IDEAS home Printed from https://ideas.repec.org/r/eee/eneeco/v40y2013icp637-644.html
   My bibliography  Save this item

Changing energy intensity of economies in the world and its decomposition

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Lizhan Cao & Zhongying Qi, 2017. "Theoretical Explanations for the Inverted-U Change of Historical Energy Intensity," Sustainability, MDPI, vol. 9(6), pages 1-19, June.
  2. Sueyoshi, Toshiyuki & Yuan, Yan & Goto, Mika, 2017. "A literature study for DEA applied to energy and environment," Energy Economics, Elsevier, vol. 62(C), pages 104-124.
  3. Zaim, Osman & Uygurtürk Gazel, Tuğçe & Akkemik, K. Ali, 2017. "Measuring energy intensity in Japan: A new method," European Journal of Operational Research, Elsevier, vol. 258(2), pages 778-789.
  4. Oludolapo A Olanrewaju, 2018. "Energy consumption in South African industry: A decomposition analysis using the LMDI approach," Energy & Environment, , vol. 29(2), pages 232-244, March.
  5. Tafadzwa Ruzive & Thando Mkhombo & Simbarashe Mhaka & Nomahlubi Mavikela & Andrew Phiri, 2019. "Electricity Intensity and Unemployment in South Africa: A Quantile Regression Analysis," International Journal of Energy Economics and Policy, Econjournals, vol. 9(1), pages 31-40.
  6. Gutiérrez-Pedrero, María Jesús & Tarancón, Miguel Ángel & del Río, Pablo & Alcántara, Vicent, 2018. "Analysing the drivers of the intensity of electricity consumption of non-residential sectors in Europe," Applied Energy, Elsevier, vol. 211(C), pages 743-754.
  7. Santosh Kumar Sahu and Sumedha Kamboj, 2019. "Decomposition Analysis of GHG Emissions In Emerging Economies," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 44(3), pages 59-77, September.
  8. Mohd Alsaleh & A. S. Abdul-Rahim, 2019. "Bioenergy Intensity and Its Determinants in European Continental Countries: Evidence Using GMM Estimation," Resources, MDPI, vol. 8(1), pages 1-14, February.
  9. Tzen-Ying Ling & Wei-Kai Hung & Chun-Tsu Lin & Michael Lu, 2020. "Dealing with Green Gentrification and Vertical Green-Related Urban Well-Being: A Contextual-Based Design Framework," Sustainability, MDPI, vol. 12(23), pages 1-24, November.
  10. Calcagnini, Giorgio & Giombini, Germana & Travaglini, Giuseppe, 2016. "Modelling energy intensity, pollution per capita and productivity in Italy: A structural VAR approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 1482-1492.
  11. Wang, Ke & Wei, Yi-Ming, 2016. "Sources of energy productivity change in China during 1997–2012: A decomposition analysis based on the Luenberger productivity indicator," Energy Economics, Elsevier, vol. 54(C), pages 50-59.
  12. Trinh, Hai Hong & Sharma, Gagan Deep & Tiwari, Aviral Kumar & Vo, Diem Thi Hong, 2022. "Examining the heterogeneity of financial development in the energy-environment nexus in the era of climate change: Novel evidence around the world," Energy Economics, Elsevier, vol. 116(C).
  13. Lin, Boqiang & Wang, Miao, 2021. "What drives energy intensity fall in China? Evidence from a meta-frontier approach," Applied Energy, Elsevier, vol. 281(C).
  14. Kempa, Karol & Haas, Christian, 2016. "Directed Technical Change and Energy Intensity Dynamics: Structural Change vs. Energy Efficiency," VfS Annual Conference 2016 (Augsburg): Demographic Change 145722, Verein für Socialpolitik / German Economic Association.
  15. Pui, Kiew Ling & Othman, Jamal, 2019. "The influence of economic, technical, and social aspects on energy-associated CO2 emissions in Malaysia: An extended Kaya identity approach," Energy, Elsevier, vol. 181(C), pages 468-493.
  16. Christian Haas and Karol Kempa, 2018. "Directed Technical Change and Energy Intensity Dynamics: Structural Change vs. Energy Efficiency," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
  17. Wang, H. & Zhou, P., 2018. "Multi-country comparisons of CO2 emission intensity: The production-theoretical decomposition analysis approach," Energy Economics, Elsevier, vol. 74(C), pages 310-320.
  18. Pappas, Dimitrios & Chalvatzis, Konstantinos J. & Guan, Dabo & Ioannidis, Alexis, 2018. "Energy and carbon intensity: A study on the cross-country industrial shift from China to India and SE Asia," Applied Energy, Elsevier, vol. 225(C), pages 183-194.
  19. Kynčlová, Petra & Upadhyaya, Shyam & Nice, Thomas, 2020. "Composite index as a measure on achieving Sustainable Development Goal 9 (SDG-9) industry-related targets: The SDG-9 index," Applied Energy, Elsevier, vol. 265(C).
  20. Brown, Alistair, 2016. "The need for improved financial reporting of a developing country energy utility," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 1448-1454.
  21. Kuriyama, Akihisa & Tamura, Kentaro & Kuramochi, Takeshi, 2019. "Can Japan enhance its 2030 greenhouse gas emission reduction targets? Assessment of economic and energy-related assumptions in Japan's NDC," Energy Policy, Elsevier, vol. 130(C), pages 328-340.
  22. Liu, Yang & Zhong, Sheng, 2021. "Cross-Economy Dynamics in Energy Productivity: Evidence from 47 Economies over the Period 2000–2015," ADBI Working Papers 1215, Asian Development Bank Institute.
