*Radite Teguh Handalani  -  BPSDM Provinsi DKI Jakarta, Indonesia
Received: 30 Nov 2018; Published: 24 May 2019.
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This study aims to analyze the process of changing forest area or deforestation that is multidimensional and complex, encompassing economic aspects, aspects of governance, social and demographic aspects and physical and environmental aspects represented by 15 independent variables in 10 countries in Southeast Asia in the year period 2008-2015. The analysis and study besides relying on the theoretical foundation and previous research also included several variables that describe the complexity and multidimensional changes in forest area. However, these efforts are often constrained by incomplete data and data reliability. In contrast to some previous studies which focused more on economic aspects or aspects of population increase that affected changes in forest area. This research also includes aspects of governance and social and demographic aspects as well as environmental aspect which are expected to complement the spectrum and study of the problems of deforestation and forest degradation. The method used in this study uses pooled least squares and a series of tests to produce the best model specifications and estimators. In research that uses a 95% confidence level on p-value at a value of α = 0.05, it was found that from 15 variables there were only 6 (six) variables that significantly affected the increase in the human development index.

deforestation; governance; sustainable development

Article Metrics:

  1. Anand, S., & Sen, A. (1997). Concepts of Human Development and Poverty: A Multidimensional Perspective . Human Development Papers , 1-20.
  2. Carr, D. (2009). Population and deforestation: Why rural migration matters. Progress in Human Geography.
  3. Crespo Cuaresma, J., Danylo, O., Fritz, S., McCallum, I., Obersteiner, M., See, L., & Walsh, B. (2017). Economic development and forest cover: Evidence from satellite data. Scientific Reports.
  4. Ekananda, Mahyus, Analisis Ekonomterika Data Panel, Teori Lengkap dan Pembahasan Menyeluruh bagi Penelitian Ekonomi, Bisnis dan Sosial, Mitra Wacana Media , Jakarta, 2016
  5. Gonçalves da Silva, H., & Hargrave Gonçalves da Silva Krisztina Kis, J. (2010). A Service of zbw Leibniz-Informationszentrum Wirtschaft Leibniz Information Centre for Economics Economic Causes of Deforestation in the Brazilian Amazon: A Panel Data Analysis for 2000s Standard-Nutzungsbedingungen: Economic Causes of Deforestation in th. Retrieved from
  6. Gujarati, D. (1997). Basic Econometrics Cetakan Kelima. Jakarta: Penerbit Erlangga.
  7. Houghton, R.A., J. I. House, J. Pongratz, G. R. van der Werf, R. S. DeFries, M. C. Hansen, C. Le Quéré, and N. Ramankutty, Carbon emissions from land use and land-cover change, Biogeosciences, 9, 5125-5142, 2012
  8. Imai, N., Furukawa, T., Tsujino, R., Kitamura, S., & Yumoto, T. (2018). Factors affecting forest area change in southeast Asia during 1980-2010. PLoS ONE
  9. James Baker, D. (n.d.). From Kyoto to Paris: Growing Recognition of the Role of Tropical Forests in Climate Change HISTORY OF DEFORESTATION AND INTERNATIONAL EFFORTS. Seton Hall Journal of Diplomacy and International Relations. Retrieved from
  10. Jianguo Liu, Forest Sustainability in China and Implications for a Telecoupled World, Asia & the Pacific Policy Studies, vol. 1, no. 1, pp. 230–250
  11. Jinghan, M. (2007). Ekonomi Perencanaan dan Pembangunan . Jakarta: PT. Raja Grafindo Persada. Koyuncu, C., & Yilmaz, R. (n.d.). THE IMPACT OF CORRUPTION ON DEFORESTATION: A CROSS-COUNTRY EVIDENCE.
  12. Mankiw, N. (2009). Brief Principles of Macroeconomics. South-Western Cengage Lerning, Mason, USA: Cengage Learning.
  13. Margono BA, Turubanova S, Zhuravleva I, Potapov P, Tyukaniva A, Boccini A, Goetz S, Hansec MC. 2012. Mapping and monitoring deforestation and forest degradation in Sumatera (Indonesia) using Landsat time series data sets from 1990 to 2010. Environmental Research Letter Journal 7:034010. 10.1088/1748-9326/7/3/034010
  14. Mauro, P. (1995). Corruption and Growth. The Quarterly Journal of economic, Oxford Academy, 110(1 August 1995), 681-712.
  15. Nachrowi, D. N., & Usman, H. (2006). Pendekatan Populer dan Praktis Ekonometrika untuk Analisis Ekonomi dan Data Keuangan. Jakarta: Lembaga Penerbit Fakultas Ekonomi Universitas Indonesia.
  16. Pachmann, A. (n.d.). Regional FoRmation and development StudieS, (2).
  17. Rijal, S., Saleh, B., Nengah, I., Jaya, S., & Tiryana, T. (1990). The study based on Landsat satellite imagery aquired in.
  18. Rudel, T. K. (2013). The national determinants of deforestation in sub-Saharan Africa. Philosophical Transactions of the Royal Society B: Biological Sciences.
  19. Samsuri , I Nengah Surati Jaya, Cecep Kusmana, Kukuh Murtilaksono, Analysis of Tropical Forest Landscape Fragmentation in Batang Toru, JMHT, Vol. XX (2) p. 77-85, Agustus 2014
  20. Sen, A. (1999). Development as Freedom. New York: Oxford University Press.
  21. Song, X. P., Huang, C., Saatchi, S. S., Hansen, M. C., & Townshend, J. R. (2015). Annual carbon emissions from deforestation in the Amazon basin between 2000 and 2010. PLoS ONE.
  22. Todaro, M., & Smith, S. (2006). Economic Development Ninth Edition. United Kingdom: Pearson Education Limited.
  23. Yani, Nisma, Model Spasial Deforestasi Berdasarkan Aspek Sosial di Sulawesi Selatan dan Sulawesi Barat Periode 1990-2016, Makasar, Universitas Hasanudin, 2016
  24. Ul-Haq, M. (2003). The Birth of Human Development Index. Oxford, UK: Oxford University Press.
  25. United Nation Development Programme, 2018, Human Development Report 2008-2017