IDEAS home Printed from https://ideas.repec.org/a/spt/stecon/v12y2023i1f12_1_4.html
   My bibliography  Save this article

Fully Modified Least Squares Modeling Of Wheat Crop Production

Author

Listed:
  • Rajarathinam
  • A.
  • Suba
  • S.S.

Abstract

This paper investigates the dynamic relationships between area and production of the wheat crop during 1989-90 to 2020-2021 in different districts of Gujarat state, India. Pedroni cointegration test reveals the long-run equilibrium relationships between area and production of wheat, and the pairwise Granger causality test ensures cointegration relationships. Furthermore, the estimated long-run Panel Fully Modified Least Squares model was highly significant, which explains the 86 % of variations in wheat production. Furthermore, the long-term coefficient is positive and highly significant, indicating the existence of positive long-run equilibrium relationships between the study variables. JEL classification numbers: E18, HO, I1, J64, J88.

Suggested Citation

  • Rajarathinam & A. & Suba & S.S., 2023. "Fully Modified Least Squares Modeling Of Wheat Crop Production," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 12(1), pages 1-4.
    • Handle: RePEc:spt:stecon:v:12:y:2023:i:1:f:12_1_4
    as

    Download full text from publisher

    File URL: http://www.scienpress.com/Upload/JSEM%2fVol%2012_1_4.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Baltagi, Badi H. & Feng, Qu & Kao, Chihwa, 2012. "A Lagrange Multiplier test for cross-sectional dependence in a fixed effects panel data model," Journal of Econometrics, Elsevier, vol. 170(1), pages 164-177.
    2. Peter C. B. Phillips & Bruce E. Hansen, 1990. "Statistical Inference in Instrumental Variables Regression with I(1) Processes," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 57(1), pages 99-125.
    3. Pedroni, Peter, 2004. "Panel Cointegration: Asymptotic And Finite Sample Properties Of Pooled Time Series Tests With An Application To The Ppp Hypothesis," Econometric Theory, Cambridge University Press, vol. 20(3), pages 597-625, June.
    4. Kaddour Hadri, 2000. "Testing for stationarity in heterogeneous panel data," Econometrics Journal, Royal Economic Society, vol. 3(2), pages 148-161.
    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. Breusch, T S & Pagan, A R, 1979. "A Simple Test for Heteroscedasticity and Random Coefficient Variation," Econometrica, Econometric Society, vol. 47(5), pages 1287-1294, September.
    7. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    8. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
    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. Shobande, Olatunji A. & Asongu, Simplice A., 2022. "The Critical Role of Education and ICT in Promoting Environmental Sustainability in Eastern and Southern Africa: A Panel VAR Approach," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    2. Angeliki N. Menegaki, 2019. "The ARDL Method in the Energy-Growth Nexus Field; Best Implementation Strategies," Economies, MDPI, vol. 7(4), pages 1-16, October.
    3. Muntasir Murshed & Seemran Rashid, 2020. "An Empirical Investigation of Real Exchange Rate Responses to Foreign Currency Inflows: Revisiting the Dutch Disease Phenomenon in South Asia," The Economics and Finance Letters, Conscientia Beam, vol. 7(1), pages 23-46.
    4. Damien Kunjal, 2022. "Evaluating the Liquidity Response of South African Exchange-Traded Funds to Country Risk Effects," Economies, MDPI, vol. 10(6), pages 1-20, June.
    5. Ghulam MOHEY-UD-DIN* & Muhammad Wasif SIDDIQI**, 2017. "GDP FLUCTUATIONS AND LONG-RUN ECONOMIC GROWTH: A Study of Selected South Asian Countries," Pakistan Journal of Applied Economics, Applied Economics Research Centre, vol. 27(1), pages 41-66.
    6. Anil Shrestha & Makoto Kakinaka, 2022. "Remittance Inflows and Energy Transition of the Residential Sector in Developing Countries," Sustainability, MDPI, vol. 14(17), pages 1-19, August.
