Search

The study aimed to determine short-term crop rotations' economic and energy efficiency with varying sunflower saturation. The economic and energy efficiency of crop rotations saturated with sunflower under the conditions of the Left-Bank Forest-Steppe region of Ukraine was calculated using technological maps and prices as of 2024. The study employed the following methods: bibliometric analysis - a review of other researchers' findings on the economic and energy efficiency of sunflower cultivation; grouping - an assessment of the economic and energy effects of varying sunflower saturation in crop rotations; and monographic - the generalisation of the results. The optimum sunflower share in crop rotations was found to be 20% and 40%, at which the production cost remained consistently high at 1,218.0-1,240.8 USD/t. Increasing the sunflower share to 60% led to a decline in the production cost, not only for other crops but also for the sunflower itself. This negatively impacted overall price stability, reducing crop competitiveness and the economic efficiency of crop rotations. Winter rye exhibited the lowest production costs among all crops, regardless of the crop rotation, at 268.9-321.1 USD/ha. The production costs of soybeans and winter wheat remained stable irrespective of sunflower share, at 413.5 USD and 553.7 USD, respectively, indicating their adaptability. A 20% sunflower share in the crop rotation exhibited the highest energy intensity at 63,348 MJ/ha, while a 60% saturation slightly reduced this figure to 63,279 MJ/ha. However, the 60% sunflower saturation resulted in lower energy consumption compared to other crop rotation options, at 30,293 MJ. These findings indicate the high efficiency of crop rotations with a 60% sunflower share, as evidenced by the energy efficiency ratio of 2.65. As a result of implementing the optimised crop rotation system across 78.9 hectares, sunflower seed yields increased by 0.16 t/ha compared to traditional practices. This improvement led to an additional 1,046 UAH/ha in net profit and a 25.6% increase in production profitability. [ABSTRACT FROM AUTHOR]

The study aimed to determine short-term crop rotations’ economic and energy efficiency with varying sunflower saturation. The economic and energy efficiency of crop rotations saturated with sunflower under the conditions of the Left-Bank ForestSteppe region of Ukraine was calculated using technological maps and prices as of 2024. The study employed the following methods: bibliometric analysis – a review of other researchers’ findings on the economic and energy efficiency of sunflower cultivation; grouping – an assessment of the economic and energy effects of varying sunflower saturation in crop rotations; and monographic – the generalisation of the results. The optimum sunflower share in crop rotations was found to be 20% and 40%, at which the production cost remained consistently high at 1,218.0-1,240.8 USD/t. Increasing the sunflower share to 60% led to a decline in the production cost, not only for other crops but also for the sunflower itself. This negatively impacted overall price stability, reducing crop competitiveness and the economic efficiency of crop rotations. Winter rye exhibited the lowest production costs among all crops, regardless of the crop rotation, at 268.9- 321.1 USD/ha. The production costs of soybeans and winter wheat remained stable irrespective of sunflower share, at 413.5 USD and 553.7 USD, respectively, indicating their adaptability. A 20% sunflower share in the crop rotation exhibited the highest energy intensity at 63,348 MJ/ha, while a 60% saturation slightly reduced this figure to 63,279 MJ/ha. However, the 60% sunflower saturation resulted in lower energy consumption compared to other crop rotation options, at 30,293 MJ. These findings indicate the high efficiency of crop rotations with a 60% sunflower share, as evidenced by the energy efficiency ratio of 2.65. As a result of implementing the optimised crop rotation system across 78.9 hectares, sunflower seed yields increased by 0.16 t/ha compared to traditional practices. This improvement led to an additional 1,046 UAH/ha in net profit and a 25.6% increase in production profitability

Many of the world's less developed regions may not be able to improve the well-being of rural residents through agricultural revitalization because of their remoteness from agricultural markets. Using the county-level data set of China's underdeveloped old revolutionary base areas from 2010 to 2021, this paper takes the policy planning of rural e-commerce as event intervention to investigate the driving role of the digital product market on agricultural economic development. Empirical results show that rural e-commerce planning policy has significantly promoted the agricultural added value of the pilot counties, and the digital market is the key driving factor of the agricultural economic growth in these underdeveloped areas. Both food production and livestock output have increased significantly as a result of e-commerce policies. Considering the potential bias of the bidirectional fixed effect estimators of staggered differences-in-differences (DID), this study uses heterogeneous robust estimators to verify the growth effect of the agricultural economy. Specifically, digital agricultural markets have significantly promoted agricultural mechanization and significantly improved agricultural total factor productivity. Moreover, empirical evidence does not support transmission mechanisms for off-farm employment and agricultural entrepreneurship. The findings can help less developed countries and regions develop policies to expand the agricultural markets with digital dividends, thereby promoting the development of the agricultural economy. [ABSTRACT FROM AUTHOR]

Monitoring crop production has a direct effect on national and global economies and plays a significant role in food security. This study creates a possible autoregressive integrated moving average (ARIMA) model that can estimate the past (2010 to 2022) and future trends (2023 to 2035) for cultivated cropland and fertilizer consumption and their effects on rice and wheat production. The study results demonstrated past and future trends for different variables such as cultivated cropland, fertilizer consumption and rice, and wheat production over time. Based on the ARIMA model analysis, a 2.4% and 113% total reduction in cropland and fertilizer consumption over the next 13 years respectively was predicted. Over the next 13 years, the production of major crops, specifically rice and wheat, is expected to increase by 12.4% and 25.9%, respectively. However, the multiple linear regression model showed a significant change for dependent variables such as cropland and fertilizer consumption, with R2 values of 61% and 74%, respectively, for rice and wheat production. The predictive results from the ARIMA model analysis possibly showed an increasing trend for estimating crop yields, with a minor change in cultivated cropland and highly decreased fertilizer consumption. These results highlight that higher crop production can be achieved with less cropland and with minor fertilizer inputs.

