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系統識別號 U0002-2406201613272900
DOI 10.6846/TKU.2016.00785
論文名稱(中文) 運用MCDM法探討投資東南亞房地產考量因素與決策─以印尼、泰國、馬來西亞為例
論文名稱(英文) Using MCDM Method to Explore The Considerations and Decisions of Selecting Real Estate in Southeast Asia : A Case Study in Indonesia , Thailand and Malaysia
第三語言論文名稱
校院名稱 淡江大學
系所名稱(中文) 企業管理學系碩士班
系所名稱(英文) Department of Business Administration
外國學位學校名稱
外國學位學院名稱
外國學位研究所名稱
學年度 104
學期 2
出版年 105
研究生(中文) 劉于琳
研究生(英文) Yu-Ling LIU
學號 603610527
學位類別 碩士
語言別 繁體中文
第二語言別
口試日期 2016-06-01
論文頁數 69頁
口試委員 指導教授 - 李文雄(anso@mail.tku.edu.tw)
委員 - 邱靖博(chingpochiu@yahoo.com.tw)
委員 - 趙慕芬(cmf@mail.tku.edu.tw)
委員 - 李雅婷(yaya@mail.tku.edu.tw)
關鍵字(中) 國外房地產
投資
多準則決策
MCDM
DEMATEL
DANP
VIKOR
關鍵字(英) Foreign real estate
investment
MCDM
DEMATEL
DANP
VIKOR
第三語言關鍵字
學科別分類
中文摘要
2014年各國貨幣兌新台幣幾乎都升值,讓投資海外房產的民眾感覺到房價和匯率兩頭賺。近幾年政府積極平抑房價,將原本想投入國內房地產的資金導引至股市,但國內股市房市不振,使得海外投資房地產熱升溫。全球經濟重心從歐美東移至亞洲,其中以東協表現尤其亮眼,因此,本研究運用MCDM法對印尼、泰國、馬來西亞做投資因素考量與決策的探討。本研究採用的MCDM法能找出各項因素的相對關係,並計算出各項因子權重,找出最為關鍵的評選準則,並根據各項因子權重排列出投資方案的優劣順序,並做出最佳的決策,適用於需要考量各項因素的國外房地產投資評選決策,期望能透過此次研究,提升國外房地產投資的準確性。
	首先,由DEMATEL分析結果可知,「土地增值稅」具最大影響力,表示如需改善其他準則,可由此準則作為改善的主要考量,而「房地產市場風險」具最大關聯性,表示此項準則為專家學者認為較重要的評選準則;其次,運用DANP法進行權重分析,七項評選準則的權重依序為房地產市場風險、資本利得、國家安全程度、資本利得稅、政治風險、租金收入、土地增值稅;最後,運用VIKOR法進行投資評估,由分析結果可知,馬來西亞的總績效值6.618為三者中最高,同時也擁有最低的平均差距,專家學者認為馬來西亞相較於印尼及泰國更值得投資,為本研究得出之最佳選擇。
英文摘要
In 2014, almost all currencies against NT dollar appreciated, people who invest overseas real estate may have profit in both prices and exchange rates. In recent years, the Government actively stabilize housing prices, but the domestic stock market and real estate market are now in the doldrums, making investment in overseas real estate prosperity. The global center of economic gravity from Europe and America into Asia, particularly Association of Southeast Asian Nations (ASEAN). This study is based on using MCDM method to explore the considerations and decisions of selecting real estate in Indonesia, Thailand and Malaysia.
	MCDM method used in this study can find the relative relationship between the factors and calculate the weight of each factor, identify the key selection criteria, and arranged the investment advantages and disadvantages of the order which according to the weight of each factor, and make the best decision. This method applies to the considered foreign real estate investment selection decisions which need various factors. Through this study, we look forward to improve the accuracy of foreign real estate investment.
