PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
2017 | 26 | 2 |

Tytuł artykułu

CO2 emissions from the power industry in the China’s Beijing-Tianjin-Hebei region: decomposition and policy analysis

Autorzy

Warianty tytułu

Języki publikacji

EN

Abstrakty

EN
Based on the energy consumption data of power industry in the Beijing-Tianjin-Hebei region from 1995 to 2014, our paper first estimated CO₂ emissions using the IPCC carbon accounting methods. Then, starting from the perspective of the power industry chain – including power generation, transmission, and final consumption – we established the hierarchical LMDI decomposition model; decomposed driving factors of CO₂ emissions into effects of fuel mix; the coal consumption rate; power generation structure; the ratio of power generation to consumption, transmission, and distribution losses; production sectors’ electricity intensity; industrial structure; household electricity intensity; economic scale; and population size. Results show that: 1. During 1995-2014, CO₂ emissions of power industry in the Beijing-Tianjin-Hebei region developed in fluctuation and showed a rising trend in general, with annual average growth rate of 5.93%. 2. The factors that drive the growth of CO₂ emissions from the power industry in the Beijing-Tianjin-Hebei region are, in order, economic scale, population size, transmission and distribution losses, and industrial structure, with a contribution rate of 150.70%, 20.80%, 8.86%, and 8.83%. The factors that drive CO₂ emissions reduction are production sectors’ electricity intensity, the coal consumption rate, the ratio of electricity generation and consumption, household electricity intensity, power generation structure, and fuel mix, with a contribution rate of -45.97%, -22.38%, -19.41%, -0.62%, -0.49%, and -0.32%, respectively

Słowa kluczowe

Wydawca

-

Rocznik

Tom

26

Numer

2

Opis fizyczny

P.903-916,fig.,ref.

Twórcy

autor
  • Department of Economics and Management, North China Electric Power University, 689 Huadian Road, Baoding City, 071003 China
autor
  • Department of Economics and Management, North China Electric Power University, 689 Huadian Road, Baoding City, 071003 China
autor
  • Department of Power Engineering, North China Electric Power University, 689 Huadian Road, Baoding City, 071003 China

