Search Results (37)

This paper examines the status and rural transformation trends in the Philippines. Using secondary data covering 1988 to 2023, the levels of rural transformation across the country’s sixteen regions were analyzed based on three key indicators: the share of gross value added in high-value agriculture to the total GDP of agriculture, forestry and fishery, share of off-farm employment to the total rural labor force, and agricultural labor productivity. Through a panel regression analysis, this study also determined how selected institutional reforms, policies, and investments (IPIs) influenced the rural transformation that happened in the regions. The findings reveal that rural transformation in the Philippines has been generally slow because of the uneven progress across its local regions, with only three out of the sixteen regions reaching a high level of rural transformation from 1988 to 2023 and two regions remaining at low level of transformation, while the rest are still moving from a slow to moderate level of transformation. This study highlights the critical role of IPIs in driving rural transformation, demonstrating that their effects vary depending on the transformation stage of each region. These results underscore the need to properly identify, logically sequence, and efficiently integrate IPI interventions to address the transformation challenges effectively. Beyond its Philippine context, this study provides insights applicable to other developing countries facing similar rural transformation challenges, offering a replicable methodology for analyzing the transformation and guiding context-specific strategies. Full article

In the context of China’s large country with small farmers, agricultural socialized services are regarded as an important way for small farmers to organically connect with modern agriculture and provide ideas for improving agricultural green total factor productivity (AGTFP). Based on data from 1066 farmers from the China Land Economy Survey (CLES), this paper takes net carbon sink as the environmental output variable, adopts the Cobb–Douglas production function for stochastic frontier method estimation, and measures the AGTFP based on the stochastic frontier analysis method with an output-oriented distance function. At the same time, through the construction of intermediary effect and regulatory effect models, it empirically analyzes the impact and mechanism of agricultural socialized services on farmers’ AGTFP from the perspective of factor allocation. The study found that agricultural socialized services not only significantly promote AGTFP, but also that the effect of AGTFP improvement is more significant as the degree of participation in agricultural socialized services increases. The main results have passed a series of robustness tests. Further research found that agricultural socialized services promote the improvement of AGTFP through the intermediary role of improving the scale of farmland and the level of agricultural green technology adoption. Off-farm employment of the rural labor force has a positive regulatory effect between agricultural socialized services and AGTFP. Therefore, it is recommended to further play the role of agricultural socialized services in optimizing the allocation of production factors and to motivate agricultural socialized service organizations to provide multiple green production services for farmers through policy support or subsidies, enhance the service capacity of agricultural socialized service organizations, and provide precise services by fully considering the differences in the endowment of production factors among farmers, as well as take multiple measures and make solid and steady progress in promoting the sustainable development of agriculture. Full article

The effective allocation of labor and cultivated land resources to ensure food security is a global concern. Understanding the relationship between rural labor off-farm employment and the eco-efficiency of cultivated land use (ECLU) is critical, yet current research in this area remains insufficient. This study explores the dynamics between off-farm employment and ECLU using the North China Plain as a case study, analyzing panel data from 2001 to 2020 through spatial econometric models. The findings reveal significant temporal expansion and spatial differentiation in off-farm employment, with growth rates gradually slowing and spatial disparities diminishing. The average ECLU initially declined from 2001 to 2003, followed by fluctuating increases, with a notable acceleration in growth after 2017. A “U-shaped” relationship between off-farm employment and ECLU was identified, with a turning point at an off-farm employment ratio of 40.73%, occurring around 2003–2004 based on regional averages. Before this threshold, off-farm employment negatively impacted ECLU, while beyond this point, the impact became positive. The study also observed significant spatial spillover effects of off-farm employment on ECLU in the North China Plain. These findings underscore the complex interplay between rural labor migration and agricultural productivity. To maximize the benefits of off-farm employment, policies should encourage the reinvestment of income into sustainable agricultural practices. Furthermore, the significant spatial spillover effects call for enhanced regional coordination and tailored policy interventions to optimize labor allocation and improve ECLU. Full article

