(34.239.176.198) 您好!臺灣時間:2021/04/23 20:31
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果

詳目顯示:::

我願授權國圖
: 
twitterline
研究生:陳慶勳
研究生(外文):Chen, Ching-Hsin
論文名稱:臺灣各縣市能源與汙染之共同邊界效率分析
論文名稱(外文):Metafrontier Energy and Pollution Efficiency of Administrative Regions in Taiwan with Undesirable Outputs
指導教授:胡均立胡均立引用關係
指導教授(外文):Hu, Jin-Li
口試委員:胡均立陳疆平張民忠邱裕鈞
口試委員(外文):Hu, Jin-LiChen, Chiang-PingChang, Ming-ChungChiou, Yu-Chiun
口試日期:2017-05-27
學位類別:碩士
校院名稱:國立交通大學
系所名稱:經營管理研究所
學門:商業及管理學門
學類:企業管理學類
論文種類:學術論文
論文出版年:2018
畢業學年度:106
語文別:英文
論文頁數:56
中文關鍵詞:非意欲產出共同邊界資料包絡法
外文關鍵詞:Data envelopment analysisTwo-stage approachPollution efficiencyMetafrontier
相關次數:
  • 被引用被引用:0
  • 點閱點閱:76
  • 評分評分:系統版面圖檔系統版面圖檔系統版面圖檔系統版面圖檔系統版面圖檔
  • 下載下載:17
  • 收藏至我的研究室書目清單書目收藏:0
此研究的目的在於使用共同邊界分析衡量台灣地區19個行政區域在2004年至2015年的能源與污染效率。本篇論文利用資料包絡分析法(Data Envelopment Analysis, 簡稱DEA)的差額變數為基礎並考慮非意欲產出的模型(Slack-based Model with Undesirable Outputs),因為考量到各縣市的天然資源與地理位置所產生的發展並不同,而採用共同邊界分析法將直轄市與非直轄市分為兩個子群體,進而計算出各縣市的效率與技術落差,考量變數包含了六種投入(政府支出、就業人數、柴油銷售量、汽油銷售量、家庭用電量、工業用電量)、一種意欲產出(收入)與三種非意欲產出(垃圾清運量、污水排放量、SO2濃度),實證研究發現不管在總效率或是三種污染效率的分析下,台北市與新北市都是表現最好的:與總體而言,直轄市在總效率和三種污染效率的平均表現都優於非直轄市,這些發現都與先前的研究結果相去不遠。另外透過共同邊界分析法發現新竹市應大幅縮減其整體資源使用及汙染排放上的技術落差。
This research intends to assess the energy and pollution efficiency of 19 administrative regions in Taiwan over the period 2004 to 2015 under matafrontier analysis. Present research uses DEA (Data Envelopment Analysis) to conduct the research by adopting the slack-based model (SBM) with undesirable outputs, including six inputs (government spending, the number of people employed, the amount of gasoline sales, the amount of diesel sales, the amount of residential electricity consumed, the amount of industrial electricity consumed), one desirable output (total real income in the base year of 2011), and three undesirable outputs (the volume of garbage generated, the amount of sewage effluent and the density of SO2 emission in the air). Taking into account of different development as a result of natural resources and geographical location, we then separate municipalities and non-municipalities into two subgroups and apply the matafrontier approach. The metafrontier efficiency, subgroup efficiency, and technology gap ratio of each region can all be computed. Empirical research shows that under metafrontier analysis Taipei City and New Taipei City have the best performances for overall and three pollution efficiency. In general, the average of municipalities is higher than that of non-municipalities, which is similar to the previous researches. Another finding is that the technology gap ratio of Hsinchu City is the lowest in terms of overall and three pollution efficiencies.
Table of Contents
1. Introduction 1
2. Literature review 5
2.1 Parametric approach vs. non-parametric approach 5
2.2 History and development of DEA 6
2.3 Metafrontier 8
2.4 Relationship between energy and GDP 10
3. Methodology 11
3.1 Slack-based measure model 11
3.2 The Ecological Total Pollution Efficiencies 15
3.3 Metafrontier 16
4. Empirical Findings 19
4.1 Data sources illustration 19
4.2 Groupfrontier analysis 21
4.3 Technology gap ratio (TGR) 30
4.4 Metafrontier analysis 38
4.5 Discussion 49
5. Conclusion, restriction and future suggestion 50
References 52
Banker, R. D., Charnes, A., Cooper, W. W. (1984). Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management Science, 30(9), 1078-1092.
Battese, G. E., Rao, D. P. (2002). Technology gap, efficiency, and a stochastic metafrontier function. International Journal of Business and Economics, 1(2), 87
Battese, G. E., Rao, D. P., 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.
Bureau of Energy, Ministry of Economic Affairs, Taiwan. Energy Supply and domestic energy consumption and supply 2015 (in Chinese). Taipei: Executive Yuan.
Campbell, J. Y., Perron, P. (1991). Pitfalls and opportunities: what macroeconomists should know about unit roots. NBER Macroeconomics Annual, 6, 141-201.
Caves, D. W., Christensen, L. R., Diewert, W. E. (1982). The economic theory of index numbers and the measurement of input, output, and productivity. Econometrica, 50(6),1393-1414.
Central Bank of the Taiwan. (2012). Calculating per Capita GDP for each country in 2010 and 2011 by PPP. (In Chinese) Downloaded from http://www.cbc.gov.tw/public/Attachment/253019284571.pdf.
