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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The Impact of FDI on Urban PM2.5 Pollution in China: The Mediating Effect of Industrial Structure Transformation.
TL;DR: Wang et al. as discussed by the authors used the dynamic spatial fixed-effects Durbin model to analyze the correlation between FDI and PM2.5 in Chinese cities and proposed that local governments should promote the marketoriented reform of FDI to create a more convenient, legalized, and international environment for FDI.
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An Analysis Based on SD Model for Energy-Related CO2 Mitigation in the Chinese Household Sector
TL;DR: Li et al. as discussed by the authors developed an integrated model based on logarithmic mean divisia index methodology and a system dynamics model to dynamically simulate household energy consumption and CO2 emissions under different conditions.
Journal ArticleDOI
Analysis of the Driving Factors and Contributions to Carbon Emissions of Energy Consumption from the Perspective of the Peak Volume and Time Based on LEAP
TL;DR: In this article, the authors analyzed the driving factors and contributions of carbon emissions peak volume and time for reducing the cumulative carbon emissions in developing countries with rapid economic development and increasing carbon emissions.
Journal ArticleDOI
Direct and indirect impacts of high-tech industry development on CO2 emissions: empirical evidence from China.
TL;DR: Empirical results illustrate a positive U-shaped nonlinear link between the level of high-tech industry development and CO2 emissions at the national level and regional (high, middle, and low) level and direct and indirect impacts are explored.
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Can Land Marketization Help Reduce Industrial Pollution
TL;DR: Some suggestions on how to control industrial pollution from the perspective of further improving the industrial land conveyance mechanism are put forward.
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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