IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/106964.html
   My bibliography  Save this paper

Biomass energy consumption and economic growth: Evidence from top 10 biomass consumer countries

Author

Listed:
  • Destek, Mehmet Akif

Abstract

This study aims to investigate the economic efficiency of biomass energy consumption for the period from 1980 to 2013 in top 10 biomass energy consumer countries. For this purpose, this study uses both augmented mean group (AMG) estimator and panel bootstrap causality method which are suitable for dependent and heterogeneous panels. The results of AMG estimator shows that economic growth is positively affected by biomass energy use in Brazil, China, Finland, Germany, Italy and Sweden. In addition, empirical findings from panel bootstrap causality test show that the growth hypothesis is valid for Brazil, Germany, India and Italy; the conservation hypothesis is supported in Sweden, the feedback hypothesis is confirmed in China and the US; the neutrality hypothesis is valid in Finland, Japan and the UK.

Suggested Citation

  • Destek, Mehmet Akif, 2017. "Biomass energy consumption and economic growth: Evidence from top 10 biomass consumer countries," MPRA Paper 106964, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:106964
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/106964/1/MPRA_paper_106964.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. M. Hashem Pesaran & Aman Ullah & Takashi Yamagata, 2008. "A bias-adjusted LM test of error cross-section independence," Econometrics Journal, Royal Economic Society, vol. 11(1), pages 105-127, March.
    2. Hashem Pesaran, M. & Yamagata, Takashi, 2008. "Testing slope homogeneity in large panels," Journal of Econometrics, Elsevier, vol. 142(1), pages 50-93, January.
    3. Bilgili, Faik & Ozturk, Ilhan, 2015. "Biomass energy and economic growth nexus in G7 countries: Evidence from dynamic panel data," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 132-138.
    4. Ozturk, Ilhan & Bilgili, Faik, 2015. "Economic growth and biomass consumption nexus: Dynamic panel analysis for Sub-Sahara African countries," Applied Energy, Elsevier, vol. 137(C), pages 110-116.
    5. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    6. Adewuyi, Adeolu O. & Awodumi, Olabanji B., 2017. "Biomass energy consumption, economic growth and carbon emissions: Fresh evidence from West Africa using a simultaneous equation model," Energy, Elsevier, vol. 119(C), pages 453-471.
    7. Shahbaz, Muhammad & Rasool, Ghulam & Ahmed, Khalid & Mahalik, Mantu Kumar, 2016. "Considering the effect of biomass energy consumption on economic growth: Fresh evidence from BRICS region," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 1442-1450.
    8. Eberhardt, Markus & Bond, Stephen, 2009. "Cross-section dependence in nonstationary panel models: a novel estimator," MPRA Paper 17692, University Library of Munich, Germany.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Shamal Chandra Karmaker & Kanchan Kumar Sen & Shaymal C. Halder & Andrew Chapman & Shahadat Hosan & Md. Matiar Rahman & Bidyut Baran Saha, 2024. "Evaluating the Ecological Footprint of Biomass Energy: Parametric and Time-Varying Nonparametric Analyses," Sustainability, MDPI, vol. 16(16), pages 1-16, August.
    2. Aydin, Mucahit, 2019. "The effect of biomass energy consumption on economic growth in BRICS countries: A country-specific panel data analysis," Renewable Energy, Elsevier, vol. 138(C), pages 620-627.
    3. Naqvi, Syed Asif Ali & Hussain, Mehvish & Hussain, Bilal & Shah, Syed Ale Raza & Nazir, Jawad & Usman, Muhammad, 2023. "Environmental sustainability and biomass energy consumption through the lens of pollution Haven hypothesis and renewable energy-environmental kuznets curve," Renewable Energy, Elsevier, vol. 212(C), pages 621-631.
    4. Okumus, İlyas & Guzel, Arif Eser & Destek, Mehmet Akif, 2021. "Renewable, Non-renewable Energy Consumption and Economic Growth Nexus in G7: Fresh Evidence from CS-ARDL," MPRA Paper 114136, University Library of Munich, Germany.
    5. Oluwasogo S. Adediran & Ibiene Benibo & Doris Akinpelumi, 2021. "Biomass Energy Consumption and Economic Growth: An Assessment of the Relevance of Sustainable Development Goal 7 in Nigeria," International Journal of Energy Economics and Policy, Econjournals, vol. 11(6), pages 43-49.
    6. Wang, Zhaohua & Bui, Quocviet & Zhang, Bin, 2020. "The relationship between biomass energy consumption and human development: Empirical evidence from BRICS countries," Energy, Elsevier, vol. 194(C).
    7. Muhammad Kamran Khan & Muhammad Imran Khan & Muhammad Rehan, 2020. "The relationship between energy consumption, economic growth and carbon dioxide emissions in Pakistan," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-13, December.

