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Considering agriculture's substantial carbon emissions, it is essential to examine how the digital economy can stimulate green innovation and low-carbon development by impacting these emissions. This article employs panel data from 31 provinces in China, covering the period from 2011 to 2020, to empirically analyze the effects of digital economy development on agricultural carbon emissions. The results indicate that: (1) Agricultural green total factor productivity has a partial mediating effect in the impact of the digital economy on agricultural carbon emissions, and green finance has a negative regulatory effect. (2) Green finance positively regulates the inhibitory effect of agricultural green total factor productivity on agricultural carbon emissions. (3) The development of the digital economy can inhibit agricultural carbon emissions, and this negative inhibitory effect follows a "U" shape. Our research offers a scientific foundation for the promotion of green and low-carbon development within Chinese agriculture, while also providing valuable references and insights for the global integration and advancement of agricultural emissions reduction alongside the digital economy. [ABSTRACT FROM AUTHOR]

Introduction: The rapid advancement of digital technology has catalyzed the emergence of "digital villages," presenting both new opportunities and challenges for the digital transformation of agriculture. This transformation has become a core driving force behind sustainable agricultural development. This paper utilizes panel data from 30 provincial-level administrative regions of mainland China (excluding Tibet) for the period 2011 to 2020 to explore how digital rural development (DRD) impacts agricultural green total factor productivity (AGTFP) and examines its underlying mechanisms. Methods: Regarding variable measurement, the study employs the entropy weighting method to quantify the DRD and uses an extended Data Envelopment Analysis-Malmquist model to assess AGTFP. For the research approach, the study constructs a two-way fixed effects model to evaluate the impact of DRD on AGTFP and explores the underlying mechanisms. Specifically, the study conducts benchmark regression analysis, endogeneity tests, robustness tests, mechanism examinations, and heterogeneity tests. Results: (1) DRD significantly enhances AGTFP, a conclusion that remains robust following the province-year clustering robust standard error estimates, winsorization tests, and excluding COVID-19-affected years. (2) Mechanistic analysis indicates that DRD primarily boosts AGTFP by promoting the development of digital inclusive finance (DIF) and facilitating the integration of primary, secondary, and tertiary industries (IPST). (3) Heterogeneity tests show that the positive impact of DRD on AGTFP is more pronounced in regions with higher levels of informatization and central regions of China. Discussion: To harness DRD's potential more effectively in fostering sustainable agricultural development, policymakers should concentrate on DIF and the IPST. Additionally, the government should pay close attention to disparities in informatization levels and resource allocation across regions and develop targeted strategies accordingly. Fundamentally, this study aims to elucidate China's efficacy in rural digitalization and the green transformation of agriculture to an international audience. It seeks to provide insights and guidance on formulating more scientific, efficient, and sustainable strategies for agricultural development worldwide, thereby promoting green agricultural growth and supporting rural revitalization. [ABSTRACT FROM AUTHOR]

The key to sustainable agricultural development is the transition to an environmentally friendly economic growth model. The development of agricultural credit (AC) plays an important role in promoting the shift of agricultural economic growth toward a green and low-carbon direction. In this context, a key question that needs to be addressed is the theoretical basis for how AC development affects agricultural green total factor productivity (AGTFP), and whether this relationship can be empirically tested. This article analyzes the impact mechanism of China's AC development on AGTFP and conducts empirical testing using provincial panel data from 2009 to 2019. The results show that AC development significantly contributes to improving AGTFP. In terms of the underlying mechanism, AC development primarily fosters agricultural green technology innovation, thereby enhancing AGTFP. [ABSTRACT FROM AUTHOR]

Based on provincial panel data in the Yellow River Basin from 2012 to 2021, calculate the green total factor productivity of agriculture in the basin using the Global Malmquist Lunberger model, and empirically analyze the impact of digital inclusive finance on the green total factor productivity of agriculture in the basin. The results indicate that: ① The green total factor productivity of agriculture in the Yellow River Basin is showing an increasing trend, with an average annual growth rate of 2. 5%. Among various regions, the average green total factor productivity of downstream agriculture is the highest, the middle reaches are the lowest, and the upstream is at the middle level. Among all provinces (regions), only Inner Mongolia Autonomous Region has an average agricultural green total factor productivity of less than 1, mainly due to the phenomenon of technological progress being hindered, resulting in a decline in overall agricultural green production technology. The average green total factor productivity of agriculture in other provinces (regions) is greater than 1, and only Shanxi Province has the problem of poor technology transformation and low technology transformation efficiency. ② The total index of digital inclusive finance, coverage breadth, depth of use, and degree of digitization have significant positive effects on the overall agricultural green total factor productivity, technological progress index, and technological efficiency index in the Yellow River Basin. The total index of digital inclusive finance and the degree of digitization index have significant positive impacts on upstream, midstream, and downstream, while the coverage breadth index and depth of use index have significant positive impacts on midstream and downstream, while the positive impact on upstream is not significant. [ABSTRACT FROM AUTHOR]

Green is the foundation of agricultural development. By leveraging modern information technology, digital village construction injects new momentum into the green growth of agriculture. Using balanced panel data from 31 provinces in China from 2011 to 2022, this paper employs the entropy approach and SBM-GML index to measure the indicators of digital village construction and agricultural green total factor productivity (AGTFP). The impacts and mechanisms of digital village construction on AGTFP are examined through fixed effect, mediating effect, and threshold models. The findings are as follows: (1) AGTFP in China shows an overall increasing trend from 2011 to 2022, with significant growth in the western region compared to the eastern and central regions. (2) Digital village construction significantly accelerates the improvement of AGTFP, a conclusion supported by robustness tests. (3) Mechanism analysis indicates that digital village construction advances AGTFP by fostering agricultural technology innovation, enhancing agricultural human capital, and improving agricultural productive services. (4) Digital village construction has a more significant impact on major grain-producing areas, economically underdeveloped areas, and northern region compared to other regions. (5) Environmental regulation acts as a threshold effect on the impact of digital village construction on AGTFP. Digital village construction substantially impacts AGTFP when environmental regulation is below the threshold, with the positive effect continuing beyond this point but at a reduced intensity. [ABSTRACT FROM AUTHOR]

