Novel Studies in Agricultural Economics and Sustainable Farm Management

Amid global economic transformation, a persistent productivity gap exists between developed and developing nations in agriculture sector, shaped by technological advancements and shifting resource allocation patterns. Agricultural socialized services (ASS), defined as organized systems providing technical support, mechanization assistance, information services, market linkages, and resource optimization to farmers, have emerged as critical mechanisms for agricultural development. In developing economies, these services catalyze gains in agricultural labor productivity through the integration of advanced technologies and the mechanization of farming practices. Using panel data from 30 Chinese provinces during 2011 to 2022, this study investigates the relationship between ASS and ALP, focusing on regional heterogeneity, threshold effects, and spatial spillovers. The combination of spatial econometric methods and threshold analysis was selected for its unique capacity to capture both the geographic interdependencies and nonlinear relationships that characterize agricultural development processes. These thresholds at 5.254 and 8.478 represent critical points where the impact of ASS on ALP significantly changes in magnitude, revealing a nonlinear relationship that evolves across different stages of agricultural development. The study highlights notable regional disparities in the impact of ASS. Specifically, ASS is more effective on ALP in eastern, central and key food-producing regions, while its impact is relatively weak in western and non-food-producing regions. Spatial spillover analysis indicates that advancements in ASS create positive externalities, extending beyond their immediate implementation zones and facilitating inter-provincial agricultural cooperation and development. These findings provide crucial guidance for policymakers and agricultural service providers to optimize resource allocation and service delivery strategies. By identifying critical development thresholds and regional variations, this research offers evidence-based support for government officials designing targeted agricultural policies and enterprises developing region-specific service models to foster sustainable agricultural growth across diverse regional landscapes. Full article

The support of external organizational forces is essential for the promotion of agricultural ecological efficiency to improve agricultural green development and boost China’s prosperity in agriculture. To identify the different impact of different organizational support on improving farmers’ agricultural ecological efficiency and investigate the mechanism by which organizational support affects agricultural ecological efficiency, this study explores the internal logic of farmers’ promotion of agricultural ecological efficiency and empirically examines the impact of organizational support and knowledge distance on agricultural ecological efficiency using 1011 household-level survey data from Henan province in China. The study shows the following: (1) Enhancing organizational support can significantly promote agricultural ecological efficiency, and the effect of organizational support in descending order is agricultural material distributors, peasant cooperatives, village committees, agricultural technology service centers, and agricultural associations. (2) Knowledge distance partially mediates the influence of organizational support on agricultural ecological efficiency. The mediating mechanism of spatial distance is the most significant, followed by content distance and cognitive distance. (3) Market-oriented organizations play a stronger role in incremental support, and government organizations play a stronger role in radical support. This study adds considerable value to the empirical literature and provides precise guidance for improving agricultural ecological efficiency. Full article

Nowadays, women’s contribution to society through their social and human involvement at the household level in terms of education, care, and nutrition, as well as their added value to economic functioning, is increasingly recognized. However, most of the related research highlights the relative contributions of women and men. This paper proposes to analyze the link between women’s contribution to social, economic, and financial activities and the rural livelihood of the whole household farm. Based on a household survey that included a respondent section for women from over 285 families in the least rurally developed regions of Morocco, descriptive statistics and systemic analysis successively based on multiple factorial and clustering analyses were used to analyze the links between household adaptative capacity and women’s material and immaterial contributions. The results revealed that women play a crucial role in intergenerational knowledge transfer, which constitutes a critical factor in household capacities and reproduction, especially in the least endowed households. However, the women’s farm or off-farm activities did not guarantee their autonomy. So, the contribution of women to household farm livelihood through their know-how opens alternative pathways to reconsider their contribution to the overall goal of livelihood improvement. Full article

Rural economic development faces significant challenges in the context of rapid urbanization and agricultural transformation, particularly in developing countries like China. Agricultural socialization services (ASSs) play a crucial role in promoting rural economic sustainability by enhancing household income and fostering regional development. This study investigates the impact of ASSs on rural economic sustainability in China from both temporal and spatial perspectives, employing the entropy weight method, double fixed effects model, and Spatial Durbin Model. Analyzing panel data from 30 Chinese provinces from 2011 to 2021 reveals significant positive effects of ASSs on rural income, along with spatial spillovers to neighboring regions. The results highlight regional heterogeneity in the impact of ASSs, with the eastern region benefiting from local spillovers, while the central and western regions gain from intensification and scale effects. These findings suggest that policymakers should adopt region-specific ASSs strategies, such as facilitating technology transfer in the eastern regions while leveraging intensification and scale advantages in the central and western regions, to optimize the effectiveness of agricultural support measures. Moreover, the relationship between ASSs and rural income exhibits a non-linear trend across various urbanization stages, implying that ASS policies should be tailored to the specific challenges and opportunities associated with different levels of urbanization to maximize their impact on rural economic sustainability. These findings underscore the importance of optimizing ASSs, tailoring policies to local conditions, and harnessing the role of ASSs in the urbanization process to promote inclusive rural development and foster sustainable rural economic growth. Full article

This study develops a toolkit of sustainability indicators to analyze the economic, environmental, and social performance of various pasture-based production systems rearing Karagkouniko sheep (both specialized and mixed), and compares it with the intensive Lacaune production system in the same region. The analysis showed that despite the lower milk productivity, the group of specialized livestock Karagkouniko farms was more profitable compared to the Lacaune (35% higher net profit) production system, mainly due to savings in purchased feedstuff (64% lower expenses). This implies that grazing—if properly managed—can indeed enhance the profitability of farms. The group of mixed Karagkouniko farms—cultivating crops for both feedstuff and markets—was the least profitable group (−144.76 per ewe) as well as the least efficient in terms of use of energy (EUR 4.66 of output per EUR 1 of energy cost) and agrochemical inputs (537.2 kg of fertilizers and 3.3 liters of pesticides per ha). This suggests that strong organizational skills are required to effectively manage both crop and livestock production. Trade-offs were also observed between the sustainability dimensions. To address these trade-offs and ensure a transition to more sustainable agriculture, a comprehensive framework should be developed, integrating a mix of socioeconomic and agro-environmental schemes. Full article

