Search Results (52)

A digital infrastructure has the potential to mitigate the digital exclusion in rural areas, offering a pathway to alleviate the financial vulnerability of rural households. This paper investigates the impact of the Broadband China pilot policy—an important government initiative—on rural household financial vulnerability, utilizing data from five waves of the China family panel studies (CFPS) spanning from 2012 to 2020. By leveraging the quasi-natural experiment provided by the Broadband China initiative, this study makes a novel contribution to understanding how a digital infrastructure affects financial sustainability in rural households. The findings show that the Broadband China pilot policy significantly reduces rural household financial vulnerability, with particularly strong effects on female-headed households, spousal-headed households, and those in regions with a limited traditional or advanced digital finance infrastructure. Further analysis reveals that a digital infrastructure enhances rural household financial resilience by increasing land transfer opportunities through an ‘income effect’ and by fostering non-farm employment and financial literacy through a ‘security effect’. This paper contributes to the literature by shedding light on the specific mechanisms through which a digital infrastructure enhances the financial sustainability of rural households and offers valuable insights into policies aimed at bridging the rural–urban divide. Full article

The vast urban–rural income gap (URIG) is a global challenge, particularly severe in underdeveloped regions. While the income-generating effects of transportation improvements are widely accepted, their income distribution effects remain controversial. This study focuses on national poverty-alleviated counties in central and western China, using a mixed-methods approach to quantitatively test the non-linear relationship between highway improvements and the URIG and qualitatively analyze the reasons behind the threshold effects of regional economic development levels. The main findings are as follows: first, regional economic development levels exhibit a double-threshold effect, with the impact of highway improvements shifting from widening to narrowing the URIG after surpassing the second thresholds. Second, inter-regional highways have a limited impact on narrowing the URIG, while intra-regional highways significantly reduce the URIG once crossing their thresholds, reflecting the distinct functions of different highway classes. Third, the heterogeneity analysis reveals that the impact of highway improvements on the URIG varies depending on the external environment surrounding residents, including both the indirect and direct environments. Fourth, from the perspective of rural labor transfer to non-farm employment, regional economic development levels create threshold effects in two ways: for local employment, they influence non-agricultural industry growth and job distribution following highway improvements, affecting rural laborers’ participation; for migrant employment, they impact human capital investment, influencing rural laborers’ skills and wage returns after highway improvements. Full article

In order to contribute to the body of knowledge on sustainable poverty reduction by exploring the relationship between rural and structural transformations and rural poverty incidence in Asian developing countries, this paper selected China, the Philippines, and Vietnam as case studies. Based on a comparison with the provincial data from those three countries, both the graphic and regression analysis suggest that structural and rural transformations matter in rural poverty reduction in these three countries. There is strong evidence showing that raising the share of non-agricultural GDP and the share of rural off-farm employment significantly contributes to rural poverty reduction in all three countries. More importantly, with the expansion of the non-farm sectors in both urban and rural areas, high-value agricultural share has a statistically significant and negative correlation with rural poverty in China and Vietnam over time, while such a negative correlation is much weaker or even does not exist in the Philippines. This paper further concludes with several implications for policymakers to promote inclusive structural and rural transformations. Full article

This paper looks into the impact of China’s new rural land reform, the three rights separation policy (TRSP), on Chinese farmers’ income. Based on data collected from 360 rural households in Anhui Province, China, 2021, this paper constructed the influence pathways of the TRSP on household income and estimated the effects along different pathways using the structural equation model (SEM) model. It showed that through expanding the planting scale and promoting resource-use efficiency, the new land tenure system can indirectly increase transfer-in household income. However, the TRSP has a significant negative direct effect on transfer-out households’ income, and only a slight impact on transferring rural labor to other industries or relaxing the liquidity constraint. In short, the TRSP’s effect on income gains is more prominent in transfer-in households than transfer-out ones, which in the long run would lead to an increased income gap, more so if transfer-out households lack easy access to non-farm employment. Our findings suggest that public authorities should respect farmers’ autonomy in land transfer decisions and pay special attention to labor transfer in poverty alleviation. Meanwhile, widening income disparities among different groups should be heeded while implementing local governments’ service roles. Full article

