Regional rural development index of municipalities from the State of Mato Grosso do Sul

Abstract The purpose of this paper consisted to determine the level of rural development for municipalities from the State of Mato Grosso do Sul and its categorization, selecting relevant variables to compose the set of regional determining characteristics. To achieve this goal, the constitution of the Regional Rural Development Index (RRDI) was proposed, obtained through the latent factors, generated by the factor analysis, using the Principal Component Analysis (PCA) as an extraction method. This index was obtained based on 29 indicators derived from secondary data of the 2006 Agriculture Census and the 2010 Population Census. Among the main results is the extraction of seven latent factors, explaining 85,47% of the total accumulated variance, which represented characteristics related to rural health-domestic and production infrastructure, agricultural productivity, environmental preservation and degradation, educational and demographic aspects, agricultural jobs, and the relevance of land titling. The composition of these variables allowed IDRR to contribute empirically in determining the levels of localities rural development and to reveal a relatively homogeneous regional rural development pattern for the municipalities analyzed.

摘要 本研究旨在确定南马托格罗索州（Mato Grosso do Sul）各市政辖区的农村发展水平并开展分类工作，遴选相关变量以构建区域决定性特征集合。为达成该研究目标，本文提出构建区域农村发展指数（Regional Rural Development Index, RRDI），该指数通过因子分析生成的潜在因子计算得到，以主成分分析（Principal Component Analysis, PCA）作为因子提取方法。本指数基于2006年农业普查与2010年人口普查的二手数据衍生出的29项指标构建。主要研究结果包括提取得到7个潜在因子，可解释累计总方差的85.47%，这些因子分别对应农村卫生、家庭与生产基础设施、农业生产力、环境保护与退化、教育与人口特征、农业就业以及土地确权的重要性。通过上述变量的组合，区域农村发展指数（RRDI）可为判定各地辖区的农村发展水平提供实证依据，并揭示所分析的各市政辖区呈现出相对均质的区域农村发展格局。