scholarly journals The Impact of Foreign and Indigenous Innovations on the Energy Intensity of China’s Industries

2019 ◽  
Vol 11 (4) ◽  
pp. 1107 ◽  
Author(s):  
Shuxing Chen ◽  
Xiangyang Du ◽  
Junbing Huang ◽  
Cheng Huang
Keyword(s):  
Energy Intensity ◽  
Driving Forces ◽  
Research Work ◽  
Low Carbon ◽  
Low Carbon Economy ◽  
Industrial Sectors ◽  
Indigenous Innovation ◽  
Industrial Energy ◽  
The Impact ◽  
Indigenous Innovations

China’s industrial sectors have an approximate consumption amounting to 70% of the aggregate power of the entire country. Investigating the driving forces of the decline in the energy intensity is essential for accelerating China’s conversion into a low-carbon economy. Nowadays, there has been no agreement as yet when it comes to the impacts of China’s industrial sectors on energy intensity. The current research work studies the impacts of key driving forces, in particular foreign as well as indigenous innovations, on China’s industrial energy intensity in 34 industrial sectors between 2000 and 2010. Linear and nonlinear analysis methodologies are put to use. The linear empirical findings show that indigenous innovation primarily contributes to driving down the industrial energy intensity across the sampling duration. The foreign innovations, which take the shape of FDI as well as imports, are seen as benefiting the decline in industrial energy intensity; on the other hand, exports ramp up the industrial energy intensity. An additional investigation, on the basis of the panel threshold framework, indicates that the impact of foreign innovations by means of openness as well as industrial energy intensity has an association with the technological absorptive potential. The empirical evidence puts forward some pivotal inferences for policymakers with regard to China’s declining industrial energy intensity—for instance, exploitation of the maximum benefit associated with the technology spillovers; in addition, it is important to take into consideration the attributes and scenarios that impact industrial energy intensity.

China City Industrial Structure Planning and Industry Trends of Low Carbon Economy

2012 ◽  
Vol 573-574 ◽  
pp. 977-983
Author(s):  
Yu Xing Chen ◽  
Hui Luo
Keyword(s):  
Carbon Dioxide ◽  
Energy Consumption ◽  
Carbon Dioxide Emissions ◽  
Energy Intensity ◽  
Productivity Index ◽  
Low Carbon ◽  
Low Carbon Economy ◽  
Industrial Carbon ◽  
Industrial Energy ◽  
Carbon Economy

The article in had the selection based on industrial energy consumption, industrial energy intensity, industrial carbon dioxide emissions, industrial carbon dioxide Emissions intensity and industrial carbon productivity index analysis such as China's industrial economic development three stages of evolution characteristics of low carbon, and according to the 1985 ~ 2007 China work Industry economic data through the regression analysis forecast industry a low carbon economy future development tendency. The analysis results show that, from 1985 to 2007 years although energy consumption Quantity and industrial carbon emissions overall a growing trend, but the industrial strength of energy consumption declined, industrial carbon production ability enhancement, industrial energy intensity reducing to reduce co2 emissions larger contribution, based on this proposed to promote the development of China's industrial low carbon specific Suggestions.

scholarly journals An Analysis of Energy-related Greenhouse Gas Emissions in Turkish Energy-intensive Sectors

2020 ◽  
Author(s):  
Abdulkadir BEKTAŞ
Keyword(s):  
Greenhouse Gas ◽  
Co2 Emissions ◽  
Economic Activity ◽  
Energy Intensity ◽  
Driving Forces ◽  
Ghg Emissions ◽  
Low Carbon ◽  
Activity Effect ◽  
Reduction Of Co2 ◽  
The Impact

In recent decades, greenhouse gas (GHG) emissions have been a critical priority of global environmental policy. The leading cause of the increase in GHG triggering global warming in the atmosphere is the continuously growing demand for universal energy due to population and economic growth. Energy efficiency and reduction of CO2 emissions in highly-energy consuming sectors of Turkey are critical in deciding a low-carbon transition. In this study, the change of energy-related CO2 emissions in Turkey’s energy-intensive four sectors from 1998 to 2017 is analyzed based on the Logarithmic Mean Divisia Index (LMDI) method. It is used to decompose CO2 equivalent emissions changes in these sectors into five driving forces; changes in economic activity, activity mix, energy intensity, energy mix, and emission factors. Analytical results indicate that economic activity is a vital decisive factor in determining the change in CO2 emissions as well as sectoral energy intensity. The activity effect has raised CO2 emissions, while energy intensity has decreased. This method indicates that the impact of the energy intensity could be the first key determinant of GHG emissions. Turkey's efforts to be taken in these sectors in adopting low carbon growth policies and reducing energy-related emissions to tackle climate change are clarified in detail.

