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The political economy of energy regulation in OECD countries · Study

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ArticleThe political economy of energy regulation in OECD countries

Chun‐Ping Chang2011

Article2011

The political economy of energy regulation in OECD countries

Chun‐Ping Chang · Aziz N. Berdiev

107 citations·0/0 files stored·Energy Economics

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Political Influence and Corporate Strategies Global Energy Security and Policy Energy, Environment, Economic Growth

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References

1991Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations 1998Initial conditions and moment restrictions in dynamic panel data models 1995Initial conditions and moment restrictions in dynamic panel data models 1981Biases in Dynamic Models with Fixed Effects 1977Political Parties and Macroeconomic Policy 2006Does globalization affect growth? Evidence from a new index of globalization 2001New Tools in Comparative Political Economy: The Database of Political Institutions 1999Estimating dynamic panel data models: a guide for macroeconomists

Cited by

2016Does government ideology influence environmental performance? Evidence based on a new dataset 2018Is higher government efficiency conducive to improving energy use efficiency? Evidence from OECD countries 2022The influence of political ideology on greenhouse gas emissions 2019The impacts of government ideology on innovation: What are the main implications?2020The impact of environmental policy stringency on air quality

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Year2011

Typearticle

Published2011-06-27

VenueEnergy Economics

ISSN-L0140-9883

Languageen

Citations107

Files0 public / 0

ShelfPolitical Influence and Corporate Strategies

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doi10.1016/j.eneco.2011.06.001

openalex_workW2033438552

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2023The relationship between climate risk, climate policy uncertainty, and CO2 emissions: Empirical evidence from the US

2014Do government ideology and fragmentation matter for reducing CO2-emissions? Empirical evidence from OECD countries

2017Does government ideology affect environmental pollutions? New evidence from instrumental variable quantile regression estimations