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How does a firm’s management of greenhouse gas emissions influence its economic performance? Analyzing effects through demand and productivity in Japanese manufacturing firms

Kimitaka Nishitani, Shinji Kaneko, Satoru Komatsu and Hidemichi Fujii

Journal of Productivity Analysis, 2014, vol. 42, issue 3, 355-366

Abstract: This paper analyzes how a firm’s management of greenhouse gas (GHG) emissions affects its economic performance. The theoretical model we derive from Cobb–Douglas production and inverse demand functions predict that in conducting GHG emissions management, a firm will enhance its economic performance because it promotes an increase in demand for its output and improves its productivity. The estimation results, using panel data on Japanese manufacturing firms during the period 2007–2008, support the view that a firm’s GHG emissions management enhances a firm’s economic performance through an increase in demand and improvement in productivity. However, the latter effect is conditional. Although a firm’s efforts to maintain lower GHG emissions improves productivity, efforts to reduce GHG emissions further does not always improve it, especially for energy-intensive firms. Because firms attempting to maintain lower GHG emissions are more likely to improve their productivity, there is a possibility that firms with high GHG emissions can also enhance economic performance by reducing their emissions in the long term, even if additional costs are incurred. In addition, better GHG emissions management increases the demand of environmentally conscious customers because a product’s life cycle GHG emissions in the upper stream of the supply chain influence those in the lower stream, and customers evaluate the suppliers’ GHG emissions management in terms of green supply-chain management. Copyright Springer Science+Business Media New York 2014

Keywords: Greenhouse gas emissions management; Economic performance; Increase in demand; Improvement in productivity; Random-effects instrumental variables model; C36; M20; Q56 (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (16)

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DOI: 10.1007/s11123-014-0388-9

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