About the Journal
About the Journal
Editorial Board
Scientific Council
Ethical Code
Terms of the journal
GDRP - information on the processing of personal data
Indexing
Licenses & Access
Archive
For Authors
Publishing Policy
Technical instruction for the authors
Ethical Code for authors
Agreement CC BY-SA
Copyright statement
Review procedure
The procedure of reviewing
Ethical Code or Peer Reviewers
Reviewer's form
List of reviewers
Contact
About the Journal
About the Journal
Editorial Board
Scientific Council
Ethical Code
Terms of the journal
GDRP - information on the processing of personal data
Indexing
Licenses & Access
ORIGINAL PAPER
Determinants of Energy Intensity in Emerging Economies: A Comprehensive Review of the Last Three Decades
1
University of Warsaw
2
Superior University, Lahore
Submission date: 2023-11-25
Final revision date: 2024-05-13
Acceptance date: 2024-05-15
Publication date: 2024-06-27
JoMS 2024;56(2):663-693
KEYWORDS
SustainabilityEnergy intensityEnergy economicsEmerging economiesBibliometric Analysis and VisualizationRebound effect
TOPICS
ABSTRACT
Objectives:
This review article delves into the determinants of energy intensity in emerging economies, spanning the past 30 years of research accessed from Web of Science. The review employ data visualization techniques to present a bird's-eye view of the research landscape, showcasing the geographical distribution of studies, prominent authors, and key journals in the field.
Material and methods:
This bibliometric study utilized the March 2023 edition of the Web of Science (WoS) Core Collection database for its papers. The literature review covers the years 1993 to 2023 and includes all studies on the subject of energy intensity in the pursuit of emerging economic goals. Journal articles are isolated from the other document types using an additional filter. The WoS Core Collection database had a total of 3,918 articles.
Results:
Through a systematic assessment of methodological approaches, we evaluate the robustness of the existing literature, pinpointing areas where methodological improvements and novel data sources can enhance future research. It offers valuable insights for policymakers, researchers, and practitioners striving to develop effective strategies for reducing energy intensity and promoting green growth.
Conclusions:
In conclusion, emerging economies' energy intensity levels are shaped by a complex interplay of determinants that were highlighted by the analysis of factors influencing energy intensity on economic growth. In order to achieve a more sustainable and resilient energy future, emerging economies must first address these determinants through research, collaboration, and policy actions.
This review article delves into the determinants of energy intensity in emerging economies, spanning the past 30 years of research accessed from Web of Science. The review employ data visualization techniques to present a bird's-eye view of the research landscape, showcasing the geographical distribution of studies, prominent authors, and key journals in the field.
Material and methods:
This bibliometric study utilized the March 2023 edition of the Web of Science (WoS) Core Collection database for its papers. The literature review covers the years 1993 to 2023 and includes all studies on the subject of energy intensity in the pursuit of emerging economic goals. Journal articles are isolated from the other document types using an additional filter. The WoS Core Collection database had a total of 3,918 articles.
Results:
Through a systematic assessment of methodological approaches, we evaluate the robustness of the existing literature, pinpointing areas where methodological improvements and novel data sources can enhance future research. It offers valuable insights for policymakers, researchers, and practitioners striving to develop effective strategies for reducing energy intensity and promoting green growth.
Conclusions:
In conclusion, emerging economies' energy intensity levels are shaped by a complex interplay of determinants that were highlighted by the analysis of factors influencing energy intensity on economic growth. In order to achieve a more sustainable and resilient energy future, emerging economies must first address these determinants through research, collaboration, and policy actions.
FUNDING
This research is part of the project No. 2022/45/P/HS4/00572 co-funded by the National Science Centre and the European Union Framework Programme for Research and Innovation Horizon 2020 under the Marie Skłodowska-Curie grant agreement No. 945339. For the purpose of Open Access, the author has applied a CC-BY public copyright license to any Author Accepted Manuscript (AAM) version arising from this submission.
REFERENCES (45)
1.
Adom, P. K., Appiah, M. O., & Agradi, M. P. (2019). Does financial development lower energy intensity?. Frontiers in Energy, 14(3), 620-634. https://doi.org/10.1007/s11708....
2.
Albrizio, S., Kozluk, T., & Zipperer, V. (2017). Environmental policies and productivity growth: Evidence across industries and firms. Journal of Environmental Economics and Management, 81, 209-226.
3.
Atalla, T. and Bean, P. (2017). Determinants of energy productivity in 39 countries: an empirical investigation. Energy Economics, 62, 217-229. https://doi.org/10.1016/j.enec....
4.
