作者: Muhammad Ali Imran , Asghar Ali , Muhammad Ashfaq , Sarfraz Hassan , Richard Culas
DOI: 10.1016/J.LANDUSEPOL.2019.104113
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摘要: Climate-smart agriculture (CSA) improves agricultural productivity and enhance farm income on a sustainable basis, water nutrients use efficiency, resilient to climatic stresses, lowering the emissions of Greenhouse Gas (GHG) minimum level. Water-smart, energy-smart, carbon-smart knowledge-smart practices technologies significantly contributed directly or indirectly improve productivity, resilience reduce GHG emission. Cotton is one important cash crops Pakistan. It climate sensitive crop suffered by multiple shocks as change market discrepancies during last two decades. The present paper aimed estimate compare resource efficiency including technical, economic adopters CSA non-adopters in cotton production. study was conducted along Lower Bari Doab Canal (LBDC) irrigation system Punjab, First-hand information gathered through well-structured comprehensive questionnaire from 133 65 farmers cultivating with traditional methods. Input-oriented Data Envelopment Analysis technique employed investigate assuming variable return scale. Bootstrap Truncated Regression used identify factors influencing efficiency. results showed that were using inputs more efficiently. analysis revealed have higher yield per m3 than non-adopters. Adopters found be financially sound, having easy access credit fast adaptation behavior towards environmental changes, therefore, economically better off compared credit, provision extension services, awareness regarding CSA, availability good quality groundwater right ownership tubewell affecting finding suggested certain policy implications for creating financial support growers expedite growing area. This can net livelihood rural masses.