A Decomposition Analysis of Developing Low-Carbon Economy in Dalian Industry Sector

2011 ◽  
Vol 361-363 ◽  
pp. 1954-1959
Author(s):  
Xiao Yu Liu ◽  
Hai Lin Mu ◽  
Hua Nan Li ◽  
Miao Li
Keyword(s):  
Economic Activity ◽  
Energy Intensity ◽  
Industrial Structure ◽  
Decomposition Analysis ◽  
Low Carbon ◽  
Energy Mix ◽  
Low Carbon Economy ◽  
Industry Sector ◽  
Industrial Energy ◽  
Carbon Economy

In this paper, we utilize Logarithmic Mean Divisia Index (LMDI) techniques to decompose different components —CO2 emission factor, industrial energy mix, industrial energy intensity, industrial-scale structure, industrial structure, economic activity, family size and family households—which contribute to the changes in CO2 emissions in Dalian industry sector based on industry economy and CO2 emissions data in Dalian from 2000 to 2009. The results show that the economic activity was the main component for CO2 emissions increase, and energy intensity was the most favorable component in developing low-carbon economy in Dalian industry sector, and optimize energy mix could contribute to a significant reduction in CO2 emissions.

scholarly journals Application of Multi-Actor Multi-Criteria Analysis for Transition Management in Energy Communities

2021 ◽  
Vol 13 (4) ◽  
pp. 1783
Author(s):  
Maria Luisa Lode ◽  
Geert te Boveldt ◽  
Cathy Macharis ◽  
Thierry Coosemans
Keyword(s):  
Social Representation ◽  
Added Value ◽  
Final Decision ◽  
Transition Management ◽  
Low Carbon ◽  
Current Application ◽  
Low Carbon Economy ◽  
Multi Criteria Analysis ◽  
Multi Stakeholder ◽  
The Impact

Energy communities (ECs) play a role in the transition towards a low-carbon economy by 2050 and receive increasing attention from stakeholders within the energy sector. To foster ECs, transition management (TM) is a promising managerial approach to steer and guide the transition towards more sustainable practices. However, TM lacks a consistent methodology that addresses the criticism of the current application. To investigate what a structured and replicable TM approach for ECs can look like, this paper applies the multi-actor multi-criteria analysis (MAMCA), a participative multi-criteria decision method, to a case study EC in the Netherlands involving various stakeholders. The impact of the application on power relations, the political sphere, sustainability conceptualization, guidance of transitions, and representation was analyzed. MAMCA was found useful for multi-stakeholder settings seen in potential ECs, offering a unifying methodology for the practical application of TM. In the EC setting, the added value of MAMCA within TM lies more in the social representation, insight into stakeholder viewpoints, and communication rather than in final decision-making.

Analysis of the Driving Forces' Impact on the Low-Carbon Development of Tianjin Based on STIRPAT Model

2013 ◽  
Vol 781-784 ◽  
pp. 2550-2553 ◽  
Author(s):  
Jian Li ◽  
Meng Yan Wang
Keyword(s):  
Energy Intensity ◽  
Driving Forces ◽  
Influential Factors ◽  
Policy Recommendations ◽  
Low Carbon ◽  
Stirpat Model ◽  
Related Data ◽  
Low Carbon Development ◽  
Ridge Regression Analysis ◽  
Urbanization Rate

This paper is based on STIRPAT model, combined with backcasting theory, using ridge regression analysis to analyze the related data of Tianjin from 1996 to 2011.This paper aims to explore the influences of the five driving factors on the carbon emissions in Tianjin, including population, affluent degrees, Energy intensity, Urbanization rate and the ratio of the tertiary industry. This paper is trying to make policy recommendations to change these influential factors, thus, to decrease the urban carbon degree.

Construction of Rural Financial System Based on the Concept of Low Carbon Economy

2014 ◽  
Vol 687-691 ◽  
pp. 4478-4481 ◽  
Author(s):  
Lei Yu
Keyword(s):  
Carbon Emissions ◽  
Agricultural Production ◽  
Influence Factors ◽  
Impact Factors ◽  
Low Carbon ◽  
Low Carbon Economy ◽  
Development Path ◽  
The Impact ◽  
The Empirical Analysis ◽  
Carbon Economy

Based on rural as research object, this paper mainly combines the local rural development present situation to measure rural carbon emissions, and with the help of Kaya model respectively. The rural residents' energy consumption and carbon emissions are generated by the impact factors of agricultural production LMDI decomposition. And it established the cointegration model of influence factors of the carbon in the empirical analysis. It seek a accord with the actual situation of rural low carbon economy development path.

