Abstract With the implementation of China’s top-down CO 2 emissions reduction strategy, regional differences should be considered. As most basic governmental unit in China, counties could better capture heterogeneity than provinces and prefecture-level city, county-level used for development strategic policies tailored to local conditions. However, previous accounts China have only focused on national, provincial, or city levels, owing limited methods smaller-scale data. In this study, a...

As fundamental data, gross domestic product (GDP) and electricity consumption can be used to effectively evaluate economic status living standards of residents. Some scholars have estimated gridded GDP consumption. However, such data shortcomings, including overestimating real growth, ignoring the heterogeneity spatiotemporal dynamics grid, limited time-span. Simultaneously, Defense Meteorological Satellite Program's Operational Linescan System (DMSP/OLS) National Polar-orbiting...

This paper employs directional distance function (DDF) and the global Malmquist–Luenberger (GML) productivity index to measure green total factor (GTFP) growth of China’s 36 industrial sectors from 2000 2014. Based on this, this ascertains determinants GTFP perspectives institution, technology, structure, determinant factors that affect are empirically tested by a dynamic panel data (DPD) model. The research shows that, considering energy consumption environmental undesirable outputs, goes...

The Three Gorges Project (TGP) is a mega-water conservancy and hydropower project that have attracted worldwide attention. Under the influence of human activities, landscape pattern has changed greatly. Using metrics to analyze changes critical understanding ecological process. In this study, Landsat TM/ETM+/OLI images are used extract indices for area edge, shape, spatial distribution, diversity. Additionally, 19 taken scale granularity level class level. An analysis appropriate size...

Abstract Accurate, long-term, full-coverage carbon dioxide (CO 2 ) data in units of prefecture-level cities are necessary for evaluations CO emission reductions China, which has become one the world’s largest carbon-emitting countries. This study develops a novel method to match satellite-based Defense Meteorological Satellite Program’s Operational Landscan System (DMSP/OLS) and Suomi National Polar-orbiting Partnership’s Visible Infrared Imaging Radiometer Suite (NPP/VIIRS) nighttime light...

Abstract Understanding the evolution of energy consumption and efficiency in China would contribute to assessing effectiveness government’s policies feasibility meeting its international commitments. However, sub-national data have not been published for China, hindering identification drivers differences efficiency, implementation differentiated between cities counties. This study estimated 336 2,735 counties by combining Defense Meteorological Satellite Program/Operational Line-scan System...

Abstract China’s carbon peak greatly impacts global climate targets. Limited studies have comprehensively analyzed the influence of COVID-19 pandemic, changing emission network, and recent intensity (CI) reduction on corresponding mitigation implications. Using a unique dataset at different levels, we project CO 2 by 2035 analyze time, volume, driver patterns, complex policy implications in post- pandemic era. We develop an ensemble time-series model with machine learning approaches as...

Abstract In this paper, we respectively decompose and study different effects of technological progress on carbon emissions in China based the combination logarithmic mean Divisia index method, Solow residual model, spatial econometrics. Furthermore, propose an improved approach to estimate rebound effect index. By comparing emissions, our results indicate that China's overall domestic reduced its over period. As for index, estimated are higher than previous studies because effect, which was...

Land urbanization has been widely identified as an important driver that influences the structure of land use, thereby causing changes in order land-use systems. Therefore, this study adopted cover data from MCD12Q1 products to estimate intensity (Lui) and information entropy (IELUS) for 109 countries (or regions), representing degree systems, respectively. Subsequently, fixed effects panel, threshold, vector autoregression regression analyses were conducted impacts Lui on IELUS...

Abstract Although the rebound effect caused by technological progress has been widely accepted, few studies have estimated and compared effects of fossil nonfossil energy separately, because consumption different on sustainable development. We use data envelopment analysis–Malmquist index, logarithmic mean Divisia Jacobian matrix methods to estimate compare China's during 2006–2014. Empirical results show that had a higher than was helpful in decreasing proportion consumption. Furthermore,...

Land-use change is an important contributor to atmospheric carbon emissions. Taking Jinhua city in eastern China as example, this study analyzed the effects on emissions by land-use changes from 2005 2018. Then, that will be produced 2030 were predicted based pattern CA-Markov model. Finally, a low-carbon optimized more consistent with law of urban development was proposed prediction and planning model used study. The results show (1) 2018, area land for construction continued increase,...

This study aims to analyze the current state, research hot spots and trends of ecotourism research. We searched document data on from Web Science core collection database retrieved 2,998 articles 2012 2022. CiteSpace, Bibliometrix, VOSviewer software were utilized visualize countries, institutions, authors, hotspots The number ecotourism-related published annually has increased significantly. United States leads other countries in publications, followed by China Australia. analysis keywords...

Current ecological value assessment models predominantly emphasize the potential of resources, neglecting crucial aspect realization processes. Analyzing resources from perspective products (EPs) is more instructive in realizing values. The key factors controlling product are value, risk, development costs, and human demand. Previous research has rarely integrated these four within zoning framework. This study proposes a suitability evaluation framework for based on “value-risk-cost-demand”...

Under China’s ambitious “Dual Carbon” strategy, understanding the relation hip between scale and quality of low-carbon economy at county level is crucial for providing robust empirical evidence to guide policymakers. This study employs panel vector autoregression, fixed-effects regression, multinomial logit regression explore heterogeneous relationship across counties municipal districts, as well investigate underlying mechanisms. The findings reveal that (1) county-level growth has a...

Abstract Global warming is one of the largest challenges humankind facing in this century, and how to achieve low-carbon economy has become most attractive topics global concern. However, evaluations are insufficient due limited methodologies data availability. In study, satellite (i.e., night-time light net primary production) were employed estimate economic output (neo), ratio neo GDP (reo), which can be used assess quantity quality worldwide economies. Based on panel vector autoregression...

Air pollution control is crucial for promoting the modernization of governance systems and efficiency. To address subjective contrived factors errors in gross domestic product (GDP) data traditional statistical almanacs, our study aims to construct a panel model 287 prefecture-level cities period from 1998–2016 (using objective nighttime light data). We also used government work report words related environmental regulation characterize constraints regulations. For this purpose, we...

This paper employed dynamic generalized method of moment methods to measure the growth effect 202 prefecture-level cities covered by 14 national urban agglomerations in China from 2007 2016. Based on this, this further explored main factors affecting agglomeration and path achieving sustainable aspects system, technology, structure, influencing factors, used panel data (DPD) model threshold empirically test agglomerations. The empirical results showed following. (1) From perspective...