Introduction: Given the dual constraints of limited resources and environmental concerns, achieving green development in agriculture helps to enhance national food security, resource security, and ecological security. Methods: Utilizing panel data sourced from 30 provinces within China, spanning the years from 2001 to 2021, this paper employs the super-efficiency Slack-Based Measure (SBM) model and the Global Malmquist-Luenberger (GML) index to measure agricultural green total factor productivity (AGTFP). It utilizes methods such as the stepwise Differences in Differences (DID), mediation effect models, and moderating effect models to systematically explore the impact of the implementation of Free Trade Pilot Zones (FTPZs) on AGTFP and its mechanisms of action. Results: The study finds: (1) Establishing FTPZs significantly boosts AGTFP, indicating a profound positive influence; (2) The promotional effect of FTPZs on AGTFP is stronger in the eastern and central regions, as well as in major grain-producing areas; (3) FTPZs may enhance AGTFP by promoting the effect of agricultural structure upgrading, i.e., a transmission mechanism exists from FTPZs to the agricultural structure upgrading effect to AGTFP; (4) The agricultural scale effect plays a positive moderating role in the impact of FTPZs on AGTFP. Discussion: It is advisable to optimize agricultural measures related to FTPZs, promote agricultural structural upgrading and scale enhancement, adapt strategies to local conditions to advance green agricultural development, and thereby promote the coordinated development of FTPZs and AGTFP. [ABSTRACT FROM AUTHOR]

Green is the foundation of agricultural development. By leveraging modern information technology, digital village construction injects new momentum into the green growth of agriculture. Using balanced panel data from 31 provinces in China from 2011 to 2022, this paper employs the entropy approach and SBM-GML index to measure the indicators of digital village construction and agricultural green total factor productivity (AGTFP). The impacts and mechanisms of digital village construction on AGTFP are examined through fixed effect, mediating effect, and threshold models. The findings are as follows: (1) AGTFP in China shows an overall increasing trend from 2011 to 2022, with significant growth in the western region compared to the eastern and central regions. (2) Digital village construction significantly accelerates the improvement of AGTFP, a conclusion supported by robustness tests. (3) Mechanism analysis indicates that digital village construction advances AGTFP by fostering agricultural technology innovation, enhancing agricultural human capital, and improving agricultural productive services. (4) Digital village construction has a more significant impact on major grain-producing areas, economically underdeveloped areas, and northern region compared to other regions. (5) Environmental regulation acts as a threshold effect on the impact of digital village construction on AGTFP. Digital village construction substantially impacts AGTFP when environmental regulation is below the threshold, with the positive effect continuing beyond this point but at a reduced intensity. [ABSTRACT FROM AUTHOR]

Introduction: Given the dual constraints of limited resources and environmental concerns, achieving green development in agriculture helps to enhance national food security, resource security, and ecological security. Methods: Utilizing panel data sourced from 30 provinces within China, spanning the years from 2001 to 2021, this paper employs the super-efficiency Slack-Based Measure (SBM) model and the Global Malmquist-Luenberger (GML) index to measure agricultural green total factor productivity (AGTFP). It utilizes methods such as the stepwise Differences in Differences (DID), mediation effect models, and moderating effect models to systematically explore the impact of the implementation of Free Trade Pilot Zones (FTPZs) on AGTFP and its mechanisms of action. Results: The study finds: (1) Establishing FTPZs significantly boosts AGTFP, indicating a profound positive influence; (2) The promotional effect of FTPZs on AGTFP is stronger in the eastern and central regions, as well as in major grain-producing areas; (3) FTPZs may enhance AGTFP by promoting the effect of agricultural structure upgrading, i.e., a transmission mechanism exists from FTPZs to the agricultural structure upgrading effect to AGTFP; (4) The agricultural scale effect plays a positive moderating role in the impact of FTPZs on AGTFP. Discussion: It is advisable to optimize agricultural measures related to FTPZs, promote agricultural structural upgrading and scale enhancement, adapt strategies to local conditions to advance green agricultural development, and thereby promote the coordinated development of FTPZs and AGTFP. [ABSTRACT FROM AUTHOR]

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Introduction: The primary function and spatial layout of agriculture are essential foundations and prerequisites for achieving green development. This paper explores the growth drivers for the green transformation of agricultural production in Guangdong, China, aiming to guide the continuous green and low-carbon development of agricultural productivity in Guangdong. Methods: Based on the panel data of 21 prefecture-level cities in Guangdong, China, from 2004 to 2022, this paper uses DEA-BCC and DEA-Malmquist to measure the agricultural green total factor productivity (AGTFP) and its decomposition efficiency in Guangdong China. The SDM is employed to analyze its spatial spillover roles of the agricultural industrial structure (AIS) innovation. Results: The results show that the AGTFP varies with an overall fluctuating upward trend, but the imbalance of regional differences still exists, characterized as "Pearl River Delta > Eastern Wing > Western Wing > Mountainous Area," indicating the siphoning role from Pearl River Delta. There is a strong spatial correlation between the AGTFP and the AIS. Discussion: Our evidence suggests that the AIS innovation improves the AGTFP and can have positive spatial consequences in neighboring areas. Besides, human capital hinders AGTFP, accounting for the self-exploitation in agricultural production driven by the excessive labor force input. Our findings highlight the spatial impact of the AIS innovation on the AGTFP when greening agricultural production. [ABSTRACT FROM AUTHOR]

Agricultural service trade is closely related to the promotion of the sustainable development of China's agriculture and is necessary for comprehensive rural revitalization. To clarify the relationship between trade in agricultural services and agricultural green total factor productivity (AGTFP) from a macroscopic perspective and then analyze the acting path and threshold effect, can provide an important reference for improving agriculture's green level and realizing the sustainable development of agriculture. This paper uses the provincial panel data of China from 2007 to 2022 to measure agricultural green total factor productivity (AGTFP) using the SBM-GML model and explores the impact of agricultural service trade on AGTFP with the help of the fixed effect model, the mediation effect model, and the threshold model. According to this study: (1) Trade in agricultural services can significantly increase AGTFP. (2) Mechanism analysis shows that trade in agricultural services can promote AGTFP through promoting industrial agglomeration, enhancing technological innovation, and improving factor allocation. (3) Heterogeneity analysis shows that trade in agricultural services has a more obvious role in promoting AGTFP in the eastern region and the main grain marketing area. (4) The threshold effect finds that the promotion of agricultural services trade on AGTFP will gradually increase as the level of government support rises. Therefore, China should actively promote the development of agricultural service trade, implement the concept of sustainable development, improve the level of government support, and promote the improvement in agricultural total factor productivity and sustainable development. [ABSTRACT FROM AUTHOR]

