Suchergebnisse

This study uses neoclassical labour theory to examine the association between migration and the time-spending behaviour of left behind family members by gender and the female relationship with migrated members. Using two-year panel data, this study controls the individual-level time-invariant factors to correct potential self-selection. The study finds that migration of a family member is associated with decreasing off-farm labour of both working-age females and males. Additionally, it is observed that the leisure time of working-age females increases while their work burden on domestic labour decreases. Migration also increases off-farm labour of left-behind wives when only the husbands migrate and decreases off-farm and domestic labour, and increases the leisure of left-behind mothers when only sons/daughters migrate. Thus, migration reshapes the left behind family members' time allocation between labour and leisure with a heterogeneous impact on the wives and mothers.

Being the most populous region, South Asia is home to one-fourth of the population in the world. Along with the aforementioned feature, South Asia is becoming one of the most climatic-hazard-prone regions on the planet. Hence, this study attempts to analyse empirically how economic performance and climate change affect employment in the agriculture sector. The study includes seven South Asian countries' data, excluding the Maldives, from 1992 to 2021 by applying the most widely used Panel ARDL, which involved pooled mean group (PMG) estimation. In the short run, the effect of past-year employment and temperature is positive, whereas GDP per capita is negatively related to agricultural employment and rainfall is insignificant. However, in the long run, the error correction coefficient is significant, and overall data has been able to establish a long-run relationship. The study concludes that, with the long-run impact for each country, agricultural employment is negatively affected by GDP per capita and temperature. Lastly, the effect of temperature in the long run reveals that climate change has long-term impacts on agriculture employment. We believe that the findings of the study have important implications for policymakers in the future.

This study attempts to analyse empirically how economic performance and climate change affect employment in the agriculture sector. The study includes seven South Asian countries' data, excluding the Maldives, from 1992 to 2021 by applying the most widely used Panel ARDL that involved pooled mean group (PMG) estimation. In the short-run, the effect of past year employment and temperature is positive, whereas GDP per capita is negatively related to agricultural employment and rainfall is insignificant. However, in long the run, the error correction coefficient is significant, and overall data has been able to establish a long-run relationship. The study concludes that with the long-run impact for each country, agricultural employment is negatively affected by GDP per capita and temperature. Lastly, the effect of temperature, in the long run, reveals that climate change has long-term impacts on agriculture employment. We believe that the findings of the study have important implications for policymakers in future.