In the context of China’s population urbanization, the quality and pattern of farmers’ livelihoods are undergoing significant changes. Reducing emissions and sequestering carbon in agriculture is a crucial pathway for China to achieve its “dual carbon” goals. How to balance low-carbon agricultural development with the changing livelihood patterns of farmers has become an important issue in China’s agricultural and rural development. This study examines the impact of farmers’ livelihoods on agricultural carbon emission efficiency and explores regional disparities based on panel data from 31 provinces and municipalities in China from 2002 to 2020. The findings are as follows: (1) The quality of farmers’ livelihoods in China is conducive to an improvement in agricultural carbon emission efficiency (ACEE). (2) From a national perspective, the higher the livelihood of non-farm employment in the region, the higher the agricultural carbon emission efficiency. The livelihood of agricultural production has a significantly negative correlation with agricultural carbon emission efficiency. (3) Improvement in the quality of farmers’ livelihoods (QFL) in the eastern and western regions has a significant positive impact on the efficiency of agricultural carbon emissions, and the impact is larger in the western region, while there is no statistically significant relationship in the central region. The reason for this difference may be that the migration of agricultural labor from the western region to the eastern region and the local urban employment of eastern farmers have led to this, while the migration and local urban employment of agricultural labor in the central region is relatively limited. This paper provides policy insights into promoting both farmers’ income growth and low-carbon agricultural production in a coordinated manner. Full article

Rural digitalization not only constitutes the strategic orientation of rural revitalization but also serves as a potent means for augmenting farmers’ income. This study regards the implementation of China’s digital village pilot policy as a quasi-natural experiment. Based on the panel data of Chinese counties spanning from 2017 to 2022, it employs a multi-period difference-in-differences model to investigate the influence of rural digitalization on the coordinated development of urban and rural areas from the perspective of the income gap. The findings indicate that the policy has significantly reduced the urban–rural income gap. Mechanism analysis reveals that this reduction is achieved through enhancing county innovation capacity, accelerating agricultural digitization, promoting advanced industrial structure, and expanding non-farm employment. Heterogeneity analyses reveal that the policy has a greater impact in regions with less robust digital infrastructure, higher levels of community service, and stronger financial development. Consequently, it is indispensable to enhance the digital literacy of farmers, accelerate the digitalization of agriculture and the upgrading of industrial institutions, promote the balanced development of digital villages in various regions, and fully exert the guiding and facilitating role of community service levels. Full article

The income effect of rice–crayfish co-culture technology (RCT) is directly related to rate of adoption of farmers and the process of China’s green development of agriculture. The aim of this study is to explore the income effect and income growth mechanism of rice–crayfish co-culture technology from the perspective of continuous adoption. With the treatment effect model (TEM), this paper empirically analyzes the income effect and income-generating mechanisms of RCT using field survey data from 736 farmers in the Jianghan Plain. As a result of this study, it was discovered that RCT will increase farmers’ net agricultural income by RMB 83,430 if they continue to adopt it. Further examinations indicate that the optimal adoption period for RCT is four and a half years. Additionally, it has also been shown that non-farm employment positively moderates the relationship between continuous adoption of RCT and net agricultural income. Farmers who participate in non-farm employment and continue to adopt the RCT will experience an increase in net agricultural income by RMB 104,510. Therefore, our results suggest that it is necessary to encourage farmers to continuously adopt RCT and actively participate in non-farm employment to enhance the income effect of RCT. Full article

The pivotal role of digital infrastructure as hardware support for fostering economic efficiency in the digital economy is widely acknowledged. However, it begs the question, can the development of digital infrastructure also advance social equity, particularly concerning horizontal equity, as exemplified by the quality of non-farm employment among rural laborers, which serves as a barometer for the fairness and inclusivity of the social opportunity landscape? This article delves into the ramifications of digital infrastructure development on the quality of non-farm employment for rural laborers. Initially, it conducts a theoretical exploration of the impact and mechanisms of digital infrastructure construction on non-farm employment quality within rural labor sectors, drawing upon the Todaro model framework and existing scholarly discourse. Subsequently, by integrating data on digital infrastructure construction at the prefecture-level city level with four periods of the China Family Panel Studies (CFPS) data spanning 2014 to 2020, employing various endogenous treatment methods including two-way fixed effects, sensitivity analysis, and instrumental variable techniques, it empirically tests and analyzes the internal mechanisms. The findings reveal that digital infrastructure construction plays a beneficial role in enhancing the quality of non-farm employment for rural laborers, encompassing both subjective perceptions and objective circumstances of non-farm work. Notably, it is observed that digital infrastructure construction significantly fosters improvements in the quality of informal employment among rural laborers, with notable disparities across gender and skill levels. This discovery exerts a positive influence on advancing the sustainable development of the labor market. Specifically, female rural laborers necessitate higher skill proficiency and educational attainment to attain commensurate benefits as their male counterparts. Moreover, caution is warranted regarding the potential for digital infrastructure construction to exacerbate existing power differentials and widen socioeconomic disparities through the perpetuation of the digital divide. Full article