Current climate issues pose a challenge to green development, so it is important to study the relationship between climate change and agricultural green total factor productivity (AGTFP). This paper constructs a panel smooth transition regression (PSTR) model using panel data from 2005 to 2019 in China to evaluate the relationship between climate change and agricultural green total factor productivity. Selecting agricultural operation scale, agricultural premium and green finance index as transfer variables, the PSTR model is constructed, respectively. The empirical results show that the impacts of different types of climate change on AGTFP have significant nonlinear characteristics. Smaller and larger agricultural operation scales can mitigate the negative impact of sunshine impact on AGTFP. Higher agricultural premiums and lower or higher green finance index can mitigate the negative impact of temperature shock and sunshine shock on AGTFP. Based on the research results, we put forward policy recommendations to encourage the expansion of agricultural operation scale, promote agricultural insurance and promote the construction of a green financial system. [ABSTRACT FROM AUTHOR]

The integration of agriculture and tourism has emerged as a potential strategy to boost agricultural productivity and promote sustainable rural development in China. This study investigates the impact of agricultural tourism integration (ATI) on agricultural green total factor productivity (AGTFP) in China, filling a research gap in understanding the complex dynamic nexus. We examine the mediating role of the agricultural industrial structure adjustment index (AISAI) and the threshold effects of ATI and human capital level (HCL) using a panel dataset of 30 Chinese provinces from 2011 to 2021. The empirical results reveal three key findings: (1) ATI has a significant positive impact on AGTFP growth; (2) the AISAI partially mediates the relationship between ATI and AGTFP; and (3) ATI and HCL have a double-threshold effect and a single-threshold effect on the ATI-AGTFP nexus, respectively. These findings suggest that the effectiveness of ATI in promoting AGTFP varies across different stages of integration and levels of human capital development. The empirical results contribute to the literature on rural development strategies by providing an in-depth understanding of how ATI influences agricultural productivity and sustainability. Based on these findings, we propose targeted policy recommendations to optimize ATI strategies and invest in human capital to improve the resilience and sustainability of rural economies in China. [ABSTRACT FROM AUTHOR]

Considering agriculture's substantial carbon emissions, it is essential to examine how the digital economy can stimulate green innovation and low-carbon development by impacting these emissions. This article employs panel data from 31 provinces in China, covering the period from 2011 to 2020, to empirically analyze the effects of digital economy development on agricultural carbon emissions. The results indicate that: (1) Agricultural green total factor productivity has a partial mediating effect in the impact of the digital economy on agricultural carbon emissions, and green finance has a negative regulatory effect. (2) Green finance positively regulates the inhibitory effect of agricultural green total factor productivity on agricultural carbon emissions. (3) The development of the digital economy can inhibit agricultural carbon emissions, and this negative inhibitory effect follows a “U” shape. Our research offers a scientific foundation for the promotion of green and low-carbon development within Chinese agriculture, while also providing valuable references and insights for the global integration and advancement of agricultural emissions reduction alongside the digital economy.

IntroductionThe rapid advancement of digital technology has catalyzed the emergence of “digital villages,” presenting both new opportunities and challenges for the digital transformation of agriculture. This transformation has become a core driving force behind sustainable agricultural development. This paper utilizes panel data from 30 provincial-level administrative regions of mainland China (excluding Tibet) for the period 2011 to 2020 to explore how digital rural development (DRD) impacts agricultural green total factor productivity (AGTFP) and examines its underlying mechanisms.MethodsRegarding variable measurement, the study employs the entropy weighting method to quantify the DRD and uses an extended Data Envelopment Analysis-Malmquist model to assess AGTFP. For the research approach, the study constructs a two-way fixed effects model to evaluate the impact of DRD on AGTFP and explores the underlying mechanisms. Specifically, the study conducts benchmark regression analysis, endogeneity tests, robustness tests, mechanism examinations, and heterogeneity tests.Results(1) DRD significantly enhances AGTFP, a conclusion that remains robust following the province-year clustering robust standard error estimates, winsorization tests, and excluding COVID-19-affected years. (2) Mechanistic analysis indicates that DRD primarily boosts AGTFP by promoting the development of digital inclusive finance (DIF) and facilitating the integration of primary, secondary, and tertiary industries (IPST). (3) Heterogeneity tests show that the positive impact of DRD on AGTFP is more pronounced in regions with higher levels of informatization and central regions of China.DiscussionTo harness DRD’s potential more effectively in fostering sustainable agricultural development, policymakers should concentrate on DIF and the IPST. Additionally, the government should pay close attention to disparities in informatization levels and resource allocation across regions and develop targeted strategies accordingly. Fundamentally, this study aims to elucidate China’s efficacy in rural digitalization and the green transformation of agriculture to an international audience. It seeks to provide insights and guidance on formulating more scientific, efficient, and sustainable strategies for agricultural development worldwide, thereby promoting green agricultural growth and supporting rural revitalization.

Increasing agricultural productivity and reducing carbon emissions are two major challenges that China faces. This paper explores how agricultural insurance affects agricultural green total factor productivity (AGTFP) that addresses these two challenges. First, we adopt DDF-GML to measure AGTFP, and the Dagum's Gini decompositions results show the large differences in AGTFP, with transvariation between subregions contributing the most. Second, we find the U-shaped effect of agricultural insurance on AGTFP in a large country context. The result remains robust after adjusting for time, sample and estimation method of AGTFP. We also construct instrumental variables from the minimum distance from the centroid of counties within a province to the 45 ports in China and two-stage lagged agricultural insurance penetration (AIP) for AIP, and their squares as instrumental variables for AIP2. The conclusion remains robust in 2SLS model. Third, the findings confirm three channels for agricultural insurance to influence the AGTFP: environmentally friendly production, labor inputs and operation scale. We further propose policy advice to promote China's agricultural modernization and point out further research directions in this field. [ABSTRACT FROM AUTHOR]

Green development has become one of the important concepts leading China's economic developments, and it is extremely meaningful to boost the continuous growth of agricultural green total factor productivity (AGTFP) to achieve the construction of a powerful agricultural country. Using China's provincial data from 2011 to 2020, this manuscript calculates AGTFP through the SBM–GML model, and the digital green finance (DGF) through a comprehensive indicator system. The double fixed-effect model, quantile model and spatial Durbin model are used for in-depth study of the benchmark influence, the nonlinear effect and spatial spillover effect of DGF on AGTFP. The main research conclusions of the article are as follows: (1) DGF is significantly conducive to the improvement of AGTFP. Along with the continuous growth of AGTFP, the promoting effect of DGF has gradually increased. (2) In terms of impact path, green finance can properly promote the growth of AGTFP, while the role of the degree of digitization is not very significant. Meanwhile, the main channel for DGF to promote AGTFP is through green technology efficiency. (3) The impact of DGF on AGTFP varies spatially, while the role is more effective in regions with a higher degree of economic development and well-developed modernization. (4) There is a spatial spillover effect of DGF's impact on AGTFP, which means that DGF can simultaneously promote the growth of AGTFP in local regions and neighboring regions. [ABSTRACT FROM AUTHOR]

