IDEAS home Printed from https://ideas.repec.org/a/eee/ecanpo/v76y2022icp876-884.html
   My bibliography  Save this article

Measuring environmental efficiency in relation to socio-economic factors: A two stage analysis

Author

Listed:
  • Halkos, George
  • Bampatsou, Christina

Abstract

The purpose of this study is to estimate the efficiency exemplified by a production function of EU-28 countries from 1995 to 2019. We explore the capability of these countries to convert in an environmentally efficient way, the typical inputs of labor force, capital stock together with energy and land use into desirable (GDP) and undesirable (CO2, CH4) outputs. The countries in question are divided into groups that allow scientific comparison between static and dynamic specifications. The estimation results of the static frontiers when compared to the dynamic ones indicate an underestimation for some groups during the period under consideration. In the second stage the main determinants necessary to be considered for benchmarking of static and dynamic efficiency scores are explored using static specifications of the Simar–Wilson regression and FEs panel data analysis and the dynamic effects of the generalized method of moments (GMM). The findings may help policy makers to plan efficient strategies taking into consideration the effects of economic growth, industrialization, urbanization and the population density.

Suggested Citation

  • Halkos, George & Bampatsou, Christina, 2022. "Measuring environmental efficiency in relation to socio-economic factors: A two stage analysis," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 876-884.
    • Handle: RePEc:eee:ecanpo:v:76:y:2022:i:c:p:876-884
    DOI: 10.1016/j.eap.2022.09.024
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0313592622001667
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.eap.2022.09.024?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. Robert C. Feenstra & Robert Inklaar & Marcel P. Timmer, 2015. "The Next Generation of the Penn World Table," American Economic Review, American Economic Association, vol. 105(10), pages 3150-3182, October.
    2. Halkos, George Emm. & Tzeremes, Nickolaos G., 2009. "Exploring the existence of Kuznets curve in countries' environmental efficiency using DEA window analysis," Ecological Economics, Elsevier, vol. 68(7), pages 2168-2176, May.
    3. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
    4. M. Hashem Pesaran, 2007. "A simple panel unit root test in the presence of cross-section dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 265-312.
    5. Joakim Westerlund, 2007. "Testing for Error Correction in Panel Data," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 69(6), pages 709-748, December.
    6. T. S. Breusch & A. R. Pagan, 1980. "The Lagrange Multiplier Test and its Applications to Model Specification in Econometrics," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 47(1), pages 239-253.
    7. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 112-134.
    8. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    9. Antonis Adam & Sofia Tsarsitalidou, 2019. "Environmental policy efficiency: measurement and determinants," Economics of Governance, Springer, vol. 20(1), pages 1-22, March.
    10. John C. Driscoll & Aart C. Kraay, 1998. "Consistent Covariance Matrix Estimation With Spatially Dependent Panel Data," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 549-560, November.
    11. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    12. Wu, F. & Fan, L.W. & Zhou, P. & Zhou, D.Q., 2012. "Industrial energy efficiency with CO2 emissions in China: A nonparametric analysis," Energy Policy, Elsevier, vol. 49(C), pages 164-172.
    13. Jesús Peiró-Palomino & Andrés J. Picazo-Tadeo, 2019. "Is Social Capital Green? Cultural Features and Environmental Performance in the European Union," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 72(3), pages 795-822, March.
    14. Jia Li & Decai Tang & Acheampong Paul Tenkorang & Zhuoran Shi, 2021. "Research on Environmental Regulation and Green Total Factor Productivity in Yangtze River Delta: From the Perspective of Financial Development," IJERPH, MDPI, vol. 18(23), pages 1-24, November.
    15. repec:bla:obuest:v:61:y:1999:i:0:p:631-52 is not listed on IDEAS
    16. Halkos, George E., 2003. "Environmental Kuznets Curve for sulfur: evidence using GMM estimation and random coefficient panel data models," Environment and Development Economics, Cambridge University Press, vol. 8(4), pages 581-601, October.
    17. Lee, Boon L. & Wilson, Clevo & Simshauser, Paul & Majiwa, Eucabeth, 2021. "Deregulation, efficiency and policy determination: An analysis of Australia's electricity distribution sector," Energy Economics, Elsevier, vol. 98(C).
    18. Haidong Yu & Juanjuan Zhao, 2020. "The Impact of Environmental Conditions on Urban Eco-Sustainable Total Factor Productivity: A Case Study of 21 Cities in Guangdong Province, China," IJERPH, MDPI, vol. 17(4), pages 1-21, February.
    19. Jebali, Eya & Essid, Hédi & Khraief, Naceur, 2017. "The analysis of energy efficiency of the Mediterranean countries: A two-stage double bootstrap DEA approach," Energy, Elsevier, vol. 134(C), pages 991-1000.
    20. Bampatsou, Christina & Halkos, George, 2018. "Dynamics of productivity taking into consideration the impact of energy consumption and environmental degradation," Energy Policy, Elsevier, vol. 120(C), pages 276-283.
    21. Seiford, Lawrence M. & Zhu, Joe, 2002. "Modeling undesirable factors in efficiency evaluation," European Journal of Operational Research, Elsevier, vol. 142(1), pages 16-20, October.
    22. G. S. Maddala & Shaowen Wu, 1999. "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 631-652, November.
