2008
DOI: 10.1007/s11625-008-0048-y
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Motivation of Japanese companies to take environmental action to reduce their greenhouse gas emissions: an econometric analysis

Abstract: To analyze the motivations of Japanese companies to take environmental actions to reduce their greenhouse gas (GHG) emissions, we used FY2006 research data and questioned Japanese industries regarding their reduction of GHG emissions. Empirical investigations revealed that voluntary targets set by industry organizations, government requirements, and advance responses to possible future regulations can positively influence environmental actions for GHG emission reduction; however, cost reductions and corporate … Show more

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Cited by 9 publications
(4 citation statements)
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“…Perceptions of decision-makers that influence 3CM. Surveys are used by Ikkatai et al (2008); Sangle (2011) andBoiral et al (2012); Mittal and Sangwan (2014) as well as Pålsson and Kovács (2014) to test the influence of corporate decision-makers' perceptions on 3CM. Ikkatai et al (2008) finds that decision-makers of Japanese corporations are encouraged to reduce GHG emissions by means of industry-specific GHG reduction targets and GHG regulation at a national level.…”
Section: The Assessment Of Factors That Influence 3cmmentioning
confidence: 99%
See 1 more Smart Citation
“…Perceptions of decision-makers that influence 3CM. Surveys are used by Ikkatai et al (2008); Sangle (2011) andBoiral et al (2012); Mittal and Sangwan (2014) as well as Pålsson and Kovács (2014) to test the influence of corporate decision-makers' perceptions on 3CM. Ikkatai et al (2008) finds that decision-makers of Japanese corporations are encouraged to reduce GHG emissions by means of industry-specific GHG reduction targets and GHG regulation at a national level.…”
Section: The Assessment Of Factors That Influence 3cmmentioning
confidence: 99%
“…Surveys are used by Ikkatai et al (2008); Sangle (2011) andBoiral et al (2012); Mittal and Sangwan (2014) as well as Pålsson and Kovács (2014) to test the influence of corporate decision-makers' perceptions on 3CM. Ikkatai et al (2008) finds that decision-makers of Japanese corporations are encouraged to reduce GHG emissions by means of industry-specific GHG reduction targets and GHG regulation at a national level. Sangle (2011) showed a significant positive relationship between the adoption of cleaner technologies by Indian corporations and the perceived financial costs of climate change, perceived internal technical competence and perceived regulatory pressures.…”
Section: The Assessment Of Factors That Influence 3cmmentioning
confidence: 99%
“…As a scarce natural resource, fossil energy has begun to set more limits to urbanization process and economic growth, especially in the context of fossil energy crisis [2]. Furthermore, the tremendous increase of energy consumption may accelerate global warming and climate change, which are considered two of the major issues facing our planet [9][10][11][12]. As the largest developing country in the world, with rapid economic growth, China has witnessed fast-paced urbanization development over the past three decades.…”
Section: Introductionmentioning
confidence: 99%
“…Although policy intervention is required to resolve the issue of global warming, the policy mix to reduce GHG emissions, specifically direct regulation, including emission controls and energy consumption regulation, and indirect regulation, including deposit–refund systems, charges and taxes, emission trading and financial assistance, has not functioned effectively in Japan (Dawson and Segerson, ; Ikkatai et al ., ; Iwata et al ., ; Murase, ). As an alternative approach, policymakers have attempted to encourage firms to voluntarily reduce GHG emissions rather than compulsorily requiring this through regulations, as the voluntary approach is recognized as being more flexible and effective and less costly than direct and indirect regulations (Arimura et al ., ; Ikkatai et al ., ). Accordingly, firms have been expected to reduce voluntarily GHG emissions.…”
Section: Introductionmentioning
confidence: 99%