Based on the panel data of 11 provinces and cities in the Yangtze River Economic Belt from 2002 to 2021, this paper uses the SBM-GML index method and the entropy value method to measure the level of agricultural green total factor productivity and the level of new urbanization and new industrialization in the Yangtze River Economic Belt, and then uses the panel Tobit model to analyze the impact of new urbanization and new industrialization on agricultural green total factor productivity. The results show that the level of agricultural green total factor productivity of all provinces and cities in the Yangtze River Economic Belt from 2002 to 2006 is not satisfactory, but the level of agricultural green total factor productivity of all provinces and cities in the economic belt from 2007 to 2021 is significantly improved, and the level of new urbanization and industrialization in the Yangtze River Economic Belt also shows a steady upward trend. New-type urbanization and newtype industrialization have a significant positive impact on the improvement of agricultural green total factor productivity in the Yangtze River Economic Belt, and the impact of new-type industrialization is even greater. Based on this, in order to further tap the potential of new urbanization and new industrialization in the Yangtze River Economic Belt to improve the green total factor productivity of agriculture, it is suggested that all provinces and cities in the Yangtze River Economic Belt should steadily promote the development of new urbanization while continuously injecting new “vitality” into new industrialization, help improve the level of local agricultural green total factor productivity, and further reduce undesirable output by optimizing the agricultural industrial structure and transforming rural power grids. [ABSTRACT FROM AUTHOR]

Education plays a crucial role in promoting green development by shaping environmentally friendly production behaviors and fostering low-carbon lifestyles. This research examines the impact of China's free compulsory education (FCE) policy on agricultural green total factor productivity (AGTFP) using provincial panel data from 2002 to 2015. Additionally, it explores the impact mechanisms and regional heterogeneity. The results indicate that first, the FCE policy has a significantly positive effect on AGTFP, as confirmed through a series of robustness tests. Second, the FCE policy primarily influences AGTFP by increasing farmers' awareness of green production and promoting the development of green technologies in agriculture. Third, the impact of the FCE policy varies across regions. It promotes green technologies in agriculture in developed provinces and fosters ecological awareness among farmers in less developed provinces. These findings offer valuable empirical evidence and policy implications for implementing education popularization projects and reducing agricultural carbon emissions in developing countries. [ABSTRACT FROM AUTHOR]

The improvement in urban production efficiency has led to income distribution being skewed towards urban labor, thereby widening the urban–rural income gap. However, integration of the agricultural industry at the county level can accelerate the flow of production factors between industries. Therefore, this study evaluates the degree of agricultural industry integration at the county level using the entropy weight method and explores its impact on the urban–rural income gap, based on sample data from 1122 counties in China spanning from 2014 to 2021. The research findings reveal the following: (1) The fixed model demonstrates that enhancing agricultural industry integration can significantly narrow the urban–rural income gap; (2) The mediating model indicates that this narrowing effect can be achieved by improving the green total factor productivity of agriculture; (3) Regional heterogeneity analysis indicates that the impact of agricultural industry integration is more pronounced in the central region and main crop production areas; (4) The results of the spatial Durbin model demonstrate that agricultural industry integration also exhibits a significant positive spatial spillover effect on neighboring areas. The outcomes of this study contribute to enriching the research on agricultural industry integration for green and low-carbon agricultural development, further promoting the development of county-level agricultural industry integration, and providing valuable insights for other similar countries. [ABSTRACT FROM AUTHOR]

China’s Rural Multifunctional Community (RMC) construction is an effective means to achieve economic growth and environmental sustainability in agriculture. Therefore, we measure the agricultural green total factor productivity (AGTFP) in China considering carbon emissions and non-point source pollution and examine the impact of China’s pilot RMC policy on AGTFP using the difference-in-difference (DID) model based on panel data for 30 of China’s provincial-level regions during 2010–2020. Further, we analyze the regional heterogeneity and internal transmission channel. The main findings are as follows. First, the implementation of China’s pilot RMC policy significantly increases AGTFP. Second, the effects have a downward trend from eastern to western China which may be caused by the different levels in the economy, infrastructure, environmental resources, labor size and quality, transportation, innovation capability, etc. Finally, China’s pilot RMC policy can improve AGTFP through the channels of rural industrial convergence, agricultural green technology innovation and urban-rural income gap reduction. [ABSTRACT FROM AUTHOR]

Given its status as the largest water-using sector, it remains pivotal to enhance the water usage efficiency within the agricultural sector to safeguard water resources. The main goal of the Integrated Agricultural Water Pricing Reform (IAWPR) is to encourage water conservation and foster sustainable agricultural development. Nonetheless, achieving sustainable progress in agriculture necessitates a dual focus: not only on the sustainable exploitation of resources but also on upholding the welfare of the population. The impact of the policy on farmers' welfare is not straightforward and requires scientific verification. To this end, the study focuses on the new relationship between IAWPR and farmers' income, exploring its underlying mechanism to broaden the economic benefits of IAWPR. In addition, combining multi-phase Difference-in-Differences (DID) and biennial Malmquist-Luenberger (BML) productivity index overcomes the limitations of traditional measurement methods. The results indicate that the IAWPR has a significant positive impact on farmers, leading to a 31.9% increase in income, and the impact is even more pronounced in the non-farm sector. Furthermore, the IAWPR primarily operates through enhancing agricultural green total factor productivity (AGTFP), where technological change (TC) serves as the principal driving factor of improvements in agricultural efficiency.

The integration of agriculture and tourism has emerged as a potential strategy to boost agricultural productivity and promote sustainable rural development in China. This study investigates the impact of agricultural tourism integration (ATI) on agricultural green total factor productivity (AGTFP) in China, filling a research gap in understanding the complex dynamic nexus. We examine the mediating role of the agricultural industrial structure adjustment index (AISAI) and the threshold effects of ATI and human capital level (HCL) using a panel dataset of 30 Chinese provinces from 2011 to 2021. The empirical results reveal three key findings: (1) ATI has a significant positive impact on AGTFP growth; (2) the AISAI partially mediates the relationship between ATI and AGTFP; and (3) ATI and HCL have a double-threshold effect and a single-threshold effect on the ATI-AGTFP nexus, respectively. These findings suggest that the effectiveness of ATI in promoting AGTFP varies across different stages of integration and levels of human capital development. The empirical results contribute to the literature on rural development strategies by providing an in-depth understanding of how ATI influences agricultural productivity and sustainability. Based on these findings, we propose targeted policy recommendations to optimize ATI strategies and invest in human capital to improve the resilience and sustainability of rural economies in China.