	First of all, " Land Value Increment Tax" is the most influential factor, the result was got by the DEMATEL analysis. If you need to improve other criteria, this criterion can be a major consideration. And "Real Estate Market Risk" has maximum relevance, which means experts and scholars consider the criterion is the most important selection criteria .Secondly, do weight analysis by DANP method, the seven criteria from high to low are Real Estate Market Risk, Capital Gains, National Security, Capital Gains Tax, Political Risk, Rental Income and Land Value Increment Tax. By using VIKOR method for investment evaluation, the results of this study shows the total performance values of Malaysia 6.618 is the highest value in this three country, which also has the lowest average gap. Scholars and experts believe that Malaysia is more worthy country to invest than Indonesia or Thailand, is the best choice for this study.
第三語言摘要
論文目次
目錄
目錄	I
表目錄	III
圖目錄	V

第一章 緒論	1
第一節 研究背景與動機	1
第二節 研究目的	4
第三節 研究流程	5
第四節 研究範圍與限制	7

第二章 文獻探討	8
第一節 房地產投資	8
第二節 選擇投資房地產主因子	10
第三節 選擇投資房地產次因子	13
第四節 印尼、泰國、馬來西亞投資背景	17

第三章 研究方法	22
第一節 研究架構與操作型定義	23
第二節 研究方法	26
第三節 問卷設計與資料來源	33

第四章 實證分析	34
第一節 一致性檢定	34
第二節 DEMATEL-評估各準則間關係	36
第三節 DANP-評估各準則權重	44
第四節 VIKOR-評選最佳決策	48
第五節 學術界及業界之評估準則排序	51

第五章 結論與建議	53
第一節 研究結論	53
第二節 未來研究建議	55
參考文獻	56
附錄	64

表目錄
表1-1 2014年交通部觀光局國人旅遊狀況調查	2
表2-1學者提出之考量因素次數整理表	11
表2-2學者提出之風險次因子	14
表2-3學者提出之報酬與稅收次因子	16
表2-4泰國房地產稅務表	20
表2-5馬來西亞房地產稅務表(幣別:馬來幣)	21
表4-1一致性分析結果	35
表4-2 A矩陣 直接影響關係矩陣	36
表4-3 D矩陣 正規化影響關係矩陣	37
表4-4 T矩陣 總影響關係矩陣	37
表4-5 T構面矩陣 構面關係矩陣	37
表4-6 各準則之影響度及被影響度	38
表4-7 各構面之影響度及被影響度	38
表4-8 風險構面評估準則數據	40
表4-9 報酬構面評估準則數據	41
表4-10 稅構面評估準則數據	42
表4-11 Unweighted矩陣 未加權超級矩陣	44
表4-12 Weighted矩陣 加權超級矩陣	44
表4-13 Limit矩陣 加權超級矩陣	45
表4-14 七項準則權重排序	45
表4-15 風險構面準則權重排序	46
表4-16 報酬構面準則權重排序	46
表4-17 稅構面準則權重排序	46
表4-18 構面間準則權重排序	47
表4-19 評選投資印尼、泰國、馬來西亞房地產各準則評分總和平均表	48
表4-20 總績效評估表	49
表4-21 學者與業者評選準則比較表	51

圖目錄
圖1-1研究流程圖	6
圖2-1國家統計比較圖	21
圖3-1研究架構	23
圖4-1構面因果邏輯關係圖	39
圖4-2風險構面下評估準則因果邏輯關係圖	40
圖4-3報酬構面下評估準則因果邏輯關係圖	41
圖4-4稅構面下評估準則因果邏輯關係圖	42
圖4-5所有評估準則因果邏輯關係圖	43
參考文獻
一、英文部分
1.Aleksandar Andonov,Piet Eichholtz,Nils Kok(2015)”Intermediated investment management in private markets: Evidence from pension fund investments in real estate“ Journal of Financial Markets Volume 22, Pages 73–103
2.Azizi,Ali, Malekmohammadi,Bahram, Jafari, Hamid Reza, Nasiri,Hossein, Amini Parsa,Vahid(2014)” Land suitability assessment for wind power plant site selection using ANP-DEMATEL in a GIS environment: case study of Ardabil province, Iran ”Environmental Monitoring and Assessment186.10,Pages 6695-709.
