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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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How to promote energy efficiency through technological progress in China

TL;DR: Wang et al. as mentioned in this paper used the growth-accounting method to investigate the effects of two types of technological progress, namely, the Hicks-neutral and the capital-embodied technological progress on the changes in energy productivity.
Journal ArticleDOI

Urban carbon transformations: unravelling spatial and inter-sectoral linkages for key city industries based on multi-region input–output analysis

TL;DR: In this article, a multi-scale, multi-region input-output model with nested regions at city, state, nation and world level is employed to study the carbon footprints and the inter-sectoral linkages in terms of embodied carbon emissions of the two largest metropolitan areas of Australia, Melbourne and Sydney.
Journal ArticleDOI

The role of industrial structure upgrades in eco-efficiency evolution: Spatial correlation and spillover effects

TL;DR: It is shown that most cites in Bohai Rim have high-high, low-low aggregation characteristics and the economic effects of per capita GDP, industrial structure upgrades on eco-efficiency are determined according to a spatial Durbin model.
Journal ArticleDOI

Investigating the spill overs and connectedness between financial globalization, high-tech industries and environmental footprints: Fresh evidence in context of China

TL;DR: In this article , the authors analyzed the directional spillover impacts and connectedness for financial and trade globalization, high-tech industries, and environmental footprints of China, and found positive spillover effects from financial globalization (FGI), and economic complexity towards ecological footprints.
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Spatio-temporal dynamics of urban residential CO2 emissions and their driving forces in China using the integrated two nighttime light datasets

TL;DR: In this article, the authors integrated two nighttime light datasets: the Defense Meteorological Satellite Program's Operational Linescan System (DMSP-OLS) nighttime light images and the Suomi National Polar-orbiting Partnership (NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) composite data to improve on estimates of urban residential CO2 emissions from 2000 to 2015 at 1 km resolution.
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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