Showing papers in "Energy Policy in 2019"

TL;DR: In this paper, a time series analysis based on macro-level data was conducted to understand how much financial development contributes to renewable energy development in China, and more importantly what aspects of financial development matter.

TL;DR: In this paper, the authors examined the energy efficiency performance of a sample of 71 developed and developing countries between 1990 and 2014 and found evidence of a significant positive influence of both green innovation and institutional quality on energy efficiency enhancement having controlled for some variables.

TL;DR: In this paper, the authors show that green technology innovations can only take effects for economies with high income, and it is difficult to find significant evidence that green technologies positively impact carbon productivity in less developed economies.

TL;DR: In this paper, the authors analyzed the impact of environmental regulation policies on green productivity growth in OECD countries' industrial sectors using an extended SBM-DDF approach and found that the impact turns to be adverse when the environmental regulation policy is stringent over a certain level.

TL;DR: Wang et al. as discussed by the authors used the panel data from 2000 to 2016 of 30 provincial-level administrative regions in China and adopted the Propensity Score Matching-Difference in Differences method to test the impact of China's carbon trading pilot system on the transformation of a low carbon economy.

TL;DR: In this paper, the authors applied an autoregressive distributed lag (ARDL) methodology to a panel data of 28 European Union (EU-28) countries over the period 1995-2015.

TL;DR: Li et al. as discussed by the authors explored the possible nonlinear relationship between energy consumption and urbanization in China, and showed that energy consumption is conducive to promote China's urbanization at the current stage of development.

TL;DR: Wang et al. as mentioned in this paper proposed a novel integrated approach incorporating industrial structure adjustment measurement, super-efficiency slacks-based measure with undesirable outputs and panel regression models to explore the effect of industrial structure adjusting on green development efficiency.

TL;DR: In this paper, the authors used household-level survey data in China to construct a quantitative measure of energy poverty, covering both affordability of and accessibility to a broad range of forms of energy, and built an econometric model to address empirically how much energy poverty affects health.

TL;DR: In this paper, the authors examined whether energy security contributes to economic growth for a global sample of 74 countries covering the period from 2002 to 2013 and found that energy security enhances economic growth.

TL;DR: Li et al. as discussed by the authors used a GML index based on SBM directional distance function to evaluate provincial green total factor productivity (GTFP) and quantitatively analyzed the BRI's net effect on provincial GTFP.

TL;DR: In this article, the authors argue that the concept of renewable energy is problematic and should be abandoned in favor of more unambiguous conceptualization and discuss alternative conceptualizations and present a model of categorizing energy production according to carbon content and combustion.

TL;DR: In this paper, an empirical model was developed to investigate the causal link between renewable and non-renewable electricity consumption, GDP and carbon emissions by using a panel of 9 Mediterranean countries over the period 1980-2014.

TL;DR: In this article, the authors examined the linkages between energy price and food prices over the period 2000-2016 by using a Panel-VAR model in the case of eight Asian economies.

TL;DR: Wang et al. as mentioned in this paper constructed a panel threshold effect model to investigate the threshold effect of government subsidies on renewable energy investment and further explored the effects and differences regarding government subsidy types and enterprise size.

TL;DR: In this article, the authors compare the levelised cost of energy (LCOE) metric with alternative cost-of-energy metrics and conduct a brief literature review to describe its strengths and weaknesses.

TL;DR: In this article, the authors examined the impact of population and energy price on China's environmental pollution through both industrial and residential channels and showed that the influences of population on environmental pollution are contingent on wage stickiness and wage elasticity.

TL;DR: In this paper, the authors show the progress in attributes and prices of battery electric vehicles (BEV) and analyse in which market segments long range BEV can be produced at comparable cost to conventional cars.

TL;DR: Wang et al. as discussed by the authors examined public perceptions and acceptance of nuclear energy, and explored the effects of public knowledge about nuclear energy and perceived benefit, perceived risk and public engagement on public acceptance.

TL;DR: In this paper, the authors explore the evolving renewable energy prosumer phenomenon in the United Kingdom (UK) and identify and evaluate how prosumer business models can exist beyond direct subsidy and the range of prosumers business model archetypes currently in operation.

TL;DR: Li et al. as mentioned in this paper used a complex network evolutionary game method to explore the dynamic impacts of government policies on EV diffusion in different scale networks, which showed that with the increase in manufacturers in the network, the degree of EV diffusion increases accordingly at the same government policy level.

TL;DR: In this article, a diffusion model of energy technology based on endogenous technology learning under bounded rationality is developed to explore the possible impacts of different carbon tax conditions on the diffusion of energy technologies in China.

TL;DR: In this paper, the extent and determinants of multidimensional energy poverty in Ghana between 2008 and 2014 were assessed using repeated cross-sectional data, and the results reveal significant relationships between household characteristics and the multi-dimensional energy poverty status of households.

TL;DR: This paper presents a methodology which is based on the combination of a MCDM methodology called Analytical Hierarch Process (AHP) and GIS in order to determine the most suitable locations for wind farms installation.

TL;DR: In this article, the authors focus on the use of reverse auction processes able to deliver low-price solar and wind contracts, as are being successfully employed in India, on tax and subsidy reform options, on regulatory and incentive-design strategies, on approaches to bolster grid management capacities, and on the importance of minimizing protectionist barriers.

TL;DR: Wang et al. as discussed by the authors presented a China Building Construction Model (CBCM) based on a process-based life cycle assessment (LCA) approach and discussed the trends in energy consumption of and carbon emission regarding China's building construction sector from 2000 to 2016.

TL;DR: In this paper, the authors argue that these announcements are predominantly a form of political signaling in a green industrial policy competition for alternative transport technologies, notably electric vehicles, which explains the clustered timing of political signals.

TL;DR: In this paper, the authors focus on the political economy of low-carbon innovations, identifying particular tensions alongside who wins and who loses, as well as the scope and temporality of those consequences.

TL;DR: In this paper, the authors extend and use the PRIMES energy model to explore pathways towards climate-neutrality in the EU by 2050 and 2070 and analyse implications on energy demand, supply and costs.

TL;DR: In this paper, a choice experiment survey with 2000 respondents across four nations (Germany, Austria, Italy, and Switzerland) showed that solar farms and power-to-gas infrastructure increase acceptance of local energy communities, while wind farms have an ambiguous effect and gas power plants and power lines decrease acceptance.