The Jianghan Plain (JHP) is a key agricultural area in China where efficient agricultural water use (AWUE) is vital for sustainable water management, food security, environmental sustainability, and economic growth. This study introduces a novel AWUE prediction model for the JHP, combining a BP neural network with the Sparrow Search Algorithm (SSA) and an improved Tent Mixing Algorithm (Tent-SSA-BPNN). This hybrid model addresses the limitations of traditional methods by enhancing AWUE forecast accuracy and stability. By integrating historical AWUE data and environmental factors, the model provides a detailed understanding of AWUE’s spatial and temporal variations. Compared to traditional BP neural networks and other methods, the Tent-SSA-BPNN model significantly improves prediction accuracy and stability, achieving an accuracy (ACC) of 96.218%, a root mean square error (RMSE) of 0.952, and a coefficient of determination (R²) of 0.9939, surpassing previous models. The results show that (1) from 2010 to 2022, the average AWUE in the JHP fluctuated within a specific range, exhibiting a decrease of 0.69%, with significant differences in the spatial and temporal distributions across various cities; (2) the accuracy (ACC) of the Tent-SSA-BPNN prediction model was 96.218%, the root mean square error (RMSE) was 0.952, and the coefficient of determination (R²) value was 0.9939. (3) Compared with those of the preoptimization model, the ACC, RMSE, and R² values of the Tent-SSA-BPNN model significantly improved in terms of accuracy and stability, clearly indicating the efficacy of the optimization. (4) The prediction results reveal that the proportion of agricultural water consumption has a significant impact on AWUE. These results provide actionable insights for optimizing water resource allocation, particularly in water-scarce regions, and guide policymakers in enhancing agricultural water management strategies, supporting sustainable agricultural development. Full article

In the context of sustainable agricultural development and rural revitalization in China, understanding and addressing psychological poverty traps among rural farm households is crucial. The poverty mindset represents a crucial factor affecting rural poverty. This study focuses on two key questions: first, whether and how material poverty influences the poverty mindset; and second, whether this psychological state affects economic behavior, potentially intensifying material poverty. Using data from the China Family Panel Studies (CFPS) spanning 2014–2018, the data collection employed a multi-stage stratified sampling approach. Multiple methods, including questionnaire surveys and in-depth interviews, were utilized to gather information. Through matching and merging processes based on personal questionnaire IDs, a total of 30,143 observations were obtained over a three-year period. We employ Causal Mediation Analysis (CMA) to examine the micro-level mechanisms between material and psychological poverty among rural farm households. Our findings reveal three key insights. First, material poverty significantly reduces aspiration levels and behavioral capabilities of rural farm households, with impoverished groups scoring approximately 10% lower than non-poor groups. Second, this negative impact operates through two primary channels: stigma effects (self-stigmatization 11.29%, social stigma 4.71%) and psychological resource depletion (negative emotions 1.5%, psychological stress 1.27%). Third, psychological poverty reinforces material poverty through aspiration failure (72.3%) and capability deficiency (75.68%), creating a self-perpetuating “psychological poverty trap” that particularly affects agricultural production efficiency. These findings suggest that sustainable agricultural development requires addressing both material and psychological dimensions of rural poverty. Policy recommendations include strengthening psychological support for farm households, enhancing agricultural capacity building, mitigating stigma effects in rural communities, and reconstructing psychological resources for sustainable development. This integrated approach can help break psychological poverty traps, improve agricultural productivity, and support rural revitalization in China. Full article

As the global climate crisis intensifies, improving agricultural carbon emission efficiency has become crucial for achieving the sustainable development goals (SDGs). This study investigates the complex, non-linear relationship between China’s digital economy and agricultural carbon emission efficiency, utilizing panel data from Chinese provinces spanning 2012–2022. We employ a multi-method approach, including the Super-SBM model for efficiency measurement, two-way fixed effects models, quantile regression, and Generalized Additive Models (GAMs) for empirical analysis. Our findings reveal: (1) The digital economy significantly enhances agricultural carbon emission efficiency, but with distinct non-linear characteristics across different dimensions. (2) The impact varies among digital economy aspects: the digital economy foundation shows the most substantial influence, followed by the rural digital industry level, while rural digital infrastructure has a relatively minor effect. (3) A threshold effect is observed, with the digital economy’s impact more pronounced in regions with higher agricultural carbon emission efficiency. (4) GAM analysis unveils complex non-linear patterns: the rural digital industry’s impact initially decreases before increasing, the digital economy foundation shows an overall increasing trend with plateaus, and rural digital infrastructure exhibits a near-linear relationship. (5) Sensitivity analysis indicates that agricultural carbon emission efficiency is most responsive to changes in the digital economy foundation, followed by the rural digital industry level. These findings provide nuanced insights into the digital economy’s role in enhancing agricultural sustainability. We propose targeted policy recommendations, including accelerating rural digital infrastructure development, optimizing the rural digital industry structure, and implementing context-specific digital facility construction. These strategies aim to fully leverage the digital economy’s potential in improving agricultural carbon emission efficiency, contributing to China’s “dual carbon” goals and sustainable agricultural development. Full article

The widespread popularization of Internet technology has facilitated the emergence of e-commerce as a novel avenue for agricultural product sales, driven by its convenience and broad reach. Nevertheless, in Wuchang City, a well-developed agricultural region in northeastern China, some farmers still exhibit low enthusiasm for participating in agricultural product e-commerce, with limited levels of engagement. To investigate the underlying causes, this study analyzes survey data from 301 farmers in Wuchang City and uses mean difference significance tests and Logistic and Tobit regression models to explore the factors influencing farmers’ adoption of e-commerce for agricultural products. The results demonstrate that gender and the number of household members involved in agricultural labor significantly influence the adoption decision and the extent of adoption. There is a significant difference in the adoption of decisions among ages. Subjective willingness and policy perception positively and significantly influence the adoption decision. Risk perception significantly and negatively impacts the extent of adoption. Infrastructure exerts a significant and negative influence on the adoption decision but a significant and positive influence on the extent of adoption. Based on these findings, this study suggests localized reforms, enhanced e-commerce promotion, and differentiated training to boost farmers’ adoption, promoting sustainable development of the agricultural e-commerce economy. Full article

Food security serves as the cornerstone of national security, intricately linked to social stability and economic progress. Currently, with the swift evolutions in social economy, logistics and transport, information dissemination, and technological advancements, there has been a marked increase in the cross-regional flow of food production, distribution, and consumption. Consequently, the spatial interdependence of food security across different regions has grown increasingly salient. This paper investigates the spatial interrelationship of food security levels in China through a network analysis framework, examining its determinants and network dynamics. The findings offer valuable insights for decision-makers aiming to optimize agricultural resource allocation and enhance national food security levels. This research establishes a comprehensive evaluation index system for assessing food security levels in China across four dimensions: production security, distribution security, supply security, and consumption security. Employing data from 30 provinces between 2008 and 2022, the entropy method quantifies food security levels, while a modified gravity model underpins the construction of a spatial association network. This framework subsequently examines the network’s structural characteristics and the factors influencing its formation. The results reveal that: (1) China’s food security levels demonstrate a consistent upward trajectory over the study period, though significant regional disparities persist. The central region surpasses the national average, while the eastern and western regions lag. Recently, the western region has shown accelerated improvements in food security, followed by the central area, with the eastern region maintaining steady growth. (2) A structurally robust spatial correlation network of food security has emerged, characterized by variations in the number of network relationships, fluctuations in network density, and a decline in network efficiency while still exhibiting pronounced small-world characteristics. (3) The network displays a clear core-periphery structure, with Shanghai, Beijing, and Jiangsu positioned centrally, playing pivotal intermediary roles, whereas remote provinces such as Gansu, Ningxia, and Liaoning occupy the periphery. (4) The four major regions demonstrate sparse internal connectivity yet robust inter-regional ties, resulting in pronounced spillover effects. (5) Various factors, including geographic distance, provincial proximity, disparities in economic development levels, variations in marketization, differences in agricultural human capital, and disparities in land productivity, significantly impact the establishment of spatial correlations in food security. The affirmative influences of geographic distance and neighboring relations, along with the beneficial shifts in economic development disparities, suggest that the flow of technology and resources plays a crucial role in reinforcing spatial connections. Full article