Swidden agriculture has been practiced historically by communities in SE Asia, but as the population grows and other land uses expand, the areas available to swidden farmers are decreasing. Government environmental policies discriminate against swidden farming. Opportunities for off-farm employment are increasing, and this is attracting young people to abandon swidden farming. We explored the link between access to land and migration in three forest landscapes in Indonesia, Lao, and Vietnam. We analyzed the impacts of the push factors within the swidden systems and the pull factors from non-agricultural activities on young people’s decisions to migrate or continue in swidden agriculture. We found that stable cash incomes from non-farm jobs were a major driver of young people’s out-migration. Other factors included the desire to have broader experience, better education, as well as peer influences. We also found that land was becoming less accessible to young swidden farmers, but this was not a major reason to migrate as suggested by many studies. Government and private sector investments in plantations, mining, or infrastructure are reducing land availability. Government restrictions on land clearing also reduce areas available for swidden farming. Full article

Agricultural employment in advanced economies has been suggestively described as a “short and step” pyramid with only limited opportunities for workers to climb to higher positions, especially when they belong to the most vulnerable categories, such as migrants. The presence of poor jobs and living conditions for temporary agricultural workers reported by mass media, trade unions, NGOs, and international observers contrasts dramatically with the idea of a modern and thriving sector, as the Italian agricultural sector should be, and it represents a challenge for the social concerns that have been alongside environmental ones in the definition of sustainability since the Brundtland Report released in 1987 by the World Commission on Environment and Development (WCED). Even mechanisation does not necessarily facilitate better working conditions. In fact, where the workforce is largely replaced by machineries, the remaining opportunities for paid workers are mainly for unskilled, physically demanding, and seasonal jobs. This has brought about the so-called “paradox of prosperity”, where the gap between farm and nonfarm workers in economically advanced countries has widened in terms of wages, benefits, and prospects for upward mobility. This in turn triggers a vicious circle with a structural lack of available workforce for the sector, which has been increasingly provided by migrants with very little bargaining power. On the other hand, the adoption of new technologies and digitalisation in agriculture is leading to an increasing demand for skilled workers, which often remains uncovered because of the low conditions offered. Against this background, the aim of our work is twofold. First, we characterise the role of the foreign workforce in relation to the structural changes in Italian agriculture and considering territorial differences. Second, we examine the main policy instruments to facilitate recruitment and tackle undeclared work and more specifically the Quality Agricultural Work Network (Rete del lavoro agricolo di qualità) launched in Italy in 2016 to tackle undeclared work and exploitative labour. We do so by conducting a literature review and semi-structured qualitative interviews with 16 farmers in Italy carried out in 2022 within the project Rural Social ACT funded by the Asylum, Migration, and Integration Fund (2021–2027). The results show that even though foreign workers are a key resource for agriculture in Italy, there remain severe recruitment issues and segregation in low-skilled and precarious jobs. Overall, it is necessary to improve the awareness of the key role of work in agriculture and to strengthen the effectiveness of tools to enhance the visibility of compliant farms. So far (January 2024), only 6600 farms have joined the Quality Agricultural Work Network, with an overall modest enthusiasm from the farmers interviewed about its current effectiveness. Other instruments are explored such as employee sharing contracts, and there clearly emerges a need for public support of professional training through the Common Agricultural Policy to improve both the bargaining power of foreign workers and the productivity of the sector. Full article

Rural residents in China are still at risk of malnutrition, and increasing dietary diversity is crucial to improving their health. This study empirically analyzed the impact of non-farm employment on the dietary diversity of rural left-behind family members based on the China Land Economy Survey (CLES) 2020–2021 panel data at the farm and village levels. Dietary diversity was measured using the dietary diversity score (DDS) and the Chinese Food Guide Pagoda Score (CFGPS). The empirical results show that non-farm employment significantly enhances the dietary diversity of rural left-behind household members, including animal food diversity and plant food diversity. This result verifies the altruism phenomenon of non-farm employment in family diet. Mechanism analysis shows that non-farm employment enhances the dietary diversity of rural left-behind family members by increasing the level of family income, Internet accessibility, and family education. Heterogeneity analysis shows that non-farm employment does not enhance the dietary diversity of rural empty nesters and even has a negative impact. This reminds us that the nutritional health of rural empty nesters needs attention in the context of rapid urbanization and aging. Full article

With the growing trend of arable land abandonment, the potential threat to the security of the food supply has sparked public concern. In order to examine the impact of non-agricultural employment on food security, this study builds linear regression models for research based on panel data from counties in China’s old revolutionary base areas. The empirical results show that, although the impact of non-agricultural employment on total grain production is not significant, it has a significant negative impact on both area and productivity, which indicates that non-agricultural employment poses a challenge to food security. In addition, the study examines the potential benefits of non-farm employment on two aspects of food security, including intensive management and the increase of new business entities. Non-farm employment can also significantly promote intensive management, thereby reducing the food-security challenges brought by non-farm employment, while the benefits of new management entities are insignificant. These findings contribute to the optimization of economic policies related to agricultural development, including exploring land property rights reform systems to promote land transfer, strengthening labor quality improvement in the agricultural sector, and formulating supporting policies to stabilize non-agricultural employment in accordance with local conditions. Full article

