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One of the effective ways to crack the "Three Rural Issues" and promote rural revitalization is to improve agricultural labor productivity (ALP). However, at this stage, improving China's ALP is still facing many obstacles and bottlenecks. Promoting migrant workers returning home for entrepreneurship is an important breakthrough point for solving this problem. This paper regards the pilot policy of migrant workers returning home for entrepreneurship as a quasi-natural experiment and empirically investigates the influence of migrant workers returning home for entrepreneurship on ALP and explores its potential mechanism and heterogeneity using county area panel data from 2011–2019. It found the following: Firstly, the policy of migrant workers returning home for entrepreneurship significantly increases ALP. Secondly, migrant workers returning home for entrepreneurship indirectly leads to a rise in ALP through the promotion of agricultural mechanization production. Thirdly, the heterogeneity test demonstrates that migrant workers returning home for entrepreneurship purposes have a significant influence in enhancing ALP in the eastern areas, plains areas and non-agricultural strong areas. The findings of this paper not only provide an important real-world basis for the government to further support migrant workers returning home for entrepreneurship but also provide useful policy insights for the modernization and development of agriculture and rural areas. [ABSTRACT FROM AUTHOR]

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

Rural environmental governance serves as the foundational pillar of national governance, intricately linked to the modernization of agriculture and rural areas, as well as the cultivation of rural culture. Furthermore, it plays a pivotal role in fostering industrial prosperity, ensuring effective governance, and elevating living standards. This study employs a range of sophisticated software tools, including VOSviewer, Bibliometrix, and ArcGIS, among others, to analyze and construct a comprehensive knowledge map encompassing 3370 research articles focused on rural environmental governance, sourced from the CNKI (China National Knowledge Infrastructure) and WOS (Web of Science) databases. This analytical endeavor delves into research themes, key areas of interest, developmental milestones, and emerging trends within the realm of rural environmental governance, thereby shedding light on the overarching trajectory of research endeavors in this domain within China. The findings reveal distinct phases in the evolution of research trends in the Chinese rural environmental governance literature, encompassing four distinct epochs: a period of sluggish growth (2002–2009), a phase of accelerated expansion (2009–2014), a span marked by stable and rapid advancement (2014–2021), and a recent period characterized by fluctuating decline (2021–2022). Moreover, the analysis highlights a burgeoning diversity in the distribution of relevant research disciplines. However, it is noteworthy that there exists a scarcity of highly prolific authors, and the formation of cohesive research teams has encountered challenges, underscoring significant deficiencies in research collaboration and academic discourse. As a prospective direction, future research should be tailored to the unique natural resources and socio-human characteristics intrinsic to different regions. It should also emphasize interdisciplinary and multidisciplinary investigations, with a focal point on economically disadvantaged regions situated in the central and western parts of the nation. Such an approach aims to bolster the overall caliber of domestic research endeavors in the field of rural environmental governance. [ABSTRACT FROM AUTHOR]

In the era of the digital economy, rural e-commerce has emerged as a compelling catalyst for driving the modernization of agriculture and rural areas. It has given rise to notable exemplars such as "Taobao villages" and "Taobao towns", paving the way for scalable pathways toward rural revitalization. The transition from Taobao villages to Taobao towns signifies the evolution of rural e-commerce from scattered nodes to interconnected networks, reflecting a significant development trend. While existing studies have primarily focused on the spatiotemporal patterns of Taobao villages, limited research has been conducted on the spatiotemporal characteristics and the underlying evolution mechanism of Taobao towns. To fill the research gap, this study investigates the spatial-temporal evolution of Taobao towns employing geospatial methods and identifies key contributing factors using GeoDetector in China. The results show that: (1) The coverage of Taobao towns expands year by year in all provinces and cities, showing a "T-shaped and three-center" spatial pattern with a decreasing gradient from southeast to northwest. (2) Taobao towns in the central area are developing rapidly and are becoming an emerging development center. (3) The development of Taobao towns is the result of a combination of multiple factors, including regional economic base, social environment, market atmosphere, transportation conditions, infrastructure construction, etc. The study can provide Chinese experience for rural development and transformation. [ABSTRACT FROM AUTHOR]

