Please use this identifier to cite or link to this item:
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/59173
Full metadata record
???org.dspace.app.webui.jsptag.ItemTag.dcfield??? | Value | Language |
---|---|---|
dc.contributor.advisor | 吳珮瑛 | |
dc.contributor.author | Patrick Wijaya Tjoek | en |
dc.contributor.author | 蔣曾雄 | zh_TW |
dc.date.accessioned | 2021-06-16T09:17:11Z | - |
dc.date.available | 2017-07-17 | |
dc.date.copyright | 2017-07-17 | |
dc.date.issued | 2017 | |
dc.date.submitted | 2017-07-12 | |
dc.identifier.citation | 1. Abella, J. A. and Bayacag, P. (2013). Environment, Health, and Economic Growth in the Philippines. Philippines Agricultural Economics and Developmental Association. University of Southeastern Philippines, Bo. Obrero, Davao City.
Retrieved from: https://paedacon.files.wordpress.com/2013/10/fullpaper_abella_junecell.pdf Accessed Date: 12/05/2017 2. Abdulai, A. and Kleemann, L. (2009). The Impact of Trade and Economic Growth on the Environment: Revisiting the Cross-Country Evidence. Journal of International Development, 25(2):180-205. 3. Aldy, J. E. (2004). An Environmental Kuznets Curve Analysis of U.S. State-Level Carbon Dioxide Emissions. Harvard University Press. Cambridge, Massachusetts. Retrieved from: https://www.hks.harvard.edu/m-rcbg/repsol_ypf-ksg_fellows/Papers/Aldy/Aldy%20States%20EKC%20Paper.pdf. Accessed Date: 17/05/2017 4. Anand, N. (2014). An Overview of Indian Economy (1991-2013). Journal of Economics and Finance , 3(3):19-24. 5. Azam, M. and Khan, A.Q. (2016). Testing The Environmental Kuznets Curve Hypothesis: A Comparative Empirical Study for Small, Lower, Middle, Upper Middle and High-Income Countries. Renewable and Sustainable Energy Reviews, 63(1): 556-567. 6. Barr, C., Barney, K., and Laird, S. (2014). Governance Failures and the Fragmentation of Tropical Forests. Global Forest Fragmentation, 10(1):132-157. 7. Batalgi, B. H. (2005). Econometric Analysis of Panel Data, 3rd edition. John Wiley and Sons, Chichester, UK. 8. Bloom, D.E. and Canning, D. (2008). Population Health and Economic Growth. Commision on Growth And Development, Working paper No.24. Harvard School of Public Health, Cambridge, Massachusetts. Retrieved from: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2250761 Accessed Date: 25/06/2017 9. Bo, S. (2011). A Literature Survey on Environmental Kuznets Curve. Energy Procedia, 5(1):1322–1325. 10. Bouzanis, A. (2017). Economic Snapshot for ASEAN. Focus Economics. Retrieved from: http://www.focus-economics.com/regions/asean. Accessed Date: 25/06/2017 11. Carson, R.T. (2009). The Environmental Kuznets Curve: Seeking Empirical Regularity and Theoretical Structure. Review of Environmental Economics and Policy, 4(1):3-23. 12. Chakravarty, S.K., Ghosh, C.P., Suresh, A.N, Dey and Gopa Shukla. (2012). Deforestation: Causes, Effects, and Control Strategies, Global Perspectives on Sustainable Forest Management, Dr. Dr. Clement A. Okia (Ed). 13. Cialani, C. (2014). Essays on Growth and Environment. Reports of Umea Graduate School of Business and Economics Department of Economics. Doctoral Thesis. University of Umea, Umea, Sweden. Retrieved from: http://www.allthesisonline.com/wp-content/uploads/2015/07/Essays-on-Growth-and-Environment.pdf. Accessed Date: 25/06/2017 14. Dasgupta, S., Laplante, B., and Wheeler, D. (2002). Confronting the Environmental Kuznets Curve. The Journal of Economic Perspective, 16(1):147-168. 15. Disli, M., Ng, A., and Askari,H. (2016). Culture, Income, and CO2 Emission. Renewable and Sustainable Energy Review, 62(1):418-428. 