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Impact of Climate Smart Agriculture (CSA) Practices on Cotton Production and Livelihood of Farmers in Punjab, Pakistan

机译:气候智能农业(CSA)实践对巴基斯坦旁遮普农民棉花生产和生计的影响

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Cotton is the second largest crop of Pakistan in terms of area after wheat and is being suffered by multiple shocks over the time due to conventional agricultural management practices, climate change, and market failures. Climate Smart Agriculture (CSA) was introduced by the Food and Agricultural Organization (FAO) in 2010, as an innovative cleaner production alternative to conventional farming that aimed at increasing the efficiency of natural resources, resilience, and productivity of agricultural production system, while reducing greenhouse gas emissions. The adverse effects of climate change on cotton production at the farm and regional level can be minimized by using CSA practices and technologies. The present study investigated the financial performance and explored the impact of CSA through sustainable water use management on cotton production in Lower Bari Doab Canal (LBDC) irrigation system of Punjab, Pakistan by using Cobb-Douglas production function. The adopters of CSA in cotton cultivation were identified by conducting six focus group discussions. Data were collected through well-structured questionnaire from 133 adopters of CSA and 65 conventional cotton growers for the cropping season 2016–2017. It was found that water-smart (raising crops on bed, laser land levelling, conjunctive use of water and drainage management), energy-smart (minimum tillage), carbon-smart (less use of chemicals) and knowledge-smart (crop rotation and improved varieties i.e., tolerant to drought, flood and heat/cold stresses) practices and technologies of CSA were adopted by the cotton farmers in the study area. Most of the farmers were of the view that they are adopting CSA practices and technologies due to the limited supply of canal water, climate change, drought-prone, massive groundwater extraction, rapidly declining groundwater table and increasing soil salinity over the time. Results revealed that uniform germination, higher yield and financial returns, the concentration of inputs and increase in resource use efficiency are the main advantages of CSA. The econometric analysis showed that implementation of CSA practices and technologies as judicious use of water and fertilizer, groundwater quality, access to extension services, and appropriate method and time of picking have a significant impact on the gross value of cotton product (GVP). The findings of the study would be helpful for policy makers to formulate policies that can minimize farmer’s financial burden to adopt CSA technologies and implement for scaling out in Punjab and beyond.
机译:棉花是小麦面积中第二大巴基斯坦作物,而且由于传统的农业管理实践,气候变化和市场失败,随着时间的推移,遭遇多次冲击。粮食和农业组织(粮农组织)于2010年引入了气候智能农业(CSA)作为旨在提高农业生产系统的自然资源,恢复力和生产力效率的常规农业的创新清洁生产替代品,同时减少温室气体排放。利用CSA实践和技术可以最大限度地减少气候变化对农场和区域一级棉花生产的不利影响。本研究调查了财务绩效,并通过使用Cobb-Douglas生产功能,通过旁遮普邦旁遮普岛(LBDC)灌溉系统对棉花生产的可持续用水管理来探讨CSA对棉花生产的影响。通过进行六个焦点组讨论来确定CSA在棉花种植中的采用剂。通过结构良好的问卷从CSA和65名常规棉花种植者的133名参与者进行了整理良好的调查问卷来收集数据。发现水智能(在床上饲养作物,激光陆地平衡,水和排水管理的联合使用),能源智能(最小耕作),碳智能(少使用化学品)和知识智能(作物旋转)和改善的品种即,耐旱,洪水和热/冷应力的耐受性,CSA的实践和技术被研究区域中的棉花农民采用。大多数农民都认为,由于运河水,气候变化,干旱,大规模地下水萃取,地下水位迅速下降以及随着时间的推移,由于运河水,气候变化,干旱,大规模的地下水提取,以及随着时间的推移而增加土壤盐度,他们正在采用CSA实践和技术。结果表明,均匀的发芽,更高的产量和财务回报,投入浓度和资源利用效率的增加是CSA的主要优势。计量计量分析表明,CSA实践和技术的实施方式为可明智地使用水和肥料,地下水质量,进入延长服务,以及适当的方法和挑选时间对棉花产品(GVP)的总价值产生重大影响。该研究的调查结果将有助于决策者制定能够最大限度地减少农民财务负担,以便在旁遮普邦和超越旁遮普地区采用CSA技术并实施扩展的政策。

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