Delinking indicators on transport output and carbon emissions in Xinjiang, China

• Autorzy: Dong J.-F. , Huang J.-Y. , Wu R.-W. , Deng C.
• Języki publikacji: EN

Abstrakty

EN

This paper identifies the driving forces of CO₂ emissions from 1990 to 2014 in Xinjiang’s transport sector based on the logarithmic mean divisia index (LMDI) method. Then we introduce the decoupling index to further quantitatively analyze the delinking indicators on the transport sector’s growth and environmental pressures. The results indicate that: 1) CO₂ emissions increased significantly with an average annual growth rate of 8.7%. On the contrary, energy intensity has declined constantly over the study period. 2) Economic growth, population size, industrial structure, internal structural and energy mix have proven to contribute to CO₂ emissions increases. Moreover, economic growth plays a critical role in the increment with a contribution of 13.23 million tons, followed by population size and internal structure. 3) Xinjiang’s transport witnessed a fluctuating decoupling progress with weak decoupling as the theme. In particular, the decoupling state moved from weak decoupling in 1991-2000 with short-term volatility to weak decoupling in 2001-2010. However, the coupling relationship was strengthened during 2011-2014. 4) Energy intensity is the most important factor for explaining the dissociation in Xinjiang’s transport sector. However, internal structural, industrial structure, and population size has turned out to be the obstacles in decoupling progress.

• Wydawca: -
• Czasopismo: Polish Journal of Environmental Studies
• Rocznik: 2017
• Tom: 26
• Numer: 3
• Opis fizyczny: p.1045-1056,fig.,ref.

Twórcy

autor

Dong J.-F.

• Department of Economics and Management, Yuncheng University, Yuncheng 044000, China
• State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China
• College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China

autor

Huang J.-Y.

• Department of Economics and Management, Yuncheng University, Yuncheng 044000, China

autor

Wu R.-W.

• State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China
• College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China

autor

Deng C.

• Department of Economics and Management, Yuncheng University, Yuncheng 044000, China