Exploring the interrelationships and influencing factors of the multifunctionality of cultivated land is crucial for achieving its multifunctional protection and sustainable use. In this paper, we take the Min River basin as a case study to construct a multifunctional evaluation system based on “agricultural production, social security, ecological service, and cultural landscape” using multi-source data. We analyze the spatial and temporal characteristics of the multifunctionality of cultivated land through kernel density estimation (KDE) and visual mapping. Subsequently, we assess the trade-off strength between the multifunctional aspects of cultivated land using the root mean square error (RMSD). Finally, we identify the drivers of the multifunctional trade-off intensity of cultivated land and analyze their influencing mechanisms using Geographic Detectors. The results show that (1) from 2010 to 2020, the multifunctional structure of cultivated land in the study area underwent significant changes: the levels of agricultural production, social security, and ecological service functions first increased and then decreased, while the levels of cultural landscape function and comprehensive function continued to increase. The spatial distribution is characterized, respectively, by “high in the east and low in the west”, “high in the west and low in the east”, “high in the north and low in the south”, “high in the whole and sporadically low in the northeast”, and “high in the middle and low in the surroundings”. (2) During the study period, the trade-off strengths related to social security functions increased, while the trade-off strengths of the remaining multifunctional pairs of cultivated land showed a weakening trend, with high values of trade-off strengths among functions particularly prominent in the Nanping Municipal District. (3) Both natural and human factors significantly affect the multifunctional trade-off strength of cultivated land. Among the specific factors, elevation, slope, average annual temperature, and per capita GDP are the key factors influencing the strength of the trade-offs between functions. The results of this study provide empirical support for enriching the understanding of the multifunctionality of cultivated land and offer a decision-making basis for promoting the differentiated management of cultivated land resources and the synergistic development of its multifunctionality. Full article

This paper investigates the efficacy of weather derivatives as a risk management tool in the agricultural sector of Naousa, Greece, focusing on tree crops sensitive to temperature variations. The specific purpose is to assess how effectively weather derivative options can mitigate financial risks for farmers by providing strategic solutions. The study assesses the strategic application of Heating Degree Days (HDD) index options and their potential to alleviate economic vulnerabilities faced by farmers due to temperatures fluctuations. Employing different strike prices in Long Call and Straddle options strategies on the HDD index, the research offers tailored risk management solutions that cater to varying risk aversions among farmers. Moreover, the study applies the Value at Risk (VaR) methodology to quantify the financial security that weather derivatives can furnish, revealing a significantly reduced probability of severe financial losses in hedged scenarios compared to no-hedge conditions. Results show that all implemented strategies effectively enhance financial outcomes compared to scenarios without hedging, highlighting the exceptional utility of weather derivatives as risk management tools in the agricultural sector. Strategy 4, which exhibits the lowest VaR, emerges as the most effective, providing substantial protection against adverse weather conditions. This research supports the notion that weather derivatives can substantially contribute to the economic sustainability of rural economies, influencing policy decisions toward enhancing financial instruments for risk management in agriculture. Full article

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. Full article

In recent years, frequent external emergencies have continuously impacted China’s pig industry chain. As the scale and standardization of pig farming in China have increasingly improved, pig futures have met the conditions for good operation and were listed for trading on the Dalian Commodity Exchange on 8 January 2021. To study the impact and influence of African swine fever, COVID-19, and the listing of pig futures on the price transmission mechanism at various stages of China’s pig industry, weekly price data from the pig industry from January 2015 to June 2023 were selected to construct an SV-TVP-VAR model for analysis. The empirical results showed that the shocks of African swine fever and COVID-19 caused price fluctuations at various stages of the pig industry chain, while price fluctuations significantly decreased after the listing of pig futures. Therefore, the introduction of pig futures effectively alleviated the price fluctuations at various stages of the pig industry chain following the shocks of African swine fever and COVID-19, and relevant policy recommendations are proposed accordingly. Full article

Within the “dual carbon” framework, sustainable agriculture is pivotal for climate change mitigation and long-term agricultural health. To explore the environmental effects of agricultural trade, this study assesses the carbon emissions from agriculture using information from 30 provinces in China (excluding Tibet, Hong Kong, Macao, and Taiwan due to a lack of available data) from 2001 to 2021. Then, we analyzed the impact of agricultural trade on agricultural carbon emissions and tested for the possible existence of mechanisms. Finally, we validate the synergistic effects of agricultural trade on pollution and carbon abatement. The findings were as follows: (1) Agricultural trade significantly suppresses agricultural carbon emissions. (2) Agricultural technological progress and the rationalization of the structure of the agricultural industry are the two influencing mechanisms. (3) The inhibitory effect of agricultural trade on agricultural carbon emissions is more pronounced in southern regions and regions with lower degree of topographic relief and higher agricultural industrial agglomeration. (4) Agricultural trade fosters the collaborative advancement of mitigating agricultural pollution and reducing carbon emissions. As a result, this study confirms that agricultural trade has a role in reducing carbon emissions and that giving full play to the environmental effects of trade in agricultural products contributes to the high-quality development of agriculture. Full article

Promoting green and sustainable agriculture is of great significance for ensuring food security and addressing global challenges. Meanwhile, health has increasingly become a global concern. Nutrition and health are the purpose of agricultural production. As two major global issues, how agriculture empowers human health has long been discussed. Based on the provincial panel data of China from 2003 to 2021, this paper studies the impact of agricultural green transformation (AGT) on residents’ health and explores its impact mechanism. The empirical results show that: (1) AGT in China has significantly reduced the average mortality rate and maternal mortality rate and significantly increased the average life expectancy, indicating that AGT in China has significantly improved the health level. The conclusions of robustness testing methods such as replacing AGT indicators and controlling endogeneity are still valid; and (2) The impact of AGT on residents’ health depends on the regional economic level, and there is a threshold effect. Compared with low-income areas, the positive effects of AGT in high-income areas on residents’ health are more pronounced; and (3) Agricultural carbon emissions play an intermediary effect between AGT and residents’ health, and AGT can improve residents’ health by reducing carbon emissions. The level of local education development plays a moderating role in the relationship between AGT and residents’ health. Agricultural policy implications include enhancing the ability to protect and utilize agricultural resources, promoting the green and low-carbon transformation of agriculture, and taking a more scientific and systematic approach towards the complex diversity of health risk factors. Full article

