green technology adoption, contributing to carbon sequestration and emissions reduction and increasing the crop's net carbon effect. Furthermore, we find that farmland expansion can significantly encourage the adoption of efficiency-enhancing technologies but not environmentally friendly technologies. Our findings suggest that promoting farmland expansion and green technology extension is effective for the low-carbon transformation of Chinese agriculture. The government should make distinct promotion policies for various green agricultural technologies and differentiating incentives and support policies for different-sized farmers. Our study provides insights into the path to Chinese-style agricultural modernization in the context of a smallholder economy., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Controlling agricultural carbon emissions contributes to achieving peak carbon emissions and carbon neutrality. However, as a conservation management practice of farmland, the impact of No-tillage management (NTM) on agricultural carbon emissions needs to be further discussed. The main purpose of this paper is to assess the direct effect and spatial spillover effect of NTM on agricultural carbon emissions, revealing the regulating mechanism of NTM on agricultural carbon emissions and the combined application of NTM. Results indicate that NTM reduces agricultural carbon emissions, which is significant in the central and western regions, along with the primary grain, corn, and rice production areas, as well as the northern regions of the Huai River. Furthermore, the spatial spillover analysis reveals that the implementation of NTM increases agricultural carbon emissions in neighboring regions, but financial support and cross-regional services can negatively regulate the relationship between NTM and space agricultural carbon emissions. This paper also finds that combining straw-returning technology and NTM reduces agricultural carbon emissions. Building a cross-regional coordination mechanism, an incentive mechanism, and innovating the conservation tillage model is essential for promoting the NTM and achieving agricultural carbon reduction., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Excessive application of nitrogen fertilization in farmland systems can cause nitrogen wastage, environmental pollution, and increase greenhouse gas (GHG) emissions. Dense planting is one of the efficient strategies for nitrogen fertilizer reduction within rice production. However, there are paying weak attention to the integrative effect of dense planting with less nitrogen (DPLN) on carbon footprint (CF), net ecosystem economic benefit (NEEB) and its components in double-cropping rice systems. Herein, this work aims to elucidate the effect via field experiments in double-cropping rice cultivation region with the treatments set to conventional cultivation (CK), three treatments of DPLN (DR1, 14 % nitrogen reduction and 40,000 hills per ha density increase from CK; DR2, 28 % nitrogen reduction and 80,000 hills density increase; DR3, 42 % nitrogen reduction and 120,000 hills density increase), and one treatment of no nitrogen (N0). Results showed that DPLN significantly reduced average CH 4 emissions by 7.56 %-36 %, while increasing annual rice yield by 2.16 %-12.37 % compared to CK. Furthermore, the paddy ecosystem under DPLN served as a carbon sink. Compared with CK, DR3 increased gross primary productivity (GPP) by 16.04 % while decreasing direct GHG emissions by 13.1 %. The highest NEEB was observed in DR3, which was 25.38 % greater than CK and 1.04-fold higher than N0. Therefore, direct GHG emissions and carbon fixation of GPP were key contributors to CF in double-cropping rice systems. Our results verified that optimizing DPLN strategies can effectively increase economic benefits and reduce net GHG emissions. DR3 achieved an optimal synergy between reducing CF and enhancing NEEB in double-cropping rice systems., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 Elsevier B.V. All rights reserved.)

In the context of global value chain, this paper uses world input-output table (2016) and CO 2 emission data to analyze domestic environmental cost of agricultural exports based on backward linkage MRIO model. The results show that average domestic value-added and domestic embodied emissions of China's agricultural export are respectively ranked 7th and 4th in the world during the sample period, which indicates that China's agriculture does not perform well in environmental cost; On the bright side, China's domestic environmental cost displays a downward trend over time. In terms of contributing factors, CO 2 emission coefficient is conducive to the reduction of domestic environmental cost, meanwhile the value-added coefficient, intermediate input structure, and agricultural export structure promote the increase of domestic environmental cost. Further, the cross-country decomposition results found that the emission coefficient and the intermediate input structure are the main reasons that lead China's domestic environmental cost to be higher than those of the main agricultural export countries. The value-added factor and the export structure have narrowed the gap of domestic environmental cost between China and other major agricultural economies. The research findings are still robust when scenario analysis is introduced. This study suggests that optimizing the structure of energy consumption and promoting cleaner production are most important ways to promote the sustainable development of China's agricultural exports., Competing Interests: Declaration of competing interest We declare that we do not have any commercial or associative interest that represents a conflict of interest in connection with the work submitted., (Copyright © 2023 Elsevier Ltd. All rights reserved.)

Recently, China has exerted great efforts to develop agro-industrial agglomerations and optimize the agricultural industry's regional distribution to increase farmers' income. This study posits that agro-industrial agglomeration should be "dual body," provides a theoretical framework for agro-industrial agglomeration's effects on farmer income, and uses a spatial panel model to prove its influence on farmers' income and the spatial spillover effect. The results show that agro-industrial agglomeration in a specific region significantly impacts farmers' income and also has a spillover effect on income in adjacent regions. Further research shows that, contrary to traditional agglomeration theory, agricultural industry agglomeration has little impact on farmers' agricultural production but primarily promotes the establishment and development of agricultural organizations, thus improving farmers' income. Finally, the paper discusses the positive and negative effects of agro-industrial agglomeration on the Global Sustainable Development Goals(SDGs), and proposes some useful suggestions., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2023 Yi Ding. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