The Regional Comprehensive Economic Partnership (RCEP) agreement is an important free trade agreement in the Asia Pacific region. The implementation of RCEP is greatly significant for ensuring the effective supply of agricultural products to member states. On the basis of the analysis of the agricultural product trade structure among China, Australia and New Zealand since 2000, we summarise in this article the potential consequences of tariff reduction for the agricultural products among the three countries under the RCEP framework. The Global Trade Analysis Project model has been used to analyse the effects of RCEP on the macroeconomic indicators, agricultural products trade and domestic agricultural output of the three countries. The research findings indicate that agricultural product trade among the three countries has grown rapidly since 2000. The results of the Global Trade Analysis Project simulations revealed that implementing RCEP will foster macroeconomic growth in the three countries. China's imports of beef and dairy products and wheat from Australia and New Zealand will substantially increase, and China's domestic production of this agricultural sector will decrease. Furthermore, India's potential participation in RCEP will further affect China's imports and exports of grain. These findings could guide the policymakers in the three countries in designing future agricultural production and trade strategies according to the different scenarios of international trade among the three countries and considering the potential of India joining.

Against the backdrop of the green transformation of the national economy, this paper takes Jiangsu Province as a case study to explore spatiotemporal characteristics of cultivated land utilization green transformation (CLUGT) and its impact on agricultural economic growth (AEG). In this study, a composite index method and a panel regression model are employed, and the findings of this study indicate that: (1) From 2001 to 2021, the CLUGT index exhibited a modest upward trend, registering an average annual growth rate of 7.12%. (2) The CLUGT displayed significant spatial heterogeneity in the study area. High and medium-high-level areas demonstrated significant clustering, primarily concentrated in the central and northern regions of Jiangsu, while low and medium-low-level areas were primarily located in the southern part of the province. (3) The CLUGT exerted a positive impact on AEG. Specifically, for each one-unit increase in the CLUGT index, the AEG index rose by 0.575. Further analysis indicated that for every one unit of increase in the functional and mode transformation dimensions of CLUGT, the AEG index increased by 0.391 and 0.368, respectively, whereas a one-unit increase in the spatial transformation dimension of CLUGT was associated with a 0.169 decrease in the AEG index. Based on these findings, the study advocates for policies that champion the functional and pattern transformation of CLUGT and prioritize the spatial governance of cultivated land to enhance the contribution of CLUGT to AEG. [ABSTRACT FROM AUTHOR]

Copyright of Sociedad y Economia is the property of Universidad del Valle 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.)

Introduction: Promoting the development of large-scale pig farming is a crucial measure implemented by the Chinese government to regulate the pig market. Methods: By utilizing panel data from 30 provinces in China spanning from 2003 to 2020 and employing the PVAR model, this study examines the relationships among price random fluctuations, profftability levels, and industrial scale. Results and discussion: The findings reveal that industrial scale can effectively mitigate price random fluctuations; however, it also leads to a decrease in relative hog prices. Moreover, there exists significant heterogeneity in the impact of scaling on price random fluctuations. Increasing the proportion of farmers engaged in pig farming with a scale ranging from 500 to 9,999 heads reduces random price fluctuations, while increasing the proportion of farmers involved in pig farming with a scale exceeding 10,000 heads has no effect on stabilizing such fluctuations. Additionally, threshold effects are observed for epidemics and environmental regulations. When environmental regulations are less stringent, industrial scale enhances relative prices and stabilizes random fluctuations; nevertheless, once certain thresholds are surpassed, industrial scale diminishes relative prices and eliminates its stabilizing effect on random fluctuations. Similarly, after an epidemic surpasses its threshold level, industry scale fails to stabilize random price fluctuations. These findings provide valuable insights for governments when formulating industrial policies aimed at mitigating agricultural market risks. [ABSTRACT FROM AUTHOR]

Effectively implementing innovations in agri-food supply chains (AFSCs) is contingent upon stakeholders' preferences. Using the analytic hierarchy process (AHP), the objective of this research was to ascertain the degree of willingness among farmers, consumers, and various stakeholders (including processing companies, restaurants, and retailers) in the tomato supply chain of Catalonia (Spain) to shorten the chain and promote local procurement. Based on a set of social, economic, and environmental criteria encompassing sustainability in AFSCs, the results showed that economic factors, particularly profitability and affordability, were the key driving factors in the decisions of stakeholders. However, the considerable importance placed on strategic attributes, including local production, environmental sustainability, and product quality, particularly among consumers, seemed to present a chance to advocate for sustainable alternatives, such as short food supply chains (SFSCs). The AHP methodology facilitates differentiation with respect to the criteria of the decision-making process and serves as a valuable instrument for evaluating the reception of innovations within the AFSC and categorizing the stakeholders who exhibit the greatest interest in them. In order to improve the sustainability of agri-food systems, our findings may be incorporated into strategic plans developed by policymakers. [ABSTRACT FROM AUTHOR]