In the context of advancing the transformation and upgrading of grassland animal husbandry, encouraging and guiding the widespread adoption of livestock insurance plays an important role in promoting the sustainable development of the livestock industry. This paper explores the impact of herders’ attitudes and perceptions towards climate change risks on their livestock insurance strategies. Firstly, experimental economics methods are employed to measure the risk preferences of herders on the Tibetan Plateau. Secondly, a theoretical model incorporating risk preferences and insurance adoption behavior is constructed. Finally, the effects of herders’ risk preferences on insurance adoption behavior are empirically examined through double-hurdle models, instrumental variable models, and moderating effect models. The results reveal that (1) most herders on the Tibetan Plateau exhibit risk-averse characteristics. (2) The degree of risk preference has a significant negative impact on herders’ insurance adoption behavior, while the risk perception significantly positively influences insurance adoption. The results remain valid even after addressing issues of endogeneity and conducting robustness checks. (3) Livestock income plays a crucial moderating role in the mechanism through which risk attitudes affect insurance adoption behavior. (4) The impact of risk preference on insurance adoption behavior shows regional and income heterogeneity. Full article

China’s urban–rural dichotomy has resulted in a widening gap between urban and rural areas, posing significant challenges to rural development. This study aims to investigate the spatio-temporal differentiation and driving mechanisms of rural industry integration within the Chengdu–Chongqing Economic Circle in China. Using panel data from 2011 to 2020, we employed the entropy weight TOPSIS method to construct a comprehensive index that charts the evolution of rural industry integration across various districts and counties. Additionally, we utilized fixed-effect and spatio-temporally weighted regression models to analyze the underlying driving forces behind this integration. Our findings reveal a dynamic and varied landscape of rural industry integration, with different levels of depth and breadth across various subsystems. Spatially, we observed a transition from a dispersed to a more concentrated agglomeration pattern within the Chengdu–Chongqing Economic Circle. This shift suggests a diffusion effect emanating from core metropolitan areas, as well as an attracting force exerted by adjacent metropolitan circles. In terms of drivers, market demand, openness level, financial development, policy support, and agricultural insurance breadth significantly contribute to rural industry integration. However, technological progress and rural human capital exhibit a weaker correlation. Notably, our models identified pronounced spatial–temporal heterogeneity among these influencing factors, highlighting a nuanced and dynamic relationship between them. Overall, our study emphasizes the crucial role of rural industry integration in bridging the urban–rural divide and fostering sustainable agricultural development and rural revitalization. The insights gained from this research provide valuable guidance for policymakers and stakeholders seeking to optimize rural development strategies and unlock the potential of integrated rural industries. Full article

Governments globally aim to boost productivity and enhance farmers’ livelihoods, addressing challenges like climate change, food security, and labor shortages through digital technologies. However, adoption rates in developing countries remain low due to uncertainties regarding expected returns and obstacles stemming from subjective and objective factors among farmers. This study takes China as a case study to examine the internal and external factors influencing growers’ adoption intensity of digital technology and its impact on enhancing economic benefits, aiming to provide valuable insights for the promotion of digital technology in other countries and regions. This study employs a mixed-methods approach, integrating qualitative and quantitative methodologies, utilizing data from Shandong and Liaoning provinces. The findings underscore the significant role of growers’ knowledge, technology compatibility, government support, and competitive pressure in driving the adoption of digital technology among growers, with male growers and those managing larger cultivation areas demonstrating higher adoption intensity. Digital technologies can enhance growers’ economic benefits by reducing labor and input costs, increasing yields, and improving quality, with a 30.4% increase in economic benefits for each unit increase in adoption intensity of digital technologies. Technology promoters can use these findings to enhance growers’ awareness, highlight the practical benefits, and offer agricultural socialized services to promote digital technology adoption. Full article

The general requirements of China’s rural revitalization strategy are industrial prosperity, ecological livability and rich life. However, the traditional livestock breeding model has struggled to balance the dual requirements of production development and ecological protection, and it is urgent to inject new impetus and explore new development paths. At present, e-commerce has become a bridge between pastoral areas and cities, herdsmen and consumers. E-commerce participation is not only an important starting point for herdsmen to increase the added value and profit space of livestock products, but also an effective way to change the original breeding behavior based on the premise of destroying grassland. Therefore, this paper presents an in-depth study on the issue of e-commerce enabling grassland ecological restoration, aiming to provide more scientific and effective guidance for e-commerce to be used to achieve a win–win situation in economy and ecology. Therefore, based on the data of 271 herdsmen in pastoral areas of Inner Mongolia, we used the OLS model and the two-stage least squares (2SLS) method to identify the direct impact of herdsmen’s e-commerce participation on grassland utilization pressure. The empirical results show that e-commerce participation can significantly decrease the grassland utilization pressure. The conclusion was still valid after alleviating endogeneity and conducting a robustness test. The results of a mechanism analysis suggest that the reduction effect of e-commerce participation on grassland utilization pressure is mainly due to price incentive, reputation incentive and place identity. Subjective norms can strengthen the inhibitory effect of e-commerce participation on grassland utilization pressure. Furthermore, a heterogeneity analysis demonstrates that e-commerce participation has a better, decreased impact on the grassland utilization pressure on the banners of China’s rural e-commerce demonstration county program. Under a counterfactual assumption, if herdsmen who can participate in e-commerce choose not to do this, their grassland utilization pressure will increase. Full article

To solve the problem of the insufficient driving force and low adoption rate of conservation tillage adoption and to enhance the effect of industrial organization in influencing technology diffusion, this paper explored the relationship and the mechanism of perceived organizational support and inter-temporal choice in the adoption of conservation tillage by using micro-research data from 725 melon farmers in the Shaanxi and Shanxi provinces in China and by applying the experimental economics method to obtain the inter-temporal choices of the farmers. This paper also analyzed farmers’ risk preferences’ moderating effect on the relationship between inter-temporal choice and conservation tillage. Additionally, it examined the impact of perceived organizational support on the differentiation of different conservation tillage technologies. The study found that perceived organizational support significantly contributes to adopting zero tillage and minimum tillage, and water-saving irrigation. Perceived organizational support was not conducive to farmers’ adoption of furrow and ridge tillage. The impact of perceived organizational support on technology adoption is heterogeneous, depending on the differences in the size of the family’s cultivated land. The inter-temporal choice of farmers significantly impedes the adoption of conservation tillage. The increase in risk preference helps alleviate the hindering effect of inter-temporal choice on farmers’ adoption of conservation tillage. Perceived organizational support can promote the adoption of conservation tillage by reducing farmers’ inter-temporal choices. Inter-temporal choice is an essential mechanism by which perceived organizational support affects the adoption of conservation tillage. Compared with the existing studies, this paper incorporates the technology-attribute-induced inter-temporal choice of farmers into the impact analysis framework and considers the relationship between perceived organizational support, inter-temporal choice, and the adoption of conservation tillage and the mechanism of its action. The findings of the study provide a theoretical basis for the enrichment of incentive mechanisms for the adoption of conservation tillage, which is of great significance for the improvement of the tool for the integration of small farmers in developing countries into the industrial activities of the new agricultural business central bodies and for promoting the diffusion of conservation tillage in agriculture. Full article

