This article examines the influence of social capital on the sustainable livelihood ability of rural households who are out of poverty, in order to promote the sustainable development of their livelihood. Based on the survey data of 371 out-of-poverty households in rural Jiangxi, we analyzed the relationship between social capital and households’ sustainable livelihood ability using “Ordinary Least Square (OLS) + robust standard error” regression models and quantile regression models. Households’ social capital was measured from the following three dimensions: social network, social participation, and social trust. The benchmark regression models showed that social capital index, social network, and social participation all had a significant positive effect on the sustainable livelihood ability of out-of-poverty households. However, the impact of social trust on sustainable livelihood ability was not significant. In addition, the quantile regression analysis results showed that social capital index, social network, social participation, and social trust all contributed the most to households with a low sustainable livelihood ability. Therefore, it is suggested to improve the social capital accumulation of out-of-poverty households from multiple dimensions, so as to enhance the sustainable livelihood ability of households and consolidate poverty-alleviation achievements.
In recent years, escalating global warming and frequent extreme weather events have caused carbon emission reduction to become a pressing issue on a global scale. Land use change significantly impacts ecosystem carbon storage and is a crucial factor to consider. This study aimed to examine the evolutions in land use and their impact on carbon storage in Jiangxi Province, China. Using the coupled PLUS-InVEST model, we analyzed the spatial patterns alterations of both land use and carbon storage from 2000 to 2020 and set four scenarios for 2040. Our findings indicated the following: (1) From 2000 to 2020, the area of cropland, forest, grassland, and unused land declined, whereas the area of water and built-up land increased, with changes mainly occurring in 2010–2020. (2) From 2000 to 2020, due to the land use change, carbon storage in Jiangxi Province demonstrated a decreasing trend, with a total reduction of 2882.99 × 104 t. (3) By 2040, under the dual protection scenario for cropland and ecology, the expansion of built-up land will be most restricted among the four scenarios, and the largest projected carbon storage was foreseen. This suggests that carbon loss can be minimized by focusing on cropland and ecological conservation, especially forests. Our research findings can facilitate policy decisions to balance economic development and environmental protection in Jiangxi Province in the future.
This study analyzes the influence mechanism of migration on farmers' forestland transfer behavior by using instrumental variable‐Probit and instrumental variable‐Tobit models based on survey data of 505 households in 50 villages in 10 sample counties in Jiangxi Province. The results show that the farmers' willingness to transfer forestland is generally not high, but there is a great difference in the influence of intra‐county migration and outside‐of‐county migration on the transfer behavior of farmers. Outside‐of‐county migration promotes the renting out of forestland and inhibits renting it in, whereas intra‐county migration does not affect either. In addition, households' human capital, forestland resource endowments, policy systems, and locational environment factors all have different degrees of influence on farmers' transfer behavior. According to the analysis, improving rural laborers' job skills through training can deepen the reform of collective forestland. Recommendations for Resource Managers This study uses econometric models to reflect the influence of intra‐county migration and outside‐of‐county migration on households' forestland transfer and provides a foundation for the sustainable development of forestland. The factors affecting the renting in or out of forestland strongly differ according to intra‐ and outside‐of‐county migration. Outside‐of‐county migration promotes the renting out of forestland and inhibits renting it in, whereas intra‐county migration does not affect either. To encourage forestland transfer and achieve sustainable forest development, managers should concentrate on improving the rural laborers' job skills through training, continuing the reform of collective forestland, and coordinating the relationship between farmers and forestland.
Expedited economic expansion and innovative technological advancement have precipitated considerable environmental predicaments, giving rise to extensive ecological conundrums worldwide. In response to the pressing situation, numerous countries have implemented policies aimed at reducing carbon emissions. One such initiative is the “low-carbon label”, which signifies a commitment to lowering carbon emissions. On one hand, it offers consumers an effective means to identify low-carbon products, thereby enhancing their willingness towards green consumption. On the other hand, it motivates businesses to transition towards greener practices, thereby guiding the market towards more environmentally friendly directions. This transition has had a significantly positive impact on reducing carbon emissions and promoting the development of a low-carbon economy, highlighting its critical value within the broader environmental movement. This study focuses on exploring whether the low-carbon label can influence consumers’ willingness to purchase green agricultural products. The theoretical framework was developed based on the theory of perceived value and SOR theory. The data were gathered through a randomized survey conducted in China. The research findings suggest that the perceived environmental value, functional value, and emotional value have significant impacts on consumers’ willingness to purchase green agricultural products. Trust in low-carbon labels plays a critical role in mediating the relationship between perceived value and consumers’ purchasing intentions for green agricultural products. Our research yielded the following conclusions. (1) Consumers are progressively cultivating an independent pro-environmental persona and increasingly aligning themselves with sustainable development, as indicated by their affinity towards carbon labels. (2) The selection of low-carbon agricultural products by consumers is contingent upon sensory perception, emphasizing environmental spillover value, functional enhancement, and emotional support. (3) Consumer confidence in green low-carbon agricultural products stems from an intuitive perception perspective, suggesting that low-carbon labels should accentuate functional and emotional values. The study suggests proactive measures to enhance the role of low-carbon labels in the consumption of green agricultural products. These measures include three parts: (1) Improving the content system of low-carbon labels and integrating digital technologies to reconstruct trust systems; (2) strengthening promotional efforts focusing on enhancing consumers’ intrinsic value perceptions; and (3) establishing a national-level low-carbon labels certification system, raising standards, and strengthening supervision.
8 September 2022 in Frontiers in Environmental Science
This article explores how rural labor migration affects the forest management income. Based on consecutive annual surveys of 397 forest households in the Jiangxi Province from 2011 to 2018, the panel-Tobit and IV-Tobit and mediation models are conducted. The studies showed that the migration effect of labor migration inhibits forest management income, and the remittance effect of labor migration has a promoting effect, but the total effect of labor migration inhibited household forest management income. A heterogeneity analysis showed that, the labor migration effect in hilly and mountainous areas has a significant inhibitory effect on forest management income, while the promoting effect of the remittance effect of labor migration on forest management income is only significant in plain areas. At the same time, compared with the elderly group, the migration effect of labor migration of the youth group has a greater inhibitory effect on household forest management income, while the impact of the remittance effect of labor migration is only significant in the elderly group. A test of action mechanism showed that, cash investment plays a partial mediating role on the impact of labor migration effect on forest management income, but it has a suppressing role in the impact of the remittance effect. Labor input plays a partial mediating role on both the labor migration effect and the labor remittance effect on forest management income. Our analysis provides an important basis for policymakers to formulate pertinent policies to support forest management in collective forest regions.