题名

清潔發展機制對溫室氣體減量之成本效率與成本差異分析-共同邊界架構之應用

并列篇名

Cost Efficiency and Cost Difference under the Clean Development Mechanism for Greenhouse Gases Reductions: Application of Meta-Frontier Framework

DOI

10.6181/agec.2017.59.03

作者

劉哲良(Je-Liang Liou);邱可甄(Ke-Zhen Qiu);吳珮瑛(Pei-Ing Wu)

关键词

共同邊界成本函數 ; 隨機邊界成本函數 ; 技術競爭力 ; 減量成本節省 ; 校正一般最小平方法 ; Meta-Frontier cost function ; Stochastic-Frontier cost function ; Technological-Completeness ; Emission reduction cost saving ; Corrected ordinary least square

期刊名称

農業與經濟

卷期/出版年月

59期(2017 / 12 / 01)

页次

73 - 118

内容语文

繁體中文

中文摘要

本文在共同邊界分析法之架構下,以隨機邊界法(stochastic frontier approach)評估各投資國(credit country)於不同主辦國(host country)執行清潔發展機制(clean development mechanism, CDM)各種專案的成本效率(cost efficiency, CE)及技術缺口比率(technology gap ratio, TGR),進而估算執行溫室氣體排放減量的技術無效率與技術進步可達成的成本改善。分析對象包括2005年5月至本研究進行前的2014年12月的22個投資國在54個主辦國所執行的4,061筆CDM專案。依「技術準備度指標」及「創新指標」構成的「世界競爭力指標」,區分所有主辦國為高技術、中高技術、中低技術及低技術水準國家。結果顯示,一如預期,在高技術群組完成的專案之減量成本最低,而中高技術群組稍高,中低技術群組又更高,至於低技術群組則最高。總和而言,改善目前政策或管理方式的無效率及技術進步可帶來之成本節省,高技術競爭力國家平均每公噸為159美元、中高技術競爭力國家平均每公噸為529美元、中低技術競爭力國家平均每公噸為311美元、低技術競爭力國家平均每公噸為852美元。

英文摘要

Under the framework of meta-frontier analyses, this study employs stochastic frontier approach to evaluate the cost efficiency (CE) and technology gap ratio (TGR) for credit countries to adopt different projects under clean development mechanism (CDM) for greenhouse gases reductions in different host countries. The results are then further to estimate the cost saving from the improvement of management inefficiency and change of technologies. This study analyzes 4,061 CDM projects which include those implemented in May 2005 to December 2014 by 22 credit countries invested in 54 host countries. According to technological readiness and innovation, all the host countries are classified as high technological-completeness countries (HTC), upper-middle technological-completeness countries (UMTC), lower-middle technological-completeness countries (LMTC), and lower technological-completeness countries (LTC), the results show as expected that the emission reduction cost is the lowest for HTC and is the highest for LTC and those for LMTC and UMTC are ranked as the second highest and the third. In summary, the saving of total emission reduction from the improvement of management inefficiency and change of technologies is 159 US$ per metric ton for HTC, 529 US$ per metric ton for UMTC, 311 US$ per metric ton for LMTC, and 852 US$ per metric ton for LMTC.

