IDEAS home Printed from https://ideas.repec.org/p/ags/aaae23/365910.html
   My bibliography  Save this paper

Long Run Effects of Livestock Production, Fossil Fuel Consumption and Trade Openness on CO2 Emissions in South Africa

Author

Listed:
  • Onoja, Anthony O.

Abstract

The study explored the long-run impact of livestock production alongside some hypothesized determinants of CO2 emission, especially in South African economy including fossil fuel consumption, population growth and trade openness. Institutional data from 1971-2014 were used. After testing and correcting the series for unit roots presence using ADF, cointegration test was performed using Johansen Cointegration approach with the selection of the appropriate lag order done based on AIC. We found that natural log of livestock production natural log of fossil fuel consumption and natural log of GDP exerted long run significant effects on the level of CO2 emissions in South Africa during the period. On the short run. only the 3rd lag of the natural log of population exerted significant relationship on the air quality (CO2 emissions) in South Africa. It was therefore recommended that key stakeholders in environmental management and South African government should put forward policies that will reduce the consumption of fossil fuels through more investment in clean energy sources; funding research in livestock farming to improve the systems of livestock production that will contribute less to CO2 emissions; and on the short run, the country's leadership should pursue a policy for sustainable control of human population through birth control policy.

Suggested Citation

  • Onoja, Anthony O., 2023. "Long Run Effects of Livestock Production, Fossil Fuel Consumption and Trade Openness on CO2 Emissions in South Africa," 2023 Seventh AAAE/60th AEASA Conference, September 18-21, 2023, Durban, South Africa 365910, African Association of Agricultural Economists (AAAE).
  • Handle: RePEc:ags:aaae23:365910
    DOI: 10.22004/ag.econ.365910
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/365910/files/247.%20Livestock%20in%20South%20Africa.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.365910?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
    ---><---

    References listed on IDEAS

    as
    1. Henna Ahsan & Zainab Iftikhar & M. Ali Kemal, 2011. "The Determinants of Food Prices: A Case Study of Pakistan," PIDE-Working Papers 2011:76, Pakistan Institute of Development Economics.
    2. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501.
    3. Grossman, G.M & Krueger, A.B., 1991. "Environmental Impacts of a North American Free Trade Agreement," Papers 158, Princeton, Woodrow Wilson School - Public and International Affairs.
    4. Antle, John M & Heidebrink, Gregg, 1995. "Environment and Development: Theory and International Evidence," Economic Development and Cultural Change, University of Chicago Press, vol. 43(3), pages 603-625, April.
    5. Horvath, Michael T.K. & Watson, Mark W., 1995. "Testing for Cointegration When Some of the Cointegrating Vectors are Prespecified," Econometric Theory, Cambridge University Press, vol. 11(5), pages 984-1014, October.
    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. Fabian Knorre & Martin Wagner & Maximilian Grupe, 2021. "Monitoring Cointegrating Polynomial Regressions: Theory and Application to the Environmental Kuznets Curves for Carbon and Sulfur Dioxide Emissions," Econometrics, MDPI, vol. 9(1), pages 1-35, March.
    2. Neil R. Ericsson & James G. MacKinnon, 2002. "Distributions of error correction tests for cointegration," Econometrics Journal, Royal Economic Society, vol. 5(2), pages 285-318, June.
    3. Boswijk, H. Peter & Jansson, Michael & Nielsen, Morten Ørregaard, 2015. "Improved likelihood ratio tests for cointegration rank in the VAR model," Journal of Econometrics, Elsevier, vol. 184(1), pages 97-110.
    4. repec:diw:diwwpp:dp1139 is not listed on IDEAS
    5. Baek, Jungho & Cho, Yongsung & Koo, Won W., 2009. "The environmental consequences of globalization: A country-specific time-series analysis," Ecological Economics, Elsevier, vol. 68(8-9), pages 2255-2264, June.
    6. Indarto, Jarot & Mutaqin, Dadang J., 2016. "An overview of theoretical and empirical studies on deforestation," MPRA Paper 70178, University Library of Munich, Germany.
    7. Siklos, Pierre L. & Granger, Clive W.J., 1997. "Regime-Sensitive Cointegration With An Application To Interest-Rate Parity," Macroeconomic Dynamics, Cambridge University Press, vol. 1(3), pages 640-657, September.
    8. Stern , David I., 1998. "Progress on the environmental Kuznets curve?," Environment and Development Economics, Cambridge University Press, vol. 3(2), pages 173-196, May.
    9. Cushman, David O., 2008. "Long-run PPP in a system context: No favorable evidence after all for the U.S., Germany, and Japan," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 18(5), pages 413-424, December.
    10. Fábio Henrique Granja e Barros & Bernardo Mueller & Jorge Madeira Nogueira, 2007. "Crescimento Econômico E Meio Ambiente: O Que Está Faltando Para Entender O Elo Entre Eles?," Anais do XXXV Encontro Nacional de Economia [Proceedings of the 35th Brazilian Economics Meeting] 100, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    11. Wagner, Martin, 2008. "The carbon Kuznets curve: A cloudy picture emitted by bad econometrics?," Resource and Energy Economics, Elsevier, vol. 30(3), pages 388-408, August.
    12. Yi-Bin Chiu, 2012. "Deforestation and the Environmental Kuznets Curve in Developing Countries: A Panel Smooth Transition Regression Approach," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 60(2), pages 177-194, June.
    13. Zhongwu Zhang & Guokui Wang & Xiaojia Guo, 2022. "Long-Term and Short-Term Effects of Carbon Emissions on Regional Healthy Development in Shanxi Province, China," Sustainability, MDPI, vol. 14(9), pages 1-14, April.
    14. Tillmann, Peter, 2003. "Cointegration and Regime-Switching Risk Premia in the U.S. Term Structure of Interest Rates," Bonn Econ Discussion Papers 27/2003, University of Bonn, Bonn Graduate School of Economics (BGSE).
    15. Itkonen, Juha V.A., 2012. "Problems estimating the carbon Kuznets curve," Energy, Elsevier, vol. 39(1), pages 274-280.
    16. Eric Ghysels & J. Isaac Miller, 2015. "Testing for Cointegration with Temporally Aggregated and Mixed-Frequency Time Series," Journal of Time Series Analysis, Wiley Blackwell, vol. 36(6), pages 797-816, November.
    17. Saikkonen, Pentti & Lütkepohl, Helmut, 1999. "Local Power Of Likelihood Ratio Tests For The Cointegrating Rank Of A Var Process," Econometric Theory, Cambridge University Press, vol. 15(1), pages 50-78, February.
    18. Nguyen Van, Phu & Azomahou, Theophile, 2007. "Nonlinearities and heterogeneity in environmental quality: An empirical analysis of deforestation," Journal of Development Economics, Elsevier, vol. 84(1), pages 291-309, September.
    19. Mouna Ben Abdeljelil & Christophe Rault & Fateh Belaïd, 2023. "Economic growth and pollutant emissions: new panel evidence from the union for the Mediterranean countries," Economic Change and Restructuring, Springer, vol. 56(3), pages 1537-1566, June.
    20. Domenico Giannone & Michele Lenza & Giorgio E. Primiceri, 2019. "Priors for the Long Run," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 114(526), pages 565-580, April.
    21. Alessandro Girardi, 2008. "The Informational Content of Trades on the EuroMTS Platform," ISAE Working Papers 97, ISTAT - Italian National Institute of Statistics - (Rome, ITALY).

    More about this item

    Keywords

    ;

    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:ags:aaae23:365910. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aaaeaea.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.