Agricultural production contributes to the increase in global carbon emissions. It is crucial to improve output and reduce carbon emissions in the context of agricultural modernization, for which improved carbon emission efficiency is key. However, the role of agricultural modernization in promoting agricultural carbon emission efficiency is not clear. Hence, the aim of this article is to analyze the spatiotemporal evolution of agricultural modernization and agricultural carbon emission efficiency in China from 2000 to 2019 and to reveal the relationship between agricultural modernization and agricultural carbon emission efficiency. The results showed that (1) in China, the overall level of agricultural modernization has been steadily increasing, and the regional differences are widening, showing a spatial pattern characterized by a gradual decline from the eastern and central regions to the western region. (2) China's agricultural carbon emission efficiency continues to grow but has not achieved a data envelopment analysis (DEA) effect, with the eastern and western regions having higher agricultural carbon efficiency than the central region. The regional differences first narrow and then expand. (3) Agricultural modernization significantly promotes agricultural carbon emission efficiency in both the province and the neighboring provinces, and the interprovincial spillover effect exceeds the direct effect within the province. A nonlinear correlation exists between agricultural modernization and agricultural carbon emission efficiency. [ABSTRACT FROM AUTHOR]

The act of land transfer in rural areas is an important decision-making mechanism for farmers, to enhance resource allocation efficiency and promote capital mobility, and this act is of strategic importance in promoting the level of agricultural scale and mechanization, land system change, and, thus, the sustainable development of livelihoods and production in China. This study aims to explore farmers' decision-making mechanisms in the process of land transfer in rural areas, by constructing a theoretical framework. Structural equation modeling was used, based on data from a survey of rural families in the Liaoning Province area of Northeastern China. The main findings are as follows: (1) The seven types of exogenous latent variables, including environmental vulnerability, policy, and five main livelihood assets (natural capital, physical capital, financial capital, human capital, and social capital), are intermediary in farmers' land transfer behavior, which then positively affect farmers' livelihood outcomes. (2) Among the exogenous latent variables affecting farmers' land transfer, human assets have the most significant positive effect, followed by social assets and physical assets, family labor force share, frequency of work information exchange, and number of production tools, greatly affect the corresponding variable. (3) Natural assets play the most important role and have a negative effect on farmers' land transfer decision; contracted area of land per family is the greatest impacted measurable variable of this. The results of the study suggest that the government should strengthen skills training for farmers, improve the land transfer policy system, and provide appropriate subsidies in a regionally targeted manner. Thus, it can promote the transformation of Chinese-style agricultural modernization and achieve rural revitalization. [ABSTRACT FROM AUTHOR]

Exploring the impact of economic modernization on carbon balance is an essential endeavor to achieve carbon neutrality and combat climate change. However, the spatial impact of economic modernization on carbon balance remains ambiguous. Therefore, this study aims to explore the spatial spillover effects of agricultural modernization, industrialization, and urbanization on carbon balance during the economic modernization process in China, taking 30 provinces and cities in China as examples from 2010 to 2021. This study utilizes the spatial Durbin model to derive the following results: In the past decade, the carbon balance ratio has shown a fluctuating and decreasing dynamic evolution trend. There is an increase in regions with serious carbon deficits. Further investigation into the spatial spillover effect of carbon balance unveils that for every 1% increase in the carbon balance ratio of a province, neighboring provinces experience a decrease of 0.833%. Additionally, the spatial spillover effects of the three modernizations in China on the carbon balance ratio behave differently. Agricultural modernization and urbanization demonstrate negative spatial spillover effects on the carbon balance in neighboring regions, while industrialization exerts a significant positive spatial spillover effect on the carbon balance of neighboring regions. Regarding control variables, the level of innovation solely contributes to local carbon balance realization without generating a trickle-down effect, whereas infrastructure development operates inversely. At the same time, there are differences in the spatial effects of agricultural modernization and industrialization on the carbon balance between the eastern region and the central and western regions. The study underscores the importance of economic modernization and development processes focusing on fostering synergistic growth between economic and environmental benefits within both local and neighboring areas. [ABSTRACT FROM AUTHOR]