IDEAS home Printed from https://ideas.repec.org/a/bcp/journl/v6y2022i3p631-642.html
   My bibliography  Save this article

Determinants of Environmental Pollution in Sub-Sahara Africa

Author

Listed:
  • Akinbode Damilola Olatunde

    (Department of Economics, Ekiti State University, Ado-Ekiti, Ekiti State, Nigeria)

  • Ogunleye, Edward Oladipo

    (Department of Economics, Ekiti State University, Ado-Ekiti, Ekiti State, Nigeria)

Abstract

This study examined the determinants of environmental pollution in Sub-Sahara Africa. Specifically the study analyze the effect of some economic variables (Energy Consumption, Gross Domestic Product, Population Size, Trade Openness, Domestic Investment, Foreign Direct Investment) on the level of environmental pollution measured in terms of carbon- dioxide emission, Nitrous-oxide emission and methane emission. This study focused on 35 Sub-Saharan African countries, covering a period of 18 years spanning from 2000 to 2017. Data were sourced from World banks’ development indicator database. This study made use of panel corrected standard error (PCSE) estimator. Result showed that energy consumption exerts significant positive effect on carbon-dioxide emission (22.40624, p

Suggested Citation

  • Akinbode Damilola Olatunde & Ogunleye, Edward Oladipo, 2022. "Determinants of Environmental Pollution in Sub-Sahara Africa," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 6(3), pages 631-642, March.
  • Handle: RePEc:bcp:journl:v:6:y:2022:i:3:p:631-642
    as

    Download full text from publisher

    File URL: https://www.rsisinternational.org/journals/ijriss/Digital-Library/volume-6-issue-3/631-642.pdf
    Download Restriction: no