With the increasing occurrence of labor migration (LM), off-farm employment has emerged as a crucial means to augment the income of agricultural households, bridge the urban-rural divide, and achieve rural regeneration. This study utilized a multiple linear regression model and quantile regression model to examine the effect of LM location on rural households’ income. The analysis is based on research data from Jiangxi Province in 2018. The outcomes reveal that both intra-country LM and outside-of-county LM could make a substantial contribution to the increase of overall household income. However, the coefficient of impact for outside-of-county LM is greater. The findings of this study successfully passed the rigorous tests for robustness and endogeneity. Furthermore, the quantile regression analysis indicates that the greatest income-generating impact of intra-county LM occurred at the 90% quantile, whereas the highest income-generating impact of outside-of-county LM appeared at the 75% quantile. The study aims to determine if there is a variation in the income impact of LM in samples with distinct features. Specifically, it investigated the scale of forestland management and the LM of the household head. The results show that the promotion effect of intra-county LM on the total income of rural households was only observed in the sample group with a forestland area larger than 50 mu. Additionally, outside-of-county LM could only promote the growth of the total income of rural households in the sample group in which the head of household has not experienced labor migration. Hence, to enhance the growth of income for rural households amidst China’s urbanization, policymakers should facilitate the controlled migration of labor from rural areas to urban areas while also encouraging the migration of labor within rural areas. Full article

While the status of rural women in the family has undergone changes, rural land transfer has brought about transformations in both rural production and daily life. This paper adopts the perspective of rural land transfer, follows the research track of Marx and Engels’s theory of women, and based on the theoretical research of the changes in the status of modern women in the family, constructs a framework for analyzing the status of women in rural families. Drawing on the data from the 2014 China Family Panel Studies (CFPS2014), this article utilizes OLS (Ordinary Least Square) and ordered logit models to explore the impact of rural land transfer on the status of women in rural households. The study reveals the following findings: Initially, rural land transfer-out improves women’s household decision-making power and enhances the status of women in rural households. The reliability of these results is further confirmed through robustness tests and endogeneity discussions. Secondly, the heterogeneity analysis indicates that the transfer of agricultural land promotes the status of women in rural households in nonmajor grain-producing areas more than women in major grain-producing areas. The reason is that women in major grain-producing areas lack off-farm employment opportunities compared with women in non-major grain-producing areas and the main grain producing areas may have a strong patriarchal cultural atmosphere. Thirdly, the analysis of mechanisms indicates that rural land transfer-out improves the status of women in rural households by augmenting their independent income. Conversely, rural land transfer-in increases women’s private labor and decreases their independent income without promoting their family status. The study sheds light on rural women’s empowerment, the improvement of intra-household bargaining power, and the comprehensive development of rural women. The conclusion of this paper provides a new understanding and some recommendations for us to explore the change of rural women’s status in the family. Full article

Land transfer is an important means to achieve agricultural scale production and improve land use efficiency, as well as an effective way to solve food security issues. Discussing the mechanism of how the multilevel urban centers affect rural farmland transfer can help understand the spatial heterogeneity characteristics of farmland transfer. It is helpful to provide more policy suggestions from the perspective of urban-rural spatial relations and achieve the goal of agricultural and rural modernization. Taking Tai’an prefecture as an example, this study examines the impact of multilevel urban centers on farmland transfer by mediating effect model. The results show that: (1) Distances to urban centers are negatively associated with rural farmland transfer rates, with lower rates farther from urban centers. There are two mechanisms about how the distances to urban centers influence farmland transfer: the first is that the farther a village is from urban centers, the lower the value of its farmland, which leads to lower benefits to those who transferring farmland; the second is that lower opportunity costs of agricultural labor in the villages which farther from cities increase household reliance on farmland, reducing the rates of transferring farmland out. (2) Multilevel centers differentially influence transfers. The higher-level prefectural centers affect farmland transfer through planting structure, while the lower-level county centers affect farmland transfer through off-farm employment. Additionally, the influence of county centers is less stable due to road accessibility. (3) It is critical to additional policy support to both towns and remote villages. Particular focus should be placed on increasing the non-agricultural industries and expanding the agricultural markets of towns. It is also important to enhance infrastructure development to encourage farmland transfer in remote villages. Full article

Promoting ratoon rice is a critical measure for ensuring food security in China. Understanding the mechanism underlying farmers’ decision-making involving ratoon rice production may contribute to the design and implementation of extension policies. This study examined the impact of off-farm employment and outsourced machinery services on farmers’ ratoon rice production behavior. We used a representative household survey of 1752 rice farmers in Hubei province in central China and a multinomial endogenous treatment effect model to address potential self-selection biases from both observable and unobservable factors. Our estimates suggest that the probability of ratoon rice production decreases by 17.2% for farmers with off-farm employment, while the probability of ratoon rice production increases by 78.9% and 57% for farmers with outsourced machinery services and those with simultaneous off-farm employment and outsourced machinery services, respectively. Moreover, we found that outsourced machinery services can mitigate the negative impact of agricultural labor aging and feminization on ratoon rice production to some extent. Outsourced machinery services have regional heterogeneity effects as farmers in non-plain areas are more likely to engage in ratoon rice production. Full article