Inefficiency is a problem in the production process, including in the organic farming sector. Over a long term period, this problem can disrupt the productivity of agricultural crops. This research aims to analyze the production and marketing efficiency of organic cabbage farming in the Kopeng agropolitan area, Indonesia. We utilized a Cobb–Douglas production efficiency analysis with the Stochastic Frontier Analysis (SFA) approach. The variables in this study include organic cabbage production, land area, seedlings, organic fertilizers, organic pesticides, and labor. We conducted in-depth interviews with 60 organic cabbage farmers in Kopeng, Indonesia, from January to August 2023. The research results showed that organic cabbage cultivation was economically inefficient in production, technical, and marketing. The use of organic fertilizers, the ability to diversify products on limited land, and the use of pesticides, have not been utilized optimally yet. The results of the marketing efficiency analysis showed that it was efficient. Organic plants were believed to have their market share and to have a higher selling value than non-organic ones. The implication was that the government needed to provide training in producing organic fertilizers and pesticides to reduce production costs so that organic farming could be technically and financially efficient. This research enriched the discussion regarding the need to analyze production and marketing efficiency to find strategies to increase organic cabbage productivity. Full article

One of the goals of the breeding program of the Latvian national sheep breed Latvian dark-head (LT; Latvijas tumšgalve) is the improvement of meat productivity, in parallel with good reproduction characteristics. The main part of the costs is the cost of feeding, which can be reduced by raising sheep with high feed efficiency. This goal can be achieved by selecting sheep based on feed efficiency indicators. The fattening data of 100 LT lambs were analysed using the relative growth rate (RGR) and Kleiber’s ratio (KR) indicators. The statistical difference was determined between low- and high-efficiency groups by calculating the cost of concentrate feed and income from meat realisation. The difference in the cost of concentrate feed was found after 60-days of intensive fattening and on the day needed for fattening up to 50 kg of live weight of lambs. When calculating the income of lamb meat, the differences between low and high RGR and/or KR efficiency groups were established. Thus, selecting high-ranking RGR and KR sheep can improve the cost and/or income of LT sheep breeders in Latvia. Full article

Every facet of life, including health, social, and economic aspects, has undergone a tremendous transformation due to the COVID-19 pandemic. This condition is exacerbated by socioeconomic fragility and vulnerability amid economic uncertainty, with an enormous debt burden and inequality increasingly spreading to regions. Elements of society in Indonesia experience the problem of a lack of income and capital, in addition to vulnerability and helplessness. Social, economic, community–institutional, and resource vulnerabilities are inevitable; therefore, they must be identified, anticipated, and dealt with to avoid worsening. This research aims to identify the affected households and their economic resilience when facing the COVID-19 pandemic. A mixed approach with a sequential exploratory strategy was employed, whereby qualitative data were first collected and analyzed. Based on the findings of the first stage, quantitative data were obtained and examined in the second stage. This study was conducted in two rural locations with distinct characteristics: the Gunungkidul District on Java Island and the Bangkalan District on Madura Island. These findings demonstrate the economic resilience of households in Bangkalan and Gunungkidul. The factors that significantly influence economic resilience are household income, assets, and product availability in the market. Full article

Floods destroy crop production; nevertheless, the extent of their impact on farmers’ livelihoods in developing countries has been poorly investigated. This paper contributes to the growing evidence-based assessment of the impacts of shocks on communities. It assessed the post-disaster livelihood of farmers affected by the 2012 flooding in the semi-arid zone of Benin. To this end, a survey was conducted on 228 farmers in two municipalities of the flood-prone part of the semi-arid zone of Benin (Malanville, Karimama). Information on the well-being of households was collected using semi-structured interviews. Data were analyzed using income and consumption approaches focusing on poverty and on subjective assessment using happiness approach. Additionally, a probit model was used for a poverty assessment. The survey revealed that flooded farmers were amongst the poorest in the study system. Seven variables determined poverty in this study: household size, location, the percentage of the farm size that was flooded, fishing, the farmer’s gender, farm size, and “holding a secondary activity”. Regarding happiness, 99% of the flooded farmers were unhappier after the flood in 2012. The results clearly show that being subjected to floods increases the incidence of poverty. The capacity of flood risk management and governance should be strengthened in the study system. Full article

Conducting agricultural land suitability assessments (ALSA) scientifically is crucial for ensuring food security and fostering sustainable agricultural development. This study assessed the suitability of agricultural land in Taiyuan using a geographic information system (GIS) and the analytic hierarchy process (AHP), integrating factors such as topography, soil, water sources, and social conditions at a 1 km spatial resolution. The primary aim was to map the spatial distribution of agricultural land suitability and understand county-level variations. Given the irreversible impact of urban development on land use and the critical importance of ecological conservation, corresponding subtractions for urban and natural protected areas have been applied in this study during the assessment of agricultural land suitability. The findings revealed that Taiyuan’s agricultural land suitability generally falls within an intermediate range, without areas classified as completely unsuitable (lowest rank) or suitable (highest rank). The agricultural land suitability does not reach the extreme conditions of being “unsuitable” (lowest rank) nor “suitable” (highest rank), reflecting an overall intermediate potential for agricultural production across the entirety of Taiyuan. The spatial distribution indicates higher suitability in the east and lower in the west, with 33.1% of Taiyuan’s territorial area deemed relatively suitable, 61.3% moderately suitable, and only 5.6% generally suitable for agricultural production. Recommendations include focusing on high-economic-return crops in suitable areas, adopting drought-resistant varieties and enhancing agricultural infrastructure in moderately suitable areas, and prioritizing ecological conservation in generally suitable areas. Additionally, county-level strategies suggest differentiated agricultural models: agritourism and boutique agriculture in urban conflict areas like Qingxu and Wanbailin; cultivation of cold-resistant crops in ecologically fragile areas like Loufan; and sustainable agricultural practices like planting drought-resistant crops in water-scarce regions like Yangqu. This comprehensive assessment offers valuable insights for optimizing agricultural land allocation in Taiyuan, balancing economic development with ecological sustainability. Full article

Recent technological advancements have revolutionized agriculture in Asia, leading to significant changes in crop yield stability. This study examines the changing face of crop yield stability in Asia resulting from the increasing adoption of innovative technologies in agriculture. Through a review of current research and case studies, the impact of technology-driven changes on yield levels, variability, and predictability is explored. The study applies a yield stability index (YSI) to evaluate the yield stability of six crops in seven Asian countries during two periods (1961–1994 and 1995–2020), comparing the countries, crops, and stability changes between the two segments. The novelty of the research is the application of YSI, which, contrary to usual stability metrics, can distinguish between rare large extreme yields and frequent minor fluctuations, and based on this feature, evaluates the suitability of the prevailing technologies to local environmental conditions. The YSI is used to evaluate the stability of technologies, indicating whether the technologies can respond well to the annual variations of environmental conditions. Positive YSI values indicate stable technologies that can respond well to the annual variations of environmental conditions, and the concept of a well-technologized crop is used for crops in countries with stable positive YSI values, indicating the suitability of the actual crop to the actual geographical environment. These results can guide production technology developments and the introduction or abandonment of certain crops in certain geographical zones, especially regarding the implications of climate change and global warming. This study highlights the transformative power of technology in improving crop yield stability and food security in Asia, while discussing the potential challenges associated with these changes and the need for continued research to address them. Full article