Many of the world’s less developed regions may not be able to improve the well-being of rural residents through agricultural revitalization because of their remoteness from agricultural markets. Using the county-level data set of China’s underdeveloped old revolutionary base areas from 2010 to 2021, this paper takes the policy planning of rural e-commerce as event intervention to investigate the driving role of the digital product market on agricultural economic development. Empirical results show that rural e-commerce planning policy has significantly promoted the agricultural added value of the pilot counties, and the digital market is the key driving factor of the agricultural economic growth in these underdeveloped areas. Both food production and livestock output have increased significantly as a result of e-commerce policies. Considering the potential bias of the bidirectional fixed effect estimators of staggered differences-in-differences (DID), this study uses heterogeneous robust estimators to verify the growth effect of the agricultural economy. Specifically, digital agricultural markets have significantly promoted agricultural mechanization and significantly improved agricultural total factor productivity. Moreover, empirical evidence does not support transmission mechanisms for off-farm employment and agricultural entrepreneurship. The findings can help less developed countries and regions develop policies to expand the agricultural markets with digital dividends, thereby promoting the development of the agricultural economy.

In order to better promote economic development, my country has successively issued many preferential policies, which have created more and better opportunities for economic development and the improvement of comprehensive national strength. My country’s agricultural development has more development momentum and long-term planning goals. This paper firstly sorts out the practical and theoretical significance of implementing the rural revitalisation strategy. Based on doing a good job in agricultural economic management, when conducting cointegration analysis, the stationarity of the time series is tested, and an error correction model (ECM) is introduced as a supplement. It lays foundation for the analysis of optimisation measures; secondly, the ADF test is carried out for the constructed ECM, and the entropy method and the analytic hierarchy process are used to calculate various indicators. Finally, according to the numerical results obtained, the agricultural economy under the rural revitalisation strategy is completed. The analysis of development and optimisation measures can fundamentally solve the limitations of the concept of rural development, break through the shackles of traditional development models, explore a path more suitable for the development of new rural areas and new agricultural economy and fundamentally improve the quality of production and life of farmers.

The adoption of agricultural technologies in developing economy countries has the potential to reduce poverty through sustainable intensification. Mechanized farming can also improve perceptions of farming and mitigate rural out-migration. However, many traditional farmers do not have access to machinery and/or machinery is cost prohibitive. The objective of this paper is to quantify how the use of machinery affects costs, revenue, net-profits, and returns on investment for a case study of farmers in Sudan, Africa. A treatment control study (N = 36) was performed across the 2019 (baseline), 2020, and 2021 farming seasons, where the treatment group was provided tractors. ANOVAs and t-tests were used to compare financial values between these groups across the farming seasons, to quantify economic differences associated with farming machinery. We show that all farmers had similar net-profits when farming without machinery, while mechanized farming yielded significantly higher net-profits (USD 16.61/acre more in 2020, USD 27.10/acre more in 2021). Our study also finds that the volatility of the black-market exchange rate and labor shortages have a significant impact on farming net-profits. These results provide a quantified difference between farming with and without machinery, which can provide a financial basis for purchasing and borrowing models, machinery design requirements, and educational value to farmers.

This paper firstly constructs the matrix of eigenvalues of agricultural economy and ecological environment based on the original data, uses the entropy value method to judge the degree of dispersion of the indexes, determines the weights of the comprehensive evaluation index system of agricultural economy and ecological environment, and calculates the comprehensive scores of the agricultural economy and ecological environment system based on the weights of the indexes. Then, the synchronization development index model was used to express the coupled and coordinated development relationship between agroecology and agroeconomy. Finally, the regression analysis model was used to analyze the factors that affect the coupled and coordinated development of agroecology and agroeconomy. The level of agroecology in County A grew from 0.1 to 0.85, and the level of agroeconomy from 0.267 to 0.7. The value of agroeconomy and ecology coupling degree increased from 0.434 in 2010 to 0.683 in 2020, and it was gradually transformed from a dysfunction to a barely coupled one. This study deeply analyzes the influencing factors affecting the coupling and coordinated development of the agricultural economy and ecology, which is of great significance for promoting the high-quality development of the agricultural economy and maintaining ecological security.

This paper builds a mechanism for the integration of the digital economy and agricultural economy and analyzes the scientific path of agricultural economic development under the mode of “Internet+”. Secondly, on the basis of Internet technology, for the multi-objective optimization problem of agricultural circular economy, the multi-objective optimization problem is solved by selecting decision variables of agricultural circular economy and determining the objective function of agricultural circular economy. Then, from the actual situation of the regional agricultural economy, we determine the constraints, decision variable parameters, and the adaptability function so as to construct the structural optimization model of the agricultural circular economy and carry out an example analysis of the high-quality development of the agricultural economy. The results show that on the model optimization analysis, the optimized planting area of corn is 15,956 hectares, and the optimized numbers of pigs, cattle and poultry are 302, 144, 25, 543 and 579, 1332, respectively. On the model application prediction analysis, it is recommended to increase the support for agriculture to 102.5% (2022=100%) while increasing the support for forestry to 105.1% (2022=100%). This study provides strong support and guidance for the optimization of the agricultural and industrial structure and provides a more scientific decision-making basis for the high-quality development of the agricultural economy.