Highway construction is vital in agricultural production, directly influencing food security and public health. This study utilized the Epsilon-based measurementglobal-Malmquist-model (EBM-GML) and the spatial econometrics model with 31 Chinese provinces' panel data from 2002 to 2020 to investigate the impacts and the mechanisms of low-grade and high-grade highways on the agricultural green total factor productivity (AGTFP). Research findings indicated that (1) lowgrade and high-grade highway construction significantly promote the AGTFP through technological progress, and the high-grade highway exerts a significant positive spillover effect on the adjacent areas' AGTFP. (2) The mechanisms of low-grade and high-grade roads on the AGTFP are heterogenous. Lowgrade roads could improve the AGTFP by encouraging the rationalization of the agricultural industry structure. High-grade highways promote the AGTFP by upgrading the industry structure. And each-grade road could promote the AGTFP by stimulating the integration of planting and breeding. (3) Both lowgrade and high-grade highways improved the AGTFP in non-main-grainproducing areas but inhibited it in main-grain-producing areas. Therefore, this study provided practical policy recommendations for green development in China's agricultural sector and valuable insights for other developing countries. [ABSTRACT FROM AUTHOR]

Realizing the green development of agriculture is an important foundation for the sustainable development of the economy and society. In China, rural industrial integration is a major innovation in the development of rural productivity in the new development stage, which is of great significance for promoting the green development of agriculture and enhancing the green total factor productivity of agriculture. Based on the panel data of 30 provinces in China from 2010 to 2021, the superSBM method was used to estimate agricultural green total factor productivity (AGTFP), and the comprehensive index method and entropy method were used to measure the level of rural industrial integration. Based on the spatial autoregressive model with a spatial autoregressive error term (SARAR model), intermediary effect model and threshold effect model with a spatial autoregressive error term, the influence and mechanism of rural industry integration on AGTFP were demonstrated. The results show that (1) there is a significant positive relationship between the development level of rural industry integration and AGTFP; that is, the development of rural industry integration can effectively promote the improvement of AGTFP and promote the green development of agriculture. Considering the spatial effect and endogeneity, the robustness test based on the generalized spatial two-stage least square method (GS2SLS) further strengthens the above mentioned conclusion. (2) Rural industrial integration has a significant scale effect, capital effect and technology effect; that is, rural industrial integration mainly promotes AGTFP indirectly by promoting agricultural scale management, improving rural human capital and promoting agricultural technological progress. (3) The influence of rural industry convergence on AGTFP has the characteristics of a single threshold. With the improvement of the integration level, the influence of rural industry convergence on AGTFP shows an increasing trend. Therefore, China should strengthen the deeply integrated development of rural industries, promote the appropriate scale operation of agriculture and the adjustment of planting structure, accelerate the process of agricultural technology innovation and rural human capital accumulation, and realize the win-win situation of rural economic and ecological construction [ABSTRACT FROM AUTHOR]

Green development has become one of the important concepts leading China’s economic developments, and it is extremely meaningful to boost the continuous growth of agricultural green total factor productivity (AGTFP) to achieve the construction of a powerful agricultural country. Using China’s provincial data from 2011 to 2020, this manuscript calculates AGTFP through the SBM–GML model, and the digital green finance (DGF) through a comprehensive indicator system. The double fixed-effect model, quantile model and spatial Durbin model are used for in-depth study of the benchmark influence, the nonlinear effect and spatial spillover effect of DGF on AGTFP. The main research conclusions of the article are as follows: (1) DGF is significantly conducive to the improvement of AGTFP. Along with the continuous growth of AGTFP, the promoting effect of DGF has gradually increased. (2) In terms of impact path, green finance can properly promote the growth of AGTFP, while the role of the degree of digitization is not very significant. Meanwhile, the main channel for DGF to promote AGTFP is through green technology efficiency. (3) The impact of DGF on AGTFP varies spatially, while the role is more effective in regions with a higher degree of economic development and well-developed modernization. (4) There is a spatial spillover effect of DGF’s impact on AGTFP, which means that DGF can simultaneously promote the growth of AGTFP in local regions and neighboring regions.

Based on the panel data for 30 provinces in China from 2004 to 2020, this study explores the impact of technological innovation and environmental regulation on agricultural green total factor productivity by using the dynamic spatial Durbin panel model and the spatial panel threshold regression model. The results show that technological innovation significantly contributes to the improvement of AGTFP. Such positive impact is derived from the direct effect of technological innovation within the local province and the spatial spillover effect of technological innovation in neighboring provinces. Additionally, environmental regulation has a significant double-threshold effect on the technological innovation - AGTFP relationship. Within medium-level environmental regulation, the positive impact of technological innovation on AGTFP achieves a leap forward. Therefore, technological innovation serves as a motivator of agricultural green development, and appropriate intensity of environmental regulation is recommended in the endeavor of promoting green total factor productivity by technological innovation. [ABSTRACT FROM AUTHOR]

Currently, the integrated development of agriculture and tourism is one of the most critical strategic measures in China. The rapid growth of agricultural tourism integration presents the typical characteristics of expanding regional differences. Exploring the impact of agricultural tourism integration on the growth of green total factor productivity in agriculture has important theoretical and practical significance. This study constructs a comprehensive index system for agricultural tourism integration, measuring the development level of agricultural tourism integration in 30 sample provinces from 2008 to 2018. Using the generalized system method of moments approach and Tobit model, the impact of agricultural tourism integration on agriculture was empirically tested, and the regulatory role of rural human capital was discussed. It was found that agricultural tourism integration contributes significantly to the improvement in green total factor productivity in agriculture, with rural mobility human capital, education human capital, and health human capital all playing a significant positive moderating role in this process. Finally, it is recommended that priority be given to agricultural tourism integration in the policy framework, promoting industrial chain upgrading, raising investment in rural infrastructure, and upgrading rural human capital levels to contribute the rural economic development. [ABSTRACT FROM AUTHOR]