  23. Du, Kerui & Lin, Boqiang, 2015. "Understanding the rapid growth of China's energy consumption: A comprehensive decomposition framework," Energy, Elsevier, vol. 90(P1), pages 570-577.
  24. Chen, Feng-Wen & Tan, Yulu & Chen, Fengzhang & Wu, Yong-Qiu, 2021. "Enhancing or suppressing: The effect of labor costs on energy intensity in emerging economies," Energy, Elsevier, vol. 214(C).
  25. Rolf Färe & Shawna Grosskopf & Carl A. Pasurka & Ron Shadbegian, 2018. "Pollution abatement and employment," Empirical Economics, Springer, vol. 54(1), pages 259-285, February.
  26. Wang, Hui & Li, Rupeng & Zhang, Ning & Zhou, Peng & Wang, Qiang, 2020. "Assessing the role of technology in global manufacturing energy intensity change: A production-theoretical decomposition analysis," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
  27. Wang, Chunhua & Cao, Xiaoyong & Mao, Jie & Qin, Ping, 2019. "The changes in coal intensity of electricity generation in Chinese coal-fired power plants," Energy Economics, Elsevier, vol. 80(C), pages 491-501.
  28. Flavio R. Arroyo M. & Luis J. Miguel, 2019. "The Trends of the Energy Intensity and CO 2 Emissions Related to Final Energy Consumption in Ecuador: Scenarios of National and Worldwide Strategies," Sustainability, MDPI, vol. 12(1), pages 1-21, December.
  29. Li, Ke & Lin, Boqiang, 2018. "How to promote energy efficiency through technological progress in China?," Energy, Elsevier, vol. 143(C), pages 812-821.
  30. Konstantin Sommer & Henri L.F. de Groot & Franc Klaassen, 2022. "The effects of market integration on pollution: an analysis of EU enlargements," Tinbergen Institute Discussion Papers 22-039/VI, Tinbergen Institute, revised 21 Mar 2023.
  31. Huang, Junbing & Du, Dan & Tao, Qizhi, 2017. "An analysis of technological factors and energy intensity in China," Energy Policy, Elsevier, vol. 109(C), pages 1-9.
  32. Houjian Li & Xiaolei Zhou & Mengqian Tang & Lili Guo, 2022. "Impact of Population Aging and Renewable Energy Consumption on Agricultural Green Total Factor Productivity in Rural China: Evidence from Panel VAR Approach," Agriculture, MDPI, vol. 12(5), pages 1-19, May.
  33. Oh, Dong-hyun & Lee, Yong-Gil, 2016. "Productivity decomposition and economies of scale of Korean fossil-fuel power generation companies: 2001–2012," Energy, Elsevier, vol. 100(C), pages 1-9.
  34. Deichmann, Uwe & Reuter, Anna & Vollmer, Sebastian & Zhang, Fan, 2019. "The relationship between energy intensity and economic growth: New evidence from a multi-country multi-sectorial dataset," World Development, Elsevier, vol. 124(C), pages 1-1.
  35. Huang, Yongfu, 2014. "Drivers of rising global energy demand: The importance of spatial lag and error dependence," Energy, Elsevier, vol. 76(C), pages 254-263.
  36. Bongseok Choi & Wooyoung Park & Bok-Keun Yu, 2015. "Energy Efficiency and Firm Growth," Working Papers 2015-28, Economic Research Institute, Bank of Korea.
  37. Adom, Philip Kofi & Adams, Samuel, 2018. "Energy savings in Nigeria. Is there a way of escape from energy inefficiency?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2421-2430.
  38. Wang, H. & Zhou, P. & Xie, Bai-Chen & Zhang, N., 2019. "Assessing drivers of CO2 emissions in China's electricity sector: A metafrontier production-theoretical decomposition analysis," European Journal of Operational Research, Elsevier, vol. 275(3), pages 1096-1107.
  39. Li, Ke & Zhang, Ning & Liu, Yanchu, 2016. "The energy rebound effects across China’s industrial sectors: An output distance function approach," Applied Energy, Elsevier, vol. 184(C), pages 1165-1175.
  40. Barrera-Santana, J. & Marrero, Gustavo A. & Ramos-Real, Francisco J., 2022. "Income, energy and the role of energy efficiency governance," Energy Economics, Elsevier, vol. 108(C).
  41. Song, Malin & Peng, Jun & Wang, Jianlin & Zhao, Jiajia, 2018. "Environmental efficiency and economic growth of China: A Ray slack-based model analysis," European Journal of Operational Research, Elsevier, vol. 269(1), pages 51-63.
  42. Azad Haider & Wimal Rankaduwa & Farzana Shaheen & Sunila Jabeen, 2023. "The Nexus between GHGs Emissions and Clean Growth: Empirical Evidence from Canadian Provinces," Sustainability, MDPI, vol. 15(3), pages 1-19, January.
  43. Proskuryakova, L. & Kovalev, A., 2015. "Measuring energy efficiency: Is energy intensity a good evidence base?," Applied Energy, Elsevier, vol. 138(C), pages 450-459.
  44. Lima, Fátima & Nunes, Manuel Lopes & Cunha, Jorge & Lucena, André F.P., 2017. "Driving forces for aggregate energy consumption: A cross-country approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P2), pages 1033-1050.
  45. Sinha, Avik, 2016. "Trilateral association between SO2 / NO2 emission, inequality in energy intensity, and economic growth: A case of Indian cities," MPRA Paper 100010, University Library of Munich, Germany.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.