Usman Muhammad, Ali Asghar, Bashir Muhammad Khalid, Baig Sajjad Ahmad, Mushtaq Khalid, Abbas Azhar, Akram Rimsha, Iqbal Muhammad Shahzad
Institute of Agricultural and Resource Economics, University of Agriculture, Faisalabad, Pakistan.
Faisalabad Business School, National Textile University, Faisalabad, Pakistan.
Environ Sci Pollut Res Int. 2023 Apr;30(17):49930-49947. doi: 10.1007/s11356-023-25883-z. Epub 2023 Feb 14.
This study aimed to determine the farmers' perceived impact of climate change on irrigation water and the adaptation measure adopted to mitigate its adverse effects. A binary logistic regression model was used to identified factors affecting the selection of adaptation measures. Partial Least Square-Structural Equation Modelling (PLS-SEM) was employed to compute the benefits of adaptation strategies. The study was conducted in two major cropping systems, i.e., the Cotton Wheat Cropping System (CWCS) and Rice Wheat Cropping System (RWCS) of Punjab, Pakistan, using primary data of 1080 farmers collected through a multistage sampling technique. Due to climate change there was deterioration in surface water and groundwater quality in CWCS than in RWCS. The farmer uses different adaptation strategies like water harvesting, crop diversification, increasing use of irrigation, laser land leveling to save water, making ridges, building a water harvesting scheme, changing irrigation time, high-efficiency irrigation system and water-saving technologies. Adaptation strategies used by farmer were affected by different socioeconomic, demographic and agronomic factors. Results of the binary logistic regression showed that age, farming experience, education, household size, farm size, tenancy status of owner, access to farm credit, information on weather forecasting, soil quality, tube well ownership, remittances, off-farm income, agricultural extension services provided for irrigation water, and information on climatic and natural hazards played a significant role in the selection of adaptation strategies for irrigation water. Results of PLS-SEM showed that adaptation strategies mitigate the adverse effects of climate change on irrigation water. Farmers' awareness regarding the impact of climatic variability on irrigation water should be enhanced. Availability of credit to farmers should be improved on easy terms to facilitate the adoption of interventions for better irrigation water management. It is high time for policymakers to design effective, affordable, and workable policies to mitigate climate change vulnerabilities against irrigation water to improve the wellbeing of the farmers.
本研究旨在确定农民对气候变化对灌溉用水的感知影响以及为减轻其不利影响而采取的适应措施。采用二元逻辑回归模型来识别影响适应措施选择的因素。运用偏最小二乘结构方程模型(PLS-SEM)来计算适应策略的效益。该研究在巴基斯坦旁遮普邦的两个主要种植系统中进行,即棉花小麦种植系统(CWCS)和水稻小麦种植系统(RWCS),使用通过多阶段抽样技术收集的1080名农民的原始数据。由于气候变化,CWCS中的地表水和地下水质量比RWCS中的恶化更严重。农民采用不同的适应策略,如水收集、作物多样化、增加灌溉用水、激光土地平整以节约用水、筑垄、建设集水方案、改变灌溉时间、高效灌溉系统和节水技术。农民采用的适应策略受到不同的社会经济、人口和农艺因素的影响。二元逻辑回归结果表明,年龄、务农经验、教育程度、家庭规模、农场规模、土地所有者的租赁状况、获得农业信贷的机会、天气预报信息、土壤质量、管井所有权、汇款、非农业收入、提供的灌溉用水农业推广服务以及气候和自然灾害信息在灌溉用水适应策略的选择中发挥了重要作用。PLS-SEM结果表明,适应策略减轻了气候变化对灌溉用水的不利影响。应提高农民对气候变异性对灌溉用水影响的认识。应放宽条件,改善农民获得信贷的机会,以促进采用干预措施实现更好的灌溉用水管理。现在是政策制定者设计有效、经济且可行的政策以减轻气候变化对灌溉用水的脆弱性从而改善农民福祉的时候了。