Promoting agricultural green development is not only an effective approach to rural revitalization, but also an internal requirement for enabling agricultural modernization. The improvement of agricultural human capital determines the level of agricultural green development. This study first constructed the rural labor coefficient of 30 provinces in China from 2011 to 2021 and analyzed the overall situation of rural human capital. Then, by using the super-efficiency SBM method, this study constructed a GM index to measure agricultural green total factor productivity and its decomposition index. The study also analyzed the level distribution and regional differences of agricultural green total factor productivity in China. Finally, the study carried out an empirical analysis combining with the rural labor coefficient and the agricultural green total factor productivity index. The results showed that: ① The rural aging coefficient of China increased by 0.063 from 2011 to 2021, and the persistent issue of rural aging continuously impacted the sustainable development of agriculture and rural areas. ② Agricultural green total factor productivity in China was predominantly above 1 from 2011 to 2020, indicating a good trend of agricultural green development, and the main driver of this growth was the progress of agricultural green technology. ③ The aging of rural human capital structure significantly inhibited the improvement of agricultural green total factor productivity, and after a series of robustness tests, this conclusion was still valid. Mechanism analysis showed that progress in innovation level played a partial mediating role in the above relationship. The heterogeneity analysis showed that in areas with low education levels and western China, rural population aging had a significant inhibitory effect on agricultural green total factor productivity. However, in areas with high education level and eastern and western China, the impact of rural population aging on agricultural green total factor productivity was not significant. Compared with areas with low environmental regulation intensity, rural population aging in areas with high environmental regulation intensity had a more obvious inhibitory effect on agricultural green total factor productivity. Based on the above conclusions, this study puts forward policy suggestions from three aspects: talent construction, industry integration, and system reform. The research results provide certain empirical foundation for understanding the relationship between rural aging and agricultural green total factor productivity and have certain policy implications for addressing the issue of rural aging, the comprehensive realization of rural revitalization, and the coordination between agricultural and rural green development. [ABSTRACT FROM AUTHOR]

Copyright of China Forestry Economy is the property of China Forestry Economy Magazine Agency and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The digital economy is integral in driving economic growth, particularly of high-quality standards. Against the backdrop of the "Double Carbon" project, exploring the impact of the digital economy on green agricultural development bears tremendous practical significance. Thus, this study aims to investigate how the digital economy affects agricultural green total factor productivity (GTFP). The entropy-TOPSIS method and SBM-GML index are used to measure core variables quantitatively. In addition, two-way fixed effects panel data models, Tobit, and intermediary effect models are implemented. Three research findings emerge. First, China's agricultural GTFP level generally experiences an upward trend, and the development of the digital economy has a significant positive effect on increasing agricultural GTFP. Second, the digital economy mainly promotes agricultural technology innovation that boosts agricultural GTFP. Third, Western China experiences a more significant positive effect of the digital economy on agricultural GTFP than Central and Eastern China. Finally, based on the findings, this paper proposes relevant policy recommendations to promote green and sustainable agriculture development. [ABSTRACT FROM AUTHOR]

In the context of emphasizing on the development of green agriculture globally, this research examines the impact of green trade barriers on agricultural green total factor productivity (AGTFP) based on panel data from China and OECD countries from 2005 to 2019. The strong evidence shows that the green trade barriers have a positive effect on improving the country's AGTFP. In addition, agricultural trade scale will reduce the impact of green trade barriers on AGTFP. The smaller the agricultural trade scale, the greater improvement effect of green trade barriers on AGTFP, otherwise the trade scale will inhibit it. Finally, the empirical evidence offers suggestions for government, policy makers, such as strengthen the monitoring and supervision of green trade barriers, optimize agricultural industry structure, actively integrate with international standards, and continuously improve agricultural technology and health standards. [ABSTRACT FROM AUTHOR]

Education plays a crucial role in promoting green development by shaping environmentally friendly production behaviors and fostering low-carbon lifestyles. This research examines the impact of China’s free compulsory education (FCE) policy on agricultural green total factor productivity (AGTFP) using provincial panel data from 2002 to 2015. Additionally, it explores the impact mechanisms and regional heterogeneity. The results indicate that first, the FCE policy has a significantly positive effect on AGTFP, as confirmed through a series of robustness tests. Second, the FCE policy primarily influences AGTFP by increasing farmers’ awareness of green production and promoting the development of green technologies in agriculture. Third, the impact of the FCE policy varies across regions. It promotes green technologies in agriculture in developed provinces and fosters ecological awareness among farmers in less developed provinces. These findings offer valuable empirical evidence and policy implications for implementing education popularization projects and reducing agricultural carbon emissions in developing countries.

The improvement in urban production efficiency has led to income distribution being skewed towards urban labor, thereby widening the urban–rural income gap. However, integration of the agricultural industry at the county level can accelerate the flow of production factors between industries. Therefore, this study evaluates the degree of agricultural industry integration at the county level using the entropy weight method and explores its impact on the urban–rural income gap, based on sample data from 1122 counties in China spanning from 2014 to 2021. The research findings reveal the following: (1) The fixed model demonstrates that enhancing agricultural industry integration can significantly narrow the urban–rural income gap; (2) The mediating model indicates that this narrowing effect can be achieved by improving the green total factor productivity of agriculture; (3) Regional heterogeneity analysis indicates that the impact of agricultural industry integration is more pronounced in the central region and main crop production areas; (4) The results of the spatial Durbin model demonstrate that agricultural industry integration also exhibits a significant positive spatial spillover effect on neighboring areas. The outcomes of this study contribute to enriching the research on agricultural industry integration for green and low-carbon agricultural development, further promoting the development of county-level agricultural industry integration, and providing valuable insights for other similar countries.