3.Brent C. Smith(2006)” The impact of tax increment finance districts on localized real estate: Evidence from Chicago’s multifamily markets” Journal of Housing Economics Volume 15, Issue 1, Pages 21–37
4.Brown, Roger, Young, Michael.(2011)” Coherent risk measures in real estate investment ”Journal of Property Investment & Finance29.4/5,Pages 479-493.
5.Cătălina,Cozmei , Muler,Onofrei, Elena Claudia Şerban(2014)” The Real Estate Behavior in Response to the Tax Vagaries” Procedia Economics and Finance Volume 15, Pages 1420–1427
6.Cătălina Cozmei, Muler Onofrei(2012)” Impact of Property Taxes on Commercial Real Estate Competition in Romania” Procedia Economics and Finance Volume 3, Pages 604–610
7.Chin, W , Dent, Peter, Roberts, C (2006)” An Exploratory Analysis of Barriers to Investment and Market Maturity in Southeast Asian Cities” Journal of Real Estate Portfolio Management12.1, Pages 49-57.
8.Çinar, Y .S (2013)” Kariyer Tercihi Probleminin Yapisal bir Modeli ve Riske Karsi Tutumlar: Olasilikli DEMATEL Yöntemi Temelli Bütünlesik bir Yaklasim/A Structural Model of Career Preference Problem and Attitudes Towards Risk: A Hybrid Approach based on Stochastic DEMATEL Method” Sosyoekonomi 1, Pages 157,159-185,366,368.
9.C-T Tsao.(2006)” A fuzzy MCDM approach for stock selection” The Journal of the Operational Research Society57.11, Pages 1341-1352.
10.Doling, John, Omar, Roziah(2012)” Home Ownership and Pensions in East Asia: The Case of Malaysia” Journal of Population Ageing5.1,Pages 67-85.
11.Eddie C.M. Hui, Cong Liang(2015)” The spatial clustering investment behavior in housing markets” Land Use Policy Volume 42, Pages 7–16
12.Eddie C.M. Hui,Ka Kwan Kevin Chan(2014)” Foreign direct investment in China's real estate market” Habitat International Volume 43, Pages 231–239
13.Eric C.Y. Ng(2015)” Housing market dynamics in China: Findings from an estimated DSGE model” Journal of Housing Economics Volume 29, Pages 26–40
14.George W. Gau and Ko Wang(1990)” Capital Structure Decisions in Real Estate Investment”Real Estate Economicsvol. 18, issue 4, Pages 501-521
15.Ghobadi, Mohsen, Torabi, Mitra(2015)” Investment rankings based on technical analysis by Fuzzy MCDM in Tehran stock exchange” Business And Economics,Pages 117-129.
16.Guglielmo Maria Caporale, Ricardo M. Sousa(2015)” Consumption, wealth, stock and housing returns: Evidence from emerging markets” Research in International Business and Finance Available online 
17.Guglielmo Maria Caporale, Ricardo M. Sousa(2015)” Consumption, wealth, stock and housing returns: Evidence from emerging markets” Research in International Business and Finance Available online 
18.He, Canfei, Wang, Junsong, Cheng, Shaoming.(2011)” What attracts foreign direct investment in China's real estate development?” The Annals of Regional Science46.2,Pages 267-293.
19.Hiete Michael, Merz Mirjam; Comes Tina, Schultmann Frank(2012)” Trapezoidal fuzzy DEMATEL method to analyze and correct for relations between variables in a composite indicator for disaster resilience” OR Spectrum34.4,Pages 971-995
20.Hon-Chung, Hui.(2010)” House price diffusions across three urban areas in Malaysia” International Journal of Housing Markets and Analysis3.4,Pages 369-379.
21.Hui Shan(2011)” The effect of capital gains taxation on home sales: Evidence from the Taxpayer Relief Act of 1997” Journal of Public Economics Volume 95, Issues 1–2, Pages 177–188
22.Ibrahim, Mansor H(2010)” House price-stock price relations in Thailand: an empirical analysis” International Journal of Housing Markets and Analysis3.1,Pages 69-82.