Bibliografia

• 1. WANG Q., CHEN X. Energy policies for managing China’s carbon emission. Renewable and Sustainable Energy Reviews, 50, 470, 2015.
• 2. World energy outlook 2014. International Energy Agency, 2014, Available online: http://URL (accessed on 15 September 2016).
• 3. WANG S., FANG C., WANG Y. Spatiotemporal variations of energy-related CO₂ emissions in China and its influencing factors: An empirical analysis based on provincial panel data. Renewable and Sustainable Energy Reviews, 55, 505, 2016.
• 4. XIAO B., NIU D., GUO X. The Driving Forces of Changes in CO₂ Emissions in China: A Structural Decomposition Analysis. Energies, 9 (4), 259, 2016.
• 5. TAN X., DONG L., CHEN D., GU B., ZENG Y. China’s regional CO₂ emissions reduction potential: A study of Chongqing city. Applied Energy, 162, 1345, 2016.
• 6. Deng X., Yu Y., Liu Y. Temporal and Spatial Variations in Provincial CO₂ Emissions in China from 2005 to 2015 and Assessment of a Reduction Plan. Energies, 8 (5), 4549, 2015.
• 7. Dong J.F., Deng C., Wang X.M., Zhang X.L. Multilevel Index Decomposition of Energy-Related Carbon Emissions and Their Decoupling from Economic Growth in Northwest China. Energies, 9 (9), 680, 2016.
• 8. TSAO R. One Belt One Road. Chinese American Forum. 31 (1), 11, 2015.
• 9. ZHANG Y.L. One Belt, One Road: A Chinese View. Global Asia, 10 (3), 8, 2015.
• 10. HUO J., YANG D., ZHANG W., WANG F., WANG G., FU Q. Analysis of influencing factors of CO₂ emissions in Xinjiang under the context of different policies. Environmental Science & Policy, 45, 20, 2015.
• 11. GUO B., GENG Y., DONG H., LIU Y. Energy-related greenhouse gas emission features in China’s energy supply region: the case of Xinjiang. Renewable and Sustainable Energy Reviews, 54, 15, 2016.
• 12. WANG C., WANG, F. Structural Decomposition Analysis of Carbon Emissions and Policy Recommendations for Energy Sustainability in Xinjiang. Sustainability, 7 (6), 7548, 2015.
• 13. WANG C., ZHANG X., WANG F., LEI J., ZHANG L. Decomposition of energy-related carbon emissions in Xinjiang and relative mitigation policy recommendations. Frontiers of Earth Science, 9 (1), 65-76, 2014.
• 14. GUO B., GENG Y., FRANKE B., HAO H., LIU Y.X., CHIU A. Uncovering China’s transport CO₂ emission patterns at the regional level. Energy Policy, 74 (74), 134, 2014.
• 15. XU B., LIN B. Factors affecting carbon dioxide emissions in China's transport sector: a dynamic nonparametric additive regression model. Journal of Cleaner Production, 101, 311, 2015.
• 16. LIN B.Q., XIE C. Reduction potential of CO₂ emissions in China’s transport industry. Renewable and Sustainable Energy Reviews, 33, 689, 2014.
• 17. YIN X., CHEN W., EOM J., CLARKE L.E., KIM S.H., PATEL P.L., YU S., KYLE G.P. China’s transportation energy consumption and CO₂ emissions from a global perspective. Energy Policy, 82 (1), 233, 2015.
• 18. YANG W., LI T., CAO X. Examining the impacts of socio-economic factors, urban form and transportation development on CO₂ emissions from transportation in China: A panel data analysis of China’s provinces. Habitat International, 49, 212, 2015.
• 19. CAI B., YANG W., CAO D., LIU L., ZHOU Y., ZHANG, Z. Estimates of China’s national and regional transport sector CO₂ emissions in 2007. Energy Policy, 41, 474, 2012.
• 20. AL-MULALI U., FEREIDOUNI H.G. MOHAMMED A.H. The effect of tourism arrival on CO₂ emissions from transportation sector. Anatolia, 26 (2), 1, 2015.
• 21. DAI Y., GAO H.O. Energy consumption in China’s logistics industry: A decomposition analysis using the LMDI approach. Transportation Research Part D: Transport and Environment, 46, 69, 2016.
• 22. RATANAVARAHA V., JOMNONKWAO S. Trends in Thailand CO₂ emissions in the transportation sector and Policy Mitigation. Transport Policy, 41, 136, 2015.
