Farmers in the rain-fed agriculture in arid regions are highly exposed to the adverse effects of climate change due to complete reliance on frequency, intensity, and timing of the rainfall. Adaptation, in such condition, becomes crucial to remain in farming in climate change regime. In the rural settings of the less-developed areas, farm households mostly adapt to risks posed by climate change individually. However, the benefits of private adaptation can be private and public depending on the type of adaptation strategies. The present study investigates different adaptation strategies of farmers using cross-sectional data collected from semi-arid region of Punjab province of Pakistan. The study also examines the role of socioeconomic characteristics of farmers on adaptation to climate change. Private adaptations for private and public benefits are considered in the present study. Data is collected from 190 respondents through random sampling. Logit model is employed to find out determinants of adaptation strategies adopted by the farmers. Results indicate that education, farming experience, family size and tractor ownership are significantly related with adaptation to climate change. The study concludes that policymakers should consider the potential difference in private benefits and public benefits resulting from private adaptation to climate change in relation to human capital, family assets and farm machinery when designing policy interventions for climate adaptations. The public goods related private adaptations should be encouraged through appropriate policy interventions.

Agricultural labor is largely informal, particularly for female agricultural labor in developing countries. Despite significant participation in the agricultural labor force in Pakistan, women’s contribution is not properly acknowledged and rewarded. The issue is further aggravated by the dearth of literature on gender–labor relations in cropping and livestock activities. Considering this gap in the literature, the current study was conducted with the specific objective of exploring the labor composition of different agricultural activities in different farm size categories in general and, particularly, female agricultural labor (family and hired labor) participation and its determinants in the rice–wheat cropping system of the Punjab province, Pakistan. The data were collected from 300 households across four districts of the province. Labor participation was calculated on an official farm size classification basis, i.e., small (25 acres) farms. The findings show that female labor is predominantly demanded in the manual harvesting of wheat, rice nursery transplantation and harvesting, and the majority of the livestock-related activities. The regression model results showed that family female labor and hired female labor participation significantly depend on the landholding status of farmers, household size, family type and level of education. The interviews also illustrated that labor relations are rapidly changing—ongoing mechanization threatens conventional female labor activities due to the lack of machinery operation skills among females, caused by informal state policies and cultural barriers. The findings of the study have important policy implications for mainstreaming gender status in agricultural policy and rural development and contribute directly to the Sustainable Development Goals on Gender Equality (SDG#5) and Decent Work and Economic Growth (SDG#8), and indirectly to No Poverty (SDG#1), Zero Hunger (SDG#2), Responsible Consumption and Production (SDG#12) and Climate Action (SDG#13).

The agricultural sector faces numerous threats arising mainly due to adverse weather conditions. These climatic risks are usually beyond the control of farmers and are mostly uncertain. Managing these risks and uncertainties is crucial in an effort to alleviate poverty and ensure food security for the masses who depend on farm sector for their livelihoods. Land tenure agreements along with other socioeconomic factors play an important role in farmers' decisions to adopt risk coping tools. This study is aimed at investigating the effect of tenure agreements on farmers' decisions to adopt three risk coping tools, namely off-farm diversification, precautionary savings and credit reserves, to mitigate climatic risks in Khyber Pakhtunkhwa Province of Pakistan. The results revealed that the adoption of traditional risk coping tools is relatively higher among landless tenants when compared with owner-cum-tenant farmers and owner farmers. However, for formal risk coping tools (credit reserves) tenant farmers have significantly lower access when compared with owner farmers. Owner farmers, on the other hand, can access financial institutions to lessen their burden of risks. The findings of the logit models also indicated the significant role of land ownership status, along with perceptions of risk sources and attitude towards risk, on farmers' decisions of adopting off-farm diversification and credit reserves. Therefore, it is suggested that financial institutions should facilitate tenant farmers' access to credit facilities by simplifying and shortening the credit sanction procedure.