    File URL: https://www.rsisinternational.org/virtual-library/papers/determinants-of-environmental-pollution-in-sub-sahara-africa/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kapetanios, G. & Pesaran, M. Hashem & Yamagata, T., 2011. "Panels with non-stationary multifactor error structures," Journal of Econometrics, Elsevier, vol. 160(2), pages 326-348, February.
    2. Markus Eberhardt & Christian Helmers & Hubert Strauss, 2013. "Do Spillovers Matter When Estimating Private Returns to R&D?," The Review of Economics and Statistics, MIT Press, vol. 95(2), pages 436-448, May.
    3. Lingyun He & Zhangqi Zhong & Fang Yin & Deqing Wang, 2018. "Impact of Energy Consumption on Air Quality in Jiangsu Province of China," Sustainability, MDPI, vol. 10(1), pages 1-22, January.
    4. Badi H. Baltagi & Peter Egger & Michael Pfaffermayr, 2013. "A Generalized Spatial Panel Data Model with Random Effects," Econometric Reviews, Taylor & Francis Journals, vol. 32(5-6), pages 650-685, August.
    5. M. Hashem Pesaran, 2006. "Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure," Econometrica, Econometric Society, vol. 74(4), pages 967-1012, July.
    6. Markus Eberhardt & Francis Teal, 2011. "Econometrics For Grumblers: A New Look At The Literature On Cross‐Country Growth Empirics," Journal of Economic Surveys, Wiley Blackwell, vol. 25(1), pages 109-155, February.
    7. Bivand, Roger & Piras, Gianfranco, 2015. "Comparing Implementations of Estimation Methods for Spatial Econometrics," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 63(i18).
    8. Luisa Corrado & Bernard Fingleton, 2012. "Where Is The Economics In Spatial Econometrics?," Journal of Regional Science, Wiley Blackwell, vol. 52(2), pages 210-239, May.
    9. Cao, Xia, 2003. "Climate change and energy development: implications for developing countries," Resources Policy, Elsevier, vol. 29(1-2), pages 61-67.
    10. Pesaran, M. Hashem & Smith, Ron, 1995. "Estimating long-run relationships from dynamic heterogeneous panels," Journal of Econometrics, Elsevier, vol. 68(1), pages 79-113, July.
    11. Coakley, Jerry & Fuertes, Ana-Maria & Smith, Ron, 2006. "Unobserved heterogeneity in panel time series models," Computational Statistics & Data Analysis, Elsevier, vol. 50(9), pages 2361-2380, May.
    12. Moundigbaye, Mantobaye & Rea, William S. & Reed, W. Robert, 2018. "Which panel data estimator should I use? A corrigendum and extension," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 12, pages 1-31.
    13. Cuma Bozkurt & Yusuf Akan, 2014. "Economic Growth, CO2 Emissions and Energy Consumption: The Turkish Case," International Journal of Energy Economics and Policy, Econjournals, vol. 4(3), pages 484-494.
    14. Ying Ma & Jing Li & Guansheng Yu & Dongyang Yuan, 2014. "Trade Openness, Economic Growth and the Vicissitude of Labor-intensive Industries: The Case of China," International Journal of Management and Economics, Warsaw School of Economics, Collegium of World Economy, vol. 43(1), pages 7-31, September.
    15. Yunpeng Luo & Huai Chen & Qiu'an Zhu & Changhui Peng & Gang Yang & Yanzheng Yang & Yao Zhang, 2014. "Relationship between Air Pollutants and Economic Development of the Provincial Capital Cities in China during the Past Decade," PLOS ONE, Public Library of Science, vol. 9(8), pages 1-14, August.
    16. Jushan Bai, 2003. "Inferential Theory for Factor Models of Large Dimensions," Econometrica, Econometric Society, vol. 71(1), pages 135-171, January.
    17. Beck, Nathaniel & Katz, Jonathan N., 1995. "What To Do (and Not to Do) with Time-Series Cross-Section Data," American Political Science Review, Cambridge University Press, vol. 89(3), pages 634-647, 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. Moundigbaye, Mantobaye & Rea, William S. & Reed, W. Robert, 2018. "Which panel data estimator should I use? A corrigendum and extension," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 12, pages 1-31.
    2. Mantobaye Moundigbaye & William Rea & W. Robert Reed, 2016. "More Evidence On “Which Panel Data Estimator Should I Use?”," Working Papers in Economics 16/18, University of Canterbury, Department of Economics and Finance.
    3. Markus Eberhardt & Francis Teal, 2010. "Aggregation versus Heterogeneity in Cross-Country Growth Empirics," CSAE Working Paper Series 2010-32, Centre for the Study of African Economies, University of Oxford.
    4. Sadorsky, Perry, 2014. "The effect of urbanization on CO2 emissions in emerging economies," Energy Economics, Elsevier, vol. 41(C), pages 147-153.
    5. Cern Ertur & Antonio Musolesi, 2012. "Spatial autoregressive spillovers vs unobserved common factors models. A panel data analysis of international technology diffusion," INRA UMR CESAER Working Papers 2012/9, INRA UMR CESAER, Centre d'’Economie et Sociologie appliquées à l'’Agriculture et aux Espaces Ruraux.
    6. Cem Ertur & Antonio Musolesi, 2017. "Weak and Strong Cross‐Sectional Dependence: A Panel Data Analysis of International Technology Diffusion," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(3), pages 477-503, April.
    7. Nin Pratt, Alejandro & Falconi, César & Ludeña, Carlos E. & Martel, Pedro, 2015. "Productivity and the Performance of Agriculture in Latin America and the Caribbean: From the Lost Decade to the Commodity Boom," IDB Publications (Working Papers) 7306, Inter-American Development Bank.
    8. Nikos Benos & Nikolaos Mylonidis & Stefania Zotou, 2017. "Estimating production functions for the US states: the role of public and human capital," Empirical Economics, Springer, vol. 52(2), pages 691-721, March.
    9. Pesaran, M. Hashem & Tosetti, Elisa, 2011. "Large panels with common factors and spatial correlation," Journal of Econometrics, Elsevier, vol. 161(2), pages 182-202, April.
    10. Erich Gundlach & Martin Paldam, 2016. "Socioeconomic transitions as common dynamic processes," Economics Working Papers 2016-06, Department of Economics and Business Economics, Aarhus University.
    11. Daniel Goya, 2014. "The Multiple Impacts of the Exchange Rate on Export Diversification," Cambridge Working Papers in Economics 1436, Faculty of Economics, University of Cambridge.
    12. Markus Eberhardt & Francis Teal, 2013. "No Mangoes in the Tundra: Spatial Heterogeneity in Agricultural Productivity Analysis," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 75(6), pages 914-939, December.
    13. Eberhardt, Markus & Teal, Francis, 2008. "Modeling technology and technological change in manufacturing: how do countries differ?," MPRA Paper 10690, University Library of Munich, Germany.
    14. Daniel M. Bernhofen & Markus Eberhardt & Jianan Li & Stephen Morgan, 2015. "Assessing Market (Dis)Integration in Early Modern China and Europe," CESifo Working Paper Series 5580, CESifo.
    15. Aninday Banerjee & Markus Eberhardt & J James Reade, 2010. "Panel Estimation for Worriers," Discussion Papers 10-33, Department of Economics, University of Birmingham.
    16. Markus Eberhardt & Francis Teal, 2020. "The Magnitude of the Task Ahead: Macro Implications of Heterogeneous Technology," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 66(2), pages 334-360, June.
    17. Peñasco, Cristina & del Río, Pablo & Romero-Jordán, Desiderio, 2017. "Gas and electricity demand in Spanish manufacturing industries: An analysis using homogeneous and heterogeneous estimators," Utilities Policy, Elsevier, vol. 45(C), pages 45-60.
    18. Castagnetti, Carolina & Rossi, Eduardo & Trapani, Lorenzo, 2019. "A two-stage estimator for heterogeneous panel models with common factors," Econometrics and Statistics, Elsevier, vol. 11(C), pages 63-82.
    19. Markus Eberhardt, 2012. "Estimating panel time-series models with heterogeneous slopes," Stata Journal, StataCorp LP, vol. 12(1), pages 61-71, March.
    20. Nikos Benos & Stelios Karagiannis, 2018. "Inequality And Growth In The United States: Why Physical And Human Capital Matter," Economic Inquiry, Western Economic Association International, vol. 56(1), pages 572-619, January.

    More about this item

    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:bcp:journl:v:6:y:2022:i:3:p:631-642. 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: Dr. Pawan Verma (email available below). General contact details of provider: https://www.rsisinternational.org/journals/ijriss/ .

    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.