The effects of biochar (BC) on soil erosion and nutrient output have attracted widespread attention; however, the role of BC in soil and water conservation remains debated. In particular, the effect of BC on underground erosion and nutrient output in soil-mantled karst areas has not been clearly determined. The objective of this study was to investigate the effects of BC on soil and water conservation and nutrient output in surface-underground dual erosion structures in soil-mantled karst areas. Eighteen runoff plots (2 m × 1 m) were established at the Guizhou University research station. Two BC treatments (T1 = 30 t/ha; T2 = 60 t/ha) and a control treatment (CK = 0 t/ha) were used. The BC material was produced from corn straw. The experiment ran from January to December 2021 and a total of 1132.64 mm of rainfall was measured. Runoff and soil and nutrient loss at the surface and underground were collected during natural rainfall. The results showed that 1) compared to CK, the BC application significantly increased surface runoff (SR, P < 0.05) and reduced subsurface runoff (SF, P < 0.05), and underground fissure runoff (UFR) decreased in general but did not reach a significant level (P > 0.05). The total amount of SR collected in each treatment during the test period accounted for 51 %-63 % of the total amount of all collected outlet runoff (SR, SF and UFR); 2) total organic carbon (TOC), total nitrogen (TN) and total phosphorus (TP) were mainly exported through the UFR, and total potassium (TK) was mainly exported through the SR; and 3) compared to CK, the BC reduced TOC, TN and TP output through runoff but had no significant effect on TK output regardless of surface runoff or underground runoff. Thus, BC application reduces nonpoint source (NPS) pollution, and more importantly, it can inhibit TN and TP flow into groundwater through bedrock fissures. Our results provide further evidence for evaluating the soil and water conservation benefits of BC. Therefore, BC in soil-mantled karst agricultural areas can prevent groundwater pollution in karst regions. In general, BC enhances surface erosion and inhibits underground runoff and nutrients loss on soil-mantled karst slopes. This shows that the process through which BC application affects erosion in karst areas is complex, and further research is needed to investigate the long-term effects of BC application in this area., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 Elsevier B.V. All rights reserved.)

Improving fertilizer use efficiency (FUE) is an effective way to reduce the fertilizer use and non-point source pollution in agriculture production in China. Existing research related to fertilizer use efficiency ignores the impact of famers' social networks, which can significantly affect the fertilizer use and its efficiency. This paper analyzed the impact of social networks on fertilizer use efficiency and the mediator effect of green fertilization technology adoption, based on the calculation of fertilizer use efficiency of 569 kiwifruit farmers in Shaanxi province of China surveyed in 2021 by using stochastic frontier method. The results show that the FUE of kiwifruit production ranged within 0.1027-0.9945, with an average value of 0.333, which showed great variability, and fertilizer input had an average 66.7% reduction potential without reducing output. Social networks and its four dimensions all had a significant positive impact on FUE, in which network trust and network learning had a greater impact on FUE. Farmers' adoption of green fertilization technology played a positive mediator effect in the process of social networks influencing their fertilizer use efficiency, which was mainly promoted by network trust and learning. Farmers' experience in agricultural production, joining the cooperative, the quantity of village agricultural supply points had a significant positive impact on fertilizer use efficiency, while age and gentle of the head of household had a significant negative impact of fertilizer use efficiency. Planting scale had a U-shape impact on FUE. Policies aimed at improving FUE and reducing non-point source pollution should, therefore, focus on improving the social networks of farmers, especially young farmers, strengthening network trust, promoting network learning, network reciprocity and network interaction, strengthening the research and development and extension of green fertilization technology, encouraging farmers to join agricultural cooperative, improving village production conditions, guiding sustainable agricultural production., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Asia contains 58 % of the global population and approximately 39 % of the world's cropland, making evaluation of the spatiotemporal variability patterns in cropland fire critical for understanding the interplay between crop residue burning and human activity in Asia. Although agricultural expansion and intensification have contributed to an overall decline in vegetation fires worldwide since the late 1990s, burned area by cropland fires in Asia has expanded by more than 19 % over the past two decades. India accounts for about 32 % of cropland fires in Asia, and the burned area has increased by more than two-thirds since 2003, particularly increased around 80 % during the two major cereal harvest seasons of March-May and October-November. In comparison, cropland fires have increased by <6 % in China since 2003, and there has been a marked downward trend in burned area in June due to the intensive implementation of the nationwide bans on open-land crop straw burning. The expansion of agricultural harvests is primarily responsible for the rapid increase in cropland fires in Asia, notably in India, where agricultural intensification is occurring with population growth and economic development in recent years, and crop straw burning should be strictly controlled in the future., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Understanding the impact mechanisms of territorial space composition and landscape pattern changes on carbon storage is critical to balance the development and utilization of territorial space and the conservation of the ecosystem. Thus, taking the Fujian Delta urban agglomeration (FDUA) of China as an example, this paper analyzed the impact of the transference in territorial space composition and the change in the coupling coordination degree (CCD) of landscape patterns on carbon storage based on the urban–rural gradient and grid scales. Results illustrated that the areas of agricultural, green, and blue spaces continued to decline, while the intensity of economic space expansion increased from 20.86 to 42.45% during 2000–2020. The grids with CCD change of landscape patterns declined mainly (accounting for 64.31%) in the first decade and rose mainly (accounting for 76.79%) in the second decade. The carbon loss of each under rural gradient was gradually serious. The percentage of grids with moderate and significant decrease in carbon storage escalated from 27.83 to 70.21%. Additionally, grids experiencing high carbon loss moved from the northeast coast to the southwest inland. The response of carbon storage change showed that the expansion of agricultural space occupied by economic space played a crucial role in the carbon loss in each urban–rural gradient. The carbon loss caused by supplementing agricultural space with green space increased from the urban to the field. Enhancing the CCD of landscape patterns can boost carbon storage, and the scattering expansion of economic space needs to be avoided. This paper provides a novel perspective to explore the spatial response of carbon storage change to the territorial space composition and landscape pattern evolution, which is important to optimize the territorial space pattern and improve the regional carbon sink capacity. [ABSTRACT FROM AUTHOR]

