IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2023i1p264-d1308662.html
   My bibliography  Save this article

Grain Production in Turkey and Its Environmental Drivers Using ARDL in the Age of Climate Change

Author

Listed:
  • Ismail Bulent Gurbuz

    (Department of Agricultural Economics, Faculty of Agriculture, Bursa Uludag University, Gorukle Campus, Nilufer, Bursa 16059, Turkey)

  • Irfan Kadioglu

    (Department of Agricultural Economics, Faculty of Agriculture, Bursa Uludag University, Gorukle Campus, Nilufer, Bursa 16059, Turkey)

Abstract

This study aims to evaluate the long-run and causality relationships between the annual grain production (kg per hectare) in Turkey, fertilizer used in agriculture, the number of tractors, agricultural greenhouse gas emissions, and grain production area from 1988 to 2018. The study’s data for the years 1988–2018 were taken from the World Bank and Turkish Statistical Institute (Turkstat) databases. The autoregressive distributed lag bounds (ARDL) test was applied to estimate the cointegration between the variables. The cointegration test results confirmed a long-run relationship between the variables. The short-run estimation revealed that the error correction coefficient was negative and statistically significant. The result obtained for the error correction term estimated that the deviations from the short-run equilibrium would be corrected, and the system would converge to the long-run equilibrium within 1.05 years. Further, the long-run estimation showed that all variables included in the model had a statistically significant effect on the dependent variable. While this relationship was negative for grain production amount and carbon emission, it was positive for fertilizer use and the number of tractors. The grain areas estimated as the dependent variable in the ARDL model were in a feedback relationship with the current production and number of tractors variables, while the fertilizer and carbon emission variables were in a unidirectional causality relationship towards the grain production area. There is a negative relationship between grain production (kg per hectare) and grain production areas (hectares). A 1% increase in grain production leads to a decrease of approximately 0.30% in grain production areas. Agricultural greenhouse gas emissions, another variable that stands out with its negative impact in ARDL long-run estimation results, indicate that product groups produced as an alternative to grain have a higher emission-generating power. The other long-run estimation results reveal that the tractor variable positively affects grain production areas.