16. Dunn, M.H. (1994). Do Nations Compete Economically? A Critical Comment on Prof. Krugman’s Essay “Competitiveness: A Dangerous Obession”. Intereconomics, 29(6): 303-308. 17. Food and Agricultural Organizations of the United Nations (FAO). (2010). Global Forest Resources Assessment. Rep. No. 163. Rome: Food and Agriculture Organization of the United Nations, 2010. 18. Frankel, J. and Orszag, P. (2001). Retrospective on American Economic Policy inthe 1990s. MIT Press, Cambridge, Massachusetts. Retrievedfrom:https://www.brookings.edu/wpcontent/uploads/2016/06/20011102.pdf. Accessed Date: 25/06/2017 19. Free World Maps. (2005). South East Asia Political Map. Retrievedfrom:http://www.freeworldmaps.net/asia/southeastasia/southeastasia_political.gif. Accessed Date: 13/04/2017 20. Egli, H. (2001). Are Cross-Country Studies of the Environmental Kuznets Curve Misleading? New Evidence from Time Series Data for Germany. Ernst-Moritz-Arndt University of Greifswald. Discussion Paper 10/2001. University of Greifswald, Greifswald, Germany. Retrieved from: https://ideas.repec.org/p/zbw/grewdp/102001.html. Accessed Date: 25/05/2017. 21. Ewart Jr, D. (2004). South East Asia Coal Development. World Coal. Marston and Marston, Inc. United States of America. Retrievedfrom:http://www.marston.com/Portals/0/MARSTON_Southeast_Asian_Coal_Developments.pdf Accessed Date: 16/05/2017. 22. Energy Outlook of South East Asia. (2015). International Energy Agency. France. 23. Grossman, G and Krueger, A. (1991). Environmental Impacts of a North American Free Trade Agreement. National Bureau of Economic Research. Working Paper No. 3914. MIT Press, Cambridge, Massachusetts. Retrieved from: http://www.nber.org/papers/w3914. Accessed Date: 07/04/2017 24. Grossman, G. and Kruger, A. (1995). Economic Growth and Environment. The Quarterly Journals of Economics. 110(2): 353-377. 25. Harris, J.M. (2004). Trade and the Environment. Global Development And Environment Institute. Tufts University, Medford, Massachusetts. 26. Hiebert, M., Pumphrey, D.L., Poling, G.B., and Walton, M.A (2012). Sustainable Energy Futures in Southeast Asia. Center for Strategic and International Studies. Washington, Washington D.C. 27. Hoechle, D. (2007). Robust Standard Errors for Panel Regressions with Cross-Sectional Dependence. The Statistics and Data Journal. 7(3):281-312. 28. Hoyos, R. and Sarafidis, V. (2006). Testing for Cross-Sectional Dependence in Panel Data Models. The Statistics and Data Journal, 6(4):482-496. 29. Islam, M., Pei, Y.H., and Mangharam, S. (2016). Trans-Boundary Haze Pollution in Southeast Asia: Sustainability through Plural Environmental Governance. Sustainability, 8(5):499. 30. Ibrahim, M.H. and Rizvi, S.A.R. (2015). Emissions and Trade in Southeast and East Asian Countries: A Panel Co-integration Analysis. International Journal of Climate Change Strategies and Management, 7(4): 460-475. 31. Jalil, A. and Mahmud, S. F. (2009). Environment Kuznets Curve for CO2 Emissions: A Cointegration Analysis for China. Energy Policy, 37(12):5167-5172. 32. Jaeger, W.K. and Kolpin, V. (2008). The Environmental Kuznets Curve from Multiple Perspectives. FEEM Working Paper No.38. Department of Agriculture and Resource Economics, Oregon State University, Oregon. Retrievedfrom:https://www.academia.edu/7622789/The_Environmental_Kuznets_Curve_from_Multiple_Perspectives?auto=download Accessed Date: 12/05/2017. 33. Katircioglu, S.T., Feridun, M., and Kilinc, C. (2014). Estimating Tourism-Induced Energy Consumption and CO2 Emissions: The Case of Cyprus. Renewable and Sustainable Energy Reviews, 29(1): 634-640. 34. Lisandro, A., Perroni, C., and Wigle, R. (1997). Trade and Environment: Bargaining Outcomes from Linked Negotiations. CSGR Working Paper No 6216. Review of International Economics, 9(3):414-428. 