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Title: | 風險與租稅對政府補貼, 消費者休閒與產業投資影響之研究 The Effect of Risk and Taxation on Government Subsidy, Consumer`s Leisure and Industry Investment |
Authors: | 潘聖潔 Pan, Sheng-Chieh |
Contributors: | 高俊雄 Kao, Chin-Hsung 潘聖潔 Pan, Sheng-Chieh |
Keywords: | 財源轉移 結構轉變 避險 報酬(或公司價值)不確定 跨期選擇模型 Fiscal Transfer Structural Break Hedging Return (or Corporate value) Uncertainty Intertemporal Choice Model |
Date: | 2008 |
Issue Date: | 2016-05-09 11:45:37 (UTC+8) |
Abstract: | 本研究共包含三篇論文,首先修正von Hagen and Hepp(2000)所建立模型分析政府的財源轉移之風險分散與重分配動態效果。整體而言,補助與協助收入或統籌分配款所產生的所得與稅收風險分散或重分配效果相當有限,且各分區(北、中、南與全區)的結論差異甚大,顯示財源轉移發揮的效率不足。統籌分配款對於改善稅收的風險分散與重分配上,效果優於補助與協助收入。各縣市取得的補助與協助收入或統籌分配款高於長期所得與稅收風險分散與重分配所應對應的額度,造成資源浪費。就全區而言,前幾期稅收(所得)風險分散變化,可作為短期調整補助與協助收入(統籌分配款)的依據;統籌分配款與稅收的風險分散、補助與協助收入或統籌分配款與稅收重分配均存在雙向因果關係。 其次,在分析勞動者的休閒時間選擇時,本文修正跨期選擇模型,考慮勞動者持有投資組合與採取避險措施,並面對租稅問題下,以導出休閒時間方程式。實證上採用混合估計法針對12種樣本產業及兩種不同休閒時間衡量方式進行估計,結果顯示不同休閒時間衡量方式,影響估計結果甚鉅;金融市場的變化與波動攸關休閒時間變動:國內外利率、匯率與遠期匯率等與投資組合報酬相關的變數,在多數情況下顯著地影響休閒時間變動,且各變數對於休閒時間的影響程度,在工業中的次級產業大於服務業中的次產業。此外,採行周休二日制度確實改變制度採行前後的休閒時間,惟在三個工業次產業上則不明顯。 最後,修正Bo and Sterken (2002) 所建立的最適動態模型,分析公司價值不確定與租稅措施對海運廠商投資的影響,經由最大化公司價值導出影響台灣海運公司投資的三種不確定來源與避險措施,並進行實證估計。實證結果顯示,不確定的衡量方式攸關投資函數的估計結果,以指數加權移動平均標準差衡量不確定時,其估計結果優於以GARCH(1,1)衡量不確定,隱含廠商較在乎可預期波動對投資的影響。一般而言,廠商利率與原油價格的波動增加,均不利於公司投資,其中以原油價格不確定對於投資的影響最大,其效果約略與廠商利率相當。其次,影響海運公司投資最重要的三項因素均分別為BDI、負債與廠商利率,顯示價格與債務規模的重要性更甚於利率。此外,三種公司價值不確定來源對投資的影響,在多數個別公司之間並無顯著的差異,有助於採行總體財金政策以刺激投資。 This dissertation contains three articles. First I revise the models set up by von Hagen and Hepp (2000) to analyze the dynamic effects of the Aid and Assistance and central government’s Tax Redistribution Fund on income (or tax) risk sharing and redistribution. For all the counties in Taiwan area the effects are tiny, but those are diverse among the counties in each Taiwan sub-area. The Aid and Assistance and central government’s Tax Redistribution Fund actually obtained by each county are larger than the amounts required to maintain long-term risk sharing and redistribution effects. These all imply that fiscal transfer is inefficiency. The effects of the central government’s Tax Redistribution Fund on risk sharing and redistribution are larger than those of Aid and Assistance. The central government can adjust the Aid and Assistance based on the change of earlier-period ax (income) risk sharing effect. Moreover, the existence of significant short-run interaction between the central government’s Tax Redistribution Fund and tax risk sharing, the Aid and Assistance and tax redistribution. Secondly, I revise intertemporal choice model by considering portfolio selection, hedging and taxation problems to derive economic agent’s leisure time equation. In empirical study, we focus on twelve sample industries and two different leisure time measurements, then adopt pooled estimation to estimate leisure time equation. Empirical results show that different measurement of leisure time influences estimation outcomes tremendously. Furthermore, the financial variables affecting portfolio return, including domestic and foreign interest rates, exchange rate and forward rate almost have remarkable effect on leisure time. Finally, the effect of each explanatory variable on leisure time is larger in industry than in service industry. Finally, I revise the optimal intertemporal model, constructed by Bo and Sterken (2002), by maximizing corporate value to derive three uncertainty sources and hedging influencing shipping-firm investment. Empirical evidences