Improving agricultural green total factor productivity is important for achieving high-quality economic development and the SDGs. Digital inclusive finance, which combines the advantages of digital technology and inclusive finance, represents a new scheme that can ease credit constraints and information ambiguity in agricultural production. First, this study focused on agro-ecological functions; we incorporated total agricultural carbon sequestration and emissions extraction into the evaluation system and used the mixed-direction-distance function to calculate agricultural green total factor productivity. Then, based on panel data from 31 provinces in China collected from 2011 to 2021, we used the two-way fixed effect model, the interactive fixed effect, and the plausibly exogenous variable method to test the impact of digital financial inclusion on agricultural green total factor productivity, and its mechanism of action. The panel-corrected standard error and fixed effect Driscoll–Kraay methods were used to account for the unobserved heterogeneity and cross-section dependence in the panel data. The results showed that digital financial inclusion can significantly improve agricultural green total factor productivity. This conclusion remained valid following robustness tests using the spatial econometric model and the method of changing explanatory variables. Digital financial inclusion can improve agricultural green total factor productivity by facilitating the transfer of agricultural land. Sound digital infrastructure and strict green credit policies enhance the role of digital inclusive finance in promoting the green development of agriculture. These conclusions could help the financial sector to formulate flexible, accurate, reasonable, and appropriate financial policies and products that would support agriculture, and enhance the role of digital inclusive finance in promoting sustainable agricultural development. [ABSTRACT FROM AUTHOR]

The Chinese government has proposed a "double carbon" target as a response to climate change and has been incorporated in the vision 2035. Agriculture's green development is intrinsically related to financial support, but conventional financial mechanisms fall short in their efforts to foster economic growth and curb environmental degradation. The current research examines the theoretical effects of green finance on agricultural green total factor productivity in the context of "double carbon." The mediating effect and moderating effect models are used to empirically examine this mechanism based on the panel data (2015–2019) of 30 provinces in China. The estimated results suggest that green finance development can significantly increase agricultural green total factor productivity, with an inverted U effect and an apparent regional heterogeneity. The eastern region has a stronger promotional effect than the central and western regions. The advanced industrial structure plays a mediating effect on the impact of green finance on agricultural green total factor productivity. Rural human capital can effectively mediate the mediating effect of advanced industrial structure on the impact of green finance on agricultural green total factor productivity. The aforementioned results offer fresh perspectives and empirical evidence for China's green finance policy improvement, harmonizing regional green finance development, promotion of industrial structure improvement, and rural human capital optimization. [ABSTRACT FROM AUTHOR]

In recent years, promoting the construction of digital village has become an important national strategy in China. However, there is little literature on the relationship between digital village construction and agricultural green total factor productivity (AGTFP). To fill the gap, this study used a sample of 1 740 county-level administrative units in China in 2019 and used the instrumental variable model and the mediating effect model to examine the impact of digital village construction on AGTFP and its mechanisms. This study found that: ① Digital village construction promoted the improvement of AGTFP. A series of robustness tests, including instrumental variable test, proved that the findings still held. ② The impact of digital village construction on AGTFP was realized mainly through two pathways: one was by promoting scaled operations of agri-business, and for the AGTFP measured by the GML and ML indexes, the mediating effect of scaled operation degree accounted for 1.80% and 3.70% of the total effect, respectively; the other was by promoting the development of agricultural informatization and for the AGTFP measured by the GML and ML indexes, the mediating effect of agricultural informatization accounted for 1.70% and 1.40% of the total effect, respectively. ③ Heterogeneity analysis found that in areas with scaled agricultural operations, digital village construction significantly promoted AGTFP, while in areas without scaled operations, no such connection was found. In China' s eastern and central regions, digital villages exhibited a significant promotion effect on AGTFP, and no such effect was found in the western region. Therefore, the following measures are suggested to fully tap the potential for AGTFP improvement: we should continuously promote digital village construction, support scaled agricultural operations, promote agricultural technologies and the optimization of agricultural internal structure, promote steadily agricultural informatization and the optimization and integrated allocation of agricultural production factors and resources, implement non-balanced development strategies, and improve rural digital facilities according to local conditions. [ABSTRACT FROM AUTHOR]

The integrated development of agriculture and tourism is conducive to the realization of agricultural ecological value, which will promote the green development of agriculture and improve the green total factor productivity of agriculture as well. Based on panel data in China from 2008 to 2019, the super-efficiency SBM method and the coupling coordination degree model were used to estimate the agricultural green total factor productivity (AGTFP) and the integration level of agriculture and tourism (ATL). The dynamic spatial Durbin model and threshold effect model were used to demonstrate the effects and characteristics of the agriculture and tourism integration on AGTFP. Results showed that: 1) During the study period, AGTFP and ATL increased steadily, and showed obvious spatial agglomeration characteristics; 2) The integration of agriculture and tourism will directly promote the improvement of AGTFP in the local region, and this impact has a spatial spillover effect. The direct effect in the central region in China is the strongest, and the spillover effect in the eastern region is the largest. 3) The influence of the agriculture and tourism integration on AGTFP was enhanced with the improvement of ATL, showing a threshold characteristic. From the perspective of subregion, the threshold value of ATL in the eastern region is the lowest, while the threshold value in the western region is the highest. The results of this study provide useful enlightenment for promoting the deep integration of agriculture and tourism and improvement of AGTFP so as to promote the green development of agriculture.

Digital inclusive finance is key to China's agriculture and low-carbon economics. The panel data for China's 30 provinces were chosen from 2011 to 2019. An SBM GML model was applied in the thesis to measure agricultural green total factor productivity (GTFP), and to determine how Digital Inclusive Finance would affect agricultural GTFP a two-way fixed effect model was created. This study found that, from 2011 to 2019, the advancement of Digital Inclusive Finance could effectively enhance and drive the continuous increase of agricultural GTFP in China. Specifically, agricultural GTFP is increased by 0.288% as a result of every 1% rise in the Digital Inclusive Finance index; Digital Inclusive Finance helps agricultural green technologies advance and become more effective. According to a mechanism test, Digital Inclusive Finance increases agricultural GTFP growth by improving green technology innovation. Further analysis shows that the development of agricultural GTFP is significantly related to the depth and digitalization of Digital Inclusive Finance, but not in terms of its breadth. The above findings provide new ideas and empirical evidence for revealing the connection among Digital Inclusive Finance and agricultural GTFP and, on this basis, designing and improving relevant policies. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Ecology & Rural Environment is the property of Journal of Ecology & Rural Environment Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

As a favorite means to promote the development of green agriculture, agricultural insurance can not only encourage farmers to adopt green production technology and improve production efficiency, but also achieve the purpose of reducing the input of chemicals to protect the environment. This article aims to study the dynamic relationship between agricultural insurance, air pollution, and agricultural green total factor productivity using the panel vector auto-regressive method (PVAR) and panel data of 30 provinces in China from 2005 to 2018. The empirical results show that there is a significant cross-sectional dependence and the co-integration relationship between agricultural insurance, air pollution, and agricultural green total factor productivity. The increase in agricultural insurance can improve agricultural green total factor productivity and aggravate air pollution to a certain extent. However, serious air pollution does not improve agricultural green total factor productivity. Panel Granger causality test results show that agricultural insurance has a one-way causal relationship with green total factor productivity and air pollution, and so does air pollution with agricultural green total factor productivity. In addition, impulse response results show that increasing agricultural insurance or reducing air pollution can improve agricultural green total factor productivity. These conclusions have long-term practical implications for both agricultural policymakers and environmental managers. [ABSTRACT FROM AUTHOR]