Bhat, J. A., Haider, S., & Kamaiah, B. (2018). Interstate energy efficiency of Indian paper industry: A slack-based non-parametric approach. Energy, 161, 284-298.
5.
Brockway, P. E., Sorrell, S., Semieniuk, G., Heun, M. K., & Court, V. (2021). Energy efficiency and economy-wide rebound effects: A review of the evidence and its implications. Renewable and sustainable energy reviews, 141, 110781.
6.
Cantore, N., Calì, M., & te Velde, D. W. (2016). Does energy efficiency improve technological change and economic growth in developing countries? Energy Policy, 92, 279-285.
7.
Chalvatzis, K. J., Malekpoor, H., Mishra, N., Lettice, F., & Choudhary, S. (2019). Sustainable resource allocation for power generation: The role of big data in enabling interindustry architectural innovation. Technological Forecasting and Social Change, 144, 381-393.
8.
Chen, J., Gao, M., Ding, L., & Song, M. (2019). Analysis of the rebound effects of fossil and nonfossil energy in china based on sustainable development. Sustainable Development, 28(1), 235-246. https://doi.org/10.1002/sd.199....
9.
Cole, M. A. (2006). Does trade liberalization increase national energy use?. Economics Letters, 92(1), 108-112. https://doi.org/10.1016/j.econ....
10.
Cornillie, J. and Fankhauser, S. (2004). The energy intensity of transition countries. Energy Economics, 26(3), 283-295. https://doi.org/10.1016/j.enec....
11.
Dasgupta, S., & Roy, J. (2015). Understanding technological progress and input price as drivers of energy demand in manufacturing industries in India. Energy Policy, 83, 1-13.
12.
Deichmann, U., Reuter, A., Vollmer, S., & Zhang, F. (2018). Relationship between energy intensity and economic growth: new evidence from a multi-country multi-sector data set. World Bank Policy Research Working Paper(8322).
13.
Durusu-Ciftci, D., Soytas, U., & Nazlioglu, S. (2020). Financial development and energy consumption in emerging markets: Smooth structural shifts and causal linkages. Energy economics, 87, 104729.
14.
Elliott, R. J., Sun, P., & Chen, S. (2013). Energy intensity and foreign direct investment: a chinese city-level study. Energy Economics, 40, 484-494. https://doi.org/10.1016/j.enec....
15.
Fan, R., Luo, M., & Zhang, P. (2016). A study on evolution of energy intensity in China with heterogeneity and rebound effect. Energy, 99, 159-169.
16.
Fang, J. (2012). The rise of emerging economies: Theory, influence and policy analysis: China Development Press.
17.
Haider, S., & Mishra, P. P. (2021). Does innovative capability enhance the energy efficiency of Indian Iron and Steel firms? A Bayesian stochastic frontier analysis. Energy economics, 95, 105128.
18.
Ioannou, K., Tsantopoulos, G., Arabatzis, G., Andreopoulou, Z., & Zafeiriou, E. (2018). A spatial decision support system framework for the evaluation of biomass energy production locations: Case study in the regional unit of drama, Greece. Sustainability, 10(2), 531.
19.
Kouakou, A. K. and Soro, N. (2022). Drivers of energy efficiency in west african countries. Journal of Sustainable Development, 15(5), 39. https://doi.org/10.5539/jsd.v1....
20.
Kumar, A., Mittal, A., & Pradhan, A. K. (2023). Magnitude and determinants of energy intensity: evidence from Indian firms. Environmental Science and Pollution Research, 30(2), 3270-3281. doi: 10.1007/s11356-022-22346-9.
21.
Lin, B. and Liu, C. (2016). Why is electricity consumption inconsistent with economic growth in china?. Energy Policy, 88, 310-316. https://doi.org/10.1016/j.enpo....
22.
Ma, C. and Stern, D. I. (2008). China’s changing energy intensity trend: a decomposition analysis. Energy Economics, 30(3), 1037-1053. https://doi.org/10.1016/j.enec....
23.
Mielnik, O. and Goldemberg, J. (2002). Foreign direct investment and decoupling between energy and gross domestic product in developing countries. Energy Policy, 30(2), 87-89. https://doi.org/10.1016/s0301-....
24.
Nguyen, C. P., Thanh, S. D., & Nasir, M. (2020). Nexus between financial development & energy intensity: two sides of a coin?. Journal of Environmental Management, 270, 110902. https://doi.org/10.1016/j.jenv....
25.
Nilsson, L. J. (1993). Energy intensity trends in 31 industrial and developing countries 1950–1988. Energy, 18(4), 309-322. https://doi.org/10.1016/0360-5....
26.
Özkara, Y., & Atak, M. (2015). Regional total-factor energy efficiency and electricity saving potential of manufacturing industry in Turkey. Energy, 93, 495-510.