Bibliografia

  • 1. MARCUCCI A., FRAGKOS P. Drivers of regional decarbonization through 2100: A multi-model decomposition analysis, Energy Economics, 51, 111-124, 2015.
  • 2. IEA, 2015a. CO₂ Emissions from Fuel Combustion, International Energy Agency,Paris.
  • 3. CETIN M. Determining the bioclimatic comfort in Kastamonu City, Environmental Monitoring and Assessment, 187 (10), 640, 2015.
  • 4. CETIN M., SEVIK H. Measuring the impact of selected plants on indoor CO₂ concentrations, Polish Journal of Environmental Studies, 25 (3), 973, 2016.
  • 5. SEVIK H., CETIN M., BELKAYALI N. Effects of forests on amounts of CO₂: Case study of Kastamonu and Ilgaz Mountain National Parks, 24 (1), 253, 2015.
  • 6. CETIN M. A change in the amount of CO₂ at the center of the examination halls: Case study of Turkey, Studies on Ethno-Medicine, 10 (2), 146-155, 2016.
  • 7. Cortés-Borda D., Ruiz-Hernández A., Guillén-Gosálbez G., Llop M., Guimera R., Sales-Pardo M. Identifying strategies for mitigating the global warming impact of the EU-25 economy using a multi-objective inputoutput approach, Energy Policy, 77, 21, 2015.
  • 8. WEN L., CAO Y.,WENG J.F. Factor decomposition analysis of China's energy-related CO₂ emissions using extended STIRPAT model, Polish Journal of Environmental Studies, 24 (5), 2261, 2015.
  • 9. JUNG S., AN K.J., DODBIBA G., FUJITA T. Regional energy-related carbon emission characteristics and potential mitigation in eco-industrial parks in South Korea: Logarithmic mean Divisia index analysis based on the Kaya identity, Energy, 46 (1), 231, 2012.
  • 10. WEN L., LIU Y. The peak value of carbon emissions in the Beijing-Tianjin-Hebei Region based on the STIRPAT model and scenario design, Polish Journal of Environmental Studies, 25 (2), 823, 2016.
  • 11. JOVANOVIC M.M. Belgrade's urban transport CO₂ emissions from an International Perspective, Polish Journal of Environmental Studies, 25 (2), 635, 2016.
  • 12. GE X.H., CHANG L.P., YUAN J., MA J.C., SU X.D., JI H.J. Greenhouse gas emissions by the Chinese coking industry, Polish Journal of Environmental Studies, 25 (2), 593, 2016.
  • 13. LIN B.Q., ZHANG Z.H. Carbon emissions in China’s cement industry: A sector and policy analysis, Renewable and Sustainable Energy Reviews, 58, 1387, 2016.
  • 14. HAO Q.T., HUANG M.X. Study on carbon emission calculation methods overview and its comparison, Chinese Journal of Environmental Management, 4, 51, 2011.
  • 15. IPCC (Intergovernmental Panel on Climate Change), 2006. In: EGGLESTON H.S., BUENDIA L., MIWA K., NGARA T., TANABE K. (Eds.), 2006 IPCC Guidelines for National Greenhouse Gas Inventories, Prepared by the National Greenhouse Gas Inventories Programme. IGES, Japan.
  • 16. ARI I., KOKSAL M. Carbon dioxide emission from the Turkish electricity sector and its mitigation options, Energy Policy, 39 (10), 6120, 2011.
  • 17. ANG B.W., ZHANG F.Q. A survey of index decomposition analysis in energy and environmental studies, Energy, 25 (12), 1149, 2000.
  • 18. HAQA I.U., ZHU S.J., SHAFIQ M. Empirical investigation of environmental Kuznets curve for carbon emission in Morocco, Ecological Indicators, 67, 491, 2016.
  • 19. ZHAO X.L., MA Q., YANG R. Factors influencing CO₂ emissions in China’s power industry: Co-integration analysis, Energy Policy, 57, 89, 2013.
  • 20. SHAO S., LIU J.H., GENG Y., MIAO Z., YANG Y.C. Uncovering driving factors of carbon emissions from China’s mining sector, Applied Energy, 166, 220, 2016.
  • 21. KAMELLOS M., KOPIDOU D., DIAKOULAKI D. A decomposition analysis of the driving factors of CO₂ emissions (Carbon dioxide) from the power industry in the European Union countries, Energy, 94, 680, 2016 .
  • 22. HOEKSTRA R., van den BerghJeroen C.J.M. Comparing structural decomposition analysis and index, Energy economics, 25 (1), 39, 2003.
  • 23. SU B., ANG B.W. Structural decomposition analysis applied to energy and emissions: some methodological developments, Energy Economics, 34 (1), 177, 2012.
  • 24. CANSINO J.M., ROMAN R., ORDONEZ M. Main drivers of changes in CO₂ emissions in the Spanish economy: A structural decomposition analysis, Energy Policy, 89, 150, 2016.
  • 25. ANG B.W., XU X.Y., SU B. Multi-country comparisons of energy performance: The index decomposition analysis approach, Energy Economics, 47, 68, 2015.
  • 26. GONZALEZ P. F. Exploring energy efficiency in several European countries. An attribution analysis of the Divisia structural change index, Applied Energy, 137, 364, 2015.
  • 27. SU B., ANG B.W. Multiplicative decomposition of aggregate carbon intensity change using input-output analysis, Applied Energy, 154, 13, 2015.
  • 28. RUTGER H., JEROEN C.J.M. Structural decomposition analysis of physical flows in the economy, Environmental and resource economics, 23 (3), 357, 2002.
  • 29. ANG B.W., LIU F.L., CHUNG H.S. Index numbers and the fisher ideal index approach in energy decomposition analysis, National University of Singapore: Department of Industrial and Systems Engineering, 2002.
  • 30. ANG B.W. Decomposition analysis for policy making in energy: which is the preferred method, Energy Policy, 32 (9), 1131, 2004.
  • 31. ANG B.W. LMDI decomposition approach: A guide for implementation, Energy Policy, 86, 233, 2015.
  • 32. FANG Y.P., YAN X. CO₂ emissions and mitigation potential of the Chinese manufacturing industry, Journal of Cleaner Production, 103, 759, 2015.
  • 33. LIN B.Q., OUYANG X.L. Analysis of energy-related CO₂ (carbon dioxide) emissions and reduction potential in the Chinese non-metallic mineral products industry, Energy, 68, 688, 2014.
  • 34. OUYANG X.L., LIN B.Q. An analysis of the driving forces of energy-related carbon dioxide emissions in China’s industrial sector, Renewable and Sustainable Energy Reviews, 45, 838, 2015.
  • 35. ANG B.W., ZHANG F.Q., CHOI K.H. Factorizing changes in energy and environmental indicators through decomposition, Energy, 23 (6), 489, 1998.
  • 36. MALLA S. CO₂ emissions from electricity generation in seven Asia-Pacific and North American countries: a decomposition analysis, Energy Policy, 37, 1, 2009.
  • 37. KAMELLS M., KOPIDOU D., DIAKOULAKI D. A decomposition analysis of the driving factors of CO₂ (Carbon dioxide) emissions from the power sector in the European Union countries, Energy, 94 , 680, 2016.
  • 38. HUO M.L., HAN X.Y., SHAN B.G. Empirical study on key factors of carbon emission intensity of power industry, Electric Power, 46 (12), 122, 2013.
  • 39. ZHANG M., LIU X., WANG W.W., ZHOU M. Decomposition analysis of CO₂ emissions from electricity generation in China, Energy Policy, 52, 159, 2013.
  • 40. YANG L.S., LIN B.Q. Carbon dioxide-emission in China's power industry: Evidence and policy implications, Renewable and Sustainable Energy Reviews, 60, 258, 2016.

Typ dokumentu

Bibliografia

Identyfikatory

Identyfikator YADDA

bwmeta1.element.agro-78e2dc0a-c521-42d5-8905-f6af04fbbb26
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.