Currently, the integrated development of agriculture and tourism is one of the most critical strategic measures in China. The rapid growth of agricultural tourism integration presents the typical characteristics of expanding regional differences. Exploring the impact of agricultural tourism integration on the growth of green total factor productivity in agriculture has important theoretical and practical significance. This study constructs a comprehensive index system for agricultural tourism integration, measuring the development level of agricultural tourism integration in 30 sample provinces from 2008 to 2018. Using the generalized system method of moments approach and Tobit model, the impact of agricultural tourism integration on agriculture was empirically tested, and the regulatory role of rural human capital was discussed. It was found that agricultural tourism integration contributes significantly to the improvement in green total factor productivity in agriculture, with rural mobility human capital, education human capital, and health human capital all playing a significant positive moderating role in this process. Finally, it is recommended that priority be given to agricultural tourism integration in the policy framework, promoting industrial chain upgrading, raising investment in rural infrastructure, and upgrading rural human capital levels to contribute the rural economic development.

Based on the Peking University Digital Financial Inclusion Index and 2011–2018 provincial panel data, this paper discusses the mechanism of digital financial inclusion on agricultural green total factor productivity from both theoretical and empirical perspectives. The result shows that digital financial inclusion can significantly increase China's agricultural green total factor productivity, and the optimization of the agricultural industry structure can bring a significant "structural growth effect". A total of 8.42% of the positive effects of digital financial inclusion on agricultural green total factor productivity are realized through the intermediary effect of agricultural industrial structure optimization. Through further research, it is found that digital financial inclusion has regional heterogeneity in the improvement of agricultural green total factor productivity. At the same time, digital financial inclusion of different dimensions will also have a differential impact on the improvement of agricultural green total factor productivity. In order to promote the green development of agriculture, it is necessary to further improve the financial development environment, optimize the structure of the agricultural industry, and formulate development policies for digital inclusive finance in accordance with local conditions. [ABSTRACT FROM AUTHOR]

Agricultural insurance and green agriculture are strongly related. Agricultural insurance not only motivates farmers to adopt environmentally friendly production technology and enhances the effectiveness of production, but it also accomplishes the goal of lowering the number of chemicals that are put into the environment. This article investigates the dynamic relationship between agricultural insurance, air pollution, and agricultural green total factor productivity. To complete the aim, the authors used the panel auto-regressive distributed lags method (PMG method) and panel data from 50 states of the United States between 2005 and 2019. The empirical findings demonstrate a considerable co-integration and a cross-sectional reliance between agricultural insurance, air pollution, and agricultural green total factor production. Expanding agricultural insurance may boost agricultural green whole factor output but also exacerbate air pollution. However, significant air pollution does not increase agricultural production's green total factor productivity. The panel Granger causality test shows a one-way causal relationship between agricultural insurance, green total factor productivity, and air pollution. A one-way causal relationship exists between air pollution and agricultural green total factor productivity. The author concluded that improving agricultural insurance coverage or cutting down on air pollution will boost agricultural green total factor output. These findings have long-term policy and management repercussions, particularly for those involved in agriculture policy and environmental management. [ABSTRACT FROM AUTHOR]

Environmental regulation is the basis for achieving green agricultural development, and urban-rural integration is the key to optimizing the allocation of agricultural elements and achieving sustainable agricultural development. This paper aims to investigate the spatial spillover effect of environmental regulation on China's agricultural green total factor productivity (AGTFP) and examine the mediating effect of the urban-rural income gap. Both the Super-SBM-DEA model and the Global Malmquist–Luenberger productivity index are used to account for the AGTFP of China's 30 provinces, and the spatial Durbin model and the mediating effect model are used to analyze the impact of environmental regulation. We found that firstly, during the sample period, China's AGTFP has increased with an average annual growth rate of 3.27%, which is mainly promoted by agricultural green technology progress (AGTC). Secondly, both the direct and spatial effects of environmental regulation on AGTFP show a significant "U"-shaped feature and have regional heterogeneity based on differences in economic development levels and factor endowments. Thirdly, there is an "inverted U"-shaped relationship between environmental regulation and the urban-rural income gap, and the urban-rural income gap negatively affects AGTFP. Based on the empirical results, we propose that the Chinese government should pay attention to green technology innovation, break the market segmentation, promote urban-rural integration, and then promote the AGTFP. [ABSTRACT FROM AUTHOR]

Improving agricultural green total factor productivity (AGTFP) is an important aspect of sustainable agricultural development. Agricultural services, a new way of farmland utilization in agricultural production, solved the problem of 'who and how to farm' in the context of labor off-farm migration. The literature has analyzed different factors that affect AGTFP, but there is a relative dearth of research into agricultural services and AGTFP. Therefore, based on the panel data of 31 provinces from 2011 to 2020, this study firstly measured carbon emissions in agricultural production and then took it as an unexpected output to measure the AGTFP by using the global Malmquist–Luenberger (GML) productivity index. Finally, the effect of agricultural services on AGTFP and its decomposition were empirically verified. The main findings are as follows: (1) Between 2011 and 2020, agricultural carbon emissions increased from 85.63 million tons to 90.99 million tons in the first five years and decreased gradually to 78.64 million tons in 2020; the government policy significantly affects carbon emissions reduction. (2) AGTFP has been increasing for the past decade, and the average growth rate of AGTFP reached 1.016, and agricultural services promoted AGTFP growth significantly, in which technological progress was the crucial driving factor. (3) Taking the Heihe–Tengchong line as the demarcation, the improving effect of agricultural services on AGTFP in the eastern region is better than the western region. [ABSTRACT FROM AUTHOR]

In order to promote the green transformation of agricultural development, we used a partial linear function coefficient panel model to measure the impact of environmental regulations in 30 provinces and cities in China on agricultural green technology innovation and agricultural green total factor productivity. The advantage of this model is that it can take into account the heterogeneity of regional economic development levels, that is, by introducing variables that are functions of regional economic development levels as coefficients of environmental regulation. The research results show that: when the level of regional economic development is low, environmental regulation has a limited impact on agricultural green technology innovation and agricultural green total factor productivity, but as the level of regional economic development gradually increases, environmental regulation has a more significant impact on the two. And environmental regulation has a greater impact on agricultural green total factor productivity than on agricultural green technology innovation. Based on the research results, policy recommendations are suggested.