Journal ArticleDOI
Industrial structural transformation and carbon dioxide emissions in China
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TLDR
This article analyzed the relationship between industrial structural transformation and carbon dioxide emissions in China and found that the first-order lag of industrial structural adjustment effectively reduced the emissions; technical progress itself did not reduce the emissions, but indirectly led to decreasing emissions through upgrading and optimization of industrial structure.About:
This article is published in Energy Policy.The article was published on 2013-06-01. It has received 326 citations till now. The article focuses on the topics: Cleaner production.read more
Citations
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What determines the diversity of CO2 emission patterns in the Beijing-Tianjin-Hebei region of China? An analysis focusing on industrial structure change
TL;DR: In this article, the authors employed a comprehensive analytical framework to investigate the changing pattern of CO2 emissions in the Beijing-Tianjin-Hebei (BTH) region, where large-scale industrial structural changes are happening.
Journal ArticleDOI
Spatial econometric analysis of carbon emission intensity in Chinese provinces from the perspective of innovation-driven.
TL;DR: China’s provincial carbon emission intensity has obvious spatial agglomeration characteristics, and regional differences are improving, and the spatial spillover effect of some influencing factors is obvious.
Journal ArticleDOI
Identification of key sectors and key provinces at the view of CO2 reduction and economic growth in China: Linkage analyses based on the MRIO model
TL;DR: In this paper, a method based on inter-sector linkage analyses with a multi-regional input-output model, using 27 industries in 30 provinces as research objects, was designed to identify the specific key sectors in these provinces, to identify key sectors and provinces where policies need to be developed for this purpose.
Journal ArticleDOI
Carbon dioxide emissions and interregional economic convergence in China
TL;DR: In this paper, the authors examined the effect of carbon dioxide (CO2) emissions on economic convergence among Chinese provinces from 1998 to 2012 using the framework of environmental total factor productivity (ETFP) and modified the standard β-convergence model to incorporate undesirable outputs such as CO2 emissions.
Journal ArticleDOI
Spatial econometric analysis of foreign direct investment and carbon productivity in China: Two-tier moderating roles of industrialization development
TL;DR: Wang et al. as mentioned in this paper calculated the comprehensive impact of FDI on carbon productivity by using the generalized space three-stage least-squares estimator method (GS3SLS), and further explored the moderating effect of the regional industrialization level by adding interaction items, to discuss the turning point of the local government's investment policy.
References
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Journal ArticleDOI
Measuring the efficiency of decision making units
TL;DR: A nonlinear (nonconvex) programming model provides a new definition of efficiency for use in evaluating activities of not-for-profit entities participating in public programs and methods for objectively determining weights by reference to the observational data for the multiple outputs and multiple inputs that characterize such programs.
Journal ArticleDOI
A Contribution to the Theory of Economic Growth
TL;DR: In this paper, a model of long run growth is proposed and examples of possible growth patterns are given. But the model does not consider the long run of the economy and does not take into account the characteristics of interest and wage rates.
Report SeriesDOI
Initial conditions and moment restrictions in dynamic panel data models
Richard Blundell,Stephen Bond +1 more
TL;DR: In this paper, two alternative linear estimators that are designed to improve the properties of the standard first-differenced GMM estimator are presented. But both estimators require restrictions on the initial conditions process.
Journal ArticleDOI
Another look at the instrumental variable estimation of error-components models
Manuel Arellano,Olympia Bover +1 more
TL;DR: In this paper, a framework for efficient IV estimators of random effects models with information in levels which can accommodate predetermined variables is presented. But the authors do not consider models with predetermined variables that have constant correlation with the effects.
Journal ArticleDOI
Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis
TL;DR: The CCR ratio form introduced by Charnes, Cooper and Rhodes, as part of their Data Envelopment Analysis approach, comprehends both technical and scale inefficiencies via the optimal value of the ratio form, as obtained directly from the data without requiring a priori specification of weights and/or explicit delineation of assumed functional forms of relations between inputs and outputs as mentioned in this paper.
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