Technical Efficiency of Chemical Fertilizers Use and Agricultural Yield: Evidence from India

Q4 Economics, Econometrics and Finance
Anup Kumar Yadava, J. Komaraiah
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引用次数: 1

Abstract

The agriculture sector is a significant contributor to food security and employment in India, where sustainable yield in agriculture is a prime concern. The heavy and improper use of chemical fertilizers persists in technically inefficient agricultural production. This study attempts to evaluate the technical inefficiency of chemical fertilizers' use and measure the potential minimization of fertilizer input without compromising the agricultural yield level. The study uses secondary data from 2006 to 2015 of 28 Indian states and empirically analyses the efficiency of chemical fertilizers use and their impact on agricultural yield by incorporating slack-based Data Envelopment Analysis (DEA). Three chemical fertilizers, namely; Nitrogen (N), Phosphorus (P), Potassium (K), and gross irrigated land area, have been taken as input variables, and States Total Food-grain (STFG) has been taken as the output variable. The conventional slack-based DEA procedure may have bias efficiency estimates, therefore in the second step Double Bootstrap DEA procedure is followed to correct the biasness of efficiency scores which further checks the moderating relation between efficiency scores and agricultural credit using #algorithm1 and #algorithm2 of Simar and Wilson (2007). Findings indicate that fertilizer K has a higher possibility to decrease, followed by P and N. Evidence from double bootstrap establishes a positive relationship between agricultural credit and yield. Hence, farm-level policies, budgetary implications of agricultural credit, and awareness about the proper use of fertilizers will help reduce chemical fertilizer intensiveness in the production and enhance the farmers’ income through input saving strategy.
化肥使用技术效率与农业产量:来自印度的证据
农业部门是印度粮食安全和就业的重要贡献者,印度的农业可持续产量是首要问题。化肥的大量使用和不当使用在技术上效率低下的农业生产中依然存在。本研究试图评估化肥使用的技术效率,并在不影响农业产量水平的情况下测量化肥投入的潜在最小化。该研究使用了印度28个邦2006年至2015年的二次数据,并结合基于松弛的数据包络分析(DEA),实证分析了化肥的使用效率及其对农业产量的影响。三种化肥,即:;氮(N)、磷(P)、钾(K)和灌溉总面积被视为输入变量,各州粮食总产量(STFG)被视为输出变量。传统的基于松弛的DEA程序可能具有偏差效率估计,因此在第二步中,遵循双自举DEA程序来校正效率得分的偏差,该程序使用Simar和Wilson(2007)的#算法1和#算法2进一步检查效率得分与农业信贷之间的调节关系。研究结果表明,化肥K减少的可能性更高,其次是P和N。来自双自举的证据表明,农业信贷与产量之间存在正相关关系。因此,农场层面的政策、农业信贷的预算影响以及对正确使用化肥的认识将有助于降低生产中的化肥密集度,并通过投入节约战略提高农民的收入。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Iranian Economic Review
Iranian Economic Review Economics, Econometrics and Finance-Economics, Econometrics and Finance (all)
CiteScore
0.70
自引率
0.00%
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