• 23. SHAHBAZ M., KHRAIEF N., JEMAA M.M.B. On the causal nexus of road transport CO₂ emissions and macroeconomic variables in Tunisia: Evidence from combined cointegration tests. Renewable and Sustainable Energy Reviews. 51 (16), 89, 2015.
• 24. NOCERA S., CAVALLARO F. A methodological framework for the economic evaluation of CO₂ emissions from transport. Journal of Advanced Transportation, 48(2), 138, 2014.
• 25. AZLINAA A.A., LAW S. H., MUSTAPHA N.H.N. Dynamic linkages among transport energy consumption, income and CO₂ emission in Malaysia. Energy Policy, 73, 598, 2014.
• 26. STELLING P. Policy instruments for reducing CO₂ emissions from the Swedish freight transport sector. Research in Transportation Business and Management, 12, 47, 2014.
• 27. CHANDRAN V.G.R., TANG C.F. The impacts of transport energy consumption, foreign direct investment and income on CO₂ emissions in ASEAN-5 economies. Renewable and Sustainable Energy Reviews, 24 (10), 445, 2013.
• 28. LIIMATAINEN H., PÖLLÄNEN M. The impact of sectoral economic development on the energy efficiency and CO₂ emissions of road freight transport. Transport Policy, 27 (2), 150, 2013.
• 29. WEI Q., ZHAO S., XIAO W. A Quantitative Analysis of Carbon Emissions Reduction Ability of Transportation Structure Optimization in China. Journal of Transportation Systems Engineering and Information Technology, 13 (3), 10, 2013.
• 30. WANG W.W., ZHANG M., ZHOU M. Using LMDI method to analyze transport sector CO₂ emissions in China. Energy, 36 (10), 5909, 2011.
• 31. MAO X., YANG S., LIU Q., TU J., JACCARD M. Achieving CO₂ emission reduction and the co-benefits of local air pollution abatement in the transportation sector of China. Environmental Science and Policy, 21 (4), 1, 2012.
• 32. XU B., LIN B. Differences in regional emissions in China’s transport sector: Determinants and reduction strategies. Energy, 95, 459, 2016.
• 33. ZHAO Y., KUANG Y., HUANG N. Decomposition Analysis in Decoupling Transport Output from Carbon Emissions in Guangdong Province, China. Energies, 9 (4), 295, 2016.
• 34. LIU Z., LI L., ZHANG Y.J. Investigating the CO₂ emission differences among China’s transport sectors and their influencing factors. Natural Hazards, 77 (2), 1323, 2015.
• 35. VOIGT S., DE CIAN E., SCHYMURA M., VERDOLINI E. Energy intensity developments in 40 major economies: Structural change or technology improvement? Energy Economics, 41, 47, 2014.
• 36. WANG Q., LI R. Drivers for energy consumption: A comparative analysis of China and India. Renewable and Sustainable Energy Reviews, 62, 954, 2016.
• 37. SCHOLL L., SCHIPPER L., KIANG N. CO₂ emissions from passenger transport A comparison of international trends from 1973 to 1992. Energy Policy, 24 (1), 17, 1996.
• 38. TIMILSINA G.R., SHRESTHA A. Transport sector CO₂ emissions growth in Asia: Underlying factors and policy options. Energy Policy, 37 (11), 4523, 2009.
• 39. WANG Q., CHEN X., JHA A.N., ROGERS H. Natural gas from shale formation-The evolution, evidences and challenges of shale gas revolution in United States. Renewable and Sustainable Energy Reviews, 30 (0), 1, 2014.
• 40. TIMILSINA G.R., SHRESTHA A. Factors affecting transport sector CO₂ emissions growth in Latin American and Caribbean countries: An LMDI decomposition analysis. International Journal of Energy Research, 33 (4), 396, 2009.
• 41. SHAHBAZ M., LOGANATHAN N., MUZAFFAR A.T., AHMED K., ALI JABRAN M. How urbanization affects CO₂ emissions in Malaysia? The application of STIRPAT model. Renewable and Sustainable Energy Reviews, 57 (5), 83, 2016.
• 42. MCKINNON A.C., PIECYK M.I. Measurement of CO₂ emissions from road freight transport: A review of UK experience. Energy Policy, 37 (10), 3733, 2009.
• 43. ANG B.W. The LMDI approach to decomposition analysis: a practical guide. Energy Policy, 33 (7), 867, 2005.
• 44. XU X.Y., ANG B.W. Index decomposition analysis applied to CO₂ emission studies. Ecological Economics, 93 (5), 313, 2013.
