保护性耕作技术应用对小麦产量、水分利用和农户贫困的影响

A. Sheikhzeinoddin
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引用次数: 3

摘要

人口增长、技术进步和气候变化的相互作用严重影响了农业和环境的可持续性。在伊朗,传统耕作导致土壤侵蚀和土壤有机质流失。在这方面,保护性农业(CA)是农业生产系统方法的替代范例的一部分,可被视为提高粮食生产力、减少贫困和减轻气候变化对农村家庭影响的一种手段。本研究的目的是研究农作技术对小麦产量、贫困差距和水分利用的决定因素和影响。为此,采用内生转换回归(ESR)模型估计CA技术对小麦产量、贫困差距和水资源利用等连续变量的影响。选取扎尔干地区260名农民进行访谈,收集必要的农场层面数据。结果表明,在ESR模型的选择方程中,12个系数中有10个在5%及以上水平上显著。土壤质量知识、信贷获取、信息获取、教育、农场规模、机械所有权、参与农业推广活动和农民感知对采用农业生产行为的概率有显著的正向影响。相反,距离购物中心的距离和地块数量等变量对采用农业生产行为的概率有显著的负向影响。ESR模型和反事实分析结果表明,采用CA技术可使小麦单产增加1.05 t,使贫困差距和用水量分别减少20%和910 m3 /公顷。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effects of Conservation Tillage Technology Adoption on Wheat Yield, Water Use and Household Poverty
The interaction of population growth, technological improvement and climate change have impacted severely on agricultural and environmental sustainability. In Iran, conventional tillage practice has resulted in soil erosion and loss of soil organic matter. In this regard, Conservation Agriculture (CA) forms part of this alternative paradigm to agricultural production systems approaches and can be regarded as a means to enhancing food productivity, reducing poverty, and mitigating the consequences of climate change in rural households. The objectives of this study were to examine the determinants and impacts of CA technology on wheat yield, poverty gap and water use. To this end, an endogenous switching regression (ESR) model was employed to estimate the impacts of CA technology on continuous variables such as wheat yield, poverty gap and water use. A sample of 260 farmers from Zarghan district was selected for interview collection of necessary farm level data. The results indicated that in the select equation of ESR model, ten coefficients (out of 12) are significant at the 5% level or higher. Knowledge of soil quality, access to credit, access to information, education, farm size, ownership of machinery, participation in agricultural extension activities and farmer’ perception have positive and significant effects on the probability of adopting CA. In contrast, variables such as the distance to shopping center and number of land parcels have negative and significant influence on adoption. Also, the results of ESR model and counterfactual analysis showed that wheat yield would increase by 1.05 tons and poverty gap and water use would decrease by 20% and 910 cubic meters per hectare respectively if farmers adopt CA technology.
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