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On the economic factors of deforestation: What can we learn from quantile analysis?

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  • Damette, Olivier
  • Delacote, Philippe

Abstract

The deforestation factors at a global level have been widely studied in the empirical economic literature. However, the high heterogeneity among countries considerably limits the overall significance of the results. Using quantile approach, we show thatsome major deforestation factors are more prevalent in high deforestation countries, giving the insight that those factors have been under-estimated in previous studies.

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  • Damette, Olivier & Delacote, Philippe, 2012. "On the economic factors of deforestation: What can we learn from quantile analysis?," Economic Modelling, Elsevier, vol. 29(6), pages 2427-2434.
  • Handle: RePEc:eee:ecmode:v:29:y:2012:i:6:p:2427-2434
    DOI: 10.1016/j.econmod.2012.06.015
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    Cited by:

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    2. Barbier, Edward B. & Tesfaw, Anteneh, 2015. "Explaining forest transitions: The role of governance," Ecological Economics, Elsevier, vol. 119(C), pages 252-261.
    3. Frantisek Cech & Jozef Barunik, 2017. "Measurement of Common Risk Factors: A Panel Quantile Regression Model for Returns," Papers 1708.08622, arXiv.org.
    4. Caravaggio, Nicola, 2020. "Economic growth and the forest development path: A theoretical re-assessment of the environmental Kuznets curve for deforestation," Forest Policy and Economics, Elsevier, vol. 118(C).
    5. Combes, Jean-Louis & Delacote, Philippe & Combes Motel, Pascale & Yogo, Thierry Urbain, 2018. "Public spending, credit and natural capital: Does access to capital foster deforestation?," Economic Modelling, Elsevier, vol. 73(C), pages 306-316.
    6. Julien Wolfersberger & Serge Garcia & Philippe Delacote, 2013. "An empirical analysis of the cumulative nature of deforestation," Working Papers 1303, Chaire Economie du climat.
    7. Wehkamp, Johanna & Koch, Nicolas & Lübbers, Sebastian & Fuss, Sabine, 2018. "Governance and deforestation — a meta-analysis in economics," Ecological Economics, Elsevier, vol. 144(C), pages 214-227.
    8. You, Wanhai & Guo, Yawei & Zhu, Huiming & Tang, Yong, 2017. "Oil price shocks, economic policy uncertainty and industry stock returns in China: Asymmetric effects with quantile regression," Energy Economics, Elsevier, vol. 68(C), pages 1-18.
    9. Indarto, Jarot & Mutaqin, Dadang J., 2016. "An overview of theoretical and empirical studies on deforestation," MPRA Paper 70178, University Library of Munich, Germany.
    10. Qi, Shaozhou & Peng, Huarong & Zhang, Xiaoling & Tan, Xiujie, 2019. "Is energy efficiency of Belt and Road Initiative countries catching up or falling behind? Evidence from a panel quantile regression approach," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    11. Harstad, Bård, 2016. "The market for conservation and other hostages," Journal of Economic Theory, Elsevier, vol. 166(C), pages 124-151.
    12. Jean-Louis Combes & Pascale Combes Motel & Philippe Delacote, 2014. "Public expenses, credit and natural capital: Substitution or complementarity?," Working Papers halshs-00979191, HAL.
    13. Nana Liu & Chuanzhe Liu & Quan Guo & Bowen Da & Linna Guan & Huiying Chen, 2019. "Corporate Social Responsibility and Financial Performance: A Quantile Regression Approach," Sustainability, MDPI, Open Access Journal, vol. 11(13), pages 1-22, July.
    14. Muzafar Shah Habibullah* & Badariah Haji Din & Wei-Chong Choo & Siow-Hooi Tan, 2018. "The Number of Tourist Arrivals, Governance and Their Impact on Threatened Bird Species: Worldwide Evidence," The Journal of Social Sciences Research, Academic Research Publishing Group, pages 28-36:6.
    15. Zhu, Huiming & Duan, Lijun & Guo, Yawei & Yu, Keming, 2016. "The effects of FDI, economic growth and energy consumption on carbon emissions in ASEAN-5: Evidence from panel quantile regression," Economic Modelling, Elsevier, vol. 58(C), pages 237-248.
    16. Wolfersberger, Julien & Delacote, Philippe & Garcia, Serge, 2015. "An empirical analysis of forest transition and land-use change in developing countries," Ecological Economics, Elsevier, vol. 119(C), pages 241-251.
    17. Chao-Qun Ma & Jiang-Long Liu & Yi-Shuai Ren & Yong Jiang, 2019. "The Impact of Economic Growth, FDI and Energy Intensity on China’s Manufacturing Industry’s CO 2 Emissions: An Empirical Study Based on the Fixed-Effect Panel Quantile Regression Model," Energies, MDPI, Open Access Journal, vol. 12(24), pages 1-16, December.
    18. Leblois, Antoine & Damette, Olivier & Wolfersberger, Julien, 2017. "What has Driven Deforestation in Developing Countries Since the 2000s? Evidence from New Remote-Sensing Data," World Development, Elsevier, vol. 92(C), pages 82-102.
    19. Sekrafi Habib & Snoussi Abdelmonen & Mili Khaled, 2020. "The Effect of Corruption on the Environmental Quality in African Countries: a Panel Quantile Regression Analysis," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 11(2), pages 788-804, June.
    20. Zhang, Yue-Jun & Jin, Yan-Lin & Chevallier, Julien & Shen, Bo, 2016. "The effect of corruption on carbon dioxide emissions in APEC countries: A panel quantile regression analysis," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 220-227.
    21. Matias Heino & Matti Kummu & Marika Makkonen & Mark Mulligan & Peter H Verburg & Mika Jalava & Timo A Räsänen, 2015. "Forest Loss in Protected Areas and Intact Forest Landscapes: A Global Analysis," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-21, October.

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