Recently, replacing chemical fertilizers with straw returning and new fertilizers has received considerable attention in the agricultural sector, as it is believed to increase rice yield and improve soil properties. However, less is known about rice growth and soil properties in paddy fields with the addition of different fertilizers. Thus, in this paper, we investigated the effects of different fertilizer treatments, including no fertilization (CK), optimized fertilization based on the medium yield recommended fertilizer amount (OF), 4.50 Mg ha−1 straw returning with chemical fertilizers (SF), 0.59 Mg ha−1 slow-release fertilizer with chemical fertilizers (SRF), and 0.60 Mg ha−1 water-soluble fertilizer with chemical fertilizers (WSF), on rice growth, yield, and soil properties through a field experiment. The results show that compared with the OF treatment, the new SF, SRF, and WSF treatments increased plant height, main root length, tiller number, leaf area index, chlorophyll content, and aboveground dry weight. The SF, SRF, and WSF treatments improved rice grain yield by 30.65–32.51% and 0.24–1.66% compared to the CK and OF treatments, respectively. The SRF treatment increased nitrogen (N) and phosphorus (P) uptake by 18.78% and 28.68%, the harvest indexes of N and P by 1.75% and 0.59%, and the partial productivity of N and P by 2.64% and 2.63%, respectively, compared with the OF treatment. However, fertilization did not significantly affect the average yield, harvest indexes of N and P, and partial productivity of N and P. The contents of TN, AN, SOM, TP, AP, and AK across all the treatments decreased significantly with increasing soil depth, while soil pH increased with soil depth. The SF treatment could more effectively increase soil pH and NH4+-N content compared to the SRF and WSF treatments, while the SRF treatment could greatly enhance other soil nutrients and enzyme activities compared to the SF and WSF treatments. A correlation analysis showed that rice yield was significantly positively associated with tiller number, leaf area index, chlorophyll, soil NO3−-N, NH4+-N, SOM, TP, AK, and soil enzyme activity. The experimental results indicate that SRF was the best fertilization method to improve rice growth and yield and enhance soil properties, followed by the SF, WSF, and OF treatments. Hence, the results provide useful information for better fertilization management in the Chaohu Lake region of China. [ABSTRACT FROM AUTHOR]

The efficient use of water resources has become an important topic in China. Research on measurement and driving factors is the foundation for improving water resources use efficiency (WRUE). In this paper, the super-efficiency slacks-based measure (SE-SBM) model is used to measure the WRUE of China from 2005 to 2021. The agricultural carbon emissions and chemical oxygen demand (COD) in industrial wastes are taken as undesirable by-products. The driving factors of WRUE are discussed with use of the Tobit regression model. The results show that China's agricultural WRUE ranges from 1.185 in Jilin to 0.687 in Ningxia. In the industrial sector, the WRUE ranges from 1.399 in Beijing to Jiangxi 0.212. The economic structure and development level, water resources endowment, government influence and environmental regulation, agricultural planting scale and urbanization rate have impacts on WRUE. Precautionary measures need to be applied to prevent inefficient WRUE caused by the declining share of the industrial sector in the economic structure. More financial support should be focused on water-saving irrigation in agriculture and energy and resource efficiency in industry. The organizational structure and technological advantages of urbanization should also be emphasized in efforts to improve water efficiency. [ABSTRACT FROM AUTHOR]

China, a country with a long-standing agricultural legacy, is increasingly prioritizing the reduction of CO2 emissions from its agricultural sector. Initially, the carbon emission sources within the agricultural sector are classified into two categories: direct and indirect emissions. Using this classification, the study calculates the generalized agricultural carbon emissions (GACEs) of 30 provinces in China between 2011 and 2020. To further understand the factors influencing GACEs, the paper employs the logarithmic mean Divisia index method and Tapio decoupling index to analyze seven key factors. These factors include carbon emission intensity, energy consumption of generalized agriculture, and economic benefit level of energy consumption. By comparing the impact and changes of GACEs during the 12th and 13th five-year plan periods, the study reveals valuable insights. The findings suggest that carbon emission intensity plays a crucial role in suppressing GACEs, while the level of economic development acts as a catalyst for their increase. By effectively managing these influencing factors, the paper proposes that the increase in GACEs can be effectively suppressed, and the achievement of agricultural CO2 reduction goals can be expedited. [ABSTRACT FROM AUTHOR]

Water resources are the source of life for people to survive, especially in agriculture. Water resources provide necessary support for agricultural economic development and irrigation management. Using the panel data from 2013 to 2019, this paper uses the coupled coordination model to explore the degree of synergy between agricultural water resources efficiency (AWRE) and agricultural economic development level (AEDL), and analyzes the spatial correlation of coupling coordination degree (CCD) between the AWRE and AEDL, and further predicts the relationship between the two. The results are as follows: (1) There are superb variations in the CCD among provinces, and the diploma of coordination is greater in the south than in the north; (2) In the spatial correlation pattern, high–high agglomeration areas exhibit an growing trend, and the variety of low–low agglomeration areas is small; and (3) Through the prediction, it is found that in the further, the CCD will show a trend of slow increase in future. For purpose of the coordinated perfection of the two systems, we need to completely discover the connotation of coordinated improvement and promote regional cooperation. [ABSTRACT FROM AUTHOR]

China leads the world in the volume of outward foreign direct investment (FDI) in agriculture. This status is the result of long-term policies, including the agricultural «going out» strategy and the «Belt and Road» initiative. Despite this leadership, the overall volume of both total FDI and agricultural FDI has been declining in recent years. This paper aims to analyse the structure and trends of Chinese outward FDI in agriculture, given the limited availability of statistical data. The results show that the total volume of China's agricultural FDI exceeded $106.98 billion (7.4% of China's total outward FDIs) in the period from 2005 to 2023. Despite fluctuations in investment volume, there has been a growth trend, with a peak in 2017 marked by significant transactions such as the acquisition of Syngenta. Developed countries are the primary recipients of Chinese FDI in agriculture, while developing countries dominate Chinese construction projects. The list of both investors and builders includes predominantly state-owned enterprises. In summary, the trajectory of Chinese outward foreign direct investment in agriculture presents a compelling narrative of strategic global engagement and economic expansion. [ABSTRACT FROM AUTHOR]