35. Ranveer, A.C. and Latake, P.T. (2015). The Greenhouse Effect and Its Impacts on Environment. International Journal of Innovative Research and Creative Technology, 1(3):333-337. 36. Millimet, D.L., List, J.A., and Stengos, T. (2003). The Environmental Kuznets Curve: Real Progress or Misspecified Models? Review of Economics and Statistics, 85(4):1038-1047. 37. Napoli, C. (2013). Growing Green: A Comparison across Southeast Asia. Working Paper Prepared for the Nottingham GEP. University of Nottingham, Kuala Lumpur, Malaysia. Retrievedfrom:https://www.nottingham.ac.uk/gep/documents/conferences/2013/malaysia-conference/christopher-napoli.pdf. Date Accessed: 16/05/2017. 38. Nourdhaus, W.D. (2007). Economic Theory of Technological Change Theory of Innovation. The American Economic Review, 59(2):18-28. 39. Phimphanthavong, H. (2013). “The Impacts of Economic Growth on Environmental Conditions in Laos. International Journal Business Management Economic Restoration, 4(45):766-774. 40. Richmond, A.K. and Kaufmann, R.K. (2006). Energy Prices and Turning Points: The Relationship between Income and Energy Use/Carbon Emissions. The Energy Journal, 27(4):157-180. 41. Saboori, B., Sulaiman, J., and Mohd, S. (2012). Economic Growth and CO2 Emissions in Malaysia: A Cointegration Analysis of the Environmental Kuznets Curve. Energy Policy, 51(1): 184-191. 42. Sulemana, I., Harvey, S., and Rikoon, S. (2016). Environmental Kuznets Curves for Air Pollution in African and Developed Countries: Exploring Turning Point Incomes and the Role of Democracy. Journal of Environmental Economics and Policy. 43. Sugiawan, Y. and Managi, S. (2016). The Environmental Kuznets Curve in Indonesia: Exploring the Potential of Renewable Energy. Energy Policy, 98(1):187-198. 44. Sinha, A. and Bhatt, M. (2017). Environmental Kuznets Curve for CO2 and NO2 emissions: A Case Study of India. European Journal of Sustainable Development, 6(1):267-276. 45. Stern, D.I. (2004). Energy and Economic Growth. Encyclopedia of Energy, 2(1):35-51. 46. Stern, D.I. (2004). The Rise and fall of the Environmental Kuznets Curve. World Development, 32(8):1419-1439. 47. Taguchi, H. (2012). The environmental Kuznets curve in Asia: The case of Sulphur and carbon emissions. Asia-Pacific Development Journal, 19(2): 77-92. 48. Torras, M. and Boyce, J.K. (1998). Income, Inequality, and Pollution: A Reassessment of the Environmental Kuznets Curve. Ecological Economics. 25(1): 147-160. 49. Wayman, E. (2012). The Oldest Human Fossils in Southeast Asia. Smithsonian Magazine. Retrieved from: http://www.smithsonianmag.com/science-nature/the-oldest-human-fossils-in-southeast-asia-16207900/ Accessed Date: 12/04/2017 50. The World Bank, World Development Indicators (2003 -2012). CO2 Emission (metric tons per capita). Brunei, Cambodia, Indonesia, Laos, Malaysia, Myanmar, Philippines, Singapore, Thailand, Vietnam. The World Bank Development Data Group. 51. The World Bank, World Development Indicators. (2003 -2012). Energy intensity level of primary energy (MJ/$2011 PPP GDP). Brunei, Cambodia, Indonesia, Laos, Malaysia, Myanmar, Philippines, Singapore, Thailand, Vietnam. The World Bank Development Data Group. 52. The World Bank, World Development Indicators. (2003-2012). GDP per capita (US$ current Thousand). Brunei, Cambodia, Indonesia, Laos, Malaysia, Myanmar, Philippines, Singapore, Thailand, Vietnam. The World Bank Development Data Group. 53. The World Bank, World Development Indicators. (2003 -2012). GDP Deflator (base year varies by country). Brunei, Cambodia, Indonesia, Laos, Malaysia, Myanmar, Philippines, Singapore, Thailand, Vietnam. The World Bank Development Data Group. 