Do Plantation As Main Income Influence Deforestation?: Evidence From The Village Level In Kalimantan, Indonesia
Abstract
The complexity of the drivers of deforestation in Indonesia requires various research on deforestation, especially to support policies related to reducing deforestation. The economy is one aspect that contributes to providing an overview of deforestation. This study investigates the relationship between deforestation and village with dominant income from plantation as main commodity. A panel data analysis using data from 3260 villages
in Kalimantan in 2011, 2014, and 2018 was analyzed to determine whether plantation as main income affected deforestation. The dependent variable is deforestation in each village. There are 14 independent variables used,
with the main variable is villages with main income from plantation as a dummy variable. The results of random effect model show that villages with plantation as main commodity have a positive impact on deforestation.
Ten independent variables show a positive relationship with deforestation. Four independent variables show a negative relationship with deforestation, which include the use of firewood, practice of burning land, non-wood
small industries, and logging companies (PBPH Hutan Alam). The recommendation of this research is the need to replanting the degraded and non-productive land for the wood plantation areas, thus the conversion of forest into non-forest area can be avoided.
Keywords
Full Text:
PDFReferences
Arshad, Z., Robaina, M., Shahbaz, M., & Veloso, A. B. (2020). The effects of deforestation and urbanization on sustainable growth in Asian countries. Environmental Science and Pollution Research, 27(9), 10065–10086.
https://doi.org/10.1007/s11356-019-07507-7.
Austin, K. G., Schwantes, A., Gu, Y., & Kasibhatla, P. S. (2019). What causes deforestation in Indonesia? Environmental Research Letters, 14(2). https://doi.org/10.1088/1748-9326/aaf6db.
Bhatia, N., & Cumming, G. S. (2020). Deforestation and economic growth trends on oceanic islands highlight the need for meso-scale analysis and improved mid-range theory in conservation. Ecology and Society, 25(3), 1–14. https://doi.org/10.5751/ES-11713-250310.
Busch, J., & Ferretti-Gallon, K. (2017). What drives deforestation and what stops it? A meta-analysis. Review of Environmental Economics and Policy, 11(1), 3–23. https://doi.org/10.1093/reep/rew013.
Busch, J., Ferretti-Gallon, K., Engelmann, J., Wright, M., Austin, K. G., Stolle, F., Turubanova, S., Potapov, P. V., Margono, B., Hansen, M. C., & Baccini, A. (2015). Reductions in emissions from deforestation from Indonesia’s
moratorium on new oil palm, timber, and logging concessions. Proceedings of the National Academy of Sciences of the United States of America, 112(5), 1328–1333. https://doi.org/10.1073/pnas.1412514112.
Chan, S., & Sasaki, N. (2014). Assessment of Drivers of Deforestation and Forest Degradation in Phnom Tbeng Forest Based on SocioEconomic Surveys. Journal of Environmental Protection, 05(17), 1641–1653.
https://doi.org/10.4236/jep.2014.517155.
Damette, O., & Delacote, P. (2012). On the economic factors of deforestation: What can we learn from quantile analysis? Economic Modelling. https://doi.org/10.1016/j.econmod.2012.06.015.
Direktorat Jenderal Perkebunan. (2017). Statistik perkebunan Indonesia. http://ditjenbun.pertanian.go.id/?publikasi=buku-publikasistatistik-2015-2017.
Djaenudin, D., Oktaviani, R., Hartoyo, S., & Dwiprabowo, H. (2018). Analysis of Probability for Achieving the Reduction of Deforestation Rate: Forest Transition Theory Approach. Jurnal Penelitian Sosial Dan Ekonomi Kehutanan, 15(1), 15–29. https://doi.org/10.20886/jpsek.2017.15.1.15-29.
Ewers, R. M. (2006). Interaction effects between economic development and forest cover determine deforestation rates. Global Environmental Change, 16(2), 161–169. https://doi.org/10.1016/j.gloenvcha.2005.12.001.
Goers, L., & Lawson, J. (2012). Economic drivers of tropical deforestation for agriculture. Managing Forest Carbon in a Changing Climate, 305–320. https://doi.org/10.1007/978-94-007-2232-3_3.
