The effect of corruption on carbon dioxide emissions in APEC countries: A panel quantile regression analysis

Yue-Jun Zhang (), Yan-Lin Jin, Julien Chevallier and Bo Shen

Technological Forecasting and Social Change, 2016, vol. 112, issue C, 220-227

Abstract: The relationship between corruption and CO2 emissions has been receiving increased attention in recent years, but little work has been conducted for the Asia-Pacific Economic Cooperation (APEC) countries even if they have determined to fight against corruption and address climate change. Using the quantile regression approach, this paper develops a panel data model for the effect of corruption on CO2 emissions in APEC countries. The empirical results show that, first of all, the effect of corruption on CO2 emissions is heterogeneous among APEC countries. Specifically, there is significant negative effect in lower emission countries, but insignificant in higher emission countries. Second, there exists an inverted U-shaped Environmental Kuznets Curve (EKC) between corruption and CO2 emissions, and the per capita GDP at the turning point of the EKC may increase when CO2 emissions increase. Finally, corruption may have not only a negative direct effect on CO2 emissions, but also a positive indirect effect through its effect on per capita GDP. The total effect appears positive, which indicates corruption may worsen environmental quality overall in APEC countries.

Keywords: Corruption; CO2 emissions; APEC; Panel quantile regression (search for similar items in EconPapers)
JEL-codes: C21 D73 Q57 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (58)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:112:y:2016:i:c:p:220-227

DOI: 10.1016/j.techfore.2016.05.027

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