主题分类 生物農學 > 農業
生物農學 > 森林
生物農學 > 畜牧
生物農學 > 漁業
社會科學 > 經濟學
参考文献
  1. 陳香梅、陳文典、游懷萱(2013)。清潔發展機制(CDM)對溫室氣體之減量效果分析。應用經濟論叢,94,75-112。
    連結:
  2. 黃台心、張寶光、邱郁芳(2009)。應用共同成本函數探討東亞六國銀行業之生產效率。經濟論文,37(1),61-100。
    連結:
  3. 黃台心、陳盈秀、鍾銘泰(2012)。應用共同邊界函數探討OECD 與APEC諸國總體生產效率。經濟研究,48(1),1-50。
    連結:
  4. UNFCCC (2014c), Clean Development Mechanism (CDM), Bonn, Germany: United Nations Framework Convention on Climate Change Press. http://unfccc.int/kyoto_protocol/mechanisms/clean_development_mechanism/items/2718.php
  5. Lee, M. K. (ed.) (2004), CDM Information and Guidebook (2nd ed.), Roskilde, Denmark: United Nations Environment Programme Press. http://www.cd4cdm.org/Publications/cdm%20guideline%202nd%20edition.pdf
  6. Cheng, C., S. Pouffary, N. Svenningsen, and M. Callaway (2008), The Kyoto Protocol, the Clean Development Mechanism, and the Building and Construction Sector, Paris, France: United Nations Environment Programme Press. http://www.unep.org/sbci/pdfs/BuildingsandCDMreporte- version.pdf
  7. World Bank (2014), How Are the Income Group Thresholds Determined?, Washington, D.C.: World Bank Press. https://datahelpdesk.worldbank.org/knowledgebase/articles/378833-how-are-the-income-group-thresholds-determined
  8. UNFCCC (2002), “Report of the Conference of the Parties on Its Seventh Session, Held at Marrakesh from 29 October to 10 November 2001,” Proceeding of Conference of FCCC/CP/2001/13/Add.3. In Reports of the Conference of Parties on Its Seventh Session, Morocco: Marrakesh. http://unfccc.int/resource/docs/cop7/13a03.pdf
  9. UNFCCC (2014a), First Steps to a Safer Future: Introducing the United Nations Framework Convention on Climate Change, Bonn, Germany: United Nations Framework Convention on Climate Change Press. http://unfccc.int/essential_background/convention/items/6036.php
  10. McCloskey, A. I., T. T. Joseph, M. A. Aranha, A. A. Bergqvist, A. J. Dvoracek, T. Kudo, E. R. Levine, A. C. Lile, H. M. Matsumoto, C. B. Pearl, J. E. Rogers, and R. L. Rello (ed.) (2005), Reducing Transaction Costs of the Clean Development Mechanism, Columbia: School of International and Public Affairs Press. http://www.roger-raufer.com/Columbia_2005_CDM_Transaction_Costs.pdf
  11. WEF (2014a), Technical Notes and Sources. Cologny, Switzerland: World Economic Forum Press. http://reports.weforum.org/global-competitivenessreport-2014-2015/technical-notes-and-sources/
  12. Ellis, J. and K. Karousakis (2006), “The Developing CDM Market: May 2006 Update,” Working Paper, No. JT03210071. https://www.iea.org/publications/freepublications/publication/DevelopingCDM.pdf
  13. UNEP (2015), CDM/JI Pipeline Analysis and Database, Roskilde, Denmark: United Nations Environment Programme Press. http://www.cdmpipeline.org/
  14. World Bank (2002), What is the World Bank Atlas Method?, Washington, D.C.: World Bank Press. https://datahelpdesk.worldbank.org/knowledgebase/articles/378832-what-is-the-world-bank-atlas-method
  15. UNEP (2016), CDM Projects by Type, Roskilde, Denmark: United Nations Environment Programme Press. http://www.cdmpipeline.org/cdm-projectstype.htm
  16. UNFCCC (2014d), List of Non-Annex I Parties to the Convention, Bonn, Germany: United Nations Framework Convention on Climate Change Press. http://unfccc.int/parties_and_observers/parties/non_annex_i/items/2833.php
  17. WEF (2014b), The Global Competitiveness Index Historical Dataset, Cologny, Switzerland: World Economic Forum Press. http://goo.gl/Sv0cx3
  18. Eckermann, F., A. Hunt, M. Stronzik, and T. Taylor (2004), “The Role of Transaction Costs and Risk Premia in the Determination of Climate Change Policy Responses,” Discussion Paper, No. 03-59. http://ubmadoc.bib.uni-mannheim.de/143/1/ZEW32.pdf.orschung
  19. Aigner, D.,Lovell, C. A. K.,Schmidt, P.(1977).Formulation and Estimation of Stochastic Frontier Production Function Models.Journal of Econometrics,6(1),21-37.
  20. Aurifeille, J. MS.(ed.),Svizzero, S.(ed.),Tisdell, C.(ed.)(2006).Leading Economic and Managerial Issues Involving Globalisation.New York:Nova Science Publishers Press.
  21. Austrian Federal Ministry of Agriculture, Forestry, Environment and Water Management(2003).A Guide to Carrying Out Joint Implementation and Clean Development Mechanism Projects within the Framework of the Austrian JI/CDM Programme.Vienna, Austria:Austrian Federal Ministry of Agriculture, Forestry, Environment and Water Management Press.
  22. Barseghyan, L.,DiCecio, R.(2016).Externalities, Endogenous Productivity, and Poverty Traps.European Economic Review,85,112-126.
  23. Battese, G. E.,Prasada Rao, D. S.(2002).Technology Gap, Efficiency, and a Stochastic Metafrontier Function.International Journal of Business and Economics,1(2),87-93.