• 45. ANG B.W., XU X.Y. Tracking industrial energy efficiency trends using index decomposition analysis. Energy Economics, 40 (2), 1014, 2013.
• 46. PAPAGIANNAKI K., DIAKOULAKI D. Decomposition analysis of CO₂ emissions from passenger cars: the cases of Greece and Denmark. Energy Policy, 37 (8), 3259, 2009.
• 47. ANDREONI V., GALMARINI S. Decoupling economic growth from carbon dioxide emissions: A decomposition analysis of Italian energy consumption. Energy, 44 (1), 682, 2012.
• 48. FREITAS L.C.D., KANEKO S. Decomposing the decoupling of CO₂ emissions and economic growth in Brazil. Ecological Economics, 70 (8), 1459, 2011.
• 49. GREENING L.A., TING M., DAVIS W.B. Decomposition of aggregate carbon intensity for freight: trends from 10 OECD countries for the period 1971-1993. Energy Economics, 21 (4), 331, 1999.
• 50. WANG W., LIU R., ZHANG M., LI H. Decomposing the decoupling of energy-related CO₂ emissions and economic growth in Jiangsu Province. Energy for Sustainable Development, 17 (1), 62, 2013.
• 51. LAHA S., LUTHY R.G. Decoupling Analysis and Socioeconomic Drivers of Environmental Pressure in China. Environmental science & technology, 48 (2), 1103, 2014.
• 52. LU Q., YANG H., HUANG X., CHUAI X., WU, C. Multisectoral decomposition in decoupling industrial growth from carbon emissions in the developed Jiangsu Province, China. Energy, 82, 414, 2015.
• 53. TAPIO P. Towards a theory of decoupling: degrees of decoupling in the EU and the case of road traffic in Finland between 1970 and 2001. Transport Policy, 12 (2), 137, 2005.
• 54. PAUSTIAN K., RAVINDRANATH N.H., AMSTEL A.R. 2006 IPCC Guidelines for National Greenhouse Gas Inventories. 2 (4), 48, 2006.
• 55. SONG R.P., YANG S., SUN M. GHG Protocol Tool for Energy Consumption in China (Version 2.1), 2013; World Resources Institute: Beijing, China, 2013.
• 56. GU B., TAN X., ZENG Y., MU Z. CO₂ Emission Reduction Potential in China’s Electricity Sector: Scenario Analysis Based on LMDI Decomposition. Energy Procedia, 75, 2436, 2015.
• 57. LI H.Z., TIAN X.L., ZOU T. Impact analysis of coalelectricity pricing linkage scheme in China based on stochastic frontier cost function. Applied Energy, 151, 296, 2015.
• 58. WANG Q., CHEN X. China’s electricity market-oriented reform: From an absolute to a relative monopoly. Energy Policy, 51, 143, 2012.
• 59. WANG Q., CHEN Y. Status and outlook of China’s freecarbon electricity. Renewable and Sustainable Energy Reviews, 14 (3), 1014, 2010.
• 60. KAYA Y., YOKOBORI K. Environment, Energy, and Economy: Strategies for Sustainability. United Nations University Press. 1997.
• 61. XU X.Y., ANG B.W. Multilevel index decomposition analysis: Approaches and application. Energy Economics, 44, 375, 2014.
• 62. ANG B.W., XU X.Y., SU, B. Multi-country comparisons of energy performance: The index decomposition analysis approach. Energy Economics, 47, 68, 2015.
• 63. ANG B.W., CHOI K.H. Decomposition of Aggregate Energy and Gas Emission Intensities for Industry: A Refined Divisia Index Method. Energy Journal, 18 (3), 59, 1997.
• 64. VEHMAS J., LUUKKANEN J., KAIVO-OJA J. Linking analyses and environmental Kuznets curves for aggregated material flows in the EU. Journal of Cleaner Production, 15 (17), 1662, 2007.
• 65. DIAKOULAKI D., MANDARAKA M. Decomposition analysis for assessing the progress in decoupling industrial growth from CO₂ emissions in the EU manufacturing sector. Energy Economics, 29 (4), 636, 2007.
• 66. National Bureau of Statistics of China. National Economy Industry Classification Annotations 2011, 4th ed.; China Statistics Press: Beijing, China, 2011.
• 67. Department of Energy Statistics, National Bureau of Statistics, China Energy Statistical Yearbook (1990-2014); China Statistics Press: Beijing, China, 2014.
• 68. Statistics Bureau of Xinjiang Uygur Autonomous Region; Xinjiang Statistical Yearbook (1990-2014); China Statistics Press: Beijing, China, 2014.

Identyfikatory

DOI

10.15244/pjoes/67553