show that it is relevant for the estimation results to adopt which methods to measure the uncertainty. The outcomes derived from taking the Exponential Weighted Moving Average model to measure uncertainty are better than those from adopting the GARCH(1,1) model. Generally, as the volatilities in firm’s interest rate and crude oil price increase, firm investment decreases and the effect of crude oil price uncertainty on investment, the largest among the four effects, is nearly equal to that of firm interest rate on investment. Furthermore, BDI, debt and firm interest rate are the most important variables influencing firm investment. Finally, the effects of three uncertainty sources on investment are almost indifferent among the ten shipping-firms. |
Reference: | 行政院主計處(2006),中華民國台灣地區家庭收支調查報告,1987年至 2005年。 行政院主計處(2005),93年臺灣地區社會發展趨勢調查-時間運用,行政 院主計處編印。 行政院財政部統計處稅制委員會(2006),中華民國賦稅統計年報,1987年 至2005年。 行政院勞工委員會(2008),96年勞工生活及就業狀況調查,行政院勞工委 員會編印。 臺灣省政府主計處(1999),臺灣省財政統計年報,1987年至1998年。 余守章(2002),統籌分配稅制度改進之研究:基於促進財政努力之觀點,中 山大學公共事務管理研究所碩士論文。 李博琛(2001),台灣省政府補助金對縣市公共支出之影響-捕蠅紙效果之驗 證 (1987-1998),台北大學財政研究所碩士論文。 李顯鋒(2002),中央統籌分配稅款分配制度改進之研究,財政部2001年委 託研究計畫。 洪東煒(2000),我國現行中央統籌分配稅制度問題之探討,中國稅務旬刊, 第1748期,第7至11頁。 倪安順、郭塗城(2002),台灣地區運輸部門產業關聯效果分析,運輸學刊, 第14卷第3期:1-23。 陳裴紋(1995),台灣股票市場報酬率與波動性預測之研究— ARCH family 模型之運用,國立台灣大學財務金融研究所碩士論文。 黃文真(1991),統籌分配稅款分配之研究,政治大學財政研究所碩士論文。 寇永夏(1989),海運業以貨幣組合降低匯率風險之探討,交通大學管理科學 研究所碩士論文。 劉豪聖(1999),中央與地方財政收支劃分及補助款與租稅努力之關係研究, 中山大學公共事務管理研究所碩士論文。 鄭瑞彬(1995),台灣與亞洲股市股票報酬之分析—GARCH 模型之應用,私 立逢甲大學經濟研究所碩士論文。 蔡玠施(1995),亞洲股市間動態波及效果之實證研究—GARCH模型之應用, 國立台灣大學財務金融研究所碩士論文。 魏 翔(2006),休閒時間與經濟效率―來自OECD國家的證據,南開經濟研 究,6,3-15。 Abel, A. (1983), “Optimal investment under uncertainty,” American Economic Review, 73(1), 228-233. Adrian, Y. H. O. (2007). “Optimal life-cycle portfolio choice with endogenous labor supply and time-varying investment opportunities,” An essay presented to The Department of Economics, Harvard College Cambridge, Massachusetts. Aiyagari, S. R. (1995), “Optimal capital income taxation with incomplete markets, borrowing constraints, and constant discounting,” Journal of Political Economy, 103(6), 1158-75. Aguiar, M and E. Hurst (2006), “Measuring trends in leisure: The allocation of time over five decades ,”Federal Reserve Bank of Boston, Working Paper, 06-20. Akausuta, K., and K. Leggate (2001), “Perception of foreign exchange rate risk in the shipping industry,” Maritime and Policy Management, 28, 235-250. Altonji, J. G. (1982), “The intertemporal substitution model of labor market fluctuations: An empirical analysis,” Review of Economic Studies, 59(5), 783-824. Angerer, X. and Pok-sang Lam (2005), “Income risk and portfolio choice: An empirical study,” (Revision Requested by the Journal of Finance) https://editorialexpress.com/cgi-bin/conference/ download.cgi?db_name=NASM2006&paper_id=594. Asdrubali, P. and S. Kim (1999), “Dynamic Risk Sharing in the United States and Europe,” Econometric Society World Congress, 1621, 2000 Contributed Papers. Asdrubali, P., Bent, S. and Y. Oved (1996), “Channels of Interstate Risk Sharing: United States 1963-1990,” Quarterly Journal of Economics, 111, 1081-1110. Atella, V., Atzeni, G. E. and P. Belvisi (2003), Investment and exchange rate uncertainty,” Journal of Policy Modeling, 25: 811-824. Athanasoulis, S. and E. van Wincoop (1998), “Risk Sharing Within the United States: What Have Financial Markets and Fiscal Federalism Accomplished?,” Research Paper, 9808, Federal Reserve Bank of New York. Atkeson, A. and T. Bayoumi (1993), “Do Private Capital