  24. Battese, G. E.,Prasada Rao, D. S.,O'Donnell, C. J.(2004).A Metafrontier Production Function for Estimation of Technical Efficiencies and Technology Gaps for Firms Operating under Different Technologies.Journal of Productivity Analysis,21(1),91-103.
  25. Booth, W. J.(1991).Economies of Time: On the Idea of Time in Marx's Political Economy.Political Theory,19(1),7-27.
  26. Carmichael, D. G.,Ballouz, J. J.,Balatbat, M. C. A.(2015).Improving the Attractiveness of CDM Projects through Allowing and Incorporating Options.Energy Policy,86,784-791.
  27. Field, C. B.(ed.),Barros, V. R.(ed.),Dokken, D. J.(ed.),Mach, K. J.(ed.),Mastrandrea, M. D.(ed.),Bilir, T. E.(ed.),Chatterjee, M.(ed.),Ebi, K. L.(ed.),Estrada, Y. O.(ed.),Genova, R. C.(ed.),Girma, B.(ed.),Kissel, E. S.(ed.),Levy, A. N.(ed.),MacCracken, S.(ed.),Mastrandrea, P. R.(ed.),White, L. L.(ed.)(2014).Climate Change 2014: Impacts, Adaptation, and Vulnerability. Part A: Global and Sectoral Aspects. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change.Cambridge:Cambridge University Press.
  28. Førsund, F. R.,Lovell, C. A. K.,Schmidt, P.(1980).A Survey of Frontier Production Functions and of Their Relationship to Efficiency Measurement.Journal of Econometrics,13(1),5-25.
  29. Fried, H. O.(ed.),Lovell, C. A. K.(ed.),Schmidt, S. S.(ed.)(2008).The Measurement of Productive Efficiency and Productivity Growth.New York:Oxford Press.
  30. Fries, S.,Taci, A.(2005).Cost Efficiency of Banks in Transition: Evidence from 289 Banks in 15 Post-Communist Countries.Journal of Banking & Finance,29(1),55-81.
  31. Galor, O.,Moav, O.(2000).Ability-Biased Technological Transition, Wage Inequality, and Economic Growth.The Quarterly Journal of Economics,115(2),469-497.
  32. Greene, W. H.(1980).Maximum Likelihood Estimation of Econometric Frontier Functions.Journal of Econometrics,13,27-56.
  33. Huang, S. K.,Kuo, L.,Chou, K. L.(2016).The Applicability of Marginal Abatement Cost Approach: A Review.Journal of Cleaner Production,127,59-71.
  34. Kumbhakar, S. C.,Lovell, C. A. K.(2000).Stochastic Frontier Analysis.Cambridge:Cambridge University Press.
  35. Meeusen, W.,van Den Broeck, J.(1977).Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error.International Economic Review,18(2),435-444.
  36. Metz, B.(ed.),Davidson, O.(ed.),Bosch, P.(ed.),Dave, R.(ed.),Meyer, L.(ed.)(2007).Climate Change 2007: Mitigation. Contribution of Working Group III to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change.Cambridge:Cambridge University Press.
  37. Michaelowa, A.(2005).CDM: Current Status and Possibilities for Reform.HWWI Research Paper,3
  38. Michaelowa, A.,Jotzo, F.(2005).Transaction Costs, Institutional Rigidities and the Size of the Clean Development Mechanism.Energy Policy,33(4),511-523.
  39. O'Donnell, C. J.,Rao, D. S. P.,Battese, G. E.(2008).Metafrontier Frameworks for the Study of Firm-Level Efficiencies and Technology Ratios.Empirical Economics,34(2),231-255.
  40. Pogosov, I. A.,Sokolovskaya, E. A.(2015).Factors of Long-Term Economic Growth: Ratio of Capital and Labor in the Increase in the Gross Income of the Economy, Number of Employed Individuals, and Labor Productivity.Studies on Russian Economic Development,26(6),525-533.
  41. Rahman, S. M.,Larson, D. F.,Dinar, A.(2012).The Cost Structure of the Clean Development Mechanism.World Bank Policy Research Working Paper,6262
  42. Richmond, J.(1974).Estimating the Efficiency of Production.International Economic Review,15(2),515-521.
  43. Schmid, G.(2012).Technology Transfer in the CDM: The Role of Host-Country Characteristics.Climate Policy,12(6),722-740.
  44. Schmidt, P.,Lovell, C. A. K.(1979).Estimating Technical and Allocative Inefficiency Relative to Stochastic Production and Cost Frontiers.Journal of Econometrics,9(3),343-366.
  45. Stronzik, M.,Hunt, A.,Eckermann, F.,Taylor, T.(2003).ZEW Discussion PapersZEW Discussion Papers,未出版
  46. Tietenberg, T.,Lewis, L.(2011).Environmental & Natural Resources Economics.New Jersey:Pearson Press.
  47. UNFCCC(2016).CDM Methodologies.Bonn, Germany:United Nations Framework Convention on Climate Change Press.
  48. UNFCCC(2014).Kyoto Protocol.Bonn, Germany:United Nations Framework Convention on Climate Change Press.
  49. Winsten, C. B.(1957).Review of The Measurement of Productive Efficiency.Journal of the Royal Statistical Society. Series A (General),120(3),253-290.
  50. 吳珮瑛、陳佳慈、劉哲良(2011)。權衡經濟發展及CO2 排放之跨國技術效率比較—以技術準備度及創新指標為分類基礎。經社法制論叢,48,37-74。
  51. 劉哲良、吳珮瑛、黃芳玫(2009)。跨國共同邊界生產技術效率比較—同步考量正向經濟發展與負向CO2 排放。農業與經濟,43,1-37。