Technological Learning, Energy Efficiency, and CO2Emissions in China's Energy Intensive Industries

2013 ◽  
Author(s):  
Michael T. Rock ◽  
Michael Toman ◽  
Yuanshang Cui ◽  
Kejun Jiang ◽  
Yun Song ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Technological Learning ◽  
Energy Intensive Industries

scholarly journals Energy Efficiency and Carbon Emission Impact on Competitiveness in the European Energy Intensive Industries

Energies ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4700
Author(s):  
Andrius Zuoza ◽  
Vaida Pilinkienė
Keyword(s):  
Energy Efficiency ◽  
Carbon Emission ◽  
Energy Intensity ◽  
Export Performance ◽  
Positive Energy ◽  
Energy Prices ◽  
Competitiveness Index ◽  
Industry Competitiveness ◽  
Index Value ◽  
Energy Intensive Industries

Climate change and efforts to mitigate it have given rise to an interest in the relationship between industry competitiveness, energy efficiency, and carbon emissions. A better understanding of this relationship can be essential for economic and environmental decision-makers. This paper presents empirical research evaluating industry competitiveness through the factors of energy efficiency and carbon emission in Europe’s most energy-intensive industries. The designed industry competitiveness measure index consists of seven components, grouped into three equally weighted sub-indexes: export performance, energy, and environmental. The export performance of the industry is described by the industry export growth rate, the share of the industry’s export, and the effects on the industry’s competitiveness of changes in a country’s export. The energy intensity of the industry and energy prices are integrated into the energy sub-index. The environmental sub-index consists of the industry’s emissions intensity, and the ratio of freely allocated allowances and verified emissions indicators. The findings indicate that countries with the highest index value also have a positive energy intensity and carbon emission indicator value. The average index value of each industry gradually reduces to zero, and the standard deviation of the index value shows a diminishing trend throughout all sectors, which implies that competitiveness in all sectors is increasing and that all countries are nearing the industry average. The ANOVA results show that: (1) the competitiveness index value was statistically significantly different in the investigated countries; (2) the competitiveness index value was statistically non-significantly different in the investigated industries; (3) there was a significant effect of the interaction between country and industry on the competitiveness index value. These results suggest that the country itself and industry/country interaction significantly affect the competitiveness index. However, it should be mentioned that industry per se does not substantially affect the competitiveness index score.

Energy efficiency benchmarking of energy-intensive industries in Taiwan

2014 ◽  
Vol 77 ◽  
pp. 216-220 ◽  
Author(s):  
David Yih-Liang Chan ◽  
Chi-Feng Huang ◽  
Wei-Chun Lin ◽  
Gui-Bing Hong
Keyword(s):  
Energy Efficiency ◽  
Energy Intensive Industries

scholarly journals Empirical Investigation of Barriers and Driving Forces for Efficient Energy Management Practices in Non-Energy-Intensive Manufacturing Industries of Bangladesh

2019 ◽  
Vol 11 (9) ◽  
pp. 2671 ◽  
Author(s):  
A. S. M. Monjurul Hasan ◽  
Rakib Hossain ◽  
Rashedul Amin Tuhin ◽  
Taiyeb Hasan Sakib ◽  
Patrik Thollander
Keyword(s):  
Energy Efficiency ◽  
Developing Countries ◽  
Energy Management ◽  
Management Practices ◽  
Driving Forces ◽  
Capital Expenditure ◽  
Developed Countries ◽  
Manufacturing Industries ◽  
Improve Energy Efficiency ◽  
Energy Intensive Industries

