Impact of climate smart agriculture (CSA) through sustainable irrigation management on Resource use efficiency: A sustainable production alternative for cotton

被引:59
作者
Imran, Muhammad Ali [1 ,2 ,4 ]
Ali, Asghar [1 ]
Ashfaq, Muhammad [1 ]
Hassan, Sarfraz [1 ]
Culas, Richard [3 ]
Ma, Chunbo [4 ]
机构
[1] Univ Agr Faisalabad, Inst Agr & Resource Econ, Faisalabad, Pakistan
[2] MNS Univ Agr, Dept Agribusiness & Appl Econ, Multan, Pakistan
[3] Charles Sturt Univ, Sch Agr & Wine Sci, Bathurst, NSW, Australia
[4] Univ Western Australia, Sch Agr & Environm, Nedlands, WA, Australia
关键词
Cotton; Bootstrap truncated regression; Resource use efficiency; Climate-smart agriculture; Rural masses; INDO-GANGETIC PLAINS; WATER-USE; CONSERVATION AGRICULTURE; TECHNICAL EFFICIENCY; ECONOMETRIC-ANALYSIS; PAKISTAN PUNJAB; WHEAT; FARMERS; SYSTEMS; DETERMINANTS;
D O I
10.1016/j.landusepol.2019.104113
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
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页数:13
相关论文
共 79 条
[1]  
Abedullah Kouser S., 2006, PAK J AGR SCI, V43, P197
[2]   Farmers' perceptions of and adaptation strategies to climate change and their determinants: the case of Punjab province, Pakistan [J].
Abid, M. ;
Scheffran, J. ;
Schneider, U. A. ;
Ashfaq, M. .
EARTH SYSTEM DYNAMICS, 2015, 6 (01) :225-243
[3]   Adaptation to climate change and its impacts on food productivity and crop income: Perspectives of farmers in rural Pakistan [J].
Abid, Muhammad ;
Schneider, Uwe A. ;
Scheffran, Juergen .
JOURNAL OF RURAL STUDIES, 2016, 47 :254-266
[4]  
Abid M, 2011, PAK J AGR SCI, V48, P75
[5]   Productivity growth and resource degradation in Pakistan's Punjab: A decomposition analysis [J].
Ali, M ;
Byerlee, D .
ECONOMIC DEVELOPMENT AND CULTURAL CHANGE, 2002, 50 (04) :839-863
[6]  
[Anonymous], 2007, CLIMATE CHANGE 2007
[7]  
[Anonymous], 2011, CLIMATE SMART AGR SY
[8]   Impacts of laser land leveling in rice-wheat systems of the north-western indo-gangetic plains of India [J].
Aryal, Jeetendra Prakash ;
Mehrotra, Meera Bhatia ;
Jat, M. L. ;
Sidhu, Harminder Singh .
FOOD SECURITY, 2015, 7 (03) :725-738
[9]   Levels of Technical, Allocative, and Groundwater Use Efficiency and the Factors Affecting the Allocative Efficiency of Wheat Farmers in Pakistan [J].
Asghar, Sobia ;
Sasaki, Nophea ;
Jourdain, Damien ;
Tsusaka, Takuji W. .
SUSTAINABILITY, 2018, 10 (05)
[10]  
Bakhsh A, 2015, PAK J AGR SCI, V52, P821