IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v368y2024ics0306261924006299.html
   My bibliography  Save this article

Impact of environmental, energy and business efficiency on CO2 emissions: A composite indicator for emerging Asia-Pacific markets

Author

Listed:
  • Aldieri, Luigi
  • Gatto, Andrea
  • Vinci, Concetto Paolo

Abstract

Environmental, energy, business and development dynamics have received strong research interest. However, previous studies have mainly explored these topics separately. Conversely, we study these aspects jointly, constructing a composite indicator and assessing resulting impact on several SDGs domains. The aim of the analysis is to discover the importance of latent aspects in explaning the environmental, energy and business efficiency for specific countries. Estimating this multidimensional efficiency is relevant for the identification of the conditions for the achievement of CO2 containment and sustainable development progress. We make use of the World Bank's World Development Indicators (WB WDI) for selected emerging countries from the Asia-Pacific region ranging from lower-middle-income to upper-middle-income economies, following the WB Group country classifications by income level. We build a composite indicator for eliciting diverse dimensions related to the environment, energy policy and economic factors. The first steps of the indicators analysis are achieved by the combination of the DEA and Tobit analyses. Therefore, we examine the environmental, energy and business efficiency according to the economic development stage of the analysed countries, making use of an entropy index. The index’ robustness is tested at both stages – first, exploring the Tobit analysis, therefore, by inspecting an additional Asia-Pacific country having a different income with respect to the benchmark. The results suggest the creation of country clusters. Above all, China outstands in terms of environmental efficiency and R&D, as a result of a broader energy development strategic plan in the last few decades.