The Effects and Countermeasures of Low-Carbon Economy on China’s International Competitiveness of Industries

2014 ◽  
Vol 989-994 ◽  
pp. 1216-1219
Author(s):  
Jian Bo Hu
Keyword(s):  
World Economy ◽  
International Competitiveness ◽  
Low Carbon ◽  
High Carbon ◽  
Low Carbon Economy ◽  
Strategic Objective ◽  
Core Technology ◽  
Low Carbon Technologies ◽  
The Impact ◽  
Carbon Economy

Contradiction between the environment and economic development have become increasingly prominent, high-carbon development model of the world economy is more difficult to maintain, low-carbon development has becomea strategic objective of all countries. Countries hold low-carbon technologies, the establishment of a green trade barriers, lack of core technology and our industry, lack of international competitiveness of exports facing enormous challenges. For this reason, the paper deeply analyzes the impact of a low-carbon economy on the international competitiveness of the industry and made a reasonable suggestions and strategies from both countries and companies on how to enhance the international competitiveness of industry.

scholarly journals Tracking Australia’s Progress to a Low Carbon Economy

2014 ◽  
Vol 126 (2) ◽  
pp. 29
Author(s):  
John Thwaites
Keyword(s):  
Carbon Activity ◽  
Evaluation Framework ◽  
Low Carbon ◽  
Low Carbon Economy ◽  
Industrial Energy ◽  
Australian Economy ◽  
Measurement And Evaluation ◽  
Industrial Energy Efficiency ◽  
Available Information ◽  
Carbon Economy

Tracking Progress is the first national index of Australia’s progress towards a low carbon economy. With increasing business and community focus on how best to transition to a low carbon future, it is critical to have a robust measurement and evaluation framework for low carbon activity. ClimateWorks Australia has undertaken a detailed analysis of activity occurring across the Australian economy that reduces or avoids greenhouse gas emissions, pulling together the available information and data across key sectors: power, industry, buildings and land-use, and waste. In addition ClimateWorks has produced a special report on factors influencing large industrial energy efficiency.

scholarly journals Latvia’s Energy Efficiency Policy for the Manufacturing Industry in the Green Deal Transition

2020 ◽  
Author(s):  
◽  
Kristaps Ločmelis
Keyword(s):  
Energy Efficiency ◽  
Energy Intensity ◽  
Policy Instruments ◽  
Energy Efficiency Policy ◽  
Climate Targets ◽  
Audit Data ◽  
Industrial Energy ◽  
Future Policy ◽  
Climate Neutrality ◽  
The Impact

By 2030, the European Union (EU) must ensure a 32.5 % reduction in energy consumption compared to the 2007 baseline scenario projection. In Latvia in the period from 2021 to 2030 the cumulative energy efficiency savings of at least 73.7 PJ or 20.5 TWh are expected to be achieved, with the largest share of energy savings coming from the manufacturing sector. On December 11, 2019 the European Commission (EC) set out even more ambitious EU climate targets by publishing the European Green Deal, aiming at EU climate neutrality by 2050, which is not possible without the immediate and significant involvement of industry, while recognizing potential competitiveness risks with global players from countries and regions, where the level of ambition of climate targets lags behind the EU. Significantly, the European Green Deal does not offer to address the risks of industrial competitiveness through subsidies or tax rebates, but emphasizes the importance of energy efficiency policies in energy-intensive industries as one, if not the only, sustainable solution for maintaining global competitiveness. The aim of the study is to analyse Latvia’s energy efficiency and energy policy in relation to manufacturing industries, assessing the impact of existing policies on energy efficiency and reduction of carbon dioxide (CO2) emissions in the transition to climate neutrality defined in the European Green Deal, and provide recommendations for future policy instruments. The analysis includes a comparison of Latvia’s industrial energy intensity with other EU countries, as well as an assessment of the technical potential of energy efficiency in key Latvian manufacturing industries using industrial energy audit data and statistical data processing methods and benchmarking them with results of similar policy studies, assessing the potential for undiscovered energy efficiency and CO2 emission reduction potential in leading industries in Latvia. The dissertation is designed as a set of publications, which combines parts of scientific publications written during doctoral studies. The introduction reflects the aims and objectives of the study, as well as a brief description of its scientific and practical significance. The first chapter examines the existing energy efficiency policy, its goals and literature review of similar policies. The second chapter provides an analysis of Latvia’s industrial sectors, their energy intensity and CO2 emission intensity. The third chapter examines the impact of support policy for energy-intensive industrial enterprises on energy efficiency measures using system dynamics modelling, as well as quantifies these support measures. In the fourth chapter, a comparative analysis of industrial energy audit data in leading industries and an assessment of the undiscovered potential of energy efficiency is performed. In the fifth chapter, the analysis of Latvia’s energy efficiency targets for industry is performed, taking into account the historical and target data of industrial energy intensity and interpreting the necessary trajectory in the context of the European Green Deal. Finally, conclusions and recommendations for future policy instruments are provided.

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