54. The World Bank, World Development Indicators. (2003 -2012). Population, Total. Brunei, Cambodia, Indonesia, Laos, Malaysia, Myanmar, Philippines, Singapore, Thailand, Vietnam. The World Bank Development Data Group. 55. The World Bank, World Development Indicators. (2003-2012). SO2 emissions (metric tons per capita). Brunei, Cambodia, Indonesia, Laos, Malaysia, Myanmar, Philippines, Singapore, Thailand, Vietnam. The World Bank Development Data Group. 56. The World Bank, World Development Indicators. (2003-2012). Trade (% of GDP). Brunei, Cambodia, Indonesia, Laos, Malaysia, Myanmar, Philippines, Singapore, Thailand, Vietnam. The World Bank Development Data Group. 57. World Health Organization. (2004). The World Health Report 2004. World Health Organization, Switzerland. 58. Wooldridge, J. M. (2009). Introductory Econometrics: A Modern Approach. 5th International Edition. South-Western/ Cengage Learning, Canada. 59. Yegorov, Y. (2015). Economic Role of Population Density. Paper for ERSA 2015. University of Vienna, Vienna, Austria. Retrieved from: https://ideas.repec.org/p/wiw/wiwrsa/ersa15p207.html. Date Accessed: 13/04/2017. 60. Villoria, N,B, Byerlee, D, and Stevenson, J. (2014). The Effects of Agricultural Technological Progress on Deforestation: What Do We Know? Applied Economic Perspectives and Policy, 36(2):211-237. 61. Utari, G.A, and Cristina, R. (2015). Growth and Inequality in Indonesia: Does Kuznets Curve Hold? Journal of Modern Accounting and Auditing, 11(2):93-111. 62. Zhang, Y. (2011). Scale, Technique, and Composition Effects in Trade-Related Carbon Emissions in China. Environ Resource Economics, 51(1):371-389. 63. Zhou, Z., Ye, X., and Ge, X. (2017). The Impacts of Technical Progress on Sulfur Dioxide Kuznets Curve in China: A Spatial Panel Data Approach. Sustainability, doi: 10.3390/su9040674. | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/59173 | - |
dc.description.abstract | South East Asia has progressed immensely within the last decade as one of the leading regions within the international market. Even though economic development has grown rapidly over the years, the cost of rapid economic development has made South East Asia a major contributor to the already dire global environmental degradation. Many scholars have concentrated on a theory that connects the dot between environmental degradation and economic development of countries, which leads into the inverted U-shape graph known as the Environmental Kuznets Curve. Using pooling time series and cross-sectional data set to increase sampling power, this study tries to create the representation of South East Asia EKC curve between 2003-2012 in order to see the trajectory of South East Asia economic and environmental development. Concerning the practical framework of the Environmental Kuznets Curve, carbon dioxide (CO2) and sulfur dioxide (SO2) are used to represent the environmental degradation, while economic development is represented by real GDP per capita. Because South East Asia embodied different countries with economies level that vary in income level per capita, the EKC curve would then be analyzed under differences in income. The result indicates that no matter the level of income within South East Asia, CO2 and SO2 would decline as long as economic development continues to grow positively. Yet lower income countries EKC is always positioned higher in comparison with high-income countries, suggesting lower environmental abatement compared to higher income countries. The turning point for CO2 and SO2 are far above the current economic situation within South East Asia. In regards to environmental degradation to income elasticity of environmental degradation, CO2 portrayed a monotonically positive relationship while SO2 is in the process of decreasing at a monotonic rate. | en |
