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Factors Influencing Crop Diversification in Different Agro - Climatic Zones of West Bengal: An Application of Principal Component Analysis

机译:西孟加拉邦不同农业气候带农作物多样化的影响因素:主成分分析的应用

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The state of West Bengal has been divided into three agro-climatic regions that can further be stratified into six agro-climatic sub-regions, with specific climatic features. Each climatic sub-region (or zone) has different possibilities of crop production determined by its agro-climatic features along with demand and supply related factors. Farmers have been observed to practice crop diversification in each sub-zone. Crop diversification is an effective method of eliminating uncertainty involved in agriculture and raising farmers’ income. The present study intends to analyze the pattern of crop diversification and the factors influencing it in different agro-climatic zones of West Bengal. The Simpson’s index has been used to estimate diversification. The results show that all the zones (except Eastern Plateau & Hilly zone), as well as the state of West Bengal as a whole, have witnessed -rising crop diversification since the new millennium compared to the nineties. The Principal Component Regression (PCR) has been used to identify the factors that influence the shift in cropping pattern in each agro-climatic zone. Eleven variables have been included in the Principal Component Analysis (PCA). The first four Eigenvalues capture maximum variability and the corresponding four components have been selected for PCR. Both the supply-side and the demand-side variables have been taken into consideration for analyzing PCA. The demand-side factors like the size of the urban population, per capita income and supply-side variables such as the proportion of small landholders, area under High Yielding Varieties (HYV) and density of markets play a significant role in determining crop diversification in all the agro climatic zones (except ‘Eastern Plateau and Hilly zone’).
机译:西孟加拉邦已分为三个农业气候区,可以进一步分为六个具有特定气候特征的农业气候子区。每个气候分区(或区域)都有不同的农作物生产可能性,这取决于其农业气候特征以及与需求和供应有关的因素。已经观察到农民在每个分区都实行作物多样化。作物多样化是消除农业不确定性并增加农民收入的有效方法。本研究旨在分析西孟加拉邦不同农业气候区的农作物多样化模式及其影响因素。辛普森指数已用于估算多元化程度。结果表明,与新世纪相比,自九十年代以来,所有地区(东部高原和丘陵区除外)以及整个西孟加拉邦的农作物多样化都在上升。主成分回归(PCR)已被用于识别影响每个农业气候区中种植方式转变的因素。主成分分析(PCA)中已包含11个变量。前四个特征值捕获最大可变性,并且已为PCR选择了相应的四个成分。在分析PCA时,已经考虑了供应方和需求方变量。需求方面的因素,如城市人口的规模,人均收入和供应方面的变量,如小土地所有者的比例,高产品种的面积和市场密度,在决定农作物多样化方面起着重要作用。所有农业气候带(“东部高原和丘陵带”除外)。

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