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2012•RePEc: Research Papers in EconomicsRequires access

Research on factors of green purchasing practices of Chinese

Yang Wei-feng, Zhang Yuelei

Open publisher page 32 citations

Abstract

TGreen purchasing is a key strategy for enterprises to reduce waste and improve efficiency and enhance competitiveness. Based on the survey of 144 companies, five Principal components of green purchasing practices were extracted through factor analysis using SPSS statistic software. And then, regression analysis were conducted to verify the hypothesis, it drawed a conclusion on leaders’ support will boost the green purchasing practices and cost of environmental management will hinder the green purchasing practices of Chinese enterprises.

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What this paper is about

TGreen purchasing is a key strategy for enterprises to reduce waste and improve efficiency and enhance competitiveness. Based on the survey of 144 companies, five Principal components of green purchasing practices were extracted through factor analysis using SPSS statistic software. And then, regression analysis were conducted to verify the hypothesis, it drawed a conclusion on leaders’ support will boost the green purchasing practices and cost of environmental management will hinder the green purchasing practices of Chinese enterprises.

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OpenAlex reports 32 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

TGreen purchasing is a key strategy for enterprises to reduce waste and improve efficiency and enhance competitiveness. Based on the survey of 144 companies, five Principal components of green purchasing practices were extracted through factor analysis using SPSS statistic software. And then, regression analysis were conducted to verify the hypothesis, it drawed a conclusion on leaders’ support will boost the green purchasing practices and cost of environmental management will hinder the green purchasing practices of Chinese enterprises.

Key concepts: Purchasing, Statistic, Business, Marketing, Regression analysis, Environmental economics, Economics, Statistics

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