Effects of Agricultural Inputs Use on Agricultural Productivity in Nepal: An Empirical Study

Sujan Ghimire, A. Dhakal
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Abstract

Agricultural inputs have crucial role to deliver increased productivity and sustained agricultural growth in an economy. However, adequate empirical research is not available related to effects of agricultural inputs use on agricultural productivity in Nepalese context. Thus, empirical study was conducted so as to reveal the effects of agricultural inputs use in agricultural production sector. This study utilized time series data of 30 years (1990 to 2019) retrieved from various secondary data sources of agricultural input supply in Nepal. Then, data obtained were processed and analyzed in two ways: First, Compound Annual Growth Rate (CAGR) of different agricultural inputs were estimated using Log-Lin regression model. Second, the parameters estimates of Cobb-Douglas regression analysis was obtained taking Agricultural GDP as the dependent variable and independent variables viz. cultivated area, irrigated area, population engaged in agriculture, fertilizer consumption, pesticides application, improved seeds used and government expenditure. The results depicted that growth rate of various agricultural inputs use had raised significantly and was in increasing trend during the study period. Furthermore, cultivated area, irrigated area and pesticides application were found statistically significant and had significant impact on growth of agricultural GDP (Gross Domestic Product).
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尼泊尔农业投入物使用对农业生产力影响的实证研究
农业投入品在提高生产力和促进农业持续增长方面发挥着至关重要的作用。然而,关于尼泊尔农业投入物使用对农业生产力的影响,还没有充分的实证研究。因此,本文进行了实证研究,以揭示农业投入物在农业生产部门使用的影响。本研究利用了从尼泊尔农业投入供应的各种二手数据源中检索的30年(1990年至2019年)时间序列数据。然后,对数据进行两方面的处理和分析:首先,利用Log-Lin回归模型估算不同农业投入品的复合年增长率(CAGR)。其次,以农业GDP为因变量,以耕地面积、灌溉面积、从事农业的人口、化肥用量、农药用量、良种用量和政府支出为自变量,得到Cobb-Douglas回归分析的参数估计。结果表明:研究期间,各类农业投入品的使用增长率显著提高,并呈增加趋势。耕地面积、灌溉面积和农药施用量对农业GDP的增长具有显著的统计学意义。
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