The rural construction community embodies a confluence of social dynamics within rural areas, constituting an organic self-organization with hierarchical relationships. Over a specific period, the amalgamation of various roles and relationships within the rural construction community shapes the prevalent culture, distinctive image, and production techniques within villages. This study examines the structural composition of village communities and endeavors to establish a linkage mechanism among different elements within the construction framework. Focusing on villages and their inhabitants, this research traces the temporal evolution along the following axes: (1) Traditional Agricultural Civilization Age; (2) Collective Economy Age; (3) Rural Industrialization Age; (4) Rural Differentiation Age; and (5) Rural Revitalization Age. This paper primarily observes the evolution through the cultural foundation and manifestation of rural communities, emphasizing that the communities represent cooperative, autonomous, and transformative constructs. From the perspective of cultural landscapes, this article elucidates the interconnected trajectory of ecology–institution–livelihood in the creation of rural communities. It interprets the interplay among the resource patterns, social structure, and economic forms of villages across five distinct periods, fostering a comprehensive understanding of rural community development amidst changing circumstances. Recent years have seen a concerning decline in rural areas, where rural community culture faces a significant impact from modern industrial civilization, resulting in the disintegration of the social fabric within community construction. Nevertheless, the resilient common sense and self-organization capabilities of villagers persist. This study seeks to offer theoretical guidance and decision-making support to advance innovative social governance in rural locales. Moving forward, China's rural revitalization demands a more adaptive sustainable assessment within rural construction communities. [ABSTRACT FROM AUTHOR]

Scaling service operations is an effective way to promote modernization among small farmers. Exploring the factors influencing grain farmers' choices in selecting services is essential to promote the strong development of the agricultural production service market and improve the efficiency of agricultural operations in China. Based on the 2019 data on corn farmers in the China Rural Revitalization Survey (CRRS) database, and using the Double-Hurdle Model, the factors influencing the service selection behavior of corn farmers are explored, and the research conclusions are as follows: (1) agricultural service prices have a negative impact on the demand for agricultural services, which varies from service to service; (2) labor prices do not influence the demand for any kind of service; (3) land circulation rents have a negative impact on the demand for agricultural services, which varies from service to service; (4) a high family net income can significantly prompt the adoption of agricultural services, which varies from service to service; (5) small-scale farmers are more sensitive to changes in service prices than large-scale farmers; (6) the four economic factors have no effect on the sowing service market. Based on the above conclusions, this paper puts forward suggestions such as improving the market price mechanism for agricultural production services, and increasing subsidies related to agricultural production services. [ABSTRACT FROM AUTHOR]

Elucidating the hydrogeochemical processes and quality assessment of groundwater holds significant importance for its sustainable development. In this paper, 53 groundwater samples were collected from a typical agricultural area in the northeastern Chongqing municipality in SW China. The integration of multivariate statistical analysis, ion ratio analysis, geomodelling analysis, the entropy water quality index, health risks assessment, and sensitivity analysis was carried out to explore the hydrochemical processes and quality assessment of groundwater in this study. The statistical results reveal that the cationic concentrations followed the order of Ca2+ > Mg2+ > Na+ > K+, while the anionic components were in the order of HCO3− > SO42− > NO3− > Cl−. Based on the Piper trilinear diagram, the hydrochemical types were shown as Ca-HCO3 and Ca-Mg-HCO3 types. Hierarchical cluster analysis indicated that the groundwater samples could be categorized into three groups. The hydrochemical compositions were primarily influenced by water–rock interactions (e.g., carbonate dissolution and silicate weathering). In terms of irrigation suitability, the sodium adsorption ratios (SARs) ranged from 0.05 to 1.82, and the electrical conductivity (EC) varied from 116 to 1094 μs/cm, indicating that most groundwater samples were suitable for irrigation. The entropy-weighted water quality index ranged from 15 to 94, suggesting that the groundwater samples were suitable for drinking purposes. Non-carcinogenic human health risks followed the order of children > adult females > adult males, within the average values of 0.30, 0.21, and 0.18, respectively. Sensitivity analysis showed that the parameters had the weight order of NO3 > body weight (BW) > ingestion rate (IR) > exposure frequency (EF). Hence, we recommend prioritizing the management of areas with high salinity levels, while avoiding the excessive use of nitrogen fertilizers, raising awareness among local residents about safe groundwater, and providing robust support for the sustainable development of groundwater in typical agricultural areas. [ABSTRACT FROM AUTHOR]

In the context of the Chinese government's policy guidance, there is black soil protection and ecological environment protection. The purpose of this paper is to solve the problem that the soil ecology of the black soil in Northeast China is changing year by year, and it is necessary to explore the sowing and fertilization strategy under the new situation; most Chinese growers rely excessively on their personal experience in the process of soybean sowing and fertilization. In this study, we used "Heihe 43" soybeans and used regression experimental design methods to analyze the effects of planting density, nitrogen, phosphorus, and potassium fertilizer application on soybean yield and to determine the optimal planting density and fertilizer ratios. The study reveals that the optimal soybean planting density in Northeast China is 45.37 × 104 plants/ha, with nitrogen at 98.4 kg/ha, phosphorus at 218.96 kg/ha, and potash at 47.62 kg/ha. Under these conditions, soybean yields can reach 3816.67 kg/ha. This study can provide a theoretical method for decision-making to obtain the optimal planting density and fertilizer ratio for different regions of the farming system. [ABSTRACT FROM AUTHOR]

The production mode of "high input, high yield and high waste" in the agricultural system poses a serious threat to the environment and the quality of agricultural products. Accelerating the adoption of green agricultural technology (GAT) by farmers is an emergency measure. However, according to microsurvey data, many farmers give up GAT within a year after adopting it. The implementation of this measure has been anticlimactic. Based on a survey of 1138 kiwi growers in Shaanxi Province, China, this paper builds a theoretical model and conducts empirical exercises to gain insight into the effects of perceived value, government support and their interaction with kiwi growers' sustainable application of GAT. We find that perceived value and government support have a significant impact on the sustainable application of GAT. Government support plays a moderating role in the influence of perceived value on the sustainable application of GAT. Furthermore, in order to overcome the potential endogeneity problem caused by the two-way causal relationship between subjective variables, "owning a smartphone" was selected as the instrumental variable. The 2SLS model was used for endogeneity analysis, and the OLS model was used for the robustness test. This paper discusses the relevant theories and policy implications of environmental management. [ABSTRACT FROM AUTHOR]