The rapid development of China’s digital economy has promoted the digital transformation of Chinese society and become a new driving force for China’s social development. Furthermore, increasing farmers’ income is the central task of China’s “three rural issues” project, and the integrated development of primary, secondary, and tertiary rural industries is an important way to revitalize rural industries and broaden farmers’ income channels, so it is very important to promote the integrated development of rural industries. In the context of the rapid development of China’s digital economy, it is of great significance to study how the digital economy promotes the integration of rural industries. Therefore, this study analyzed how China’s digital economy promotes the integration of rural industries by using the panel data and regression models of 30 provinces (municipalities and districts) in China from 2011 to 2021. The results show that (1) there is a significant positive relationship between the development level of the digital economy and the level of rural–industrial integration and that the development of the digital economy promotes the process of rural–industrial integration; (2) intermediary effect analysis shows that as the digital economy promotes rural–industrial integration, scientific and technological innovation levels and rural human capital are important intermediary channels; and (3) spatial analysis shows that the development of the digital economy can not only promote the integration of rural industries in the province but also have a positive spatial spillover effect on neighboring provinces. Therefore, it is necessary to create a good atmosphere for the development of the digital economy, constantly promote the development of the digital economy, pay attention to scientific and technological innovation and rural talent training, and promote the integration and coordinated development of the digital economy and rural industries between regions in order to improve the level of rural–industrial integration and contribute to the rural revitalization strategy. Full article

Present agricultural practices confront issues such as mismatches between tractors and implements, imprecise machinery allocation, and excessive machinery investment. Optimization of agricultural machinery systems was a potent remedy for these concerns. To address inaccuracies in calculating objective functions and the incompleteness of constraints in existing models for agricultural machinery system optimization, a comprehensive mixed integer nonlinear programming (MINP) model for agricultural machinery system optimization was established. The model introduced timeliness loss costs for multiple key operations across various crops into the objective function, and constraints were enhanced by including operation sequence constraints and boundary constraints on initiation and completion dates of those key operations. Taking corn and soybeans as examples, timeliness loss functions of sowing and harvesting operations were derived through experiments. Solving the MINP model by Lingo (V.14.0) software, improvements in total power, workload per unit power, and total operational costs were shown when comparing the optimized machinery system through the MINP model against current systems. When the model omitted considerations for timeliness loss functions and operation sequence constraints, issues arose including an increase in total operational costs and an inversion of operation sequence. The model’s application in devising machinery allocation plans for production units of various operational scales revealed a gradual decrease in total power and costs per unit area with expanding scale, approaching stability when scale exceeded 1600 hm². This study enriches theory and methodology for optimizing agricultural machinery systems, provides theoretical and technological underpinnings for rational machinery acquisition, and promotes the high-quality progression of comprehensive agricultural mechanization. Full article

Leading agricultural enterprises attracting farmers to participate in vertical collaboration within the industry chain can expedite the process of agricultural industrialization and help achieve rural revitalization. This study focuses on table grape growers in the Yangtze River Delta region of China as the research subjects. Instead of examining the impact of specific elements individually on farmers’ involvement in vertical collaboration within the industry chain, this study emphasizes the combination of multiple factors influencing farmers’ engagement. Employing a fuzzy-set qualitative comparative analysis and adopting a configurational perspective, this research investigates how six factors—growers’ age, ratio of sales income to household income, production scale, market distance, financial support, and technical support—combine to influence farmers’ participation in vertical collaboration within the industry chain. This study reveals that leading enterprises can indeed promote farmers’ participation in vertical cooperation within the agricultural chain, and four pathways are identified. Based on these findings, three configurations are summarized: risk-averse, resource-constrained, and burden-alleviating. Specific strategies and recommendations for targeting each of these configurations are proposed based on the findings, along with policy suggestions for regulating the six factors, both by the enterprises themselves and by the government. Full article

Improving agricultural energy efficiency is essential in reducing energy consumption and achieving agricultural sustainable development. This paper aims to measure the agricultural total-factor energy efficiency in China rather than the partial-factor energy efficiency while taking full account of regional heterogeneity and to investigate the driving factors of agricultural total-factor energy efficiency. The empirical results showed that the average value of agricultural total-factor energy efficiency is 0.814 in China, and the technological gap ratio is 0.853. The regional difference in agricultural total-factor energy efficiency was quite obvious. Higher agricultural energy inputs are associated with higher agricultural total-factor productivity. The total value of potential agricultural energy savings in 30 provinces of China reached 1704.41 billion tons of standard coal. In terms of the absolute amount of agricultural energy saving, the amount was largest in the low-energy-input area, which was 113.87 million tons of standard coal, accounting for 66.81% of the total potential saving amount. Furthermore, we used the Tobit model to analyze the influencing factors of agricultural total-factor energy efficiency. We found that the proportion of agriculture to GDP has a positive impact on agricultural total-factor energy efficiency, while the per capita income of farmers, fiscal support for agriculture, the illiteracy rate of farmers, agricultural labor input, and agricultural capital stock have a negative impact on agricultural total-factor energy efficiency. Finally, we proposed policy implications in terms of agricultural technological progress, agricultural infrastructure, technical training, etc. Full article

Within the regime established by the Directive on Sustainable Use of Pesticides (SUDP); the present work explores the relationship between pesticides’ agricultural use per hectare of cropland and the GDP per capita of the rural population for twenty-five EU countries to unveil the efficiency of the current EU strategy. With the econometric tool of panel nonlinear autoregressive distributed lag (NARDL) cointegration technique; we try to capture potential asymmetries in the agricultural use of pesticides concerning positive and negative variations in agricultural income. The findings validate the existence of a long-run relationship that supports an Environmental Kuznets Curve (EKC); i.e., an inverted U-shaped relationship between the variables; since increasing agricultural income is related to reductions in the use of pesticides after the turning point. Even though this result is not validated in the short run; our findings confirm the existence of a steady-state situation with asymmetric responses to pesticides. In terms of policy implications; more measures need to be taken; along with the education of farmers; aiming to enhance their consciousness towards environmental issues and; in consequence; for them to prefer environmentally friendly plant protection methods over chemical ones. Full article