    7. Salah Eddine SARI HASSOUN & Abdelkader SAHED & Khayereddine Salim ADDA & Asma Hadjira SEBBANE, 2020. "Not a long ago, the agriculture sector was the main pillar of any economy in the world. It not only provides food production, but it participates to the expansion of the economic growth as well. In th," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(2(623), S), pages 301-324, Summer.
    8. Samir, Saidi & Shahbaz, Muhammad & Akhtar, Pervaiz, 2018. "The Long-Run Relationship between Transport Energy Consumption and Transport Infrastructure on Economic Growth in MENA Countries," MPRA Paper 85037, University Library of Munich, Germany, revised 06 Mar 2018.
    9. 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).
    10. 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.
    11. Haoran Zhao & Sen Guo & Huiru Zhao, 2018. "Impacts of GDP, Fossil Fuel Energy Consumption, Energy Consumption Intensity, and Economic Structure on SO 2 Emissions: A Multi-Variate Panel Data Model Analysis on Selected Chinese Provinces," Sustainability, MDPI, vol. 10(3), pages 1-20, March.
    12. Mohey-ud-din, Ghulam & Siddiqi, Muhammad Wasif, 2013. "GDP Fluctuations and Private Investment: A Macro Panel Analysis of Selected South Asian Countries," MPRA Paper 60231, University Library of Munich, Germany, revised 15 Jun 2014.
    13. Radovan Kovačević, 2019. "The Export Performance Of The Euro Area: A Panel Quantile Regression Approach," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 64(222), pages 7-62, July – Se.
    14. Dina Azhgaliyeva, 2013. "What Makes Oil Revenue Funds Effective," International Conference on Energy, Regional Integration and Socio-economic Development 6023, EcoMod.
    15. Škare, Marinko & Porada-Rochoń, Małgorzata, 2023. "Are we making progress on decarbonization? A panel heterogeneous study of the long-run relationship in selected economies," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    16. Gozgor, Giray & Mahalik, Mantu Kumar & Demir, Ender & Padhan, Hemachandra, 2020. "The impact of economic globalization on renewable energy in the OECD countries," Energy Policy, Elsevier, vol. 139(C).
    17. Rajarathinam & A. & Anju & J.B, 2023. "Modeling COVID-19 Infected Cases and Deaths Based on Generalized Method of Moments," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 12(1), pages 1-1.
    18. Huiru Zhao & Haoran Zhao & Xiaoyu Han & Zhonghua He & Sen Guo, 2016. "Economic Growth, Electricity Consumption, Labor Force and Capital Input: A More Comprehensive Analysis on North China Using Panel Data," Energies, MDPI, vol. 9(11), pages 1, October.
    19. George E. Halkos & Apostolos S. Tsirivis, 2023. "Sustainable Development of the European Electricity Sector: Investigating the Impact of Electricity Price, Market Liberalization and Energy Taxation on RES Deployment," Energies, MDPI, vol. 16(14), pages 1-21, July.
    20. Abdul Sattar & Temesgen Hordofa Tolassa & Muhammad Noshab Hussain & Muhammad Ilyas, 2022. "Environmental Effects of China’s Overseas Direct Investment in South Asia," SAGE Open, , vol. 12(1), pages 21582440221, February.

    More about this item

    Keywords

    Cross-sectional dependence test; Panel cointegration test; Fully Modified Least Squares; Granger causality test; Levin-Lin-Chu unit root test.;
    All these keywords.

    JEL classification:

    • I1 - Health, Education, and Welfare - - Health
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search
    • J88 - Labor and Demographic Economics - - Labor Standards - - - Public Policy

    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:spt:stecon:v:12:y:2023:i:1:f:12_1_4. 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: Eleftherios Spyromitros-Xioufis (email available below). General contact details of provider: http://www.scienpress.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.