Pest management has been a great challenge since the beginning of human agricultural activities. Since the 1930s, chemical pesticide control has been a major control technology that can solve some of the pest problems in agricultural production. Still, it is harmful to food safety and the ecological environment. Meanwhile, the extensive use of chemical pesticides may lead to the rapid development of pest resistance. Because of the advantages of low cost, eco-friendly advantage, and low side effects, Solar Insecticidal Lamp (SIL) as the main physical control technology has been widely used for pest management in agricultural production in China. Owing to the phototaxis of pests, they have a phototropic rhythm during the nighttime. We can adjust the SIL insecticidal time according to the phototropic rhythm of pests. The purpose of this paper is to provide a comprehensive review of the pest phototactic rhythm in a selection of 24 pest species. It is the first comprehensive survey on the phototactic rhythm of pests and the time segments of this survey are accurate to the hour. The phototactic rhythm of pests are investigated in two different varieties of crops: 1) food crops and 2) economic crops. We also discuss and analyze the various factors (e.g., meteorological conditions, insecticidal devices, physiological states and others) that affect the changing phototactic rhythm of pests. Finally, we highlight some open research challenge issues and future directions. [ABSTRACT FROM AUTHOR]

Purpose: Market integration in China is still progressing, while the border effects of trade among regions still exist. The question of whether eliminating or weakening regional bias can promote of China's agricultural trade still remains an important issue. This paper analyzes the impact of regional bias on China's agricultural trade. Design/methodology/approach: This paper constructs a pure exchange computable general equilibrium model of nine regions and three sectors, and analyzes the impact of regional bias on China's regional agricultural trade; Comparing the differences of regional bias on China's inter-regional and external agricultural trade, the paper especially analyzes the impact of the agricultural imports and exports in eight regions of China. Findings: The results show that regional bias has had substantial impacts on China's agricultural trade. Elimination of regional bias would therefore increase China's agricultural exports and imports by factors of 1.32 and 1.63, respectively while its agricultural trade deficit would increase by 84%. Inter-regional agricultural trade in China would increase by 3.53 times. With the elimination of regional bias, the Northern coastal, Central and Northwestern regions would have the largest increase in inter-regional agricultural trade. Unlike the Northern coastal region, inter-regional agricultural import in the Central and Northwestern regions tends to be greater than inter-regional agricultural exports. Originality/value: This paper thus aims to fill existing gap in investigating the impacts of regional bias on China's agricultural trade. Firstly, the model proposed in this paper does not only consider the linkage between the agricultural and non-agricultural sectors, but also the inter-regional agricultural trade linkages of the different regions in China. Secondly, the authors decompose home bias into national and regional biases and assess how regional bias affects agricultural trade of the various regions of China. [ABSTRACT FROM AUTHOR]

Agricultural productive services can increase grain output and farmers' incomes, promote agricultural production efficiency and break the constraints of agricultural environmental resources. In practice, China's agricultural productive services are developing, and the use of agricultural machinery in rice planting is not sufficient. The employment rate of machinery in farming and harvesting is high, but the employment rate of machinery in seedling raising, planting, fertilization, and pesticide spraying is very low. This paper takes rice farmers in Jiangxi Province of China as the research object, uses 647 survey data of farmers in nine counties of Jiangxi Province, constructs a logistic-ISM model, first identifies the influencing factors of rice farmers' adoption of agricultural productive services, and then analyzes the hierarchical structure of each influencing factor. The results indicate that: (1) among the seven significant influencing factors of rice farmers' adoption of agricultural productive services, agricultural income rate and rice planting area are the deep-rooted factors; (2) the social identity of the household head, the risk preference of the household head and the understanding degree of the social service subsidy of agricultural machinery are intermediate level factors; and (3) the age of the household head and the number of agricultural laborers in the family are the direct factors. Based on the significance analysis of the influencing factors of rice farmers' adoption of agricultural productive services, this paper puts forward policy suggestions to strengthen policy publicity, enhance the level of farmer policy cognition; encourage the transfer of labor force and reasonable allocation of family agricultural labor force; encourage land transfer and expand the scale operation of rice; we should guide farmers reasonably and give full play to their professional advantages. [ABSTRACT FROM AUTHOR]

China's agricultural economy is developing rapidly, but the unbalanced regional development is still a key issue that needs to be discussed today. By studying the total factor productivity of green agriculture and its factors, this paper analyzes the regional differences in time and space changes between the eastern, central and western parts of China. In this paper, the total factor productivity of green agriculture is calculated and decomposed by Metafrontier Malmquist-Luenberger index based on directional distance function. The results are as follows: First, the total factor productivity level of green agriculture in China is increasing year by year, but the overall level is still at a low level and has greater volatility; Second, although the total factor productivity of green agriculture shows an upward trend, the three regions show a downward trend in turn, which has great differences; Third, there are obvious differences in technological efficiency, optimal production potential and technological gap between the eastern, central and western regions, and there are great differences in productivity among regions and provinces. Based on the results, this paper puts forward policy recommendations, according to the regional heterogeneity, from a number of angles to rely on the joint efforts of many parties to improve the level of total factor productivity of green agriculture. [ABSTRACT FROM AUTHOR]

The China-Pakistan Economic Corridor (CPEC) is a cornerstone of China's Belt and Road Initiative (BRI). It aims to enhance regional trade and economic expansion in Pakistan. We adopted systematic review approach to investigate the agricultural trade narrative of the CPEC and identify future research avenues. Our study uses the Web of Sciences and Scopus database to extract the relevant literature. We executed the search query for 2013–2023. We followed the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) statement to identify the literature. The final analysis includes only 14 articles. We found that the literature mainly focuses on three topics, Gwadar port, road infrastructure, and agricultural complementarity and competitiveness. The review reveals the significant potential of CPEC on the agricultural trade of Pakistan. Based on the review, we point to avenues that could be considered in future research work to fully exploit the potential of CPEC in the agriculture sector of Pakistan. [ABSTRACT FROM AUTHOR]