Based on the survey data of five large grain-producing provinces in China, we have studied the promotion effect of the agricultural production trusteeship on the high-quality production of grain by using a propensity score matching method. The empirical results show that the high-quality production of the grain level increases by 0.292, with an increase of 87.4% after farm households participate in agricultural production trusteeship. The level of high efficiency, premiumization, greenization, and branding of grain production increased by 0.234, 0.373, 0.208, and 0.158, respectively. However, there are differences in the facilitation effects of different trusteeship services, with the best promotion effect of agricultural material supply services, followed by post-harvest services, and then land management services and cultivating and harvesting services. The average treatment effect on the treated (ATT) is 0.287, 0.230, 0.158, and 0.139, respectively. Meanwhile, there are differences in the promotion effects for farm households with different factor endowments. The promotion effect is better for small farm households with three laborers or less, a land management scale of 10 mus or less, and one type of agricultural machinery or less. Therefore, in order to give full play to the promotion effect of agricultural production trusteeship on high-quality production of grain, the government should vigorously support its development and guide more smallholders to choose agricultural production trusteeship. Full article

Based on the survey data of five large grain-producing provinces in China, this paper studies the effect of agricultural production trusteeship on agricultural carbon emission reduction by using a propensity score matching method. The empirical results show that the carbon emission of wheat reduces by 7.107 kg/mu, with a decrease rate of 15.5% after participating in agricultural production trusteeship. Among them, chemical fertilizers, manpower input, agricultural chemicals and diesel oil, respectively, reduce with rates of 14.2%, 27.7%, 14.1%, and 6%. However, there are differences in the facilitation effects of different trusteeship services, with the best promotion effect of field management services, followed by cultivation, planting and harvest services, and then agricultural material supply services, for which the average treatment effects on treated (ATT) is −6.160, −5.732 and −5.530, respectively. Meanwhile, there are differences in the promotion effects for farm households with different factor endowments. The promotion effect is better for small farm households with one type of agricultural machinery or less, and an operation scale of 7 mu or less. Therefore, in order to better play the role of agricultural production trusteeship in agricultural carbon emission reduction, the government should vigorously support its development and guide more smallholders to choose agricultural production trusteeship. Full article

This study aimed to examine the efficiency of cotton farms and the energy requirements of the input and output of cotton in Türkiye. Data were collected from 657 cotton farms, and the results showed that the energy input of machinery (28.69%) had the most significant share in the total energy input, followed by electricity (22.79%) and nitrogen (20.75%). The total energy consumption of cotton was 83,869.49 MJ ha⁻¹. In cotton production, the energy use efficiency, energy productivity, specific energy, and net energy were measured to be 0.87, 0.07, 17.31, and −23,043.92 MJ per hectare. Cotton plants consumed more indirect energy (51.99%) than direct energy (48.01%) and more non-renewable energy (89.96%) than renewable energy (10.04%). According to the data envelopment analysis results, the average technical efficiency of cotton farms was 0.84. Inefficient farms can reduce their inputs by approximately 16% without reducing the amount of cotton production. Allocative efficiency, pure technical efficiency, and scale efficiency of cotton farms were determined at 0.570, 0.539, and 0.640, respectively. Human labour, machinery, diesel, nitrogen, and phosphate energy use should be reduced for inefficient farms to become more efficient. Full article

To solve the problem of credit rationing for farmers that shackles the transformation and upgrading of the agricultural industry and to improve the effect of agricultural industry chains in helping farmers, this paper empirically examines the effect of joining agricultural industry chains on supply-based and demand-based credit rationing for farmers, using the probit and tobit models based on the microscopic research data of 991 farmers in Shaanxi Province, China, and explores its specific effect mechanism. The study finds that agricultural industry chains can increase farmers’ credit by reducing the information asymmetry between farmers and banks, reducing agricultural business risks, and forming effective collateral and guarantee mechanisms, and that they have significant mitigating effects on farmers’ supply-based quantity rationing and demand-based price rationing, risk rationing and transaction cost rationing. Credit enhancement mechanisms such as information systems, commercial credit, orders, guarantees, production services and government support in agricultural industry chains have significant effects on alleviating farmers’ credit rationing, while insurance has limited effects on alleviating farmers’ credit rationing. There are differences in the effects of agricultural industry chains on alleviating various types of credit rationing of heterogeneous farmers in terms of scale, and the effects of joining agricultural industry chains on alleviating supply-based and demand-based credit rationing of large-scale farmers are more obvious than those of small farmers. Compared with the existing studies, this paper incorporates the credit rationing produced from farmers’ own reasons into the analysis framework, and introduces credit-enhancing variables of agricultural industry chains to test their specific mechanisms on farmers’ credit rationing. The findings of this study can provide a theoretical basis for promoting the innovation of financial models of agricultural industry chains, which is of great practical significance for improving the system of agricultural industry chains in developing countries, strengthening the role of industrial chains in absorbing small farmers, and promoting the modernization of agricultural industries with financial assistance. Full article

The European Green Deal has set a concrete strategic plan to increase farm sustainability. At the same time, the current global challenges, due to climate change and fuels and commodity market crises, combined with the COVID-19 pandemic and the ongoing war in Ukraine, affect the need for quality food and necessitate the reduction of negative external effects of agricultural production, with fair remuneration for the farmers. In response, precision agriculture has great potential to contribute to sustainable development. Precision agriculture is a farming management system that provides a holistic approach to managing the spatial and temporal crop and soil variability within a field to improve the farm’s performance and sustainability. However, farmers are still hesitant to adopt it. On these premises, the study aims to evaluate the impacts of precision agriculture technologies on farm economic, agronomic, and environmental management by farmers adopting (or not) these technologies, using the case study method. In detail, the work focuses on the period 2014–2022 for two farms that cultivate durum wheat in central Italy. The results suggest that the implementation of precision technologies can guarantee economic and agri-environmental efficiency. The results could serve as a basis for developing a program to start training in farms as well as to suggest policy strategies. Full article

Ensuring sustainable levels of rice yield has become a significant concern in recent years. To improve yields in rice production, it is essential to increase factor inputs and productivity. However, current research primarily focuses on general grain productivity, rather than rice. In this study, utilize the DEA-Malmquist index to present a comprehensive temporal and spatial analysis of rice productivity and its determinants in China. Our findings reveal that the overall efficiency of rice production in China exhibits a fluctuating upward trend, with technological progress being the primary driver of improvement in production efficiency. Moreover, rice production efficiency demonstrates a distribution pattern that decreases from east to west, with resource endowment, production conditions, socioeconomic development levels, and the political system being crucial factors influencing efficiency. This study proposes novel ideas for structural adjustments and regional divisions within China’s rice industry and provides a theoretical foundation for governments to develop evidence-based policies. Full article

