Assessing Household's Municipal Waste Segregation Intentions in Metropolitan Cities of Pakistan: A Structural Equation Modeling Approach.

There is a growing concern about inappropriate waste disposal and its negative impact on human health and the environment. The objective of this study is to understand household waste segregation intention considering psychological, institutional, and situational factors simultaneously. Insights into the motivations of household waste segregation drivers may assist in a better knowledge of how to pursue the most efficient and effective initiatives. For this purpose, data from a representative sample comprising 849 households is obtained from the twin cities of Islamabad and Rawalpindi (Pakistan). The empirical analysis employs a Structural Equation Modeling (SEM) approach, showing that policy instruments have significant direct and indirect impacts on households' segregation intentions. The results highlight that government policy instruments strengthen personal and perceived norms for waste segregation intentions, resulting in an external intervention that would encourage intrinsic motivation. Therefore, policy actions become the main entry point for initiating waste segregation behavior. Public policy must continue to emphasize waste segregation since it may help resource recovery. This is imperative because the environment is a shared resource, and its conservation increases social welfare.

Environmental and Health Impacts of Crop Residue Burning: Scope of Sustainable Crop Residue Management Practices.

The burning of crop residue in the open field has become a significant concern for climate change mitigation efforts worldwide. This practice has led to air quality impairment, smog, haze, heat waves, and different health problems. These could be avoided by adopting sustainable crop residue management practices (SCRMPs) and enabling farmers to engage in SCRMPs. Assessing the health effects at the household level is critical for understanding this problem and finding a solution. Using the primary dataset of 420 farmers from Punjab, Pakistan, we estimated the incurred impacts and costs of crop residue burning. We calculated the health and environmental benefits associated with adopting SCRMPs by comparing the two groups of farmers (adopters and non-adopters). Furthermore, we used a propensity score matching technique to measure the causal impact of SCRMPs adoption on health costs. The findings showed that a surprisingly large number of farmers are all aware of the adverse effects of residue burning, and many do not burn crop residues and instead use SCRMPs. This study found that households with chronic and non-chronic diseases become acute, and the severity increases during the burning period. They spend USD 13.37 to USD 8.79 on chronic and non-chronic diseases during the burning season, respectively. Consequently, the use of SCRMPs has a positive effect on healthcare costs. Our study findings highlight the meaningful implications for developing a new policy to promote the sustainable utilization of crop residues and enhance their adoption in Pakistan.

Does the adaptation of climate-smart agricultural practices increase farmers' resilience to climate change?

Traditional agricultural practices, extensive use of inputs, and abrupt changes in climate have been of great concern to agriculture production around the world, especially in developing countries. Therefore, it is very vital to adopt and expand Climate-Smart agricultural (CSA) practices. By the cross-sectional data of 350 cotton farmers from major cotton-growing districts of Punjab Pakistan, adoption of CSA practices such as irrigation and soil and crop management practices is evaluated, and factors which affect farmer adoption decision and its impact on poverty, income, and yield are estimated by using logistic regression and propensity score matching (PSM) respectively. The results found that education, access to credit, tubewell ownership, farming experience, and access to extension services positively influenced farmers' adoption behavior. Further, PSM results revealed that adoption of CSA practices is economical, financially, environmentally desirable, and pro-poor. According to these findings, ultimately adoption would help in reducing the negative impact of climate change on the cotton crop by ensuring profits, removing the barriers in the adoption, disseminating the information about CSA, and strictly enforcing the regulations for CSA.

Do risk perceptions and constraints influence the adoption of climate change practices among small livestock herders in Punjab, Pakistan?

Climate change is severely damaging the agricultural system of many food producing regions worldwide. Small/subsistent livestock herders are the most vulnerable and less resilient group towards climatic disasters within South Asian region including Pakistan. The adoption of climate-smart practices would be beneficial for small livestock herders because of its potential to ensure food security, improve income, and sustain development simultaneously. The purpose of this paper is to investigate factors influencing small livestock herders' adaptation decisions towards changing climate by conducting field-based research. We intend to understand how institutional factors, risk perceptions, adaptations, and personal constraints affect the adaptation decisions related to climate change mitigation and choice of adaptation strategies. For this purpose, a primary data set of 405 small livestock herders from Punjab, Pakistan was used. The regression results of empirical models reveal the probability of adopting specific climate change strategies. The study results showed that zero adaptation (non-adoption) to climate change is higher when there is low literacy rate, less experience, nuclear family system, lack of institutional services, and low level of risk perception about climate change. The marginal outcome showed that the livestock herders with positive risk perception and access to the institutional services do participate more frequently in a higher number of adaptations options for economic and ecological benefits. Therefore, it is suggested that government and other development actors should strengthen institutions for trust building among local community groups and to reduce individuals' risks. Moreover, effective insurance schemes could facilitate small livestock herders to keep less but more productive livestock. The study recommends building viable and potential weather index insurance schemes which will result meaningful marginal scale benefits for smallholders. Finally, the results of major constraints suggest that it is necessary to provide awareness of climatic vulnerabilities, timely information delivery, and adequate financial facilities to offset resource constraints of livestock herders in order to adopt sustainable strategies at their farms.

Modeling smallholder livestock herders' intentions to adopt climate smart practices: An extended theory of planned behavior.

Climate change is persistently causing adverse effects to the agriculture sector of developing countries, specifically in Asia. Pakistan is no exception to this effect and is ranked among the top 10 countries, which are most vulnerable to climate change. A huge upcoming challenge is to sustain an equilibrium among production and environmental protection. In this context, adaptation to climate change is considered as a win-win strategy for agriculture sectors in developing countries. However, numerous studies have focused on current farm-level adaptation while a scant interest has been shown on the role of physiological factors in the process of shaping small livestock herders' intentions towards environmental enrichment measures. A possible explanation of their lagging intentions is particular significance as they may comply with requisite climate adaptation measures or not. For deeper understanding, the current study investigates different psychological factors that affect the small livestock herder's intentions on adopting climate smart practices by using theory of planned behavior (TPB) with additional constructs (moral norms, risk perception, and social attributes). To this end, 405 small livestock herders from Punjab, Pakistan, were selected on the basis of multistage random sampling. The results of structural equation model showed that all constructs accounted for 57% of the variances in small livestock herders' adoption intentions. The outcome of this research offers a new indication regarding the interrelationship of numerous variables which are crucial to understand behavioral changes and psychological interventions. Overall attitude was the most prominent construct in the extended TPB model, which is mainly influenced by risk perception awareness. The results suggest that veterinary experts and extension agents should focus on psychological factors to explore different prospects to increase the involvement of livestock herders in environmental enrichment measures with little effort rather than tackling with traditional practices because it will be more likely to affect people's consideration of the external obstructions to act. Findings also offer public and private intervention for enabling technical and policy environment and strengthen social networks to keep livestock herders on track of updates of running government policies to ensure them to adopt climate change measures for their prosperous future.