23.Jing Wu,Joseph Gyourko,Yongheng Deng(2015)” Real estate collateral value and investment: The case of China” Journal of Urban Economics Volume 86, Pages 43–53
24.Karahan, Hatice.(2013)” How to Design Nationally Strategic R&D Plans? Employing a MCDM Model” International Journal of Economic Perspectives7.3 , Pages 5-13.
25.K, Manoj P.(2014)” REAL ESTATE INVESTMENT TRUSTS (REITs) IN INDIA: RELEVANCE AND SIGNIFICANCE IN EMERGING SCENARIO” International Journal of Trade & Global Business Perspectives3.2,Pages 945-954.
26.Kwame Addae-Dapaah Wilfred Tan Yong Hwee(2009)” The unsung impact of currency risk on the performance of international real property investment” Review of Financial Economics Volume 18, Issue 1, Pages 56–65
27.Laura Diaconu (2014)” The Foreign Direct Investments in South-East Asia in the Context of the 1997 and 2007 Crises “ Procedia Social and Behavioral SciencesVolume 109, Pages 160-164
28.Lawrence B. Smith(1991)” Implications of the canadian goods and services tax for real estate markets” Journal of Housing Economics Volume 1, Issue 1, Pages 75–89
29.Lean, Hooi Hooi, Smyth, Russell(2012)” REITS, INTEREST RATES AND STOCK PRICES IN MALAYSIA” International Journal of Business and Society13.1, Pages 49-62.
30.Le, Thai-Ha(2015)” Do Soaring Global Oil Prices Heat up the Housing Market? Evidence from Malaysia” Economics9.27,Page 1-30A.
31.Lieser, Karsten, Groh, Alexander Peter.(2014)” The Determinants of International Commercial Real Estate Investment” Journal of Real Estate Finance and Economics48.4: Pages 611-659.
32.Liming Hong(2014) ” The Dynamic Relationship between Real Estate Investment and Economic Growth: Evidence from Prefecture City Panel Data in China“IERI Procedia Volume 7, Pages 2-7
33.Lin, Wan-Rung.(2014)” The MCDM Approach for Evaluating Mobile Banking System Service: A Study of the Cross-industries Integration Perspective” Journal of Accounting, Finance & Management Strategy9.2, Pages 107-138.
34.Liu, Crocker,  Liu, Peng(2013)” Is What's Bad for the Goose (Tenant), Bad for the Gander (Landlord)? A Retail Real Estate Perspective” The Journal of Real Estate Research35.3, Pages 249-282. 
35.Luca Cocconcelli , Francesca Romana Medda(2013)” Boom and bust in the Estonian real estate market and the role of land tax as a buffer” Land Use Policy Volume 30, Issue 1, Pages 392–400
36.Martijn I. Dröes Wolter H.J. Hassink(2013)” House price risk and the hedging benefits of home ownership” Journal of Housing Economics Volume 22, Issue 2, Pages 92–99
37.Mehregan, Mohammad Reza, Razavi, Seyed Mostafa, Anvari, Mohammad Reza Akhavan(2012)” Identification and Evaluation of Strategic Decisions in Gas Industry Using DEMATEL Method” Iranian Journal of Management Studies5.2, Pages 49-65A.
38.M.W. Luke Chan ,Keqiang Hou,Xing Li, Dean C. Mountain(2014)” Foreign direct investment and its determinants: A regional panel causality analysis” The Quarterly Review of Economics and Finance Volume 54, Issue 4, Pages 579–589
39.Muler Onofrei, Ion Anghel(2012)”Risks and Rewards of Leverage in Romanian Real Estate Investment” Procedia Economics and Finance Volume 3, Pages 481–488
40.Opricovic, S.(1994).”Preference stability of compromise solution in multiple decision making.XI-th” International Conference on Multiple Criteria Decision Making Coimbra,Portugal
41.Opricovic, S.,Tzeng, G. H.(2004).”Compromise solution by MSDM methods: a comparative analysis of VIKOR and TOPSIS.”European Journal of Operational Research, Pages 156,445-455.