Non-timber forest product plantations (NTFP plantations), also known as “economic forests” in China, refer to forest plantations cultivated for the production of non-timber products such as fruits, nuts, oils, seasonings, and medicinal materials. With a rapid increase in the total area in the past two decades, NTFP plantations have become an important type of forestland use in China. The shift of agricultural labor to the non-agricultural sector caused by rising salaries in China will inevitably have a great impact on land use, forestry, and agricultural production. To understand the effects of off-farm employment on the development of NTFP plantations in China, a total of 709 valid household questionnaires from Sichuan and Shaanxi provinces were collected. Heckman’s two-stage model was employed in the empirical analysis. The results of the study show that off-farm employment has a significant positive effect on both the probability that a household has planted NTFP plantations and the plantation area. Households engaged in off-farm employment would prefer to plant NTFP plantations. Moreover, the higher the degree of participation in off-farm employment, the more likely households are to choose to plant NTFP plantations. The area of NTFP plantations would increase with the increase in off-farm employment degrees. Besides, the age and education level of the household head show a positive effect on the NTFP plantation planting. The implication of the results is that with a continuing increase in the proportion of off-farm employment, NTFP plantation cultivation could also continue to expand. Funds are still an important constraint for households to choose to plant NTFP plantations. Therefore, if policymakers want to promote the development of NTFP plantations on collectively owned forestland, they should first resolve households’ financial constraints. Full article

The practical implementation of the employment promotion effect of the digital economy is closely linked to rural laborers’ digital skills (DS). Therefore, this study uses the Mprobit model to empirically test the impact of DS on rural labor employment choices. The results show that: (1) the acquisition of DS by the rural labor force significantly increases the rate of off-farm employment and entrepreneurship but has no significant effect on farm employment, with work skills having the most significant positive impact on the rural labor force off-farm employment and online business skills having the most significant positive impact on rural labor force entrepreneurship. (2) The mechanism test reveals that DS influences the employment choices of the rural labor force by alleviating the information access constraint and financing constraints faced by rural labor. (3) Heterogeneity analysis shows that males and rural laborers in rich regions can benefit from entrepreneurship. In contrast, females and low-skilled and rural laborers in middle and poor regions can benefit more from off-farm employment. Our findings provide empirical evidence on effectively cultivating DS to increase the diversity of employment choices for the rural workforce and highlight the importance of improving DS. Full article

In certain low- and middle-income countries, information asymmetry, human capital damage and long-term economic decline are longstanding problems in health-related poverty alleviation. Notably, China’s Targeted Poverty Alleviation program sheds new light on resolving these problems. Based on existing paradigms in the poverty research area, the purpose of this paper is to summarize and explore the roles of Chinese support policies in poor rural households coping with health shocks. Using a questionnaire survey of 4635 poor rural households in a municipality in Southwest China conducted from December 2018 to January 2019, this study examines the relationships between health shocks, human capital, support policies, and per capita household income. The results show that (1) apart from safety nets and cargo nets, monitoring nets are formed in China’s poverty alleviation practice, which could resolve the problem of information asymmetry. (2) Health shocks do not cause poor rural households to fall back into poverty. The reason for this is that safety net and cargo net policies are provided to relevant poor rural households by considering household human capital endowments and the information received from cargo nets. Through this method, patients can obtain effective support and caregivers can obtain off-farm employment opportunities. Thus, the ability of poor rural household human capital to resist health shocks is enhanced. (3) With the support of these policies, the negative effects of dependent family members and agricultural laborers on per capita household income are reversed. Thus, the long-term increase in poor rural household income is also ensured. These findings hold great value for other developing countries coping with health shocks and formulating anti-poverty policies. Full article

A study linking the two economic and social phenomena of rural labor force migration and energy transition can help analyze the underlying causes of rural “Energy Poverty”. However, how off-farm employment affects household low-carbon energy consumption and its potential mechanisms requires further research. Using 1351 sampled rural households from the “Rural Energy, Population Transfer and Well-being” survey in 2018 and 2021 to explore response mechanisms through which off-farm employment can influence low-carbon energy intensity. Utilizing the multivariate regression, Sobel test, and moderating effect test, the results demonstrate that off-farm employment, including short-term and long-term off-farm employment, significantly increases the intensity of low-carbon energy use among rural households. Specifically, long-term off-farm employment tends to have a greater positive contribution to the low-carbon energy intensity than short-term off-farm employment. Furthermore, off-farm employment can affect household low-carbon energy intensity through the total income, and effect of the surrounding people in the off-farm employment process also increases their consumption intensity. The research reveals that the rural energy revolution under the constraints of “Carbon Neutral” and “Carbon Peak” should relate to the off-farm development of rural households to achieve “Precise Energy Poverty Alleviation”. Full article

