Showing papers in "Environmental Impact Assessment Review in 2022"

TL;DR: Wang et al. as discussed by the authors developed an evaluation system to measure China's digital economy by using provincial panel data from 2007 to 2019, including digital economy development carrier, digital industrialization, industrial digitalization, and digital economy environment.

TL;DR: Wang et al. as mentioned in this paper found that corporates tend to crowd out their investment in environmental conservation when local governments are under high pressure to address growth targets, and evidence shows that corporate environmental investment decreases given that competition on economic growth target drives local officials to relax environmental regulation intensity, especially for cities with high-promotion-incentives officials.

TL;DR: In this paper , the authors investigate the influence mechanism of incentive and mandatory environmental regulations on energy efficiency and carbon dioxide (CO2) emissions in the logistics industry and find that incentive environmental regulations make a greater contribution to CO2 emission reduction in Ningxia, Qinghai, and Hainan provinces, due to their more aggressive levy of pollution fees.

TL;DR: Wang et al. as discussed by the authors investigated the effect of smart city policy on urban green total-factor productivity (GTFP) in China using balanced panel data for 283 prefecture-level cities from 2004 to 2017.

TL;DR: Wang et al. as mentioned in this paper examined the influential factors of China's CEEI at both national and provincial level and explored targeted provincial strategies, which are critical for China to control its CEEIs effectively and to achieve its carbon peaking aim.

TL;DR: In this paper , a dynamic spatial panel model is employed to test the effects of the policy, the mechanisms of action and the channels of two sorts of environmental regulations on GTFP.

TL;DR: In this article , a non-cooperative tripartite evolutionary game is employed to model the dynamic strategy interactions among local governments, polluting enterprises, and the public for participatory governance.

TL;DR: In this paper , the authors investigated the potential transmission role of industrial upgrading in the effect of participating in global value chains (GVCs) on carbon emissions and provided a reference for governments of developing countries to effectively participate in the division and cooperation of production, conduct industrial upgrading, and reduce pollution emissions.

TL;DR: In this article, the authors used the panel data of 31 provinces in China from 1997 to 2017, combining with the carbon emission accounting formula, Theil index method and convergence model, to analyze the spatiotemporal heterogeneity, convergence and its impact factors of carbon emission intensity (CEI) and carbon emission per capita (CEPC) of planting industry considering carbon sink effect.

TL;DR: In this article , the authors used the panel data of 31 provinces in China from 1997 to 2017, combining with the carbon emission accounting formula, Theil index method and convergence model, to analyze the spatiotemporal heterogeneity, convergence and its impact factors of carbon emission intensity (CEI) and carbon emission per capita (CEPC) of planting industry considering carbon sink effect.

TL;DR: Based on the panel data of 30 provincial regions in China from 2000 to 2019, the authors uses the spatial Durbin model to perform a spatial econometric investigation on the impact of population migration on energy consumption and carbon emissions.

TL;DR: In this paper, the structural paths and sensitivity of construction CO2 emissions in China, India, Japan, Russia, and USA were assessed by applying the multi-regional structural path analysis model and sensitivity analysis model, respectively.

TL;DR: Zhang et al. as discussed by the authors evaluated the effect of China's EC construction by the target correlation and system coupling aspects from national five-year plan and EC connotation of China perspectives.

TL;DR: In this paper , a two-stage DEA model is used to construct indicators to measure Chinese 30 provinces mining technological innovation efficiency (MTIE), mining eco-efficiency (MEE), and mining comprehensive efficiency (MCE).

TL;DR: In this paper , an urban sprawl model was developed for quantifying US from remotely sensed nighttime light data, and the degree of EUC were then verified in different city sizes, stages, and regions.

TL;DR: In this article , the authors explored researchers' perspectives on the main strengths and weaknesses of EIA so they may advance recommendations to improve the quality and effectiveness of environmental impact assessment (EIA) procedures for more sustainable outcomes.

TL;DR: Wang et al. as discussed by the authors investigated the impact of China's Western Development Strategy (WDS) on energy conservation and emission reduction in terms of financial development, infrastructure supply, and marketization level.

TL;DR: In this article, the authors explored researchers' perspectives on the main strengths and weaknesses of EIA so they may advance recommendations to improve the quality and effectiveness of environmental impact assessment (EIA) procedures for more sustainable outcomes.

TL;DR: In this article , a conceptual framework and corresponding evaluation index system composed of agricultural production, rural environment, and farmers' well-being was introduced to measure the three dimensions of sustainable agriculture and rural development and their coupling coordination in the Beijing-Tianjin-Hebei (BTH) region, a region containing a highly developed urban agglomeration with a surrounding poverty belt.

TL;DR: In this paper , the authors analyzed the 3D spatio-temporal dynamic evolution characteristics of PM2.5 concentrations in China based on pixel and urban-scale data from 2000 to 2019 and using emerging spatial and temporal hot spots.

TL;DR: In this paper , the structural paths and sensitivity of construction CO 2 emissions in China, India, Japan, Russia, and USA were assessed by applying the multi-regional structural path analysis model and sensitivity analysis model, respectively.

TL;DR: Wang et al. as mentioned in this paper used PM2.5 concentration to characterize the degree of air pollution and constructed a quantile regression model to empirically analyze the urban-rural income gap and air pollution by using Chinese provincial panel data from 2005 to 2018.

TL;DR: In this paper , a case study based on questionnaires in Shenzhen (in southern China) and Tianjin (in northern China) was conducted before the similarities and differences of the two megacities were identified in a comparative analysis.

TL;DR: Zhang et al. as mentioned in this paper used the Geographically weighted regression model to study the spatial heterogeneity of demographic structure changes on carbon emissions and the corresponding mechanism at the micro-level.

TL;DR: Zhang et al. as mentioned in this paper reviewed the mining situation and related ecological impacts in the Belt and Road areas, analyzed the factors impeding ecological restoration capability, assessed the capability, and then presented the key challenges and promotion strategy.

TL;DR: In this paper, an empirical approach based on the Environmentally Sensitive Area Index (ESAI) was illustrated with the aim at assessing long-term changes in the level of land vulnerability during a time interval that reflects divergent socioeconomic dynamics in Italy, an affected country according with the United Nation Convention to Combat Desertification (UNCCD).

TL;DR: Wang et al. as discussed by the authors designed and conducted a random survey of four first-tier cities in China to identify the variables influencing residents' willingness to pay for garbage classification, based on the ordered Probit model, the results show that different groups have substantial differences in supporting garbage classification.

TL;DR: In this article , the authors introduce financing constraints into a partial equilibrium analysis framework for heterogeneous enterprises and theoretically reveal the mechanism in how financing constraints affect enterprise pollutant emissions, showing that financing constraints can significantly increase the emissions intensity of enterprises.

TL;DR: In this article , an empirical approach based on the Environmentally Sensitive Area Index (ESAI) was illustrated with the aim at assessing long-term changes in the level of land vulnerability during a time interval that reflects divergent socioeconomic dynamics in Italy, an affected country according with the United Nation Convention to Combat Desertification (UNCCD).

TL;DR: In this paper , the authors link the Bounded-Adjusted Measure (BAM) model to the managerial disposability model to measure inefficiency with regards to individual input/output variables and identify whether a certain unit should follow the natural or managerial disposality to reduce the overall inefficiency.