Suggested Citation

  • Aldieri, Luigi & Gatto, Andrea & Vinci, Concetto Paolo, 2024. "Impact of environmental, energy and business efficiency on CO2 emissions: A composite indicator for emerging Asia-Pacific markets," Applied Energy, Elsevier, vol. 368(C).
    • Handle: RePEc:eee:appene:v:368:y:2024:i:c:s0306261924006299
    DOI: 10.1016/j.apenergy.2024.123246
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261924006299
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2024.123246?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Jiankun, He & Zhiwei, Yu & Da, Zhang, 2012. "China's strategy for energy development and climate change mitigation," Energy Policy, Elsevier, vol. 51(C), pages 7-13.
    2. Wang, Eric C. & Huang, Weichiao, 2007. "Relative efficiency of R&D activities: A cross-country study accounting for environmental factors in the DEA approach," Research Policy, Elsevier, vol. 36(2), pages 260-273, March.
    3. Matteo Mazziotta & Adriano Pareto, 2016. "On The Construction Of Composite Indices By Principal Components Analysis," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 70(1), pages 103-109, January-A.
    4. Nezameddin Faghih & Ebrahim Bonyadi & Lida Sarreshtehdari, 2021. "Assessing the entrepreneurship process: an application of the data envelopment analysis," Journal of Global Entrepreneurship Research, Springer;UNESCO Chair in Entrepreneurship, vol. 11(1), pages 311-327, December.
    5. Song, Malin & An, Qingxian & Zhang, Wei & Wang, Zeya & Wu, Jie, 2012. "Environmental efficiency evaluation based on data envelopment analysis: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(7), pages 4465-4469.
    6. Long, Xingle & Wu, Chao & Zhang, Jijian & Zhang, Jing, 2018. "Environmental efficiency for 192 thermal power plants in the Yangtze River Delta considering heterogeneity: A metafrontier directional slacks-based measure approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 3962-3971.
    7. Iftikhar, Yaser & Wang, Zhaohua & Zhang, Bin & Wang, Bo, 2018. "Energy and CO2 emissions efficiency of major economies: A network DEA approach," Energy, Elsevier, vol. 147(C), pages 197-207.
    8. Goto, Mika & Otsuka, Akihiro & Sueyoshi, Toshiyuki, 2014. "DEA (Data Envelopment Analysis) assessment of operational and environmental efficiencies on Japanese regional industries," Energy, Elsevier, vol. 66(C), pages 535-549.
    9. Charles, Vincent & D'Alessio, Fernando A., 2020. "An envelopment-based approach to measuring regional social progress," Socio-Economic Planning Sciences, Elsevier, vol. 70(C).
    10. Matteo Mazziotta & Adriano Pareto, 2019. "Use and Misuse of PCA for Measuring Well-Being," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 142(2), pages 451-476, April.
    11. Li, Jun & Wang, Xin, 2012. "Energy and climate policy in China's twelfth five-year plan: A paradigm shift," Energy Policy, Elsevier, vol. 41(C), pages 519-528.
    12. Yang, Mian & Hou, Yaru & Ji, Qiang & Zhang, Dayong, 2020. "Assessment and optimization of provincial CO2 emission reduction scheme in China: An improved ZSG-DEA approach," Energy Economics, Elsevier, vol. 91(C).
    13. Aldieri, Luigi & Gatto, Andrea & Vinci, Concetto Paolo, 2021. "Evaluation of energy resilience and adaptation policies: An energy efficiency analysis," Energy Policy, Elsevier, vol. 157(C).
    14. Lee, Tung-Hao & Chih, Shu-Hwa, 2013. "Does financial regulation affect the profit efficiency and risk of banks? Evidence from China's commercial banks," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 705-724.
    15. Le, Thai-Ha & Nguyen, Canh Phuc, 2019. "Is energy security a driver for economic growth? Evidence from a global sample," Energy Policy, Elsevier, vol. 129(C), pages 436-451.
    16. Liu, Hui-hui & Yang, Guo-liang & Liu, Xiao-xiao & Song, Yao-yao, 2020. "R&D performance assessment of industrial enterprises in China: A two-stage DEA approach," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    17. Giacalone, Massimiliano & Mattera, Raffaele & Nissi, Eugenia, 2022. "Well-being analysis of Italian provinces with spatial principal components," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    18. Zhao, Xin & Mahendru, Mandeep & Ma, Xiaowei & Rao, Amar & Shang, Yuping, 2022. "Impacts of environmental regulations on green economic growth in China: New guidelines regarding renewable energy and energy efficiency," Renewable Energy, Elsevier, vol. 187(C), pages 728-742.
    19. Emrouznejad, Ali & Yang, Guo-liang, 2016. "CO2 emissions reduction of Chinese light manufacturing industries: A novel RAM-based global Malmquist–Luenberger productivity index," Energy Policy, Elsevier, vol. 96(C), pages 397-410.
    20. Walter Leal Filho & Abdul-Lateef Balogun & Dinesh Surroop & Amanda Lange Salvia & Kapil Narula & Chunlan Li & Julian David Hunt & Andrea Gatto & Ayyoob Sharifi & Haibo Feng & Stella Tsani & Hossein Az, 2022. "Realising the Potential of Renewable Energy as a Tool for Energy Security in Small Island Developing States," Sustainability, MDPI, vol. 14(9), pages 1-21, April.
    21. David Popp & Jacquelyn Pless & Ivan Haščič & Nick Johnstone, 2020. "Innovation and Entrepreneurship in the Energy Sector," NBER Chapters, in: The Role of Innovation and Entrepreneurship in Economic Growth, pages 175-248, National Bureau of Economic Research, Inc.
    22. Eugenia Nissi & Massimiliano Giacalone & Carlo Cusatelli, 2019. "The Efficiency of the Italian Judicial System: A Two Stage Data Envelopment Analysis Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 146(1), pages 395-407, November.
    23. Zhu, Qingyuan & Li, Xingchen & Li, Feng & Wu, Jie & Zhou, Dequn, 2020. "Energy and environmental efficiency of China's transportation sectors under the constraints of energy consumption and environmental pollutions," Energy Economics, Elsevier, vol. 89(C).
    24. De, Debashree & Chowdhury, Soumyadeb & Dey, Prasanta Kumar & Ghosh, Sadhan Kumar, 2020. "Impact of Lean and Sustainability Oriented Innovation on Sustainability Performance of Small and Medium Sized Enterprises: A Data Envelopment Analysis-based framework," International Journal of Production Economics, Elsevier, vol. 219(C), pages 416-430.
    25. Pelin Demirel & Qian Cher Li & Francesco Rentocchini & J. Pawan Tamvada, 2019. "Born to be green: new insights into the economics and management of green entrepreneurship," Small Business Economics, Springer, vol. 52(4), pages 759-771, April.
    26. Muhammad, Sulaman & Pan, Yanchun & Agha, Mujtaba Hassan & Umar, Muhammad & Chen, Siyuan, 2022. "Industrial structure, energy intensity and environmental efficiency across developed and developing economies: The intermediary role of primary, secondary and tertiary industry," Energy, Elsevier, vol. 247(C).