The COVID-19 pandemic has posed a significant impact on agriculture. Due to its importance in world trade and human life, the effects of the pandemic on the cotton economy were evaluated by using the data of important organizations such as the U.S. Department of Agriculture, the World Trade Organization, and International Cotton Advisory Committee in this study. With the Chow test, which measures of structural breaks, the effects of COVID-19 on cotton production and trade were examined. According to the Chow test results, the pandemic had no significant effect on cotton production, exports and imports in the People’s Republic of China and Türkiye, while being highly influential on cotton production and exports in the U.S. and Brazil. Distinctively, in Pakistan, it had a significant impact on cotton production and import. It was observed that although the demand, trade and prices for cotton were descended, the cotton prices started to recover with the increase in demand in the third quarter of 2020. In June 2022, the highest peak in cotton prices was observed. As a conclusion, it is shown that cotton production and trade during the pandemic were affected in all countries except People’s Republic of China and Türkiye. However, the marks of the effects of factors such as decreasing stocks, uncertainties in national economies, high inflation and increase in production costs on the cotton economy will be better understood in the coming years.

This paper studied the impact of high-speed railway linesonagricultural outputin the regions along their routes. It also investigated the heterogeneity of this impactbased on the terrain characteristics. The results of empirical testsusing county-level data show that ahigh-speed railway line can bring higher agricultural "dividends" to counties along the line. Notably, low altitude areas and regionswith gentle terrain exhibit a more pronounced promotional effect on local agricultural output. High-speed railways mainly promote agricultural output by promoting the mechanization of agriculture in counties along the route, thus reinvigorating the agricultural population and the development of specialty agriculture. Ourfindingsprovide quasi-microscopic evidence of the potential benefits of transportation infrastructure construction to break down geographical barriers and facilitate production factor flow, and providesa theoretical basis for the economic spillover effects of high-speed railway construction. Plain Language Summary: This paper studied the impact of high-speed railway lines on agricultural output in the regions along their routes. It also investigated the heterogeneity of this impact based on the terrain characteristics. The results of empirical tests using county-level data show that a high-speed railway line can bring higher agricultural "dividends" to counties along the line. Notably, low altitude areas and regions with gentle terrain exhibit a more pronounced promotional effect on local agricultural output. High-speed railways mainly promote agricultural output by promoting the mechanization of agriculture in counties along the route, thus reinvigorating the agricultural population and the development of specialty agriculture. Our findings provide quasi-microscopic evidence of the potential benefits of transportation infrastructure construction to break down geographical barriers and facilitate production factor flow, and provides a theoretical basis for the economic spillover effects of high-speed railway construction. [ABSTRACT FROM AUTHOR]

Water is a crucial resource for agricultural development in the Yellow River Basin. However, the effects of water shortages on the region's agricultural development are becoming increasingly evident, creating a need to examine the relationship between agricultural water use (AWU) and the agricultural economy. This study uses panel vector autoregression to analyze the relationship between AWU and the agricultural economy in the Inner Mongolia section of the Yellow River Basin from 1998 to 2018. The results indicate the following: (1) AWU in the Inner Mongolia section of the Yellow River Basin significantly declined during the study period, showing clear differences in the AWU's effectiveness among regions; (2) agriculture in the region stabilized after significant growth, and the share of primary-sector industries in the national economy also stabilized after significant decline; (3) in the long run, AWU and the agricultural economy become cointegrated with the AWU Granger-causing agricultural economy. By deepening our understanding of agricultural water demand in the Yellow River Basin, these findings provide theoretical justification for establishing water-conserving irrigation systems and making sustainable use of water resources. [ABSTRACT FROM AUTHOR]

Water resource (WR) is a complex and interrelated system, which integrates human development and environment. Water price research is gradually carried out under the background of resource economy research, which is an important part of natural resource price research. The main goal of the water price mechanism is to solve the problem of water resource allocation under the pressure of water supply and demand and realize the sustainable development of agricultural economy (AE). Faced with the dual pressure of rising water demand and declining water supply, many regions have begun to reform the water price mechanism and use the CGE model for scientific and reasonable resource allocation. To this end, this paper analyzed the drawbacks and the factors of WR pricing mechanism and used the CGE (Computable General Equilibrium for short here) model to study the upper limit of the pricing of resources, and then analyzed the problems of WR CGE model in agriculture, and finally optimized the problems. According to the experimental analysis, the pricing mechanism of WR under the CGE model can reasonably allocate resources, reduce water demand and promote the development of AE.