Ecosystems in rural areas play a crucial role in promoting human well-being and economic development by providing essential resources such as food, water, raw materials, and energy. Furthermore, rural ecosystems offer various services, such as recreational opportunities, climate regulation, biodiversity conservation, and environmental mitigation. However, a narrow focus on provisioning services has led to the standardisation of landscapes, decreased levels of biodiversity and reduced ecosystem services in several areas. Moreover, diverse rural landscapes can enrich the provisioning, regulating, cultural, and supporting services. While much research has explored the relationship between land use, landscape, and ecosystem services, there is still a need to better understand the trade-offs and synergies between these factors in providing ecosystem services. To address this gap, we conducted an empirical analysis of the perception of ecosystem services provided by different rural landscapes in the Tuscany region. Specifically, we used the concept of morphotypes, which describes ‘invariants’ that distinguish six different rural landscape typologies in the region. We surveyed 28 experts to identify rural landscape contributions to 17 ecosystem services. Our results provide empirical evidence and insight into the mechanisms necessary to align the provision of ecosystem services by rural landscapes with current and future needs. Full article

Agricultural industries are the foundation of the modernization of agricultural and rural areas in China. National Modern Agricultural Industrial Parks (NMAIPs) provides a considerable nationwide platform for agricultural industries. We take 200 NMAIPs in China as objects. Through spatial analysis, the Herfindahl–Hirschman index, and the SBM-DEA model, we analyzed the development characteristics and regional differences of NMAIPs from the muti-level perspective of national planning, provincial coordination, and county implementation to propose policy recommendations aimed at sustainable and high-quality development. The results are as follows: (1) Regarding geospatial characteristics, NMAIPs are unevenly distributed, with a decreasing gradient from east to west. The direction is east (northward) to west (southward), consistent with the direction of the Hu line. The distribution density shows that the east is dense and the west is sparse. (2) For industrial concentration, the leading industries in NMAIPs tend to be homogenous. The HHI indicates that the homogenization of leading industries is widely represented in each province. The low oligopolistic areas are in the central and eastern regions of China, while the highly oligopolistic locations are in the western and northeastern provinces. (3) In inputs–outputs efficiency, the comprehensive technical efficiency is high but not optimal, while the distribution of values is high in the south and low in the north. Ten provinces are non-effective. According to inputs and outputs, the ineffective contribution of population of townships covered, occupied area and the capital from the collective economy are development barriers, and the high output value of NMAIPs cannot fully drive the employment and income of farmers. Further improvements are needed in terms of both pure technical efficiency and scale efficiency, and adjustments to scale operations should be in response to different returns to scale. Our research results provide policy recommendations for NMAIPs, including the establishment of a multi-level management mechanism, balancing regional development, diversifying and coordinating regional leading industries, and improving the efficiency of utilization factors. Full article

Knowledge of better farming methods has been a crucial step upon which agriculture has grown over time. Knowledge, on the other hand, is a currency transferred from one person to another with the vision to improve the quality of life of the other person. Agricultural knowledge has been transferred from one generation to the next based on the experience of one society and whatever knowledge they have developed in their existence. This shows that possession of a better and deeper understanding of agricultural processes and strategies is vital in developing the agricultural sector within a particular society. Therefore, better ways of acquiring agricultural knowledge together with improved methods of transmission of the same knowledge is primary in the advancement of agriculture within a group of people. In the last years, farming and agriculture have made significant strides in utilizing Information and Communication Technology (ICT), particularly in the realm of growers’ reach to market-based knowledge. Information and communication technology is being incorporated in several interventions that aim to properly educate producers about agriculture. In this context, ICT also helps them hold a competitive advantage in the process. This article addresses numerous cutting-edge initiatives that use Information and communication technology’s purpose of providing agricultural knowledge to farmers. Its assessment focuses primarily on answering the question of the intensity of change brought about by ICT and advisory services in agriculture. This focus enables this review to give a clear and conclusive view of how the two factors are creating a competitive advantage amongst different farmer groups and localities. Full article

This study aims to identify the relationships between critical factors and successful Enterprise Resource Planning implementation in the agricultural processing companies of Central Macedonia’s (Greece) region. Therefore, critical factors are taken into account collectively, as aspects of ERP implementation and its life cycle. Based on that, two versions of the particular information system’s management were presented, aiming to its success in the Greek agricultural processing field. The methodology which was used in order for the purposes of this analysis to be served, was that of Partial Least Squares Structural Equation Modeling. Through the answers given, it was determined whether the importance shown to the two different versions of critical factors is related to the degree of ERP systems’ success—or not—and in which way. Based on that, two management versions of ERP system are provided but also the scientific literature regarding the Greek and Central Macedonian field, is enriched. Lastly, helpful guidelines are developed in order for professionals and managers to understand the ways in which critical factors can be taken into account so as for the successful implementation of ERP in agribusinesses -specialized in the field of agricultural products processing- to be feasible. Full article

As skilled talent is the core element in optimizing the industrial structure, clarifying the factors that influence the lack of skilled talent in the agricultural industry is essential. The lack of skilled talent in the agricultural industry is a complex problem. The author based this study on the push–pull theory and used the fuzzy-set qualitative comparative analysis (FSQCA) research method to explore the “joint effect” of the factors that affect the lack of skilled talents in the agricultural industry in 14 cities of Hunan Province. This paper found that indicators such as the rural industry status, rural medical level, agricultural and forestry financial investment, urbanization construction, regional economic development level, and local government officials were all presented under sufficient conditions. These influencing factors have a “combined effect” on the agricultural industry’s lack of skilled talent. The rural industry status indicator was the core condition, appearing in all the configurations. This article’s main marginal contribution is that it defined three conditional configurations for the lack of “present” agricultural skilled talents, and dependent configurations are consistent. Among the three conditional configurations, the “rural industry + economic construction and financial investment” configuration is the most powerful way to retain skilled agricultural talents. In addition, the causal relationship between the lack of “present” agricultural industry skilled talents and the lack of “absent” agricultural industry skilled talents are asymmetric. The primary task is to develop rural industries to solve the problem of the shortage of skilled talent in the agricultural industry. Additionally, then implement the ‘industry+‘ combination policy. So the government must create related policies in the following areas: the supply of essential public services in rural areas, the economic construction of prefectures, the development of county urbanization, and the financial investment in agriculture, forestry, and water conservancy. Full article

To promote the resilient and coordinated development of regional economies, in this study, to construct an index system, we used the entropy weight method to measure the agricultural economic resilience of 11 prefecture-level cities in Jiangxi province, China during 2011–2020, and we analyzed the characteristics of their spatial-temporal pattern evolution. We used the Theil index method to analyze the main sources of their spatial differences. The results showed that: First, the mean value of agricultural economic resilience of prefecture-level cities in Jiangxi trended upward during 2011–2020. Among the prefecture-level cities, Ganzhou had the highest mean agricultural economic resilience value, while Yingtan had the lowest. From the perspective of regional division, the agricultural economy in southern Jiangxi was the most resilient, whereas that in northeast Jiangxi was the least. Second, since 2011, the overall difference in agricultural economic resilience in the four regions of Jiangxi has trended downward, with the inter-regional difference being the main source of the overall difference. Based on this, we provide the following policy implications: first, to continuously enhance the intrinsic dynamics of the agricultural economic resilience and strengthen policy support in Jiangxi; second, to coordinate the development of regional agricultural economic resilience and achieve overall improvement. Full article