    27. Michael Freudenberg, 2003. "Composite Indicators of Country Performance: A Critical Assessment," OECD Science, Technology and Industry Working Papers 2003/16, OECD Publishing.
    28. Eugenia Nissi & Annalina Sarra, 2018. "A Measure of Well-Being Across the Italian Urban Areas: An Integrated DEA-Entropy Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 136(3), pages 1183-1209, April.
    29. Drago, Carlo & Gatto, Andrea, 2023. "Gauging energy poverty in developing countries with a composite metric of electricity access," Utilities Policy, Elsevier, vol. 81(C).
    30. Catalin Popescu & Eglantina Hysa & Alba Kruja & Egla Mansi, 2022. "Social Innovation, Circularity and Energy Transition for Environmental, Social and Governance (ESG) Practices—A Comprehensive Review," Energies, MDPI, vol. 15(23), pages 1-28, November.
    31. Yelena Vechkinzova & Yelena Petrenko & Yelena Petrenko & Stanislav Benčič & Dmitriy Ulybyshev & Dmitriy Ulybyshev & Yerlan Zhailauov & Yerlan Zhailauov, 2019. "Evaluation of regional innovation systems performance using Data Envelopment Analysis (DEA)," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 7(1), pages 498-509, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Giacalone, Massimiliano & Mattera, Raffaele & Nissi, Eugenia, 2022. "Well-being analysis of Italian provinces with spatial principal components," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    2. Wang, H., 2015. "A generalized MCDA–DEA (multi-criterion decision analysis–data envelopment analysis) approach to construct slacks-based composite indicator," Energy, Elsevier, vol. 80(C), pages 114-122.
    3. Chu, Junfei & Shao, Caifeng & Emrouznejad, Ali & Wu, Jie & Yuan, Zhe, 2021. "Performance evaluation of organizations considering economic incentives for emission reduction: A carbon emission permit trading approach," Energy Economics, Elsevier, vol. 101(C).
    4. Du, Yuqiu & Wang, Wendi, 2023. "The role of green financing, agriculture development, geopolitical risk, and natural resource on environmental pollution in China," Resources Policy, Elsevier, vol. 82(C).
    5. Chu, Junfei & Dong, Yanhua & Yuan, Zhe, 2024. "An improved equilibrium efficient frontier data envelopment analysis approach for evaluating decision-making units with fixed-sum outputs," European Journal of Operational Research, Elsevier, vol. 318(2), pages 592-604.
    6. Nakaishi, Tomoaki & Takayabu, Hirotaka & Eguchi, Shogo, 2021. "Environmental efficiency analysis of China's coal-fired power plants considering heterogeneity in power generation company groups," Energy Economics, Elsevier, vol. 102(C).
    7. Chia-Nan Wang & Hoang-Phu Nguyen & Cheng-Wen Chang, 2021. "Environmental Efficiency Evaluation in the Top Asian Economies: An Application of DEA," Mathematics, MDPI, vol. 9(8), pages 1-19, April.
    8. Jin-Li Hu & Tien-Yu Chang, 2023. "Energy Resilience: A Cross-Economy Comparison," Energies, MDPI, vol. 16(5), pages 1-21, February.
    9. Pérez, Karen & González-Araya, Marcela C. & Iriarte, Alfredo, 2017. "Energy and GHG emission efficiency in the Chilean manufacturing industry: Sectoral and regional analysis by DEA and Malmquist indexes," Energy Economics, Elsevier, vol. 66(C), pages 290-302.
    10. Linlin Zhao & Lin Zhang & Yong Zha, 2019. "Industrial Efficiency Evaluation in China: A Nonparametric Production-Frontier Approach," Sustainability, MDPI, vol. 11(18), pages 1-23, September.
    11. Jiang, Lei & Zhou, Haifeng & He, Shixiong, 2021. "Does energy efficiency increase at the expense of output performance: Evidence from manufacturing firms in Jiangsu province, China," Energy, Elsevier, vol. 220(C).
    12. Enrico Ivaldi & Paolo Parra Saiani & Juan José Primosich & Carolina Bruzzi, 2020. "Health and Deprivation: A New Approach Applied to 32 Argentinian Urban Areas," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 151(1), pages 155-179, August.
    13. Karagiannis, Roxani & Karagiannis, Giannis, 2020. "Constructing composite indicators with Shannon entropy: The case of Human Development Index," Socio-Economic Planning Sciences, Elsevier, vol. 70(C).
    14. Talat S. Genc & Stephen Kosempel, 2023. "Energy Transition and the Economy: A Review Article," Energies, MDPI, vol. 16(7), pages 1-26, March.
    15. Qin, Quande & Li, Xin & Li, Li & Zhen, Wei & Wei, Yi-Ming, 2017. "Air emissions perspective on energy efficiency: An empirical analysis of China’s coastal areas," Applied Energy, Elsevier, vol. 185(P1), pages 604-614.
    16. Wang, Jianda & Dong, Kangyin & Sha, Yezhou & Yan, Cheng, 2022. "Envisaging the carbon emissions efficiency of digitalization: The case of the internet economy for China," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    17. Rui Zhou, 2022. "Measurement and Spatial-Temporal Characteristics of Inclusive Green Growth in China," Land, MDPI, vol. 11(8), pages 1-36, July.
    18. Yue Zhao & Jorge Antunes & Yong Tan & Peter Wanke, 2024. "Demographic efficiency drivers in the Chinese energy production chain: A hybrid neural multi‐activity network data envelopment analysis," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(2), pages 1762-1780, April.
    19. Matheus Pereira Libório & Alexandre Magno Alvez Diniz & Douglas Alexandre Gomes Vieira & Petr Iakovlevitch Ekel, 2024. "Subjective–Objective Method of Maximizing the Average Variance Extracted From Sub-indicators in Composite Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 175(2), pages 613-637, November.
    20. Juanjuan Tian & Xiaoqian Song & Jinsuo Zhang, 2022. "Spatial-Temporal Pattern and Driving Factors of Carbon Efficiency in China: Evidence from Panel Data of Urban Governance," Energies, MDPI, vol. 15(7), pages 1-24, March.

    More about this item

    Keywords

    Environmental; energy and business efficiency; Asia-Pacific; SDGs; DEA-Tobit analysis; Entropy index; Composite indicator;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • L2 - Industrial Organization - - Firm Objectives, Organization, and Behavior
    • M14 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Corporate Culture; Diversity; Social Responsibility
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • Q49 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Other
    • Q55 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Technological Innovation

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:appene:v:368:y:2024:i:c:s0306261924006299. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.