Understanding the mediating role of labor out-migration in household income generation and distribution under a reforestation policy in rural China.

Income inequality is a critical issue of socio-economic development, particularly in rural areas where forest-dependent people are often vulnerable to the intervention of forest policies. This paper aims to elucidate income distribution and inequality of rural households influenced by China's largest reforestation policy implemented in early 2000s. Drawing on socioeconomic and demographic data from household surveys in two rural sites, we applied the Gini coefficient to measure income inequality and used a regression-based approach to examine the underlying factors that are associated with income generation among households. We also performed a mediation analysis to test the role of labor out-migration in shaping household income distribution under the reforestation policy. Results show that remittances sent by rural out-migrants substantially contribute to household income but tend to worsen inequality, particularly for households having retired cropland for reforestation. The inequality in total income depends on capital accumulation for land endowment and labor availability that render diversified livelihoods possible. Such linkage reveals regional disparity, which, along with policy-implementing institutions (e.g., rules for tree species choice for reforestation), can influence income generation from a given source (e.g., agriculture). Rural out-migration of female labor significantly mediates the economic benefits of the policy delivered to the households with an estimated mediating share of 11.7%. These findings add value to the knowledge of poverty-environment interrelationships in a sense that supporting rural livelihoods of the more vulnerable and underrepresented groups is essential for securing and sustaining the stewardship of forests. Policymaking for such forest restoration programs needs to integrate strategies for targeted or precise poverty alleviation to strengthen the conservation effectiveness.

Impacts of COVID-19 pandemic on the livelihoods of rural households in the community forestry landscape in the Middle Hills of Nepal.

The novel coronavirus disease (COVID-19) has severely affected all sectors of the economy, and the impacts are expected to last-long. One major impact is that migrants return to their original households in rural communities due to loss of jobs. Since rural communities are highly dependent on forest and agriculture for livelihoods, an influx of return migrants likely increases the consumption of forest products and intensifies the agriculture practices, increasing the pressure on forest resources. Based on in-person interview of 215 in 2018 before the pandemic and a phone interview of the same 215 rural households in 2021 at the peak of the pandemic in Kavrepalanchowk district in Nepal, this study addresses the following research questions: (1) Does COVID-19 exert differential impacts among the socio-economic groups? (2) How do return migrants affect the rural land use? (3) Do return migrants put additional pressure on forests resources? The rare before-and-after dataset provide a precious opportunity to assess the COVID-19 impacts on the livelihoods of rural households in the community forestry landscape in the Middle Hills of Nepal. We found that the impacts of COVID-19 were severe on the households with larger family size, those belonging to the marginalized caste groups, having lower number of livestock, low wellbeing index, those who rely on daily wage-based occupation, with low level of education, and the households with return migrants. A significant number of migrants were found to return to their village of origin. As a result, there was a decrease in abandoned land and an increase in the livestock number and forest product use. These findings provide timely insights for the post-pandemic recovery efforts in better targeting needy household with limited resource in the community forestry landscape in the Middle Hills of Nepal.