    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. Dogan, Eyup & Inglesi-Lotz, Roula, 2017. "Analyzing the effects of real income and biomass energy consumption on carbon dioxide (CO2) emissions: Empirical evidence from the panel of biomass-consuming countries," Energy, Elsevier, vol. 138(C), pages 721-727.
    2. Wang, Zhaohua & Bui, Quocviet & Zhang, Bin, 2020. "The relationship between biomass energy consumption and human development: Empirical evidence from BRICS countries," Energy, Elsevier, vol. 194(C).
    3. Yasmeen, Rizwana & Zhaohui, Cui & Hassan Shah, Wasi Ul & Kamal, Muhammad Abdul & Khan, Anwar, 2022. "Exploring the role of biomass energy consumption, ecological footprint through FDI and technological innovation in B&R economies: A simultaneous equation approach," Energy, Elsevier, vol. 244(PA).
    4. Destek, Mehmet Akif & Aslan, Alper, 2020. "Disaggregated renewable energy consumption and environmental pollution nexus in G-7 countries," Renewable Energy, Elsevier, vol. 151(C), pages 1298-1306.
    5. Sencer Atasoy, Burak, 2017. "Testing the environmental Kuznets curve hypothesis across the U.S.: Evidence from panel mean group estimators," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 731-747.
    6. Aydin, Mucahit, 2019. "The effect of biomass energy consumption on economic growth in BRICS countries: A country-specific panel data analysis," Renewable Energy, Elsevier, vol. 138(C), pages 620-627.
    7. Zafar, Muhammad Wasif & Shahbaz, Muhammad & Hou, Fujun & Sinha, Avik, 2018. "¬¬¬¬¬¬From Nonrenewable to Renewable Energy and Its Impact on Economic Growth: Silver Line of Research & Development Expenditures in APEC Countries," MPRA Paper 90611, University Library of Munich, Germany, revised 10 Dec 2018.
    8. Bayar, Yilmaz & Sakar, Emre, 2021. "Impact of Domestic Public Borrowing on Financial Development: Evidence from EU Transition Economies," Asian Journal of Applied Economics, Kasetsart University, Center for Applied Economics Research, vol. 28(1).
    9. Kassouri, Yacouba & Altuntaş, Mehmet & Alola, Andrew Adewale, 2022. "The contributory capacity of natural capital to energy transition in the European Union," Renewable Energy, Elsevier, vol. 190(C), pages 617-629.
    10. Yilmaz Bayar & Marius Dan Gavriletea, 2019. "Energy efficiency, renewable energy, economic growth: evidence from emerging market economies," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(4), pages 2221-2234, July.
    11. Chang, Chiu-Lan & Fang, Ming, 2022. "Renewable energy-led growth hypothesis: New insights from BRICS and N-11 economies," Renewable Energy, Elsevier, vol. 188(C), pages 788-800.
    12. Katircioglu, Salih Turan & Sertoglu, Kamil & Candemir, Mehmet & Mercan, Mehmet, 2015. "Oil price movements and macroeconomic performance: Evidence from twenty-six OECD countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 257-270.
    13. Aliya Zhakanova Isiksal, 2021. "The financial sector expansion effect on renewable electricity production: case of the BRICS countries," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(6), pages 9029-9051, June.
    14. Bayar, Yilmaz, 2016. "Economic Freedom and Unemployment in Emerging Market Economies," Review of Applied Socio-Economic Research, Pro Global Science Association, vol. 11(1), pages 5-12, June.
    15. Yilmaz Bayar & Rita Remeikienė & Gamze Sart, 2024. "ICT Penetration and Human Development: Empirical Evidence from the EU Transition Economies," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(1), pages 2422-2438, March.
    16. Yilmaz BAYAR, & Naib ALAKBAROV, 2016. "CORRUPTION AND FOREIGN DIRECT INVESTMENT INFLOWS IN EMERGING MARKET ECONOMIES Usak University, Department of Economics, Usak, Turkey," EcoForum, "Stefan cel Mare" University of Suceava, Romania, Faculty of Economics and Public Administration - Economy, Business Administration and Tourism Department., vol. 5(2), pages 1-47, July.
    17. Sharma, Gagan Deep & Tiwari, Aviral Kumar & Erkut, Burak & Mundi, Hardeep Singh, 2021. "Exploring the nexus between non-renewable and renewable energy consumptions and economic development: Evidence from panel estimations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 146(C).
    18. Ghilous Azeddine & Ziat Adel, 2021. "Domestic Credit and the Balance of Payment Deficit: Evidence from a Heterogeneous Panel of Five Selected Mena Countries," Economics and Business, Sciendo, vol. 35(1), pages 133-148, January.
    19. Schneider, Nicolas & Strielkowski, Wadim, 2023. "Modelling the unit root properties of electricity data—A general note on time-domain applications," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 618(C).
    20. Huaping Sun & Love Enna & Augustine Monney & Dang Khoa Tran & Ehsan Rasoulinezhad & Farhad Taghizadeh-Hesary, 2020. "The Long-Run Effects of Trade Openness on Carbon Emissions in Sub-Saharan African Countries," Energies, MDPI, vol. 13(20), pages 1-18, October.

    More about this item

    Keywords

    Biomass; energy consumption; economic growth; dependency; heterogeneity; bootstrap causality;
    All these keywords.

    JEL classification:

    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

    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:pra:mprapa:106964. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    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.