The article deals with the issue of supporting the technological modernization of agriculture by investing in infrastructure surrounding the farms with the use of a financial instrument in the form of the Rural Development Program (RDP) based on the Lubuskie Voivodeship. The article describes, among other things, the importance of infrastructure and support for its development in rural areas in the process of functioning and modernization of the agricultural sector. For the purposes of the article, the data obtained from the Department of Rural Development Programs of the Lubuskie Marshal’s Office on expenditure and effects of RDP use in 2007-2020, in infrastructure investments in rural areas of the Lubuskie Voivodeship was analysed. In the article, the authors attempted to present the instrument in the form of the Rural Development Program as a tool for indirect impact on the process of modernization and transformation of agriculture in the Lubuskie Voivodeship, primarily by changing the infrastructural conditions for the functioning and development of agricultural production in rural areas.

The adoption of agricultural technologies in developing economy countries has the potential to reduce poverty through sustainable intensification. Mechanized farming can also improve perceptions of farming and mitigate rural out-migration. However, many traditional farmers do not have access to machinery and/or machinery is cost prohibitive. The objective of this paper is to quantify how the use of machinery affects costs, revenue, net-profits, and returns on investment for a case study of farmers in Sudan, Africa. A treatment control study (N = 36) was performed across the 2019 (baseline), 2020, and 2021 farming seasons, where the treatment group was provided tractors. ANOVAs and t-tests were used to compare financial values between these groups across the farming seasons, to quantify economic differences associated with farming machinery. We show that all farmers had similar net-profits when farming without machinery, while mechanized farming yielded significantly higher net-profits (USD 16.61/acre more in 2020, USD 27.10/acre more in 2021). Our study also finds that the volatility of the black-market exchange rate and labor shortages have a significant impact on farming net-profits. These results provide a quantified difference between farming with and without machinery, which can provide a financial basis for purchasing and borrowing models, machinery design requirements, and educational value to farmers. [ABSTRACT FROM AUTHOR]

The issue of ASEAN food security has led to chemical pesticides-driven policy directives as economic convention for protecting crop yields while concomitantly conferring an implicit ecological and health risk-based ‘trade-off’ that works to undermine SDG target indicators 2.4, 3.9, and 6.3. In this study the Pesticides Consumer-Environmental Indexing System (PCE-ISys), a conceptual heuristic ‘systems-based’ framework is proposed to explore needed policy-informing option(s) beyond the largely cost-externalising rubric of chemical crop protection management, by indexing (the potential for and magnitude of potential) pesticides exposure (EIR-IS) using a semi-quantitative tiered percentile-based, continuous-to-discrete variable transform that captures the stochastic distribution arising from the ‘generalisable’ interconnectivity of political governance, agricultural economy, and natural environment. 1990-2016 indexing results revealed ‘high’ EIR-IS levels for 52% and 63% of Asia-Pacific and ASEAN nations, respectively, with 28% of Asia-Pacific countries scoring at ‘highest’ indexing levels demonstrating pervasive and expansive pesticides-use and/or tonnage contrary to IPM sustainable agricultural practices.

Global warming by 2 °C or above will frequently see weather beyond the critical tolerance threshold for agricultural extreme high temperatures. If so, people will have to more accurately evaluate the opportunities and risks posed by future climate change while adjusting the structure of agricultural production. However, accurate assessment results of the impacts of climate change on crop yield are absent in the current studies on the impact of climate change on the agricultural economy. To address this gap, this paper sets forth a comprehensive evaluation method using a crop model coupled with a computable general equilibrium model. According to research findings, future climate change may continue with the trend of the continued decline of grain planting areas and the continued growth of cash crop planting areas in ecologically vulnerable regions. This will make grain security more difficult. On one hand, perennial crop planting broadens the eco-space for future economic and social development in ecologically vulnerable regions. Therefore, attention should be paid to grain security. The cash crop planting area should not be excessively expanded. On the other hand, it is advised to plant perennial crops in those areas which are unsuitable for planting cash crops. [ABSTRACT FROM AUTHOR]

The article substantiates the catastrophic consequences of the Russian military invasion of Ukraine, which led to the industrial crisis in the world. The need to restore the agricultural sector of the economy as soon as possible, in particular the lost or destroyed supply chains of agricultural products in the postwar period, is argued, primarily through the introduction of digital opportunities in the business processes of agricultural enterprises. The work of farmers on the ground, in fact, under the flight of missiles and fighters overhead, with long delays due to the preliminary inspection of soils by sappers, could not but affect the export of agricultural products. Although the situation with food exports before the war with Russia looked quite optimistic: in the previous year a record wheat harvest was harvested, corn harvest increased significantly, positive forecasts for food crops in the coming periods were expected. At the same time, the authors state that the introduction of quarantine measures in connection with the global pandemic has not led to a significant negative impact on the state of the agricultural sector in Ukraine. This is due to the specifics of the work of agricultural enterprises, which is carried out mainly on agricultural land, which allowed the agribusiness to reduce additional costs for compliance with the new mandatory sanitary requirements. At the same time, the global pandemic has accelerated the process of digitalization in the agricultural sector through the introduction and daily use of domestic electronic document management by agricultural enterprises, holding meetings and meetings through online platforms for video conferencing, corporate portals and others. In addition, agricultural holdings were able to quickly adapt to new working conditions through the active introduction of business processes before the spread of the global pandemic of electronic markings in agricultural production, cameras, monitors, sensors, GPS trackers, unmanned aerial vehicles. The study substantiates the view that with strong support for the development of digital agribusiness capabilities, it will be possible to further improve the process of sowing on agricultural land that was not destroyed during the war and in regions where the logistics of seed supply has not been paralyzed. As a result, there is reason to talk about the development of digital farming as a way of farming using the technologies needed to integrate financial and field records for further integrated management of the farm. However, it will significantly depend on the readiness of farmers to comprehensive digitalization of economic activity.

