Do Agriculture Technologies Influence Carbon Emissions in Pakistan? Evidence based on ARDL technique.

Pakistan is an agrarian country, and the usage of agriculture technologies has increased in this country over the period of time. Extensive use of agriculture technologies may have detrimental impact of environment quality through an increase in carbon dioxide emissions. This study examines the impact of agriculture technologies on carbon emissions in Pakistan by using the annual time series data for the period 1973-2018. For long-run and short-run analysis, autoregressive distributed lag model is applied and the results reveal that cointegration exists among the variables. Long-run results show a significant positive impact of pesticide and economic growth on carbon emission, whereas short-run results confirm the positive effect of economic growth on carbon emissions in Pakistan. This study has important policy implications, such as to increase sustainable economic growth through agriculture sector; there is a need to introduce green technologies that produce less carbon emissions.

Impact of better cotton initiative on health cost and pesticide exposure of women cotton pickers in Punjab, Pakistan.

Cotton picking is an exclusive work that is performed only by women in Pakistan. They are directly exposed to pesticide as cotton picking is usually done without protective measures which cause destructive effects on their health. Better cotton standard system involves trainings of cotton pickers to use precautionary measures and avoid pesticide exposure. The current study has been conducted to explore the health cost of women cotton pickers in conventional versus better cotton in Punjab, Pakistan. Primary data were collected from 600 cotton pickers through an organized questionnaire from three districts (Layyah, Toba Tek Singh, and Bahawalnagar). Ordinary least square method was used to find the pesticide exposure and socioeconomic factors affecting the health cost of women cotton pickers. The study shows that total cost per person, cost of medication, productivity loss, cost of accompanied person, and dietary expenses in better cotton are significantly less than those in the conventional cotton. Cost of precautionary measures in better cotton is significantly higher than conventional cotton as better cotton pickers are trained to use precautionary measures. Moreover, education, distance from hospital, and precautionary measures affect health cost significantly. Results suggest that education should be improved in rural areas. Better cotton standard system should be promoted in Pakistan through education and other training programs. Women cotton pickers should be encouraged to use protective measures.

Relationship between adaptation to climate change and provincial government expenditure in Pakistan.

Public expenditures on adaptation to climate change have direct effects on budgets of governments. Such direct impacts on government budgetary allocation have been analyzed in the developed countries and very little research is available considering highly vulnerable and exposed developing countries which are facing huge threats of climate change. The current study is designed to bridge this information gap by examining the effects of climate change adaptation on public expenditures in Pakistan employing provincial level data over the period of 1990-2016. Adaptation expenditures included both overall government expenditures and expenditures on communal amenities and housing. In addition to a fixed effects estimation, we employed long difference model to analyze the impact in the long run. Results indicated that variations in temperature and rainfall were significantly related with public expenditures. Short run and long run scenarios showed that rising temperature caused an increase in public expenditures. The effect of rainfall on total public expenditure was positive and statistically significant while rainfall and expenditure incurred on communal amenities and housing were negatively related in the long run. The study posits important policy implications.

Climate change-induced human conflicts and economic costs in Pakistani Punjab.

Understanding causes of interpersonal conflicts, related costs, and the effects on investment in agriculture are important concerns of social sciences. The present study was designed to explore these aspects in relation to climate change, since rising temperature and precipitation are considered crucial causal factors in fueling interpersonal conflicts. The study used cross-sectional data collected from rural farm households from a large district of Pakistani Punjab. Cost of conflicts was estimated using standard economic methods whereas factors affecting interpersonal conflicts were estimated through employing logit model. The study found that interpersonal conflicts cost US$135 per month for following the proceedings of the conflicts filed in the court. Households involved in conflicts spent significantly very few resources in purchasing farm inputs which in turn declined productivity of maize (28%) and sugarcane (19%). Warm temperature, precipitation, and windstorm were perceived by households as causal factors for interpersonal conflicts. Socioeconomic characteristics namely, farm size, livestock, family size, and high monthly income of household, were significantly associated with interpersonal conflicts. The study concludes important policy implications.

Environmental and economic impacts of better cotton: a panel data analysis.

Better cotton is introduced with the aim of a reduction in the use of environmentally detrimental farm inputs in order to attain sustainable cotton production. The present study is designed to assess the environmental and economic effects of better cotton in Pakistan using panel data comprising of two cropping seasons, 2015 and 2016. Panel methods were used in the present study. Findings show that better cotton increases the gross margin by 37% and yield by 9%, whereas it results in decreasing seed rate by 6%, fertilizers by 7%, pesticides by 7%, and irrigation by 14%. Since better cotton involves more labor use due to higher yield, labor increases by 3%. The study concludes that better cotton is more economically and environmentally sustainable than conventional cotton. The study suggests that public private partnership will be a good strategy to diffuse better cotton technologies among the farming communities.