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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.
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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.

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Monitoring urban carbon emissions from energy consumption over China with DMSP/OLS nighttime light observations

TL;DR: Wang et al. as mentioned in this paper constructed a model to accurately estimate the urban CO2 emissions in 2000, 2005, and 2013 in China, using the combined data of DMSP/OLS nighttime light data and the provincial energy statistical yearbook data.
Journal ArticleDOI

Impact of endogenous power factors and price marketization on agricultural energy efficiency: Based on the use of coal and oil energy in China

TL;DR: In this article , the authors examined the effects of endogenous power factors (e.g., farmers' human capital, invention patents, and agricultural digitalization) on agricultural energy efficiency, as well as the moderating role of price marketization therein.
Journal ArticleDOI

Carbon Emissions in the Yellow River Basin: Analysis of Spatiotemporal Evolution Characteristics and Influencing Factors Based on a Logarithmic Mean Divisia Index (LMDI) Decomposition Method

TL;DR: Based on the energy consumption data from 2000-2019, the method recommended by Intergovernmental Panel on Climate Change (IPCC) is used to calculate the carbon emissions in the Yellow River Basin this paper .
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Study on Spatiotemporal Evolution Features and Affecting Factors of Collaborative Governance of Pollution Reduction and Carbon Abatement in Urban Agglomerations of the Yellow River Basin

TL;DR: Wang et al. as mentioned in this paper constructed an evaluation index system for collaborative governance of pollution reduction and carbon abatement in urban agglomerations and employed the correlation coefficient matrix, the composite system synergy model, the Gini coefficient, and the Theil index to evaluate the level of and regional differences in collaborative governance.
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.
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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

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

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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