This paper examines the processes of agricultural transformation and their impacts within six rice farming communities in Cambodia. For this, we explored four drivers of agricultural transformation: (1) market integration, (2) modern technologies, (3) household assets, and (4) institutional-policy processes. The paper employs qualitative methods, using document analysis on the policy literature and datasets, field observations, focus groups, and key informant interviews in six rice farming communities in the Stung Chrey Bak Commune, Kampong Chhnang Province. Herein, we analyze the processes of agricultural transformation that shape farmer livelihoods and contribute to the literature regarding the dynamic and uneven politics of implementing the green revolution. Our findings show that agricultural transformation in the six rice farming communities has had mixed results. While the transitions have improved household income, they have also led to insecurity, with potential impacts on the long-term sustainability of the rice-production sector. These include higher input costs, fluctuating rice revenues, and environmental impacts from increased chemical use. We show that greater support is needed in these farming communities in order to achieve sustainable rice production going forward, particularly in light of climate change, indebtedness, and the migration of young labor to off-farm employment, leading to aging farmer populations. Full article

Under the background of carbon peak and carbon neutralization, the transformation and upgrading of energy consumption structure is crucial to achieve sustainable environmental development. Based on the questionnaire data of 1080 farmers in Sichuan province in 2021, the IV-Probit model was used to explore the impact of labor from off-farm employment on farmers’ energy consumption structure and its specific mechanism. The results show the following: (1) the overall proportion of off-farm employment is not high, only 23%; in cooking energy, the most farmers use high-quality energy, accounting for up to 94%; (2) in addition to high-quality energy, off-farm employment of labor force is positively and significantly correlated with the remaining six types of energy consumption structure. The results of a heterogeneity analysis show that the proportion of off-farm employment of farmers with a high education level and above has the greatest positive effect on the use of high-quality energy; (3) the results of the mediating effect show that the off-farm employment can affect the energy consumption structure of farmers through the two paths of annual cash income and population structure. Full article

The secret to ensuring food security and the growth of agricultural development is farmland production efficiency. In the context of urbanization, this means that farmers need to increase their off-farm employment behavior. The research goal of this paper is to explore whether this will have a impact on farmland production. This paper is based on the data of the China Land Economic Survey conducted by Nanjing Agricultural University and uses Tobit and other methods to conduct empirical tests. The main findings of this paper are as follows: (1) When the proportion of the household’s off-farm employment time is less than 73%, an increase in off-farm employment reduces farmland production efficiency. When the proportion of the household’s off-farm employment time exceeds 73%, an increase in off-farm employment increases the farmland production efficiency. (2) This paper eliminates the scale efficiency contribution in farmland production efficiency to obtain pure technical production efficiency. After verification, off-farm employment and farmland pure technical production efficiency show a U-shaped correlation and the inflection points of the two U-shaped curves coincide. (3) The reason for the inflection point is that after the off-farm employment of farmers reaches the inflection point, with a further increase in off-farm employment, the renting-out behavior of farmland increases and there is increased input of labor-saving technology in agricultural land production, because of which the production efficiency and pure technical efficiency of the farmland increase. To sum up, off-farm employment does not necessarily mean reduced farmland production efficiency. Farmland leasing behavior plays a key role in mitigating the impact of off-farm employment on farmland production. Therefore, in the process of urbanization, the improvement of the land transfer market, the development of agricultural socialized services, and the promotion of cooperative operation will help to ensure the productivity of farmland. Full article

Sustainable food production is an important foundation for a country’s development. With the accelerated pace of China’s economic development, many farmers are relocating to cities. This change in farmers’ part-time employment may lead to a shortage of agricultural labor supply and can result in insufficient food production. Therefore, the government implemented grain subsidies to promote food production. This study investigates the impact of grain subsidies on the labor supply of farm households, using panel data from fixed observations in rural China. The results show that grain subsidies increase the agricultural labor time of incompletely divided part-time farmers, especially the time spent growing food. This increase is because the members of these households are more likely to be engaged in temporary-seasonal-nonfarm work, and they can switch between nonfarm and agricultural work more easily. Moreover, this study finds that as the total amount of subsidies received by farmers increases, the effect of per-unit subsidies becomes more pronounced. These findings may provide evidence of subsidy effects and present policy implications for ensuring adequate food supply and sustainable agricultural development in the future. Full article