dc.description.provenance | Made available in DSpace on 2021-06-16T09:17:11Z (GMT). No. of bitstreams: 1 ntu-106-R04627038-1.pdf: 1748566 bytes, checksum: 7acd3bed2a438108842e7491df0995f4 (MD5) Previous issue date: 2017 | en |
dc.description.tableofcontents | Acknowledgements ii
Abstract iii Chapter 1 Introduction 1 Chapter 2 Economic Development and Environmental Protection of South East Asia 5 2.1 South East Asia Historical and General Background 5 2.1.1 South East Asia Economic History 5 2.1.2 South East Asia Population Density Development 9 2.2 South East Asia Environmental Development 10 2.2.1 Impact of Forestry Development in South East Asia 11 2.2.2 Impact of Energy Production in South East Asia 13 Chapter 3 Literature Review 18 Chapter 4 Data Description and Empirical Specifications 24 4.1 Sources of Data 24 4.1.1 Summary Statistics for Sample 24 4.1.2 Explanation for Variables of Interest 25 4.2 Explanation for Sample Testing Components and Testing Results 29 4.2.1 Explanation and Results of Test Cross-Sectional Dependence 29 4.2.2 Explanation and Results for Testing Serial Correlation/Auto Correlation 30 4.2.4 Explanation for Test and Results for Multi-Collinearity 32 4.3 Model Specifications for EKC Estimation 33 4.3.1 Specifications of EKC Model for South East Asia Countries 33 4.3.2 Estimation of EKC for South East Asia Countries 35 4.3.3 Empirical Model for Testing Income Differences in South East Asia EKC 38 Chapter 5 Results and Discussion 41 5.1 Results of EKC of CO2 and SO2 in South East Asia 41 5.1.1 Discussion of CO2 for South East Asia EKC Model Estimation 41 5.1.2 Testing CO2 for South East Asia EKC for High and Low Income Countries 44 5.1.3 Discussion of SO2 for South East Asia EKC Model Estimation 48 5.1.4 Testing SO2 for South East Asia for EKC for High and Low Income Countries 51 5.1.5 Testing the Turning Point of South East Asia CO2 and SO2 Estimation 56 5.2 Result for South East Asia EKC under Income Differentiation 58 5.2.1 Results of EKC for CO2 Under Income Differentiation 58 5.2.2 Results of EKC for SO2 Under Income Differentiation 62 5.3 Results for South East Asia Income Elasticity of Environmental Degradation 65 5.3.1 Results for South East Asia Income Elasticity of CO2 65 5.3.2 Results for South East Asia Income Elasticity of SO2 67 Chapter 6 Conclusion and Recommendation 69 References 72 | |
dc.language.iso | en | |
dc.title | 探討21世紀東南亞國家CO2與SO2環境顧茲耐曲線 | zh_TW |
dc.title | Exploring the Environmental Kuznets Curve for CO2 and SO2 for South East Asia in the 21st Century Context | en |
dc.type | Thesis | |
dc.date.schoolyear | 105-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 劉哲良,許聖章,闕雅文 | |
dc.subject.keyword | 環境損害,經濟發展,東南亞,固定效應模式與隨機效應模式,需求的收入彈性,按高低高飛行剖面飛行的人均收入, | zh_TW |
dc.subject.keyword | Environment Degradation,Economic Development,South East Asia,Fixed and Random Effect,Income Elasticity of Environmental Degradation,High and Low Income per capita, | en |
dc.relation.page | 80 | |
dc.identifier.doi | 10.6342/NTU201701456 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2017-07-13 | |
dc.contributor.author-college | 生物資源暨農學院 | zh_TW |
dc.contributor.author-dept | 農業經濟學研究所 | zh_TW |
Appears in Collections: | 農業經濟學系 |
Files in This Item:
File | Size | Format | |
---|---|---|---|
ntu-106-1.pdf Restricted Access | 1.71 MB | Adobe PDF |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.