Can China achieve its carbon intensity target by 2020 while sustaining economic growth?

2015 ◽  
Vol 119 ◽  
pp. 209-216 ◽  
Author(s):  
Bangzhu Zhu ◽  
Kefan Wang ◽  
Julien Chevallier ◽  
Ping Wang ◽  
Yi-Ming Wei
Keyword(s):  
Economic Growth ◽  
Carbon Intensity ◽  
Carbon Intensity Target

scholarly journals The log mean divisia index based carbon productivity in the Australian construction industry

2017 ◽  
Vol 17 (3) ◽  
pp. 68-84 ◽  
Author(s):  
Lingfeng Liang ◽  
Xiancun Hu ◽  
Linda Tivendale ◽  
Chunlu Liu
Keyword(s):  
Economic Growth ◽  
Environmental Protection ◽  
Construction Industry ◽  
Energy Intensity ◽  
Value Added ◽  
Influential Factors ◽  
Carbon Intensity ◽  
Divisia Index ◽  
Carbon Productivity ◽  
Regional Adjustment

Environmental protection and economic growth are two indicators of sustainable global development. This study aims to investigate the performance of environmental protection and economic growth by measuring carbon productivity in the construction field. Carbon productivity is the amount of gross domestic product generated by the unit of carbon emissions. The log mean Divisia index method is used to investigate influential factors including carbon intensity, energy intensity and regional adjustment that impact on changes of carbon productivity. The study utilises a range of data from the Australian construction industry during 1995-2004 including energy consumption, industry value added and carbon dioxide equivalent consumption. The research indicates carbon productivity in the Australian construction industry has clearly increased. Energy intensity plays a significant positive role in promoting carbon productivity, whereas carbon intensity and regional adjustment have limited influence. Introducing advanced construction machinery and equipment is a feasible pathway to enhance carbon productivity. The research method is generic and can be used to measure other performance indicators and decomposing them into influential factors.

The asymmetry of economic growth and the carbon intensity of well-being

2019 ◽  
Vol 6 (1) ◽  
pp. 95-106
Author(s):  
Patrick Trent Greiner ◽  
Julius Alexander McGee
Keyword(s):  
Economic Growth ◽  
Well Being ◽  
Carbon Intensity ◽  
The Asymmetry

scholarly journals The Impacts of Non-Fossil Energy, Economic Growth, Energy Consumption, and Oil Price on Carbon Intensity: Evidence from a Panel Quantile Regression Analysis of EU 28

2018 ◽  
Vol 10 (11) ◽  
pp. 4067 ◽  
Author(s):  
Cheng Cheng ◽  
Xiaohang Ren ◽  
Zhen Wang ◽  
Yukun Shi
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Quantile Regression ◽  
Oil Price ◽  
Carbon Intensity ◽  
Fossil Energy ◽  
Empirical Results ◽  
Panel Quantile Regression ◽  
Growth Energy ◽  
Quantile Regression Method

This study investigates some determinants of carbon intensity in 28 countries in the European Union (EU), including non-fossil energy, economic growth, energy consumption, and oil price. A panel quantile regression method, which considers both individual heterogeneity and distributional heterogeneity, is applied in this paper. The empirical results imply that the influences of these determinants on carbon intensity are heterogeneous and asymmetric across different quantiles. Specifically, non-fossil energy can significantly decrease carbon intensity, but shows a U-shaped relationship. Economic growth has a negative impact on carbon intensity, especially for medium-emission and high-emission countries. The effects of heating degree days on carbon intensity are positive, although the coefficients are not significant at low quantiles, they become significant from medium quantiles. Besides, we find an inverse U-shaped relationship between crude oil price and carbon intensity. Finally, several relevant policy recommendations are proposed based on the empirical results.

Study on Decomposition and Decision Simulation System for Carbon Intensity Target Reduction

2013 ◽  
Vol 748 ◽  
pp. 1172-1175
Author(s):  
Yun Xiao Zu ◽  
Sheng Yue Huang ◽  
Yue Jia ◽  
Zhe Li
Keyword(s):  
Simulation System ◽  
Carbon Intensity ◽  
Computation Method ◽  
Chinese Government ◽  
Fuel Quality ◽  
The Future ◽  
Main Factors ◽  
Carbon Intensity Target

In terms of the target announced by Chinese government that in 2020 the carbon intensity in China will have a reduction of 40% - 45%, the main factors affected the carbon intensity are analyzed, the computation method of carbon intensity is obtained, and the decomposition and decision simulation system for carbon intensity target reduction is built. The simulation system consists of two parts, one is the forecast of the future carbon intensity according to the current fuels’ usage, and another is the calculation of fuel quality according to the carbon intensity decomposition. With this system the user can know the forecasting data and decomposition results so as to make corresponding guiding policy.

scholarly journals Coupled Climate–Economy–Biosphere (CoCEB) model – Part 1: Abatement share and investment in low-carbon technologies

2015 ◽  
Vol 6 (1) ◽  
pp. 819-863 ◽  
Author(s):  
K. B. Z. Ogutu ◽  
F. D'Andrea ◽  
M. Ghil ◽  
C. Nyandwi ◽  
M. M. Manene ◽  
...  
Keyword(s):  
Climate Change ◽  
Economic Growth ◽  
Carbon Dioxide ◽  
Integrated Assessment ◽  
Carbon Dioxide Emissions ◽  
Capital Accumulation ◽  
Renewable Energy Sources ◽  
Economic Damage ◽  
Carbon Intensity ◽  
Positive Effects

Abstract. The Coupled Climate–Economy–Biosphere (CoCEB) model described herein takes an integrated assessment approach to simulating global change. By using an endogenous economic growth module with physical and human capital accumulation, this paper considers the sustainability of economic growth, as economic activity intensifies greenhouse gas emissions that in turn cause economic damage due to climate change. Different types of fossil fuels and different technologies produce different volumes of carbon dioxide in combustion. The shares of different fuels and their future evolution are not known. We assume that the dynamics of hydrocarbon-based energy share and their replacement with renewable energy sources in the global energy balance can be modeled into the 21st century by use of logistic functions. Various climate change mitigation policy measures are considered. While many integrated assessment models treat abatement costs merely as an unproductive loss of income, we consider abatement activities also as an investment in overall energy efficiency of the economy and decrease of overall carbon intensity of the energy system. The paper shows that these efforts help to reduce the volume of industrial carbon dioxide emissions, lower temperature deviations, and lead to positive effects in economic growth.

On the road to China's 2020 carbon intensity target from the perspective of “double control”

Energy Policy ◽  
2018 ◽  
Vol 119 ◽  
pp. 377-387 ◽  
Author(s):  
Bangzhu Zhu ◽  
Minxing Jiang ◽  
Kefan Wang ◽  
Julien Chevallier ◽  
Ping Wang ◽  
...  
Keyword(s):  
Carbon Intensity ◽  
The Road ◽  
On The Road ◽  
Carbon Intensity Target
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