Water environmental management (WEM) has a significant influence on the global ecological balance. As an institutional innovation, the River Chief System (RCS) in China has achieved a positive short-term impact on addressing water environmental problems. However, its effects are limited in rural China. As a type of public good, the rural WEM demands the active participation not only of government but also of farmers. Based on the social cognitive and social network theory, this study empirically investigates how rural social networks promote farmers' participation in WEM. Using the survey of 860 farmers in the Yellow and Yangtze River Basin, we employ the double-hurdle model (D-H-M) to craft the primary assessment. The results show that the social network embeddedness facilitates farmers' participation in WEM directly. Collective efficacy plays a full mediation role in the relationship between social network embeddedness and farmers' participation. Moreover, the perceived role of village leaders affects the relationship between social networks and farmers' participation. Our research enriches the application of social network theory in the rural social context and offers an innovative approach to solving farmers' participation problems in WEM., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 Elsevier Ltd. All rights reserved.)

Nitrogen (N) and phosphorus (P) are two critical nutrients for agroecosystems. In meeting food demands, human use of both nutrients has crossed planetary boundaries for sustainability. Further, there has been a dramatic shift in their relative inputs and outputs, which may generate strong N:P imbalances. Despite enormous efforts on agronomic N and P budgets, the spatio-temporal characteristics of different crop types in using nutrients are unknown as are patterns in the stoichiometric coupling of these nutrients. Thus, we analyzed the annual crop-specific N and P budgets and their stoichiometric relations for producing ten major crops at the provincial level of China during 2004-2018. Results show that, China has generally witnessed excessive N and P input over the past 15 years, with the N balance remaining stable while the P balance increasing by more than 170%, thus resulting in a decline in the N:P mass ratios from 10.9 in 2004 to 3.8 in 2018. Crop-aggregated nutrient use efficiency (NUE) of N has increased by 10% in these years while most crops have shown a decreasing trend of this indicator for P, which reduced NUE of P from 75% to 61% during this period. At the provincial level, the nutrient fluxes of Beijing and Shanghai have obviously declined, while the nutrient fluxes of provinces such as Xinjiang and Inner Mongolia have increased significantly. Although N management has made progress, P management should be further explored in the future due to eutrophication concerns. More importantly, N and P management strategies for sustainable agriculture in China should take account of not only the absolute nutrient use, but also their stoichiometric balance for different crops in different locations., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 Elsevier Ltd. All rights reserved.)

Based on the current state of China's agricultural industry, this article proposes an integrated framework for the agricultural innovation ecosystem in developing countries. Furthermore, a dynamic simulation model is constructed to analyze the game process and factors influencing the agricultural innovation ecosystem. The results indicate that industry-university-research collaboration serves as the main source of innovation within the agricultural innovation ecosystem, playing a central role in its development. The willingness to participate, cost of participation, and establishment of default fees by governments, agro-related enterprises, universities, and research institutions have significant implications for the evolution of collaborative innovation within agricultural innovation ecosystems. In order to promote the evolution of the system, agriculture-related enterprises, universities, and research institutions should establish more effective reward and punishment mechanisms, as well as cost control mechanisms. Governments should set reasonable regulatory costs and incentive intervals to actively foster a collaborative innovation atmosphere. The innovation points of this paper are as follows: extending the theory of innovation ecosystems to agriculture, particularly in developing countries characterized by imbalanced and insufficient development. A game model is also constructed to represent the collaborative innovation evolution among government, agriculture-related enterprises, universities, and research institutions, with the government as the endogenous variable. Through numerical simulation, the dynamic evolution process of collaborative innovation within the agricultural innovation ecosystem is revealed. This research enriches and expands upon innovation ecosystem theory, providing guidance for the of innovation ecology in agriculture through mathematical models in developing countries. This, in turn, promotes the convergence of symbiotic, shared, and-creation development., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2023 Hou et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

The spatial effects of agricultural market integration on industrial agglomeration are an important field of regional economic. This paper collected the data of agricultural market integration and industrial agglomeration in 31 provinces in China from 2010 to 2019, analyzed the spatial effects of the two by constructing a dynamic spatial Dubin model, and explored its long-term and short-term effects of the spatial effects. The results show the following: (1) the primary terms of agricultural market integration were negative and the secondary terms were positive. The impact of agricultural market integration on local industrial agglomeration had a "U-shaped" characteristic. Whether in the short-term or long-term, there was a significant direct effect of "suppression to promotion." (2) The agricultural market integration had a spatial spillover effect on industrial agglomeration in the neighboring areas. This effect had an "inverted U-shaped" characteristic. Whether in the short-term or long-term, there was a prominent spatial spillover effect of "promotion to suppression." (3) For direct effects, the short-term direct effects of agricultural market integration on industrial agglomeration were - 0.0452 and 0.0077, and the long-term direct effects were - 0.2430 and 0.0419. For spatial spillover effects, the short-term spatial spillover effects were 0.0983 and - 0.0179, and the long-term spatial spillover effects were 0.4554 and - 0.0827. The long-term effects were greater than the short-term effects. This paper provides empirical evidence for the effects of agricultural market integration on industrial agglomeration in different regions, and exploring the development of agricultural agglomeration in the long-term., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Taking the data of 30 provinces (excluding Hong Kong, Macao, and Taiwan regions and Tibet) at the provincial level from 2010 to 2019 as the research object, this paper analyzes the current situation and characteristics of China's agricultural modernization and response to carbon emissions. Agricultural modernization is decomposed into production modernization, management modernization, and ecological modernization. This study uses the spatial Dobbin model to demonstrate the impact of agricultural modernization on carbon emissions and analyzes the impact of agricultural modernization on carbon emissions in the East. The direct effect and spatial spillover effect of the three western regions are to different degrees. The results show that agricultural carbon emissions are spatially dependent. The development of agricultural modernization and transportation of neighboring provinces and cities will have an impact on agricultural carbon emissions in this region. Therefore, under the background of rural revitalization and low-carbon agriculture, this paper further analyzes the impact of agricultural modernization on the spatial distribution of carbon emissions in the eastern, central, and western regions. Recommendations are proposed with a view to giving better play to the process of agricultural modernization., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Farmers' entrepreneurship is an important engine to comprehensively help promote rural revitalization. Based on data from the China Household Finance Survey (CHFS2019), this paper empirically examines the effect of digital literacy on farmers' entrepreneurial behavior using the Probit model and instrumental variable method; and examines the mediating role of health status in this effect using the mediation effect model, combined with the Sobel and Bootstrap tests. The results of the study showed that (1) digital literacy positively influenced farmers' entrepreneurial behavior at the 1% significant level, and this positive influence showed some differences across gender and age; (2) health status played a mediating effect in the positive influence of digital literacy on farmers' entrepreneurial behavior. Accordingly, policy recommendations are made to foster farmers' digital literacy, encourage farmers' entrepreneurship, and ensure farmers' "digital health" services., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2023 Bai et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Increasing globalization intensifies land redistribution via global supply chains. Interregional trade not only transfers embodied land but also displaces the negative environmental impact of land degradation from one region to another. This study sheds light on land degradation transfer by focusing on salinization directly whereas previous studies have extensively assessed the land resource embodied in trade. To analyze the relationships among economies under interwoven embodied flows, this study integrates complex network analysis and input-output method to observe the endogenous structure of the transfer system. By focusing on irrigated land with higher crop yields than dryland farming, we make policy recommendations on food safety and proper irrigation. The results of the quantitative analysis show that the total amount of saline and sodic irrigated land embodied in global final demand are 260978.23 and 424291.05 square kilometers respectively. Salt-affected area of irrigated land is imported by not only developed countries but also large developing countries such as Mainland China and India. Exports of embodied salt-affected land in Pakistan, Afghanistan, and Turkmenistan are pressing issues, accounting for nearly 60% of total exports from net exporters worldwide. It is also demonstrated that embodied transfer network has a basic community structure of three groups due to regional preference in agricultural products trade., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 Elsevier Ltd. All rights reserved.)

