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气候智能型农业实践的调整是否能提高农民应对气候变化的适应能力?

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

机构信息

School of Economics and Finance, Xi'an Jiaotong University, No.28, Xianning West Road, Xi'an, 710049, Shaanxi, People's Republic of China.

School of Computer Science and Information Technology, Khawaja Fareed University of Engineering and Information Technology, Abu Dhabi Road, Rahimyar Khan, Punjab, 64200, Pakistan.

出版信息

Environ Sci Pollut Res Int. 2021 Jun;28(21):27238-27249. doi: 10.1007/s11356-021-12425-8. Epub 2021 Jan 28.

Abstract

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.

摘要

传统农业做法、投入品的广泛使用以及气候的急剧变化一直是全世界农业生产的重大关切问题,特别是在发展中国家。因此,采用和推广气候智能型农业(CSA)做法至关重要。本文利用巴基斯坦旁遮普省主要棉花种植区的 350 名棉农的横截面数据,评估了灌溉和土壤及作物管理等 CSA 做法的采用情况,并分别使用逻辑回归和倾向得分匹配(PSM)估计了影响农民采用决策及其对贫困、收入和产量影响的因素。结果发现,教育、获得信贷、机井所有权、耕作经验和获得推广服务均正向影响农民的采用行为。此外,PSM 结果表明,采用 CSA 做法在经济上、财务上、环境上是可取的,有利于减贫。根据这些发现,最终采用 CSA 做法将有助于通过确保利润、消除采用障碍、传播 CSA 信息以及严格执行 CSA 法规来减少气候变化对棉花作物的负面影响。

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