    23. Bampatsou, Christina & Halkos, George, 2019. "Economic growth, efficiency and environmental elasticity for the G7 countries," Energy Policy, Elsevier, vol. 130(C), pages 355-360.
    24. Fan, Meiting & Shao, Shuai & Yang, Lili, 2015. "Combining global Malmquist–Luenberger index and generalized method of moments to investigate industrial total factor CO2 emission performance: A case of Shanghai (China)," Energy Policy, Elsevier, vol. 79(C), pages 189-201.
    25. Chong Huang & Kedong Yin & Zhe Liu & Tonggang Cao, 2021. "Spatial and Temporal Differences in the Green Efficiency of Water Resources in the Yangtze River Economic Belt and Their Influencing Factors," IJERPH, MDPI, vol. 18(6), pages 1-18, March.
    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. Eshagh Mansourkiaee, 2023. "Estimating energy demand elasticities for gas exporting countries: a dynamic panel data approach," SN Business & Economics, Springer, vol. 3(1), pages 1-28, January.
    2. George E. Halkos & Michael L. Polemis, 2017. "Does Financial Development Affect Environmental Degradation? Evidence from the OECD Countries," Business Strategy and the Environment, Wiley Blackwell, vol. 26(8), pages 1162-1180, December.
    3. Someshwar Rao & Jiang Li, 2013. "Explaining Slower Productivity Growth: The Role of Weak Demand Growth," International Productivity Monitor, Centre for the Study of Living Standards, vol. 26, pages 3-19, Fall.
    4. R. Golinelli & I. Mammi & A. Musolesi, 2018. "Parameter heterogeneity, persistence and cross-sectional dependence: new insights on fiscal policy reaction functions for the Euro area," Working Papers wp1120, Dipartimento Scienze Economiche, Universita' di Bologna.
    5. Santiago, Renato & Fuinhas, José Alberto & Marques, António Cardoso, 2020. "An analysis of the energy intensity of Latin American and Caribbean countries: Empirical evidence on the role of public and private capital stock," Energy, Elsevier, vol. 211(C).
    6. Huy Quang Doan, 2019. "Trade, Institutional Quality and Income: Empirical Evidence for Sub-Saharan Africa," Economies, MDPI, vol. 7(2), pages 1-23, May.
    7. Wilman-Santiago Ochoa-Moreno & Byron Alejandro Quito & Carlos Andrés Moreno-Hurtado, 2021. "Foreign Direct Investment and Environmental Quality: Revisiting the EKC in Latin American Countries," Sustainability, MDPI, vol. 13(22), pages 1-18, November.
    8. Aladejare, Samson Adeniyi, 2022. "Natural resource rents, globalisation and environmental degradation: New insight from 5 richest African economies," Resources Policy, Elsevier, vol. 78(C).
    9. Hikmet Akyol & Selim Basar, 2024. "Empirical Analysis of Turkish Banking Sector Institutional and Macroeconomic Determinants of Risks," Istanbul Journal of Economics-Istanbul Iktisat Dergisi, Istanbul University, Faculty of Economics, vol. 73(74-1), pages 59-98, June.
    10. T. Gries & M. Redlin, 2020. "Trade and economic development: global causality and development- and openness-related heterogeneity," International Economics and Economic Policy, Springer, vol. 17(4), pages 923-944, October.
    11. Acikgoz, Senay & Ben Ali, Mohamed Sami, 2019. "Where does economic growth in the Middle Eastern and North African countries come from?," The Quarterly Review of Economics and Finance, Elsevier, vol. 73(C), pages 172-183.
    12. Skare, Marinko & Ozturk, Ilhan & Porada-Rochoń, Małgorzata & Stjepanovic, Sasa, 2024. "Energy as the new frontier: Dynamic panel data analysis revealing energy's transformative role in economic growth and technological progress," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    13. Mushtaq Ahmad Malik & Tariq Masood, 2022. "Dynamics of Output Growth and Convergence in the Middle East and North African Countries: Heterogeneous Panel ARDL Approach," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(2), pages 1444-1469, June.
    14. Muhammad Azam & Zia Ur Rehman & Yusnidah Ibrahim, 2022. "Causal nexus in industrialization, urbanization, trade openness, and carbon emissions: empirical evidence from OPEC economies," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(12), pages 13990-14010, December.
    15. Charalampos Agiropoulos & Michael L. Polemis & Michael Siopsis & Sotiris Karkalakos, 2022. "Revisiting the finance‐growth nexus: A socioeconomic approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(3), pages 2762-2783, July.
    16. Delphin Kamanda Espoir & Nicholas Ngepah, 2021. "Income distribution and total factor productivity: a cross-country panel cointegration analysis," International Economics and Economic Policy, Springer, vol. 18(4), pages 661-698, October.
    17. Bampatsou, Christina & Halkos, George & Beneki, Christina, 2021. "Energy and material flow management to improve EU productivity," Economic Analysis and Policy, Elsevier, vol. 70(C), pages 83-93.
    18. Cristiana Tudor & Robert Sova, 2021. "On the Impact of GDP per Capita, Carbon Intensity and Innovation for Renewable Energy Consumption: Worldwide Evidence," Energies, MDPI, vol. 14(19), pages 1-25, October.
    19. Mariam Camarero & Sergi Moliner & Cecilio Tamarit, 2022. "Which are the long-run determinants of US outward FDI? Evidence using large long-memory panels," Working Papers 2022.08, International Network for Economic Research - INFER.
    20. Saadaoui, Jamel, 2012. "Déséquilibres globaux, taux de change d’équilibre et modélisation stock-flux cohérente [Global Imbalances, Equilibrium Exchange Rates and Stock-Flow Consistent Modelling]," MPRA Paper 51332, University Library of Munich, Germany.

    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:ecanpo:v:76:y:2022:i:c:p:876-884. 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.journals.elsevier.com/economic-analysis-and-policy .

    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.