Straw returning is a sustainable way that does not destroy soil ecology in agronomic management. Some studies have found that straw returning may aggravate or reduce soilborne diseases in the past few decades. Despite the increasing number of independent studies investigated the effect of straw returning on root rot of crops, the quantitative analysis regarding the relationship between straw returning and crop root rot is still undefined. In this study, keywords co-occurrence matrix was extracted from 2489 published studies (published from 2000 to 2022, the same below) on controlling soilborne diseases of crops. The methods used for soilborne diseases prevention have shifted from chemical to biological and agricultural control since 2010. As root rot is the soilborne disease with the largest weight in keyword co-occurrence according to statistics, we further collected 531 articles focusing on crop root rot. Notably, the 531 studies are mainly distributed in the United States, Canada, China and other countries in Europe and the south and southeast of Asia, and focus on the root rot of soybean, tomato, wheat and other important grain crops or economic crops. Based on the meta-analysis of 534 measurements in 47 previous studies, we explored how 10 management factors (soil pH/texture, type/size of straw, depth/rate/cumulative amount of application, days after application, beneficial/pathogenic microorganism inoculated before application and annual N-fertilizer input) during straw returning affect root rot onset worldwide. The results showed that straw size and microorganisms inoculated before straw returning are the key factors affecting the incidence of root rot. In combination with actual agricultural production, detailed advice applicable to traditional farming system on the optimization management of straw returning was given. This study emphasized the significance of straw pretreatment and farmland management to reduce soilborne diseases during straw returning., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 Elsevier Ltd. All rights reserved.)

Cropland abandonment is a widespread land-change process globally, which can stem from the accelerated outmigration of the population from rural to urban areas, socio-economic and political changes, catastrophes, and other trigger events. Clouds limit the utility of optical satellite data to monitor cropland abandonment in highly fragmented mountain agricultural landscapes of tropical and subtropical regions, including the south of China. Taking Nanjing County of China as an example, we developed a novel approach by utilizing multisource satellite (Landsat and Sentinel-2) imagery to map multiple trajectories of cropland abandonment (transitioning from cropland to grassland, shrubs and forest) in subtropical mountainous landscapes. Then, we employed a redundancy analysis (RDA) to identify the spatial association of cropland abandonment considering agricultural productivity, physiography, locational characteristics and economic factors. Results indicate the great suitability of harmonized Landsat 8 and Sentinel-2 images to distinguish multiple trajectories of cropland abandonment in subtropical mountainous areas. Our framework of mapping cropland abandonment resulted in good producer's (78.2%) and user's (81.3%) accuracies. The statistical analysis showed 31.85% of croplands cultivated in 2000 were abandoned by 2018, and more than a quarter of townships experienced cropland abandonment with high abandoned rates (>38%). Cropland abandonment mainly occurred in relatively unfavorable areas for agricultural production, for instance with a slope above 6°. Slope and the proximity to the nearest settlement explained 65.4% and 8.1% of the variation of cropland abandonment at the township level, respectively. The developed approaches on both mapping cropland abandonment and modeling determinants can be highly relevant to monitor multiple trajectories of cropland abandonment and ascribe their determinants not only in mountainous China but also elsewhere and thus promote the formulation of land-use policies that aim to steer cropland abandonment., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Forest Farm Carbon Sink (FFCS) projects are one of the effective ways to achieve carbon neutrality and mitigate global warming. Though the existing literature has widely discussed the effect of FFCS on the allocation of agricultural factors, such as land, labor employment structure and income structure, little is known about whether FFCS projects could have an effect on agricultural development. Based on the panel data of 140 counties in Sichuan province, China, from 2002 to 2018, we examined the causal effect on agricultural total factor productivity (TFP), and revealed their dynamic effect and underlying mechanisms. Propensity score matching and the difference in difference (PSM-DID) method were used to address the endogeneity problem of FFCS implementation. Results showed that FFCS projects increased agricultural TFP by 1.7%-2.4%. Health, saving and industrial structure were the important channels through which FFCS projects affect agricultural TFP. Our findings suggest that policies promoting FFCS projects can increase agricultural TFP while achieving environmental goals-a win-win situation., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023. Published by Elsevier Ltd.)

