Showing papers in "Energy Economics in 2022"

TL;DR: Wang et al. as discussed by the authors employed panel data of 30 China's provinces for the period 2006-2018 to explore the influence of green finance on green total factor productivity, revealing estimation results that green finance development significantly improves the level of green productivity.

TL;DR: Wang et al. as mentioned in this paper investigated the carbon emission reduction effect of China's industrial structure adjustment, considering the potential spatial effect, the spatial econometric technique is utilized, and they empirically explored the mediating role of energy efficiency in the relationship between industrial structural adjustment and CO2 emissions.

TL;DR: In this article , the authors examined the relationship among environmental performance, green finance, and green innovation in developing countries via panel covariate-augmented Dickey-Fuller unit root test and the Westerlund and Edgerton cointegration test.

TL;DR: Wang et al. as mentioned in this paper investigated Chinese A-share listed companies in the new energy industry for the period 2007-2019 and shed new light on the nexus between fiscal policy uncertainty and corporate innovation investment.

TL;DR: Wang et al. as discussed by the authors used a spatial econometric model to explore the impact of digital financial inclusion on CO 2 emissions covering 284 prefecture-level cities in China, and they found that DFI positively impacts CO2 emissions of local cities, but negatively impacts neighboring cities.

TL;DR: In this paper , the causal relationship among green finance, clean energy, environmental responsibility, and green technology by applying the novel time-varying causality test (Shi et al., 2018, 2020) on the daily data spanning from July 31, 2014, to October 12, 2021.

TL;DR: Wang et al. as discussed by the authors analyzed the impact of financial inclusion on the collaborative reduction of pollutant and carbon emissions using a sample of 30 Chinese provinces from 2011 to 2017, and showed that financial inclusion achieves the collaborative reductions of carbon emissions.

TL;DR: Li et al. as discussed by the authors examined the relationship between climate policy uncertainty (CPU) and firm-level total factor productivity (TFP) using 2605 Chinese A-share listed companies in the mining, manufacturing and energy production and supply sectors from 2009 to 2020.

TL;DR: This article investigated the impact of world energy trilemma and transformative energy developments on economic growth and environmental sustainability of the top ten and near bottom ten selected countries of SDGs index 2021, using investment in non-financial assets and energy use as moderator variables.

TL;DR: Wang et al. as mentioned in this paper used a Difference-in-Differences Model to assess the impact of carbon emissions trading on energy efficiency, and they found that after overcoming endogenous issue and passing a series of robustness tests, the CO2 trading scheme can significantly improve the single-factor and total-factor energy efficiency of cities through green innovation and resource allocation channels.

TL;DR: In this article , the authors explored the influence of information and communication technology (ICT) on energy security in 66 countries for the period 1996-2019 and found that ICT mainly affects energy security through financial development and technological progress.

TL;DR: In this article , the authors investigated the impact of application of industrial robots on energy intensity and found that industrial robots can significantly improve the manufacturing energy intensity, and their hypotheses passed a series of robustness tests.

TL;DR: Li et al. as discussed by the authors employed the difference-in-differences (DID) method to investigate the causal impact of environmental information disclosure on environmental efficiency, and showed that compared with non-PITI cities, environmental efficiency in PITI cities improves by 21.11% relative to the sample average.

TL;DR: In this paper , a rolling window-based Quantile VAR (QVAR) model is used to describe the conditional volatility spillover between energy, biofuel and agricultural commodity markets.

TL;DR: In this paper , the authors focused on China and the United States (US) to assess carbon-dioxide (CO2) abatement in commercial building operations at different emission scales.

TL;DR: In this paper , the authors investigated the volatility spillover effects and the dynamic relationships among WTI crude oil, gold and the Chinese stock markets of new energy vehicle, environmental protection, new energy, coal & consumable fuels, high and new technology, by adopting the method of Diebold and Yilmaz, 2012, Diebold et al. 2014 based on TVP-VAR model.

TL;DR: Wang et al. as mentioned in this paper studied the impact of smart transportation on CO 2 emissions in China by employing spatial econometric models and found that smart transportation can inhibit the CO 2 emission significantly in not only the transportation but also non-transportation sectors.

TL;DR: Wang et al. as discussed by the authors studied the impact of smart transportation on CO2 emissions in China by employing spatial econometric models and found that the overall level of smart transport displays a significant upward trend, and regional heterogeneity exists.

TL;DR: Wang et al. as discussed by the authors explored how information and communication technology (ICT) agglomeration affects the region's carbon emissions by employing a balanced dataset of 41 cities in the Yangtze River Delta region for the period 2003-2016.

TL;DR: Wang et al. as discussed by the authors constructed a comprehensive digital economy index of 30 provinces in China from 2006 to 2017, and estimated the relationship between the digital economy and CO 2 emissions by using the system-generalized method of moments (SYS-GMM) technique.

TL;DR: In this article , the authors empirically assess the impact of education on energy poverty through the lens of human capital theory and find that education has a negative impact on the energy poverty.

TL;DR: In this article , the authors estimated the impact of green finance and digital finance on environmental protection using a quantile regression model and found that CO2 emissions in the environment are reduced by green finance, renewable energy investment, and technological innovation.

TL;DR: Wang et al. as discussed by the authors applied the difference-in-differences method and mediating effect model to estimate the impact of China's ETS on the market power of high-carbon enterprises.

TL;DR: In this article , the authors used the improved Diebold & Yilmaz method based on TVP-VAR-SV model to analyze dynamic connectedness between energy, precious metal, industrial metal, agriculture and livestock commodity markets.

TL;DR: In this paper , the most powerful predictors are selected through the dimension reduction mechanism of the two models, while potential differences of the statistically significant predictors for different quantiles of carbon returns are carefully considered.

TL;DR: Wang et al. as mentioned in this paper investigated the effect of clean energy development measured by the share of clean-energy generation in total electricity generation on CO2 emissions in China, and they found that the overall effectiveness of CO2 emission reduction effort in clean energy developing is partly undermined by the CO2 transfer effect.

TL;DR: In this article , the authors investigated the impact of digitalization on energy and its mechanisms from an international perspective and showed that digitalization reduces energy consumption, decreases energy intensity and optimizes energy structure.

TL;DR: In this article , the authors evaluated the link between human capital, energy consumption, and economic growth using data for the Chinese economy from 1971 to 2018 and found that human capital accumulation has a statistically significant negative effect on all types of energy consumption.

TL;DR: In this paper , the authors examined the interdependence between green bonds and financial markets in the time-frequency domain by utilizing the multivariate wavelet approach and dynamic connectedness through combining Ensemble Empirical Mode Decomposition (EEMD) with Diebold and Yilmaz (2012) spillover framework.

TL;DR: Li et al. as mentioned in this paper analyzed the effect of the implementation of China's environmental tax in 2018 on firms' environmental investments and found that the environmental tax promoted firms' performance by increasing their environmental investments.