2017
DOI: 10.1016/j.euroecorev.2017.07.011
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CO 2 emission intensity and exporting: Evidence from firm-level data

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Cited by 86 publications
(62 citation statements)
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References 60 publications
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“…This matches well recent empirical findings at the firm-level (cf Forslid et al, 2018;Richter and Schiersch, 2017;Holladay, 2016)…”
supporting
confidence: 91%
“…This matches well recent empirical findings at the firm-level (cf Forslid et al, 2018;Richter and Schiersch, 2017;Holladay, 2016)…”
supporting
confidence: 91%
“…This is because economic development and, consequently, financial development and human capital are unbalanced and vary a lot across areas in China. Also, it is worthwhile to exploit the environmental impact of financial development by further separating it into formal and informal finance, as in Ayyagari, Demirgüç-Kunt, and Maksimovic (2010), or by doing this at firm-level, as in Forslid, Okubo Karen, and Ulltveit-Moe (2014) and Richter and Schiersch (2017). These avenues are left for future research.…”
Section: Discussionmentioning
confidence: 99%
“…They show that economic growth and increasing the share of the tertiary industry can significantly reduce carbon emission intensity, whereas promoting urbanization has an adverse effect. Cole, Elliott, Okubo, and Zhou (2013), Forslid, Okubo Karen, and Ulltveit-Moe (2014), and Richter and Schiersch (2017) analyze the impact of export activities on CO 2 emission intensity at firm-level. They all find that exporting activities can reduce firms' CO 2 emission intensity.…”
Section: Related Literaturementioning
confidence: 99%
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“…The final dataset used in the production function estimations is an unbalanced panel with 174,863 observations. Table 1 shows the main 17 We follow Richter and Schiersch (2017) and drop observations from the mining industries, from manufacturing of tobacco products (C12), and from manufacturing of refined petroleum products (C19). The number of observations is insufficient in these industries, which leads to conflicts with the privacy policy rules applied in the Statistical Offices.…”
Section: Descriptive Statisticsmentioning
confidence: 99%