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Plant protection drones are fast and efficient application machines that are characterised by high application efficiency and no damage to crops. They are particularly suitable for small areas of farmland and mountainous terrain in regions such as Asia and are currently the dominant insecticide application technology in China. The presence of wind is a prerequisite for the spread and dissemination of airborne diseases and it can directly influence the distance and height of ascent of pathogenic spores. This paper investigates the effect of downwash airflow generated by the flight altitude of a plant protection drone on the horizontal distribution, vertical distribution and ground distribution of powdery mildew spores in wheat. Monitoring the changing dynamics of airborne powdery mildew conidia using spore traps. The test results show that: the number of powdery mildew pathogenic spores is related to various factors such as weather, relative humidity and wind speed; the release of spores is greatly influenced by airflow disturbances but has little effect at the early stages of sporulation; the disease is caused by the accumulation process of pathogenic spores and in the control of powdery mildew in wheat, preventive spraying should be carried out within 2–3 days of the germination of pathogenic spores. The study lays the foundation for further in-depth research on the spread of powdery mildew spores and improved pest control, and provides a basis for scientific and rational spraying and control by agricultural drones. [ABSTRACT FROM AUTHOR]

Adaptive farming behavior is a key strategy for farmers to cope with climate change. This paper aims to explore the potential impacts of climate change information sources on farmers’ adaptive farming behavior. This paper clarifies the internal mechanism of three typical information sources, namely government departments, scientific research institutions and neighborhood communication, affecting farmers' adaptive farming behavior. Based on the sample data of 1200 farmers in the main wheat producing areas of Shaanxi Province, the theoretical conjecture is empirically tested. The results showed that the climate change information from government departments and scientific research institutions has a significant positive impact on farmers' adaptive farming behavior, but in the case of considering the three sources of information at the same time, the information source of scientific research institutions has the strongest positive impact on farmers' adaptive farming behavior. After farmers have access to climate change information exchanged by government departments, scientific research institutions and neighbors, their differences in climate change adaptive farming behavior mainly depend on their climate change cognition rather than subject trust factors. Formally organized climate change information represented by government departments and scientific research institutions has a more significant positive impact on farmers' adaptive farming behavior, but this impact depends largely on whether the information obtained by farmers can improve their climate change awareness. [ABSTRACT FROM AUTHOR]

The economic development level of the Yangtze River Economic Belt is relatively high, and the modern agricultural production has brought serious pressure to the agricultural ecological environment. At present, there is no research on the sustainable status of agroecosystem in the Yangtze River Economic Belt, based on the emergy theory, this paper analyzes and evaluates the input–output structure and sustainable status of the Yangtze River Economic Belt by calculating the input–output factors and relevant emergy indexes from 2010 to 2018. The results show that the total input and output emergy of the Yangtze River Economic Belt shows an upward trend from 2010 to 2018. The input of non-renewable industrial auxiliary emergy is too high which has been more than 80%, and the structure of agriculture, forestry, animal husbandry, and fishery industry is unreasonable, which makes the net emergy yield rate of the system very low, its value was only 0.23 in 2018, far less than 1, and the agroecosystem is in an unsustainable state. Except for Shanghai, most provinces and cities of the Yangtze River Economic Belt are in an unsustainable state, and the status of the agricultural ecological environment is not optimistic. From 2010 to 2018, the overall ecological environment of the agricultural ecosystem in the Yangtze River Economic Belt is not optimistic. Among them, the most affected agricultural ecosystem's sustainable development index is the cash-crop area, total population, and agricultural fixed asset investment. Relevant departments and agricultural practitioners need to change the resource input structure of the agricultural ecosystem, reduce the dependence on industrial auxiliary energy, improve resource utilization efficiency, adjust the industrial structure of agricultural output and increase the production of high-emergy products, to realize sustainable development of the agricultural ecosystem. [ABSTRACT FROM AUTHOR]

Agricultural production is considered to be one of the main threats to biodiversity. Market-based wildlife-friendly farming (WFF) systems are thought to have great potential to reshape the link between biodiversity and agriculture. In this paper, we explore the potential for WFF rice production in China using choice experiment surveys of consumers and producers. Our results show that there is a significant difference in preferences between urban consumers and rural rice producers. Rice producers pay more attention to the practical concerns around quality (taste), location (ease of working) and prices, while urban consumers pay attention to whether the rice is healthy and free of contamination (e.g. organic or grown with fish). In addition, producers' price expectations for WFF rice production are not uniform due to different challenges with respect to technology, resource allocation and trust. Preference heterogeniety also exists among urban consumers, some of whom are skeptical of 'organic labeling', while others place high levels of trust in rice grown with "biological" indicators such as fish or frogs. Although WFF production systems may not be able to accommodate the full heterogeneity among growers and consumers it can strengthen the incentives to farm more sustainably for the benefit of the economy and the environment if appropriately designed. We suggest the most promising approach is to jointly produce organic rice with fish or another trusted biological indicator to overcome trust issues with existing organic labeling. [ABSTRACT FROM AUTHOR]

Purpose: This study aims to identify the importance of agricultural and rural modernization and propose ways to accelerate such modernization. Design/methodology/approach: The authors systematically examine the crucial role that the modernization of agriculture and rural areas plays in China, discuss the current issues in China's modernization from the perspective of agricultural and rural fields and propose practical measures to accelerate agricultural and rural modernization. Findings: This study emphasizes the importance of China's agricultural and rural modernization in five aspects: the significance inherent in theories and experiences, the high complexity of the modernization work, the extreme difficulty of the task, the particular sluggishness of the process and its specific impact on the overall development. Numerous shortcomings in domestic agriculture and rural areas have been identified. The following actions can help achieve modernization: strengthening strategic leadership, providing policy support and constructing supportive measures. Originality/value: This paper summarizes the significance of agricultural and rural modernization, highlights the issues regarding such modernization and suggests effective solutions. [ABSTRACT FROM AUTHOR]