27.
Panoutsou, C., Germer, S., Karka, P., Papadokostantakis, S., Kroyan, Y., Wojcieszyk, M., Landalv, I. (2021). Advanced biofuels to decarbonise European transport by 2030: Markets, challenges, and policies that impact their successful market uptake. Energy Strategy Reviews, 34, 100633.
28.
Pradhan, A. K., Rout, S., & Khan, I. A. (2021). Does market concentration affect wholesale electricity prices? An analysis of the Indian electricity sector in the COVID-19 pandemic context. Utilities Policy, 73, 101305.
29.
Pradhan, A. K., Sachan, A., Sahu, U. K., & Mohindra, V. (2022). Do foreign direct investment inflows affect environmental degradation in BRICS nations? Environmental Science and Pollution Research, 29, 690-701.
30.
Rafiq, S., Salim, R., & Nielsen, I. (2016). Urbanization, openness, emissions, and energy intensity: a study of increasingly urbanized emerging economies. Energy Economics, 56, 20-28. https://doi.org/10.1016/j.enec....
31.
Rajbhandari, A., & Zhang, F. (2018). Does energy efficiency promote economic growth? Evidence from a multicountry and multisectoral panel dataset. Energy economics, 69, 128-139.
32.
Rakpho, P., Yamaka, W., Puttachai, W., & Maneejuk, P. (2020). Role of financial development for solving the energy insecurity in asia. The Singapore Economic Review, 66(02), 413-434. https://doi.org/10.1142/s02175....
33.
Sahoo, M., & Sethi, N. (2020). Impact of industrialization, urbanization, and financial development on energy consumption: Empirical evidence from India. Journal of public affairs, 20(3), e2089.
34.
Shi, D., & Li, S. (2020). Emissions trading system and energy use efficiency—Measurements and empirical evidence for cities at and above the prefecture level. China Ind. Econ, 9, 5-23.
35.
Soni, A., Mittal, A., & Kapshe, M. (2017). Energy Intensity analysis of Indian manufacturing industries. Resource-Efficient Technologies, 3(3), 353-357.
36.
Sun, X., Jia, M., Xu, Z., Liu, Z., Liu, X., & Liu, Q. (2022). An investigation of the determinants of energy intensity in emerging market countries. Energy Strategy Reviews, 39, 100790. doi: https://doi.org/10.1016/j.esr.....
37.
Wang, Q., Jiang, R., & Zhan, L. (2019). Is decoupling economic growth from fuel consumption possible in developing countries?–A comparison of China and India. Journal of cleaner production, 229, 806-817.
38.
Wang, Q., Su, M., Li, R., & Ponce, P. (2019). The effects of energy prices, urbanization and economic growth on energy consumption per capita in 186 countries. Journal of cleaner production, 225, 1017-1032.
39.
Wang, S., Chen, S., & Zhang, H. (2021). Effect of income and energy efficiency on natural capital demand. Environmental Science and Pollution Research, 28, 45402-45413.
40.
Xing, L., Wei, T., Zhuo, Y., & Li, G. (2020). Assessment of the optimal rebound effects from energy intensity reduction. Journal of Cleaner Production, 251, 119668.
41.
Xu, J., & Wang, M. (2018). Green technology innovation, environmental regulation and energy intensity-an empirical study based on Chinese manufacturing industry. Studies in Science of Science, 36(04), 744-753.
42.
Zafeiriou, E., Arabatzis, G., Karanikola, P., Tampakis, S., & Tsiantikoudis, S. (2018). Agricultural commodities and crude oil prices: An empirical investigation of their relationship. Sustainability, 10(4), 1199.
43.
Zhang, H., & Fan, L.-W. (2019). Can emission trading help to improve energy efficiency in China? Energy Efficiency, 12, 979-991.
44.
Zhang, H., Chen, S., & Wang, S. (2022). Impact of economic growth and labor productivity dispersion on energy intensity in China. Energy, 242, 123004.
45.
Zhao, C., Zhang, H., Zeng, Y., Li, F., Liu, Y., Qin, C., & Yuan, J. (2018). Total-factor energy efficiency in BRI countries: An estimation based on three-stage DEA model. Sustainability, 10(1), 278.
| eISSN: | 2391-789X |
| ISSN: | 1734-2031 |
We process personal data collected when visiting the website. The function of obtaining information about users and their behavior is carried out by voluntarily entered information in forms and saving cookies in end devices. Data, including cookies, are used to provide services, improve the user experience and to analyze the traffic in accordance with the Privacy policy. Data are also collected and processed by Google Analytics tool (more).
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