Suggested Citation

  • Ismail Bulent Gurbuz & Irfan Kadioglu, 2023. "Grain Production in Turkey and Its Environmental Drivers Using ARDL in the Age of Climate Change," Sustainability, MDPI, vol. 16(1), pages 1-16, December.
  • Handle: RePEc:gam:jsusta:v:16:y:2023:i:1:p:264-:d:1308662
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/1/264/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/16/1/264/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
    3. Paresh Kumar Narayan, 2005. "The saving and investment nexus for China: evidence from cointegration tests," Applied Economics, Taylor & Francis Journals, vol. 37(17), pages 1979-1990.
    4. M. Hashem Pesaran & Yongcheol Shin & Richard J. Smith, 2001. "Bounds testing approaches to the analysis of level relationships," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 289-326.
    5. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    6. Toda, Hiro Y. & Yamamoto, Taku, 1995. "Statistical inference in vector autoregressions with possibly integrated processes," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 225-250.
    7. E. Gutiérrez-Moya & B. Adenso-Díaz & S. Lozano, 2021. "Analysis and vulnerability of the international wheat trade network," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 13(1), pages 113-128, February.
    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. Kaminski, Jermain & Hopp, Christian & Tykvová, Tereza, 2019. "New technology assessment in entrepreneurial financing – Does crowdfunding predict venture capital investments?," Technological Forecasting and Social Change, Elsevier, vol. 139(C), pages 287-302.
    2. Hande Aksöz Yılmaz, 2020. "The Impact of Foreign Trade on Immigration from Turkey to Germany: ARDL Bounds Test Approach," Journal of Economy Culture and Society, Istanbul University, Faculty of Economics, vol. 62(62), pages 123-143, December.
    3. Kouton, Jeffrey, 2018. "Education expenditure and economic growth: Some empirical evidence from Côte d’Ivoire," MPRA Paper 88350, University Library of Munich, Germany.
    4. Fakhri J. Hasanov & Muhammad Javid & Frederick L. Joutz, 2022. "Saudi Non-Oil Exports before and after COVID-19: Historical Impacts of Determinants and Scenario Analysis," Sustainability, MDPI, vol. 14(4), pages 1-38, February.
    5. Shahzad, Syed Jawad Hussain & Kumar, Ronald Ravinesh & Zakaria, Muhammad & Hurr, Maryam, 2017. "Carbon emission, energy consumption, trade openness and financial development in Pakistan: A revisit," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 185-192.
    6. Jude Okechukwu Chukwu, 2013. "Budget Deficits, Money Growth and Price Level in Nigeria," African Development Review, African Development Bank, vol. 25(4), pages 468-477, December.
    7. Halil Alt ntas & Melike Kum, 2013. "Multivariate Granger Causality between Electricity Generation, Exports, Prices and Economic Growth in Turkey," International Journal of Energy Economics and Policy, Econjournals, vol. 3(Special), pages 41-51.
    8. Aamir Jamal & G. M. Bhat, 2023. "Disentangling the Nexus Between Exchange Rate Volatility, Exports, and FDI: Empirical Evidence from the Indian Economy," Global Journal of Emerging Market Economies, Emerging Markets Forum, vol. 15(3), pages 449-472, September.
    9. Constantinos Alexiou & Persefoni Tsaliki & Lefteris Tsoulfidis, 2008. "The Greek Hyperinflation Revisited," Ekonomia, Cyprus Economic Society and University of Cyprus, vol. 11(1), pages 19-34, Summer.
    10. Olena STRYZHAK & Ramazan SAYAR & Yılmaz Onur ARI, 2022. "Geopolitical risks, GDP and tourism: an ARDL-ECM cointegration study on Ukraine," CES Working Papers, Centre for European Studies, Alexandru Ioan Cuza University, vol. 14(1), pages 85-113, May.
    11. Azhar Khan, Muhammad & Zahir Khan, Muhammad & Zaman, Khalid & Naz, Lubna, 2014. "Global estimates of energy consumption and greenhouse gas emissions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 29(C), pages 336-344.
    12. Muhammad Shahbaz & Ramzi Benkraiem & Anthony Miloudi & Aviral Kumar Tiwari, 2019. "Tourism-induced financial development in Malaysia: New evidence from the tourism development index," Tourism Economics, , vol. 25(5), pages 757-778, August.
    13. Shahiduzzaman, Md. & Alam, Khorshed, 2014. "The long-run impact of Information and Communication Technology on economic output: The case of Australia," Telecommunications Policy, Elsevier, vol. 38(7), pages 623-633.
    14. Khatai Aliyev & Orkhan Nadirov, 2016. "How Fiscal Policy Affects Non-Oil Economic Performance in Azerbaijan?," Academic Journal of Economic Studies, Faculty of Finance, Banking and Accountancy Bucharest,"Dimitrie Cantemir" Christian University Bucharest, vol. 2(3), pages 11-29, September.
    15. Phouphet Kyophilavong & Gazi Salah Uddin & Muhammad Shahbaz, 2016. "The Nexus between Financial Development and Economic Growth in Lao PDR," Global Business Review, International Management Institute, vol. 17(2), pages 303-317, April.
    16. Md Shahiduzzaman & Allan Layton & Khorshed Alam, 2015. "On the contribution of information and communication technology to productivity growth in Australia," Economic Change and Restructuring, Springer, vol. 48(3), pages 281-304, November.
    17. Hande Aksöz Yılmaz, 2020. "The Impact of Foreign Trade on Immigration from Turkey to Germany: ARDL Bounds Test Approach," Journal of Economy Culture and Society, Istanbul University, Faculty of Economics, vol. 62(0), pages 123-143, December.
    18. Halicioglu, Ferda, 2009. "An econometric study of CO2 emissions, energy consumption, income and foreign trade in Turkey," Energy Policy, Elsevier, vol. 37(3), pages 1156-1164, March.
    19. Mehmet Balcilar & Gizem Uzuner & Chinazaekpere Nwani & Festus Victor Bekun, 2023. "Boosting Energy Efficiency in Turkey: The Role of Public–Private Partnership Investment," Sustainability, MDPI, vol. 15(3), pages 1-16, January.
    20. Bibhuti Sarker & Farid Khan, 2020. "Nexus between foreign direct investment and economic growth in Bangladesh: an augmented autoregressive distributed lag bounds testing approach," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-18, December.

    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:gam:jsusta:v:16:y:2023:i:1:p:264-:d:1308662. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.