This work aims to verify the effects on the production and commercialization of agricultural products from the creation of family farming fairs in rural commu-nities in the city of Cedro-CE in the year 2021. Methodologically, the results were obtained through data primary data with the application of a semi-structured questionnaire to the exhibitors of the family agriculture fairs, and secondary data. Data analysis was based on the methodological contributions present in the diag-nosis of agrarian systems (DSA) and participatory rural diagnosis (DRP). Accor-ding to the results, the socioeconomic profile shows that most exhibitors are over 50 years old. The conclusion of the research indicates the need for new projects that contribute and strengthen the economic and social aspects of the exhibitors of fairs in rural communities in the city of Cedro.

How to develop a low-carbon and environmentally friendly agricultural economy under the conditions of financial diversity is a realistic problem that appears in the context of the current era. In this manuscript, taking cities in western, central and eastern China as examples, the entropy method was used to systematically study the impact of financial diversity on the development of low-carbon and environmentally friendly agricultural economy. Through this study, a low-carbon environmental protection agricultural development factor index system based on financial diversification was constructed, and the entropy method was used to determine the weight of agricultural financial indicators. The results showed that the indicators of agricultural economic and financial ecological diversification ranged from 2.315 to 4.872, with an average value of 3.214. The financial diversity of eastern urban areas was higher than that of central and western cities. The development level of China's low-carbon environmental protection agricultural finance varies greatly from region to region, and there is a large room for balanced development. The regression analysis of low-carbon environmental protection agricultural economic development factors showed that the financial ecological diversity in the eastern region has a significant inhibitory effect on the development of low-carbon finance; the financial ecological diversity in the central region is conducive to the development of low-carbon agricultural finance; the financial ecological diversity in the western region is negatively related to the development of lowcarbon agricultural finance. Financial diversity has a good positive correlation with urban carbon emissions. Although complex financial diversity optimizes the structure of the agricultural economy, it also emits excessive agricultural carbon emissions, which is detrimental to the sustainable development of cities. The output value of the coal industry also has a good positive correlation with urban carbon emissions. The reduction of carbon emissions should speed up the transformation of coal-based energy companies and the development of new energy sources. Environmental protection investment has a weak positive correlation with urban carbon emissions, and environmental protection investment is far from being able to match the increase in carbon emissions. This research can be used for the construction and optimization of agricultural economic indicators. [ABSTRACT FROM AUTHOR]

The creation and deployment of digital technologies throughout the agro-food system contribute to achieving Sustainable Development Goal nine. However, various digitalization studies offer limited insight into the policy issues and solutions around emerging technologies and big data systems in agriculture. There is a need for an additional understanding of how agricultural policymaking should respond to the usage of digital technologies in the agri-food sector. Furthermore, evidence is limited on how existing agricultural government programs such as land reform can be linked with digitalization policy. This systematic review of literature sought to determine the transformation that is needed in the political and economic environment for the digital revolution to take place within South African land reform agriculture. A thematic analysis of data sampled from ProQuest Central, Scopus, Dimensions, and Google Scholar reveals five areas of intervention from agricultural policymaking. The digital revolution in agriculture can be brought about by transforming digital infrastructure, data interoperability and governance, digital markets, the compatibility of government incentives with the private sector, and the digital cultural landscape. This essay contributes to agricultural policy and decision-making dialogues that pay attention to digital technologies and land reform programs in South Africa. [ABSTRACT FROM AUTHOR]

Copyright of ESPOCH Congresses: The Ecuadorian Journal of S.T.E.A.M. is the property of Knowledge E DMCC 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 relevance of the study is conditioned by the need to revise the methods of farming with a focus on the use of innovative technologies to improve the quality and quantity of output. The purpose of the study is to analyse the problems and prospects of agricultural production in the Republic of Kazakhstan to create a comprehensive innovative model for the further development of the agro-industrial sector. The study of the prospects for the modernised improvement of the agro-industrial complex of the Republic of Kazakhstan was carried out in three stages based on the functional and logical, systemic, and structural approaches using methods of analysis, synthesis, comparison, systematisation, SWOT analysis, and statistical data processing. The analysis of research papers of Kazakhstani and foreign researchers was carried out to separate the problems and opportunities of agriculture of the Republic of Kazakhstan. It is determined that the agricultural complex of the state is represented by three forms of management, including farming, cooperatives, and the main business. The features of innovative activity and types of innovations in agriculture are considered. The possibilities and strengths of agriculture of the Republic of Kazakhstan are substantiated in accordance with the statistical data of gross output for 2012-2019. The organisational model of further development of the agro-industrial complex of the state in the context of the application of innovative technologies and the establishment of relationships with state information systems is proposed. The practical value of the study consists in providing a general analysis of both the problems and prospects of agriculture in the Republic of Kazakhstan, as a result of which a comprehensive model of innovative development was compiled

