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Economic Performance of Forest Plantations in Asian Countries

Author

Listed:
  • Lubna Ali

    (Karakorum International University)

  • Rizwan Akhtar

    (Karakorum International University)

  • Jamal Hussain

    (Karakorum International University)

  • Ghazala Khan

    (Karakorum International University
    Universiti Sains Malaysia)

  • Sameena Mumtaz

    (Karakoram International University)

  • Naila Akhtar

    (Karakorum International University)

  • Rashid Ali

    (University of Sindh)

  • Chenlu Tao

    (North China Electric Power University)

Abstract

In Asian countries, forest plantations increased dramatically during the 1990s. Most earlier studies mainly focused on how forest plantations influenced certain aspects of rural livelihoods. The macroeconomic effects of forest plantations on Asia’s GDP per capita are the main focus of this study. The impact of forest plantation on GDP per capita was estimated using data from 1990 to 2019 using the augmented mean group (AMG) and common correlated effects mean group (CCEMG) estimators. The study’s findings demonstrate that a variety of factors, including total exports (TEXP), agricultural growth (AGR), foreign direct investment (FDI), and forest plantations (FP), all have a positive and significant impact on the GDP per capita of Asian countries. The causality test results also show a bidirectional association between forest plantations and FDI and a unidirectional relationship between forest plantations and GDP per capita. According to this study, Asian countries can raise their GDP per capita by promoting forest plantations, which have considerable environmental benefits for the region’s economies’ long-term development.

Suggested Citation

  • Lubna Ali & Rizwan Akhtar & Jamal Hussain & Ghazala Khan & Sameena Mumtaz & Naila Akhtar & Rashid Ali & Chenlu Tao, 2024. "Economic Performance of Forest Plantations in Asian Countries," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(1), pages 4997-5017, March.
    • Handle: RePEc:spr:jknowl:v:15:y:2024:i:1:d:10.1007_s13132-023-01240-w
    DOI: 10.1007/s13132-023-01240-w
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    as
    1. 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.
    2. 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.
    3. Heidarian, Jamshid & Green, Rodney D., 1989. "The impact of oil-export dependency on a developing country : The case of Algeria," Energy Economics, Elsevier, vol. 11(4), pages 247-261, October.
    4. Richard Tiffin & Xavier Irz, 2006. "Is agriculture the engine of growth?," Agricultural Economics, International Association of Agricultural Economists, vol. 35(1), pages 79-89, July.
    5. Bordo, Michael D. & Cavallo, Alberto F. & Meissner, Christopher M., 2010. "Sudden stops: Determinants and output effects in the first era of globalization, 1880-1913," Journal of Development Economics, Elsevier, vol. 91(2), pages 227-241, March.
    6. Hashem Pesaran, M. & Yamagata, Takashi, 2008. "Testing slope homogeneity in large panels," Journal of Econometrics, Elsevier, vol. 142(1), pages 50-93, January.
    7. M. Hashem Pesaran, 2007. "A simple panel unit root test in the presence of cross-section dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 265-312.
    8. 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.
    9. Dumitrescu, Elena-Ivona & Hurlin, Christophe, 2012. "Testing for Granger non-causality in heterogeneous panels," Economic Modelling, Elsevier, vol. 29(4), pages 1450-1460.
    10. Vasilis Sarafidis & Tom Wansbeek, 2012. "Cross-Sectional Dependence in Panel Data Analysis," Econometric Reviews, Taylor & Francis Journals, vol. 31(5), pages 483-531, September.
    11. Holtz-Eakin, Douglas & Newey, Whitney & Rosen, Harvey S, 1988. "Estimating Vector Autoregressions with Panel Data," Econometrica, Econometric Society, vol. 56(6), pages 1371-1395, November.
    12. Bull, Gary Q. & Bazett, Michael & Schwab, Olaf & Nilsson, Sten & White, Andy & Maginnis, Stewart, 2006. "Industrial forest plantation subsidies: Impacts and implications," Forest Policy and Economics, Elsevier, vol. 9(1), pages 13-31, November.
    13. Ahmed, Elsadig Musa, 2012. "Are the FDI inflow spillover effects on Malaysia's economic growth input driven?," Economic Modelling, Elsevier, vol. 29(4), pages 1498-1504.
    14. Hye, Qazi Muhammad Adnan & Wizarat, Shahida & Lau, Wee-Yeap, 2013. "Trade-led growth hypothesis: An empirical analysis of South Asian countries," Economic Modelling, Elsevier, vol. 35(C), pages 654-660.
    15. Fentahun Addis & Surafel Melak & Berihun Tefera & Habtemariam Kassa, 2017. "Impacts of Smallholder Tree Plantation in Amhara Region of Ethiopia: The Case of Lay Gayint and Fagta Locuma Districts," Ethiopian Journal of Economics, Ethiopian Economics Association, vol. 25(1), March.
    16. Love, Jim & Chandra, Ramesh, 2005. "Testing export-led growth in Bangladesh in a multivarate VAR framework," Journal of Asian Economics, Elsevier, vol. 15(6), pages 1155-1168, January.
    17. Eberhardt, Markus & Bond, Stephen, 2009. "Cross-section dependence in nonstationary panel models: a novel estimator," MPRA Paper 17692, University Library of Munich, Germany.
    18. Joakim Westerlund, 2005. "New Simple Tests for Panel Cointegration," Econometric Reviews, Taylor & Francis Journals, vol. 24(3), pages 297-316.
    19. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    20. Yaya Keho, 2017. "The impact of trade openness on economic growth: The case of Cote d’Ivoire," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1332820-133, January.
    21. Rizwan Akhtar & Hongman Liu & Amjad Ali, 2017. "Influencing Factors of Poverty in Pakistan: Time Series Analysis," International Journal of Economics and Financial Issues, Econjournals, vol. 7(2), pages 215-222.
    22. Tang, Chor Foon & Abosedra, Salah, 2019. "Logistics performance, exports, and growth: Evidence from Asian economies," Research in Transportation Economics, Elsevier, vol. 78(C).
    23. 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.
    24. Illukpitiya, Prabodh & Yanagida, John F., 2010. "Farming vs forests: Trade-off between agriculture and the extraction of non-timber forest products," Ecological Economics, Elsevier, vol. 69(10), pages 1952-1963, August.
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