Chang, B. G., Huang, T. H., Kuo, C. Y. (2015). A comparison of the technical efficiency of accounting firms among the US, China, and Taiwan under the framework of a stochastic metafrontier production function. Journal of Productivity Analysis, 44(3), 337-349.
Charnes, A., Cooper, W. W., Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429-444.
Charnes, A., Cooper, W. W., Lewin, A. Y., Seiford, L. M. (Eds.). (2013). Data envelopment analysis: Theory, methodology, and applications. Springer Science and Business Media.
Chen, S. T., Kuo, H. I., Chen, C. C. (2007). The relationship between GDP and electricity consumption in 10 Asian countries. Energy Policy, 35(4), 2611-2621.
Cheng, B. S., Lai, T. W. (1997). An investigation of co-integration and causality between energy consumption and economic activity in Taiwan. Energy economics, 19(4), 435-444.
Chung, Y. H., Färe, R., Grosskopf, S. (1997). Productivity and undesirable outputs: a directional distance function approach. Journal of Environmental Management, 51(3), 229-240.
Coelli T.J., Rao D.S.P., O'Donnell C.J., Battese G.E. (1998). An Introduction to Efficiency and Productivity Analysis.
Coelli T.J., Perelman S. (1999). Comparison of Parametric and Non-Parametric Distance Functions: With Application to European Railways, European Journal of Operational Research 117(2): 326-339.
Cooper, W. W., Seiford, L. M., Tone, K. (2006). Introduction to data envelopment analysis and its uses: with DEA-solver software and references. Springer Science and Business Media.
Debreu, G. (1951). The coefficient of resource utilization. Econometrica, 19(3), 273-292.
Directorate General of Budget, Accounting and Statistics. Taiwan Statistics Data Book, Executive Yuan, Taiwan.
Environmental Protection Administration, Executive Yuan, Taiwan. Data of Sewage Emission. Downloaded from http://erdb.epa.gov.tw/DataRepository/PollutionProtection/WasteReduction.aspx
Farrell, M. J. (1957). The measurement of productive efficiency. Journal of the Royal Statistical Society. Series A (General), 120(3), 253-290.
Färe, R., Grosskopf, S., Lovell, C. K., & Pasurka, C. (1989). Multilateral productivity comparisons when some outputs are undesirable: a nonparametric approach. The review of economics and statistics, 90-98.
Hu, J.L. (2005). Efficient air pollution abatement for regions in China. Journal International Journal of Sustainable Development & World Ecology. 13(4): 327-340.
Hu, J.L., Wang S.C. (2006). Total-Factor Energy Efficiency of Regions in China. Energy Policy 34(17): 3206-3217.
Hu, J. L., & Chang, T. P. (2016). Energy and Pollution Efficiencies in China’s Regions. In China's Energy Efficiency and Conservation (pp. 61-74). Springer Singapore.
Hu, J.L., Lio, M. C., Kao, C.H., Lin Y.L. (2012). Total-factor Energy Efficiency for Regions in Taiwan. Journal of Energy Sources, Part B: Economics, Planning, and Policy, 7(3), 292-300.
Huang, C. J., Huang, T. H., Liu, N. H. (2014). A new approach to estimating the metafrontier production function based on a stochastic frontier framework. Journal of productivity Analysis, 42(3), 241-254.
Li, L.B., Hu, J.L. (2012). Ecological total-factor energy efficiency of regions in China. Energy Policy, 46, 216-224.
Koopmans, T. C. (Ed.). (1951). Activity analysis of production and allocation (No. 13). New York: Wiley.
Lee, C. C., & Chang, C. P. (2005). Structural breaks, energy consumption, and economic growth revisited: evidence from Taiwan. Energy Economics, 27(6), 857-872.
Murillo-Zamorano, L. R. (2004). Economic efficiency and frontier techniques. Journal of Economic Surveys, 18(1), 33−77.
O’Donnell, C. J., Rao, D. P., Battese, G. E. (2008). Metafrontier frameworks for the study of firm-level efficiencies and technology ratios. Empirical Economics, 34(2), 231-255.
Seiford, L. M., Zhu, J. (2002). Modeling undesirable factors in efficiency evaluation. European Journal of Operational Research, 142(1), 16-20.
Tone K. (2001). A slacks-based measure of efficiency in data envelopment analysis. European Journal of Operational Research, 130 (3), 498-509
Tone, K. (2003). Dealing with undesirable outputs in DEA: A slacks-based measure (SBM) approach. GRIPS Research Report Series.
Wang, S.M., Hu, J.L, Hsieh, C.H. (2010). An Environmental Kuznets Curve Study of the Relationship between Mobile Source Pollution and Air Quality in Taiwan, Agricultural and Resources Economics 7(1), 55-72.
Yang C. L., Lin, H. P., Chang, C. H. (2010). Linear and nonlinear causality between sectoral electricity consumption and economic growth: Evidence from Taiwan. Energy Policy, 38(11), 6570-6573.
Yang, H.Y. (2000). A note on the causal relationship between energy and GDP in Taiwan, Energy Economics, 22(3), 309–317.
Zhang, N., Kong, F., & Yu, Y. (2015). Measuring ecological total-factor energy efficiency incorporating regional heterogeneities in China. Ecological Indicators, 51, 165-172.
連結至畢業學校之論文網頁點我開啟連結
註: 此連結為研究生畢業學校所提供,不一定有電子全文可供下載,若連結有誤,請點選上方之〝勘誤回報〞功能,我們會盡快修正,謝謝!
QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top
系統版面圖檔 系統版面圖檔