Improved energy efficiency is being considered as one of the significant challenges to mitigating climate change all over the world. While developed countries have already adopted energy management and auditing practices to improve energy efficiency, the developing countries lag far behind. There are a limited number of studies which have been conducted in the context of developing countries, which mostly revolve around highly energy-intensive sectors. This study looks into the existence and importance of the challenges to and motivating forces for the adoption of energy management practices in Bangladesh, a developing country, focusing on the non-energy-intensive manufacturing industries. Conducted as a multiple case study, the results indicate the existence of several barriers towards adopting and implementing the management of energy practices in the non-energy-intensive industries of Bangladesh, where among them, “other preferences for capital venture” and “inadequate capital expenditure” are the most dominant. This study also identified a number of driving forces that can accelerate the acceptance of energy efficiency practices, such as the demands from the owner, loans, subsidies, and a lowered cost–benefit ratio. Findings of this study could assist the concerned stakeholders to develop beneficial policies and a proper regulatory framework for the non-energy-intensive industries of developing countries like Bangladesh.

scholarly journals How Does Environmental Regulations Effect Pattern of Carbon Emission and Energy Efficiency: A Provincial Level Analysis of Chinese Energy-Intensive Industries?

2021 ◽  
Author(s):  
Thanh Quang Ngo
Keyword(s):  
Energy Efficiency ◽  
Panel Data ◽  
Environmental Regulation ◽  
Carbon Dioxide Emissions ◽  
Environmental Regulations ◽  
Dynamic Panel Data ◽  
Green Energy ◽  
Economic Implications ◽  
The Impact ◽  
Energy Intensive Industries

Abstract Energy has a huge environmental and economic implications in the modern community. Despite the rapid economic growth of China in the past two decades, it can further improve through sustainable green energy with more energy-efficient industries, so as to maintain a good balance between economic and social development. The performances of energy and carbon dioxide emissions are the critical indicators. On this basis, this work measures the impact of environmental regulations on energy efficiency based on 2008-17 panel data from 30 provinces in China. The total factor energy efficiency index (TFEEI) is calculated by the non-radial distance function (NDDF). In order to study the nonlinear relationship between environmental regulations and TFEEI, the dynamic threshold panel model is used under different environmental regulations, which can solve effectively endogenous problems and regional heterogeneity. The results show that, for energy-intensive industries, the overall average TFEEI level is still very low, with average values of 0.55 and 0.58, which are well below the ideal value (i.e., 1). Further, the dynamic panel data model findings showed a U-shaped significant relationship between China's TFEEI and environmental regulation. The findings reveal that environmental regulation effect on TFEI rises steadily as the values of Market-Based Environmental Regulations (MERs) and Command and control Environmental Regulations (CCERs) and surpass the corresponding thresholds. This research can help policymakers understand the effectiveness of various levels of environmental legislation to make more informed decisions.

scholarly journals The Influence of Energy Price Distortion on Region Energy Efficiency in China’s Energy-Intensive Industries from the Perspectives of Urban Heterogeneity

2021 ◽  
Vol 14 (1) ◽  
pp. 88
Author(s):  
Xiaolei Wang ◽  
Hui Wang ◽  
Shuang Liang ◽  
Shichun Xu
Keyword(s):  
Energy Efficiency ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Energy Price ◽  
Analysis Model ◽  
Frontier Analysis ◽  
Price Distortion ◽  
Industrial Sectors ◽  
The Impact ◽  
Energy Intensive Industries

As typical representatives of China’s industrial sectors, energy intensive industries are the focus of energy conservation. This study constructs a trans-log production function and stochastic frontier analysis model to analyze the impact of energy price distortion on total factor energy efficiency in energy intensive industries on the city level. The results reveal that the phenomenon of energy price distortion existed in all cities from 2003 to 2019, with an average degree of −0.175; and the total factor energy efficiency in China’s energy intensive sectors showed an upward trend, with an average efficiency of 0.729. Further deep analysis of affecting mechanisms concluded that the price distortion showed a significant restraining effect on improving energy efficiency, while the improvement of urban agglomeration systems had an opposite effect. In addition, energy consumption structure, foreign trade, and infrastructure construction are positively correlated with energy efficiency. Therefore, promoting the market-oriented reform of China’s energy market is of great significance to improve city energy efficiency and build a resource-conserving society.

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