Markets Insure Regional Risk? Evidence for the US and Europe,” Open Economies Review,4, 303-24. Baltagi, B. H. (1995), Econometric Analysis of Panel Data, John Wiley &. Sons. Basu, P. and S. Ghosh (1993), “Optimal saving under general changes in uncertainty: A non-expected utility maximizing approach,” Southern Economic Journal, 60, 119-127. Basu, P., Ghosh, S. and I. Kallianiotis (2001), ”Interest rate risk, labor supply and unemployment,” Economic Modelling, 18, 223-231. Bayoumi, T. and P. Masson (1995), “Fiscal Flows in the United States and Canada: Lessons for Monetary Union in Europe,” European Economic Review,39, 253-274. Becker, G. S. (1965), “A theory of the allocation of time ,”Economic Journal, 75, 493-517. Bo, H. and E. Sterken (2002), “Volatility of the interest rate, debt and firm investment: Dutch evidence,” Journal of Corporate Finance, 8, 179–193. Bo, H., and Z. Zhang (2002), “The impact of uncertainty on firm investment: evidence from machinery industry in Liaoning Province of China,” Economic Systems, 26, 335- 352. Bollerslev, T. (1986), “Generalized autoregressive conditional heteroscedasticity,” Journal of Econometrics, 31, 307-327. Bollerslev, T. (1987), “A conditional heteroskedastic time series model for speculative price and rate of return,” Review of Economics and Statistics, 9, 542-547. Boscaljon, B. (2004), “Time, wealth and human capital as determinants of asset allocation,” Financial Services Review, 13, 167–184. Boscaljon, B. (2005), “Maximizing retirement income and leisure time,” Journal of Financial Planning, 18(7), 46-53. Box, G. E. P. and G. M. Jenkins (1976), “Time series analysis, forecasting and control,” Holden-Day Inc. London. Buetter, T. (2002), “Fiscal Federalism and Interstate Risk Sharing: Empirical Evidence from Germany,” Economics Letters,74, 195-202. Calcagnini, G., and E. Saltari. (1999), “Real and financial uncertainty and investment decisions,” Journal of Macroeconomics, 22(3), 491-514. Campa, J., and L. Goldberg (1999), “Investment, pass- through and exchange rates: a cross-country comparison,” International Economic Review, 40, 287- 314. Carrion-i-Silvestre JL, Barrio-Castro TD and E. Lopez-Bazo (2005) “Breaking the panels: an application. to the GDP per capita,”.Econometrics Journal, 8, 159–175. Caruso, M. (2001), “Investment and the persistence of price uncertainty,” Research in Economics, 55, 189-217. Chen, M. K. and J. A. Chevalier (2007), “The taste for leisure, career choice, and the returns to education: Evidence from the medical field,” http://www.som.yale.edu/faculty/keith.chen/ Cvitanic, J., Goukasian, L. and F. Zapatero (2007), “Optimal risk taking with flexible income,” Management Science, 55, 1594-1603. Davis, S. J. and P. Willen (2000), “Using financial assets to hedge labor income risks: estimating the benefits,” Working paper, University of Chicago. Deceressin, J. (2002), “Regional Income Redistribution and Risk Sharing: How does Italy Compare in Europe?,” Journal of Public Economics,86, 287-306. Delors, J. (1989), “Regional Implications of Economic and Monetary Integration. in: committee for the Study of Economic and Monetary Union (ed.), Report on Economic and Monetary Union in the European Community. Luxembourg: Office for Official Publications of the EC. De Santis, G., and S. Imrohoroglu (1997), “Stock returns and volatility in emerging financial markets,” Journal of International Money and Finance, 16, 561-579. Dobbs, I. M. (1988), “Risk aversion, gambling and the labor -leisure choice,” Scottish Journal