The food production process across the developing world is under huge pressure pertaining to mounting challenges like water shortage, low fertility of the land, climatic variations, lack of technological progress, and many other unforeseen challenges. This study explores the impact of water crises on food production. The food production index was used for food production and water crises relationship measured in water availability (million-acre feet). Other explanatory variables, remittances, fertilizer, number of tractors, agricultural land, were used as control factors for the period 1975 to 2017. The autoregressive distributive lag (ARDL) model was used for the analyses. Water crises had significant and negative effects on food production. Besides, that other control factors like, fertilizer, remittances, agricultural land, and numbers of tractors also had a substantial and positive impact. The results indicate a long-run relationship between water crises and food production because the error correction term is significant and negative. Water crises (shortage of water availability) decreases the capacity of the land to produce low crop yields. In order to meet the food demand, water scarcity needed to be addressed in the policies. Moreover, the government should encourage the small farmers in particular by providing them fertilizers, high-efficiency irrigations systems and machinery (i.e. tractors) at subsidized rates.

The purpose of this study was to examine the factors that affect rural mothers' and children's dietary diversity patterns in Southern Punjab, district Vehari. Children and Women Dietary Diversity Pattern (CDDP & WDDP) illustrate how economically capable women and children are to acquire a wide range of foods. CDDP & WDDP are multi-dimensional. Various socioeconomic factors can affect CDDP & WDDP.  The Primary data has been collected from 300 children and 300 women from rural areas. A detailed questionnaire was created to gather information from the respondents following the FAO's recommendations. The data analysis method employed was ordered logistic regression. The findings of this study suggest that children in rural regions’ estimated coefficients of child’s age, mother’s age, maternal education, the income of the household, land, area, and livestock do a have positive impact on children's dietary diversity scores and statistically signify.

This study attempts an empirical analysis of the effect of external remittance on labor productivity in Pakistan. This study used the time series data from 1975 to 2019. The Johanson co-integration approach and Trace and Maximum Lamda tests were used for economic analysis. The personal remittance, Gross  Fixed Capital Formation (GFCF), and Officially Exchange Rate (PER) depicted significant and positive relationships and Foreign Direct Investment (FDI) and Trade both variables show positive but insignificant impacts on labor productivity. This study suggests that government should provide incentives for transfer payments to overseas Pakistanis for enhancing the remittances.