42.Ossama Kettani, Muhittin Oral(2015)” Designing and implementing a real estate appraisal system: The case of Québec Province, Canada” Socio-Economic Planning Sciences Volume 49, Pages 1–9
43.Ou Yang, Shieh, Leu and Tzeng(2008)” A Novel Hybrid MCDM Model Combined with DEMATEL and ANP with Applications” IJOR Vol. 5, No. 3, Pages 160-168 
44.Ping Cheng ,Zhenguo Lin Yingchun Liu(2010)” Illiquidity, transaction cost, and optimal holding period for real estate: Theory and application” Journal of Housing Economics Volume 19, Issue 2, Pages 109–118
45.Robert .E Markland(1979)”A simulation to real estate investment analysis”Computers&Operations Research Volume 6 ,Issue 3,Pages 121-128
46.Rodríguez, Carlos, Bustillo, Ricardo(2010)” Modelling Foreign Real Estate Investment: The Spanish Case” Journal of Real Estate Finance and Economics 41.3 ,Pages 354-367.
47.Thanh Bao Nguyen,D. Ary A. Samsura(2014)” Commercial real estate investment in Ho Chi Minh City – A level playing field for foreign and domestic investors?” Habitat International Volume 44, Pages 412–421
48.W-h, Tsai, W-c, Chou, W, Hsu (2009)” The sustainability balanced scorecard as a framework for selecting socially responsible investment: an effective MCDM model” The Journal of the Operational Research Society60.10, Pages 1396-1410.
49.Ming-lang, Tseng (2009)” Application of ANP and DEMATEL to evaluate the decision-making of municipal solid waste management in Metro Manila” Environmental Monitoring and Assessment156.1-4 , Pages 181-97.
50.Vahida Zujo Diana Car-Pusic, Valentina Zileska-Pancovska(2014)” Cost and Experience based Real Estate Estimation Model” Procedia - Social and Behavioral Sciences Volume 119, 19, Pages 672–681
51.W.K. Wang(2005)” A knowledge-based decision support system for measuring the performance of government real estate investment” Expert Systems with Applications Volume 29, Issue 4, Pages 901–912
52.Worzala, Elaine, Newell, Graeme(1997)” International real estate: A review of strategic investment issues” Journal of Real Estate Portfolio Management3.2: Pages 87-96.
53.Xian Zheng, , K.W. Chau, Eddie, C.M. Hui(2015)” Liquidity risk and cross-sectional return in the housing market” Habitat International Volume 49, Pages 426–434
54.Chun-Kai,Yang, Bing-Jean, Lee, Tsu-Chiang, Lei (2014)” Assessing the Influential Factors of Fire Rescue Using DEMATEL Method” International Journal of Innovation, Management and Technology5.4, Pages 239-243.
55.Yihua Mao,Wenjing Wu(2011)” Fuzzy Real Option Evaluation of Real Estate Project Based on Risk Analysis” Systems Engineering Procedia Volume 1, Pages 228–235
56.Zaichao Du,Lin Zhang(2015)” Home-purchase restriction, property tax and housing price in China: A counterfactual analysis” Journal of Econometrics Volume 188, Issue 2, Pages 558–568
57.ML, Zhang , Wp, Yang (2012)” Fuzzy Comprehensive Evaluation Method Applied in the Real Estate Investment Risks Research” Physics Procedia Volume 24, Part C, Pages 1815–1821
二、中文部分
1.殷志勤(2014)”台北市房地產投資之商業模式與成長策略探析”台灣大學EMBA境外專班碩士論文
2.溫忠譽(2011)”高雄開發商對土地競標價格綜合考量因素之研究” 國立高雄大學都市發展與建築研究所碩士論文
3.Global Property Guide 世界房地產指南
4.前進東協拓展新興市場:台灣金融業新商機
5.Million Investmet Club 百萬投資俱樂部
6.行政院財政部網站
7.行政院交通部觀光局 2014國人旅遊狀態調查報告書
8.泰國央行(BOT)
9.Linux 技術資源站
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