Income increase is an important way to achieve comprehensive human development and to escape from poverty, and the growing aging problem in rural China poses a challenge to farm household income increase. In order to gain a deeper understanding of the impact of China’s rural old-age burden on farm household income, this paper empirically examines the impact and mechanism of household old-age burden on farm household income based on the data from the 2023 micro-farm field survey of China’s Henan Province, utilizing linear regression modeling and mediation effect modeling, filling the research gaps in the related fields. The results of the study found that, firstly, family old-age burden has a significant impact on the income of farm households, and that the heavier the family old-age burden, the lower the total income of farm households. Secondly, from the results of the heterogeneity of the impact, the poorer the health condition, the greater the negative impact of family old-age burden on farm household income. Old-age burden has a greater impact on high-income farm households than on low-income farm households, and old-age burden has a significant impact on the income of part-time farm households, while the impact is not significant on purely farm and non-farm households. Thirdly, the heavier the household old-age burden, the more unfavorable it is to the non-farm employment of farm households, thus affecting the income capacity of farm households. Finally, corresponding countermeasures and recommendations are put forward in three areas, namely, the continuous improvement of the social old-age security system, the realization of the function of the social old-age mechanism as an old-age pocket for key special groups, and the improvement of the social flexible employment mechanism. Full article

Non-grain agricultural land use (NGALU) could be an alternative to payments for ecosystem services (PES) to achieve ecosystem benefits, given their joint contribution to forest transition. Unraveling the correlation between PES and NGALU can enhance cost-effective decisions. While farmland abandonment and non-grain cash crops (NGCCs) plantation are two main manifestations of NGALU, previous studies have primarily assessed the effects of PES on farmland abandonment. Little is known about the effects of PES on NGCC planting. This study evaluated the effects of China’s two nationwide PES programs (i.e., the Grain to Green Program, GTGP, and the Ecological Welfare Forest Program, EWFP) on NGALU in the Black River Basin of Shaanxi province. The study found a wide adoption of NGALU, with 52% of households adopting NGALU. The total area of NGALU is more than half of the afforested area through the GTGP. A quarter of the NGALU area is abandoned farmland, while the remaining NGALU area is planted with NGCCs. The two PES programs did not have effects on NGCC planting, but reduced farmland abandonment. Engagement in labor migration and local non-farm employment increased NGALU, while livestock breeding and farmland area reduced NGALU. Furthermore, the large area and unfavorable geographical conditions of farmland parcels promoted NGALU. These results highlight the important implications of leveraging NGALU to boost ecological gains from conservation investments. Full article

As a major ecological project with the largest investment scale, strongest policy support, most extensive involvement, and the highest level of public participation in the world, the Sloping Land Conversion Program (SLCP) implemented by China is important for protecting the ecological environment and achieving long-term stability. Consolidating the SLCP’s achievements is key to its sustainable operation. Based on a sample of 612 farmers in Guizhou Province, this paper discusses the impact of value perception and government regulation on farmers’ behavior in terms of their continued SLCP maintenance. The results show that (1) value perception and government regulation are important factors affecting the sustainability of farmers’ behavior of continuing to maintain the SLCP. Perceived economic value and perceived cost input, as dimensions of value perception, and policy publicity and economic incentives, as dimensions of government regulation, have important influences on farmers’ continued SLCP maintenance. (2) There are complementary effects between value perception and government regulation. Policy publicity and perceived ecological value, technical guidance and perceived economic and social value, and economic incentives and perceived economic value can have complementary effects on farmers’ continued maintenance behavior. (3) Value perception and government regulation heterogeneously impact different groups of farmers. In terms of intergenerational differences, perceived cost inputs and punitive measures significantly affect only new-generation farmers. In terms of farmer type, perceived economic value does not significantly affect nonfarmers; perceived cost input significantly affects part-time farmers engaged mainly in off-farm employment, and technical guidance and economic incentives have the greatest impact on pure farmers. In terms of tree species, perceived cost input and policy publicity significantly impact only ecological forest farmers, while technical guidance has a greater impact on economic forest farmers. The findings provide an in-depth understanding of the mechanism underlying farmers’ behavior in maintaining the SLCP and offer a reference for promoting the goals of forestry ecological policies against the background of rural revitalization and green development. Full article