Harahap, F., Silveira, S., & Khatiwada, D. (2017). Land allocation to meet sectoral goals in Indonesia—An analysis of policy coherence. Land Use Policy, 61, 451–465. https://doi.org/10.1016/j.landusepol.2016.11.033.
Hosonuma, N., Herold, M., De Sy, V., De Fries, R. S., Brockhaus, M., Verchot, L., Angelsen, A., & Romijn, E. (2012). An assessment of deforestation and forest degradation drivers in developing countries. Environmental
Research Letters, 7(4). https://doi.org/10.1088/1748-9326/7/4/044009.
Jorgenson, A. K. (2008). Structural integration and the trees: An analysis of deforestation in less-developed countries, 1990-2005. Sociological Quarterly, 49(3), 503–527. https://doi.org/10.1111/j.1533-8525.2008.00126.x.
Krishna, V. V., Kubitza, C., Pascual, U., & Qaim, M. (2017). Land markets, Property rights, and Deforestation: Insights from Indonesia. World Development, 99, 335–349. https://doi.org/10.1016/j.worlddev.2017.05.018
Kubitza, C., Krishna, V. V., Urban, K., Alamsyah, Z., & Qaim, M. (2018). Land Property Rights, Agricultural Intensification, and Deforestation in Indonesia. Ecological Economics, 147(January), 312–321. https://doi.org/10.1016/j.ecolecon.2018.01.021.
Kuhe, A., Bisu, D. Y., & Iortyer, H. A. (2017). Optimization of cooking energy mix, an alternative strategy to reduce deforestation: An example of households and restaurants in the Bauchi Metropolis, Nigeria. African
Journal of Science, Technology, Innovation and Development, 9(2), 207–213. https://doi.org/10.1080/20421338.2017.1305653.
Margono, B. A., Usman, A. B., Budiharto, & Sugardiman, R. A. (2016). Indonesia ’ s Forest Resource Monitoring. 48(1).
Obidzinski, K., Andriani, R., Komarudin, H., & Andrianto, A. (2012). Environmental and social impacts of oil palm plantations and their implications for biofuel production in Indonesia. Ecology and Society, 17(1). https://doi.org/10.5751/ES-04775-170125.
Pendrill, F., Persson, U. M., Godar, J., Kastner, T., Moran, D., Schmidt, S., & Wood, R. (2019). Corrigendum to “Agricultural and forestry trade drives large share of tropical deforestation emissions” [Global Environ. Change
(2019) 1–10](S0959378018314365) (10.1016/j.gloenvcha.2019.03.002). Global Environmental Change, 63(June), 102103. https://doi.org/10.1016/j.gloenvcha.2020.102103.
Smajgl, A., & Bohensky, E. (2013). Behaviour and space in agent-based modelling: Poverty patterns in East Kalimantan, Indonesia. Environmental Modelling and Software, 45, 8–14. https://doi.org/10.1016/j.envsoft.2011.10.014.
Tjandrakirana, R. (2006). Forest cover analysis for deforestation estimation: an econometric model (Analisis penutupan hutan sebagai taksiran deforestasi : suatu model ekonometrika). Jurnal Ekonomi dan Pembangunan Indonesia, VII(1).
United Nations Statistic Division. (2020). Undata Country Profile Indonesia. In United Nations Statistic Division. http://data.un.org/CountryProfile.aspx?crName=indonesia
Wijaya, A., Sugardiman, R. A., Budiharto, B., Tosiani, A., Murdiyarso, D., & Verchot, L. V. (2015). Assessment of large scale land cover change classifications and drivers of deforestation in Indonesia. International Archives of the
Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 40(7W3), 557–562.https://doi.org/10.5194/isprsarchives-XL-7-W3-557-2015
DOI: https://doi.org/10.20886/jpsek.2022.19.1.1-14
Refbacks
- There are currently no refbacks.
Copyright (c) 2022 Jurnal Penelitian Sosial dan Ekonomi Kehutanan
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Jurnal Penelitian Sosial dan Ekonomi Kehutanan Indexed by:
...More
Jurnal Penelitian Sosial dan Ekonomi Kehutanan (JPSEK)
eISSN : 2502-4221 pISSN : 1979-6013
JPSEK is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
