本文選題：面板數(shù)據(jù)　切入點(diǎn)：因子分析　出處：《西南師范大學(xué)學(xué)報(bào)(自然科學(xué)版)》2017年09期 　論文類型：期刊論文

【摘要】：針對(duì)已有文獻(xiàn)面板數(shù)據(jù)因子分析模型在實(shí)際應(yīng)用中存在的不足,將每一年綜合得分最高和最低的截面數(shù)據(jù)因子分別作為最優(yōu)和最劣向量,通過TOPSIS理論求出每個(gè)研究對(duì)象的最優(yōu)因子方案接近度.以中國的服務(wù)業(yè)發(fā)展為例,用模型的最優(yōu)因子方案接近度來描述各個(gè)地區(qū)服務(wù)業(yè)發(fā)展?fàn)顩r,研究發(fā)現(xiàn)多數(shù)省份服務(wù)業(yè)發(fā)展與最優(yōu)因子方案接近度相差較大.
[Abstract]:In view of the shortcomings of the existing literature panel data factor analysis model in practical application, the section data factors with the highest and lowest comprehensive scores in each year are regarded as the optimal and the worst vectors, respectively. The approach degree of the optimal factor scheme for each research object is obtained by TOPSIS theory. Taking the development of service industry in China as an example, the development of service industry in various regions is described by the approach degree of the optimal factor scheme of the model. It is found that the closeness between the service industry development and the optimal factor scheme in most provinces is quite different.
【作者單位】： 北京工業(yè)大學(xué)應(yīng)用數(shù)理學(xué)院;遵義師范學(xué)院數(shù)學(xué)與計(jì)算科學(xué)學(xué)院;
【基金】：國家自然科學(xué)基金項(xiàng)目(71461027) 貴州省自然科學(xué)基金項(xiàng)目(黔教合KY[2014]295) 貴州省科技合作計(jì)劃課題(黔科合LH字[2015]7055號(hào)) 貴州省優(yōu)秀青年科技人才培養(yǎng)對(duì)象專項(xiàng)資金(黔科合人字[2015]06號(hào))
【分類號(hào)】：F224;F719

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