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首页> 外文期刊>Land Use Policy >Impact of climate smart agriculture (CSA) through sustainable irrigation management on Resource use efficiency: A sustainable production alternative for cotton
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Impact of climate smart agriculture (CSA) through sustainable irrigation management on Resource use efficiency: A sustainable production alternative for cotton

机译：气候智能农业（CSA）对资源利用效率的可持续灌溉管理影响：棉花可持续生产替代品

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Climate-smart agriculture (CSA) improves agricultural productivity and enhance farm income on a sustainable basis, enhance water and nutrients use efficiency, resilient to climatic stresses, and lowering the emissions of Greenhouse Gas (GHG) to a minimum level. Water-smart, energy-smart, carbon-smart and knowledge-smart practices and technologies significantly contributed directly or indirectly to improve productivity, enhance resilience and reduce GHG emission. Cotton is one of the important cash crops of Pakistan. It is a climate sensitive crop and suffered by multiple shocks as climate change and market discrepancies during the last two decades. The present paper aimed to estimate and compare the resource use efficiency including technical, economic and water use efficiency of adopters of CSA and non-adopters in cotton production. The study was conducted along Lower Bari Doab Canal (LBDC) irrigation system in Punjab, Pakistan. First-hand information was gathered through a well-structured and comprehensive questionnaire from 133 adopters of CSA and 65 farmers cultivating cotton with traditional methods. Input-oriented Data Envelopment Analysis technique was employed to investigate the technical, economic and water use efficiency, assuming variable return to scale. The Bootstrap Truncated Regression was used to identify the factors influencing the resource use efficiency. The results showed that the adopters of CSA were using inputs more efficiently. The analysis revealed that adopters have higher cotton yield from per m(3) irrigation water than non-adopters. Adopters were found to be financially sound, having easy access to credit and fast adaptation behavior towards environmental changes, and therefore, economically better off as compared to non-adopters. Bootstrap Truncated Regression analysis revealed that easy access to credit, provision of extension services, awareness regarding CSA, availability of good quality groundwater and right of ownership of tubewell were significantly affecting resource use efficiency. The finding suggested certain policy implications for creating awareness and financial support for the cotton growers to expedite the adaptation of CSA practices and technologies in the cotton growing area. This can enhance resource use efficiency, net farm income and livelihood of rural masses.
机译：气候智能农业（CSA）提高农业生产力，增强了农业收入，以可持续的基础，增强水和营养素利用效率，对气候压力的弹性，并降低温室气体（GHG）的排放至最低水平。水智能，能源智能，碳智能和知识 - 智能实践和技术直接或间接贡献，以提高生产率，增强弹性，减少温室气体排放。棉是巴基斯坦的重要现金庄稼之一。它是一种气候敏感作物，受到在过去二十年中的气候变化和市场差异的多次冲击。本文旨在估算和比较资源利用效率，包括CSA采用者的技术，经济和水利用效率和棉花生产中的非采用者。该研究沿巴基斯坦旁遮普邦下的低级Bari Doab Canal（LBDC）灌溉系统进行。通过从133名CSA采用者和65名农民培养传统方法的采用者，通过结构良好和全面的调查问卷收集第一手信息。采用输入导向的数据包络分析技术来调查技术，经济和用水效率，假设变量恢复到规模。 Bootstrap截断的回归用于识别影响资源利用效率的因素。结果表明，CSA的采用剂更有效地使用输入。分析显示，采用剂与非采用剂的灌溉水的棉产率较高。发现采用者在经济上声音，方便地获得信用和快速适应行为，以与非采用者相比，经济地更好地休息。 Bootstrap截断的回归分析显示，轻松获得信贷，提供延长服务，提高CSA，良好的地下水的可用性和TubeWell的权限受到显着影响资源利用效率。该观点提出了对棉花种植者的认识和财政支持来加快棉花种植区中CSA实践和技术的适应来提高某些政策影响。这可以提高资源利用效率，净农业收入和农村群众的生计。

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