The influence of democracy on emissions and energy efficiency in America: New evidence from quantile regression analysis

Chou, Li-Chen; Zhang, Wanhao; Wang, Meng-Ying; Yang, Fu-Ming

doi:10.1177/0958305x19882382

Cited by 46 publications

(18 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Based on the parametric frontier approach of energy efficiency performance, Zhou et al (2012) and Chou et al (2019) derived the estimator of total factor energy productive efficiency through stochastic frontier production function. This paper follows the theory of Zhou et al (2012).…”

Section: The Assessment Of Energy Efficiencymentioning

confidence: 99%

The effect of democracy on energy efficiency in European countries

Chou

Zhang

2020

Economic Research-Ekonomska Istraživanja

Self Cite

View full text Add to dashboard Cite

This study explores to what extent the development of democracy affects energy efficiency. This study applies database reference from Freedom House, Polity IV project, International Country Risk Guide (ICRG) and World Development Indicator (WDI) to analyze the relationship between the level of democracy and energy efficiency of 35 countries in Europe from 1990 to 2013. Controlling for manufacturing value-added, price level, and GDP per capita, we find a significant statistical correlation between the level of democracy and the level of energy efficiency in a country. Empirical findings show that a high level of democracy has a significant positive impact on the improvement of national energy efficiency. Further examinations which employ quantile regression estimates indicate that the positive impact of democratic consolidation is stronger when the country is at the stage of relatively low energy efficiency. Empirical research also demonstrates that the consolidation of democratic institutions and economic development has a positive influence on the awareness of environmental conservation, thereby improving the structure of energy consumption and further reinforce the enhancement of energy efficiency.

show abstract

Section: The Assessment Of Energy Efficiencymentioning

confidence: 99%

The effect of democracy on energy efficiency in European countries

Chou

Zhang

2020

Economic Research-Ekonomska Istraživanja

Self Cite

View full text Add to dashboard Cite

show abstract

“…Most studies in the literature examine the influence of CO 2 emissions, inequality, foreign direct investment, and democracy on green technology [10,15,[68][69][70][71][72][73][74][75][76]. Our study extends the analysis into the effects of technological change, environmental policy, political factors, and economic performance on green technology diffusion in a large panel of world economies.…”

Section: Dynamic Panel Data Modelmentioning

confidence: 97%

On the Determinants of Green Technology Diffusion: An Empirical Analysis of Economic, Social, Political, and Environmental Factors

Ağan

Balcılar

2022

Sustainability

View full text Add to dashboard Cite

The purpose of this study is to investigate the importance of economic, social, political, and environmental factors in determining green technology diffusion. We use a unique annual panel dataset covering 58 nations from 1990 to 2019. Based on dynamic panel data models estimated using system generalized method of moments (GMM), we test whether the technological achievement of nations, general technology diffusion trends, environmental performance, democratic accountability, income distribution, foreign direct investment, income level, and socioeconomic conditions are significant determinants. Our findings indicate that green technology diffusion has a significant relationship with all of these factors. We obtain new evidence that general or brown technological innovation, diffusion, and achievement trends in a country are significant drivers of environmental technology diffusion. The findings of our paper have significant implications for sustainable development, given the importance of green products and technologies. The results of the study suggest that policies aimed at promoting the diffusion of green technologies may not be successful in the presence of unfavorable economic, social, political, or environmental conditions.

show abstract

“…The present study found that the number of studies focusing on new energy policy increases over time. However, most studies focus on the relationship between new energy and low-carbon development (Xu et al, 2019;Chou et al, 2020;Su et al, 2022). Few studies focused on Chinese people's new energy usage behavior (NEUB) and not many studies discussed the impacts on Chinese NEUB by its cognitions of energy-related environmental accidents (CEREA) and people's cognitions of new energy policies (CNEP).…”

Section: Introductionmentioning

confidence: 99%

A Pilot Assessment of New Energy Usage Behaviors: The Impacts of Environmental Accident, Cognitions, and New Energy Policies

Zhang¹,

Huang²

2022

Front. Environ. Sci.

View full text Add to dashboard Cite

Literature reviews and interviews with experts showed that new energy would be the future way of life instead of traditional energy. In this study, a questionnaire survey and SPSS model are used to examine the impacts on people’s new energy usage behavior (NEUB) by its cognitions of energy-related environmental accidents (CEREA) and new energy policies (CNEP), as well as other important factors affecting this behavior. The new energy usage behavior examines people’s new energy usage behavior of product usage (NEUBPU) and forecasted payment (NEUBFP). Among the influencing factors, people’s cognitions of energy-related environmental accidents (CEREA), people’s cognitions of new energy policies (CNEP), new energy characteristics (CNEC), new energy advantages (CNEA), and new energy disadvantages (CNED) are examined, and the influence of personal factors on NEUB is also examined. People’s new energy usage behavior of new energy stove (NEUBNES), new energy car (NEUBNEC), and NEUBFP are significantly positively correlated with CNEP; NEUBNEC is significantly positively correlated with CNEA, and NEUBFP is significantly positively correlated with CNEP and CNED. CNEC and CNEP significantly influence people’s new energy usage behavior of household photovoltaic system (NEUBHPS); CNEP significantly influences NEUBNES; age, monthly income, CNEA, and CNEP significantly influence NEUBNEC; age, monthly income, and CNEP significantly influence NEUBFP.

show abstract

The influence of democracy on emissions and energy efficiency in America: New evidence from quantile regression analysis

Cited by 46 publications

References 38 publications

The effect of democracy on energy efficiency in European countries

The effect of democracy on energy efficiency in European countries

On the Determinants of Green Technology Diffusion: An Empirical Analysis of Economic, Social, Political, and Environmental Factors

A Pilot Assessment of New Energy Usage Behaviors: The Impacts of Environmental Accident, Cognitions, and New Energy Policies

Contact Info

Product

Resources

About