The effects of economic growth on the environment in Korea, for a given level of energy consumption, and fossil fuels and nuclear energy in electricity production, are examined in a dynamic cointegration framework. To that end, the autoregressive distributed lag (ARDL) approach is used. We find...

Energy Efficient Technologies (EET) have attracted strong interest because of their role in reducing environmental damage. Their adoption, however, remains rather low, while their impact on productivity is substantial and differentiating with respect to technological characteristics. Energy...

Carbon taxes or tradable permit systems to address climate change may induce research and development in energy-related technologies. We construct a single-knowledge-stock model of R&D, growth and climate to assess the importance of this effect. The contribution of induced R&D is shown to be...

From an engineering perspective, climate change can affect the energy sector in a number of ways, such as changes in the efficiency of power plants and increases in peak demand due to higher cooling demand in hotter summers. This article reviews how integrated assessment models have estimated...

This paper examines the relationship between financial development, CO2 emissions, trade and economic growth using simultaneous-equation panel data models for a panel of 12 MENA countries over the period 1990–2011. Our results indicate that there is evidence of bidirectional causality between...

As the world's largest developing economy, China plays a key role in global climate change and other environmental impacts of international concern. Environmentally extended input–output analysis (EE-IOA) is an important and insightful tool seeing widespread use in studying large-scale...

In this paper, we apply a spread-based real options approach to analyze the decision-making problem of an investor who has the choice between an irreversible investment in a condensing power plant without heat utilization and a plant with combined heat-and-power (CHP) generation. Our...

This paper aims to investigate the often poorly explored link between power sector reforms and wider institutional reforms in the economy across different groups of transition countries. We use panel-data econometrics based on bias corrected dynamic fixed effect analysis (LSDVC) to assess the...

This study explores heterogeneity in individual willingness to pay (WTP) for a public good using several different variants of the multinomial logit (MNL) model for stated choice data. These include a simple MNL model with interaction terms between respondent characteristics and attribute...

This paper examines the causal relationship between economic growth and electricity generation from renewable sources (biomass, geothermal, hydroelectric, solar, waste, and wind) across 20 OECD countries over 1990 to 2008. The results from a commonly used panel error correction model find (a) a...