On the basis of the panel data of 31 provinces in China from 2011 to 2020, this paper first constructs an index system through the Pressure-State-Response (PSR) model and conducts a comprehensive evaluation of China's agricultural environment according to the entropy weight TOPSIS model. Second, a coupling coordination degree model is established to calculate the degree of coupling coordination between the agricultural economy and the environment in each province. Finally, a spatial Durbin model is established to analyze the influencing factors of China's agricultural economy. Results show that: ① the overall environment in the eastern region has little change, and the overall level is relatively backward; the agricultural environment in the central region is uneven; the agricultural environment in the western region is quite different from north to south. ② The regions with a high level of coupling coordination are mainly concentrated in the central and southern regions, and the performance is relatively intensive. The agricultural economy and the environment in the western region are extremely uncoordinated, and as is the overall coupling coordination between the agricultural economy and the environment in the eastern region in general. Further improvement is also needed. ③ Fixed asset investment, total power of agricultural machinery, rural electricity consumption, rural population, and rural per capita disposable income all have important influences on China's agricultural economy. ④ The rural population size has a positive and the largest effect on the agricultural economy, whereas rural per capita disposable income has a negative effect on the agricultural economy. Moreover, improving farmers' enthusiasm for farming is one of the key issues to be solved urgently. [ABSTRACT FROM AUTHOR]

Copyright of Zeszyty Wiejskie is the property of Wydawnictwo Uniwersytetu Lodzkiego 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 creation and deployment of digital technologies throughout the agro-food system contribute to achieving Sustainable Development Goal nine. However, various digitalization studies offer limited insight into the policy issues and solutions around emerging technologies and big data systems in agriculture. There is a need for an additional understanding of how agricultural policymaking should respond to the usage of digital technologies in the agri-food sector. Furthermore, evidence is limited on how existing agricultural government programs such as land reform can be linked with digitalization policy. This systematic review of literature sought to determine the transformation that is needed in the political and economic environment for the digital revolution to take place within South African land reform agriculture. A thematic analysis of data sampled from ProQuest Central, Scopus, Dimensions, and Google Scholar reveals five areas of intervention from agricultural policymaking. The digital revolution in agriculture can be brought about by transforming digital infrastructure, data interoperability and governance, digital markets, the compatibility of government incentives with the private sector, and the digital cultural landscape. This essay contributes to agricultural policy and decision-making dialogues that pay attention to digital technologies and land reform programs in South Africa.

Copyright of Revista de Economia e Sociologia Rural is the property of Sociedade Brasileira de Economia e Sociologia Rural 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.)

• Anti-corruption and credit supply can effectively enhance agricultural economic development. • Anti-corruption measures and credit supply can jointly promote the development of the agricultural economy. • This effect is more pronounced in sample groups with a lower degree of marketization. This study analyzes regional panel data from China (2013–2019) to explore how the government's anti-corruption efforts and credit supply affect agricultural economic development. The empirical results show that anti-corruption and credit supply can effectively enhance agricultural economic development, and there is a complementary relationship between anti-corruption and credit supply, meaning that anti-corruption measures and credit supply can jointly promote the development of the agricultural economy. Further analysis indicates that the complementary and synergistic effect of the two on agricultural economic development is more pronounced in sample groups with a lower degree of marketization. [ABSTRACT FROM AUTHOR]

Geographical indications and designation of origins is an industrial property right describing a product originated from any region or attributable to any region due to its quality, reputation or other characteristics. Particularly, the geographical indications (GI) provide information about the raw material or final products’ geographical roots to consumers and characterize the degree of its quality. Two types of GI were defined: Protected Designations of Origin (PDO) and Protected Geographical Indication (PGI). On the other hand, the products that cannot be registered as a designation of origin or geographical indication could be registered as Traditional Speciality Guaranteed (TSG) products specialty guaranteed if it can be proven that the product is on the traditional market for at least 30 years. The main goal of this research is to examine Turkey’s current status about labelled geographic agricultural material with a comparative statistic overview.

Since 1960, agricultural production has developed through the interior of Brazil. Until 1997 the results showed that the production and export of grains were concentrated by the Arc Sud region. In 2017, Arc Nord already represented 21 percent of the exported volume, or 91 million tonnes, and 59 percent of the production, which reached 212 million tonnes. Mato Grosso has become the largest producer of grains in the country, which has influenced the spatial dynamics of cattle, chickens and pigs productions, which have moved to the North Arc. Brazil's logistics infrastructure is vast; however, concentrated on highways (61 percent). In this regard, public policy in terms of logistics infrastructure consists of emphasizing public and private investment in Arc Nord, intensifying the program of concessions on private initiative, improving the storage system and its integration with types of transport modes to promote greater integration of agricultural production into consumer markets.

Abstract Diversified crop rotation is an option for expanding producer incomes, and its adoption has presented a series of agronomic advantages compared to less diversified crop rotation systems. In this context, the objective of this study was to verify if higher-diversified crop rotation systems perform economically better than low-diversified ones. To this end, we conducted an experiment in no-tillage crop areas in Londrina, in south of Brazil, for the years 2014/15 to 2016/17. The experiment design was randomized blocks, with six treatments, consisting of crop rotation systems with different levels of diversification, and four replications. We observed that higher-diversified crop rotation systems yield higher revenues and profits. Only these systems, specifically the ones that included canola-corn, crambe-corn, and safflower-soybeans, or wheat-corn+brachiaria, canola-corn, and edible beans-soybeans were economically feasible. Despite higher cost, diversified systems with a greater number of commercial crops in winter presented higher profits. However, diversified systems with a high proportion of cover crops in winter are economically infeasible because their net return is negative.