of Political Economy, 35 (2), 171–175. Domeij, D. and M. Flodén (2001), “The labor-supply elasticity and borrowing constraints: Why estimates are biased,” SSE/EFI Working Paper Series in Economics and Finance, 480. Engle, R. F. (1982), “Autoregressive conditional hetreoskedasticity with estimation of the variance of UK inflation,” Econometrics, 50, 987-1008. Engel, R. F. and C. W. J. Granger (1987), “Cointergration and Error Correction Presentation, Estimation and Test, ”Econometrica, 55(2), 251-273. Engle, R., and C. Mustafa (1992), “Implied ARCH models from options prices,” Journal of Econometrics, 52, 289- 311. Episcopos, A. (1995), “Evidence on the relationship between uncertainty and irreversible investment,” The Quarterly Review of Economics and Finance, 35(1), 41-52. Fugazza, C., Giofré, M. and G. Nicodano (2007), ” International diversification and labor income risk. CeRP Working Paper, 67/07. Goodhart, C. and S. Smith (1993), “Stabilization. In: EC, The Economics of Community Public Finance,” European Economy, Reports and Studies, 5, 417-455. Gronau, R. (1977), “Leisure, home production and work: the theory of the allocation of time revisited,” Journal of Political Economy, 85, 1099-1123. Guiso, L., Lappelli, T. and D. Terlizzese (1996) “Income risk, borrowing constraints, and portfolio choice,” American Economic Review, , 158-172. Hamish, L., Costas, M. and P. Luigi (2006).”Wage risk and employment risk over the life cycle,” IFS Working Papers W06/27, Institute for Fiscal Studies. Hartman, R. (1972), “The effects of price and cost uncertainty on investment,” Journal of Economic Theory, 5, 258-266. Hartwick, J. M. (2000), “Labor supply under wage uncertainty,” Economics Letters, 68, 319–325. Haushalter, G. D., Heron, R. A. and E. Lie (2002), “Price uncertainty and corporate value,” Journal of Corporate Finance, 8, 271-286. Henley, A., Carruth, A. and A. Dickerson (2003), “Industry- wide versus firm-specific uncertainty and investment: British company panel data evidence,” Economics Letters, 78, 87-92. Hsiao, C. (1986), “Analysis of Panel Data.” Cambridge, Cambridge University Press. Huggett, M. (1997), “The one-sector growth model with idiosyncratic shocks: Steady states and dynamics,” Journal of Monetary Economics, 39(3), 385-403. Hugo Ben´ýtez-Silva (2002), “Labor supply flexibility and portfolio choice: An empirical analysis,” SUNY-Stony Brook. http://www.mrrc.isr.umich.edu/publications/Papers/ pdf/wp056.pdf. Huizinga, J. (1993), “Inflation uncertainty, relative price uncertainty, and investment in U.S. manufacturing,” Journal of Money, Credit, and Banking, 25, 521-557. Im, K. S., Pesaran, M. H. and Y. Shin (2002), “Testing for unit roots in heterogeneous panels,” 9526 DAE Working Papers Amalgamated Series, University of Cambridge. Ito, T. and T. Kurosaki (2007), “Weather risk, wages in kind, and the off-farm labor supply of agricultural households in a developing country,” Hi-Stat Discussion Paper Series d07-226, Institute of Economic Research, Hitotsubashi University. Khayum, M. and Baffoe-Bonnie John (1994), “Intertemporal consumer behavior in developing countries,” Applied Economics, 26(8), 775-84. Kim, D., and S. Kon (1994), “Alternative models for the conditional heteroskedasticity of stock returns,” Journal of Business, 67(4), 563-598. Koutmos, G., Lee, U. and P. Theodossiou (1994), “Time- varying betas and volatility persistence in international stock markets,” Journal of Economics and Business, 46, 101-112. Lamoureux, C., and W. Lastrapes (1990), “Heteroskedasticity in stock return data: volume vs. GARCH effects,” Journal of Finance, 45, 221-229. Levhari, D. and T. N. Srinivasan (1969), “Optimal saving under uncertainty,” Review of Economic Studies, 36, 153-163. Loewenstein, G. and D. Prelec (1992), “Anomalies in intertemporal choice: Evidence and an interpretation,” Quarterly Journal of Economics, 107, 573–597. Marcet, A., Francesc, Obiols-Homs and P. Weil (2002), ” Incomplete markets, labor supply and capital accumulation,” Economics Working Papers, 659, Department of Economics and Business, Universitat Pompeu Fabra. Mélitz, J. and F. Zumer (2002), “Regional Redistribution and Stabilization by the Center in Canada, France, the UK and the US: A Reassessment and New Tests,” Journal of Public Economics, 86, 263-286. Mishra, A. K. and B. K. Goodwin (1998), “Income risk and allocation of labour time: an empirical investigation ,” Applied Economics, 30(12), 1549–1555. Nickell, S. J. (1978), The investment decision of firms. Cambridge Univ. press, Cambridge, UK. Nucci, F., and A. F. Pozzolo (2001), “Investment and the exchange rate: an analysis with firm-level panel data,” European Economic Review, 45, 259-283. Obstfeld, M. and G. Peri (1998), “Regional Non-Adjustment and Fiscal Policy,” Economic Policy and NBER Working Paper,6431. Parker, S. R. (1971), The Future of Work and Leisure, New York: Praeger. Parker, S. R., Belghitar, Y. and T. Barmby (2005), “Wage uncertainty and the labour supply of self-employed workers,” The Economic Journal, 115(502), C190-C207. Pedroni, P. (2004), “Panel cointegration: Asymptotic and finite sample properties of pooled time series tests with an application to the PPP hypothesis,” 20 Econometric Theory, 20, 579-625. Sala-i-Martin, X. and J. Sachs (1991), “Fiscal Federalism and Optimum Currency Areas: Evidence for Europe from the United States,” NBER Working Paper, 3855. Selden, L. (1978), “A new representation of preferences over certain-uncertain consumption pairs: The ordinal certainty equivalent hypothesis,” Econometrica, 46, 1045-1060. Selden, L. (1979), “An OCE analysis of the effect of uncertainty on saving under risk independence,” The Review of Economic Studies, 46, 73-82. Smith, C. W., and R. M. Stulz (1985), “The determinant of firms’ hedging policies,” Journal of Financial and Quantitative Analysis, 20, 391-405. van Wincoop, E.(1995), “Regional Risk Sharing,” European Economic Review,39, 1545-68. von Hagen, J.(1992), “Fiscal Arrangements in a Monetary Union - Some Evidence from the US.” in: Don Fair and Christian de Boissieux (eds.), Fiscal Policy, Taxes, and the Financial System in an Increasingly Integrated Europe Deventer: Kluwer Academic Publishers. von Hagen, J. and R. Hepp (2000), “Regional Risk Sharing and Redistribution in the German Federation,” ZEI Working Paper, B00-15. von Wijnbergen, S. V. (1992), “Trade reform, policy uncertainty, and the current account: A non-expected utility approach,” American Economic Review, 82, 626- 633. Weil, P. (1990), “Non-expected utility in macroeconomics, ” The quarterly Journal of Economics, 105, 29-42. Westerlund, J.(2006), "Testing for Panel Cointegration with Multiple Structural Breaks," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, 68(1), 101-132. http://law.moj.gov.tw/Scripts/Newsdetail.asp? NO=1G0320020. |
Description: | 博士 國立政治大學 財政學系 92255505 |
Source URI: | http://thesis.lib.nccu.edu.tw/record/#G0922555051 |
Data Type: | thesis |
Appears in Collections: | [財務管理學系] 學位論文
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