On the basis of the panel data of 31 provinces in China from 2011 to 2020, this paper first constructs an index system through the Pressure-State-Response (PSR) model and conducts a comprehensive evaluation of China’s agricultural environment according to the entropy weight TOPSIS model. Second, a coupling coordination degree model is established to calculate the degree of coupling coordination between the agricultural economy and the environment in each province. Finally, a spatial Durbin model is established to analyze the influencing factors of China’s agricultural economy. Results show that: ① the overall environment in the eastern region has little change, and the overall level is relatively backward; the agricultural environment in the central region is uneven; the agricultural environment in the western region is quite different from north to south. ② The regions with a high level of coupling coordination are mainly concentrated in the central and southern regions, and the performance is relatively intensive. The agricultural economy and the environment in the western region are extremely uncoordinated, and as is the overall coupling coordination between the agricultural economy and the environment in the eastern region in general. Further improvement is also needed. ③ Fixed asset investment, total power of agricultural machinery, rural electricity consumption, rural population, and rural per capita disposable income all have important influences on China’s agricultural economy. ④ The rural population size has a positive and the largest effect on the agricultural economy, whereas rural per capita disposable income has a negative effect on the agricultural economy. Moreover, improving farmers’ enthusiasm for farming is one of the key issues to be solved urgently.

Objective: To evaluate the socioecological resilience of six family farms in the context of a case study in the Sancti Spíritus region, Cuba. Materials and Methods: For the study of resilience, the methodology for the evaluation of socioecological resilience, which evaluates a set of technological and efficiency criteria, and the perspective of community economies, which considers the needs, interdependence, communication and collective action as essential components, were applied in a combined way. Results: The results highlighted the importance of mixed methods in the study of socioecological resilience in family agriculture and allowed the involved farmer families to have a contextualized evaluation of their systems. The application of these methods favors decision-making by such families, in order to improve the resilience of their farms, as well as for local decision-makers, who have the possibility of elaborating agrarian policies, to correct the critical points that put the stability and permanence of family agriculture in the region at risk. Conclusions: When combining the application of the methodology for the evaluation of socioecological resilience and the qualitative analysis of community economies, the evaluation allowed to identify and appraise multiple dimensions that help to conceive strategies to achieve resilience of the studied systems, as well as to make decisions at farm level and in local public policies that support the contextualization and appropriation of adequate technologies for agroecological transition on inclusive and participatory bases. [ABSTRACT FROM AUTHOR]

The Akimel O’odham, or “River People” (Pima), have lived in the middle Gila River Valley for centuries, irrigating and cultivating the same land as their Huhugam ancestors did for millennia. This history of agriculture is part of the social, economic, and cultural fabric of the Pima, who benefited from a sufficient and fertile land, a steady and reliable supply of water, and favorable physiographic conditions to produce an abundance of food and fiber crops. These conditions continued until upstream diversions from the Gila River by settlers in the latter 1860s.The Pima economy depended on the waters of the Gila River and its tributaries. Following the himdag, or the cultural ways, of the Huhugam, the Pima exercised sovereignty over their land, enabling them to remain economically and politically independent for generations. They were, as sixty-five-year-old Pima elder George Pablo noted in 1914, “a self-supporting people” who raised crops “in abundance.” This independence changed to dependence in the 1860s, when federal land policies encouraged and fueled settlement in the Gila River Valley. Emigrants then diverted the limited water supplies from the river upstream of the Pima villages, leaving the Indians, in the words of one Pima elder, “high and dry.”The Huhugam built the earliest canals along the Gila River. Many of the historic canals constructed by the Pima followed these prehistoric alignments and irrigated lands in the historic breadbasket of the Pima villages. The Pima cultivated these lands since before the arrival of Spanish conquistadors in the sixteenth century, with the period between the late 1700s and the 1860s representing the pinnacle of Pima agriculture before upstream water deprivation destroyed their agricultural economy (see fig. 1).

Given the importance of women's participation and taking advantage of their ability, it is essential that a systematic and strategic plan should be organized in this area. Undoubtedly, planning for the development of the specific associations of rural women can be an effective step to increase their participation in various scenes, and it can also help improve the status and rights of women. The main objective of this study was to explore factors affecting the development and strengthening of rural women’s enterprises. A mixed method was used in this study. Data gathering tools were both semi-structured interviews and questionnaires. Target samples were both 25 rural development experts and 92 rural women in the Hamadan County. The results showed that the following items are essential for the development and strengthening rural women’s enterprises: applying legal and financialsupport; family support; management support, and education and cultural support. In addition, the following strategies are required: culture building; women's empowerment programs, continued implementation of consulting and training programs, and encouraging the introduction of the women's enterprises. The results of factor analysis showed that economic, sociocultural, and education and extension factors can determine approximately 60 percent of factors affecting the development and strengthening of rural women’s enterprises.