學術產出-學位論文

題名 The Granger Causality between Economic Growth and Income Inequality in Post-Reform China
改革後中國之所得不均等與經濟成長之間的Granger因果關係
作者 蔣村逢
Chiang, Tsun-Feng
貢獻者 黃智聰
Huang, Jr-Tsung
蔣村逢
Chiang, Tsun-Feng
關鍵詞 Granger因果檢定
不平等
中國
向量自迴歸
China
Granger-Causality
inequality
VAR
日期 2003
上傳時間 17-九月-2009 18:01:11 (UTC+8)
摘要 自從中國實施經濟改革之後,其經濟快速成長。從1978到2002年之間,中國的年平均成長率為8.07﹪。但同時期,中國的不平等卻顯示不同的變動趨勢。在1980年代,經濟改革似乎同時促進經濟成長與不平等程度的下降。然而1990年代之後,不平等卻呈現向上爬升的趨勢。本論文的研究目的,即是探討改革後,中國經濟成長與不平等間的因果關係。
根據之前的文獻,經濟成長和不平等之間可能相互影響,但影響方向卻不確定。本論文研究方法採用Granger因果檢定,估計成長與分配的因果關係以及影響方向。本研究採用Toda and Yamamoto (1995)所提出的向量自迴歸程序,對Granger因果模型進行卡方檢定的統計推論。Toda和Yamamoto證明,研究者能夠估計一個k+dmax階的向量自迴歸模型,其中dmax是時間數列變數最大整合階數,k為落差期數。然而,進行統計推論時,研究者只需利用卡方統計量檢驗前k階的迴歸係數是否顯著,而不需檢驗最後的dmax階迴歸係數。利用此研究方法,本論文發現以下結果:一、經濟成長會正面且顯著地影響不平等;二、不平等不會影響到經濟成長;三、實證結果是穩健的,其不因使用不同的所得不平等指數或落差期數而有所變化。
會產生第一種結果的主要原因,在於中央政府傾斜政策的實施。與先前文獻完全集中研究自由經濟或計畫經濟不同,中國經濟正處於轉型過程,可能是本研究不能發現所得不均等對經濟成長的主要因素。

本研究的政策意涵為,由於經濟持續增長,使得不均等的情況更加惡化。因此,中央政府應該取消向東部沿海傾斜的政策,並且增加對中西部地區進行投資的意願。但是,將資源投入在中西部,使得到的收益遠遠小於投入在東部者。因此為了促進持續經濟成長,不建議採取某些能迅速降低不平等的政策,例如財政移轉。
Ever since economic reform has been carried out in China, its economic growth rate has been remarkable. Its annual growth rate of per capita GDP was about 8.07% for the period 1978-2002, but its income inequality level presented a different moving trend during this time. In the 1980s, it seemed that economic reform decreased this inequality successfully, but the situation of income distribution started to deteriorate beginning in 1990. The purpose of this study is to research if the relationship between economic growth and inequality exists in post-reform China.
According to previous literature, economic growth and inequality can influence each other, but their influential directions are uncertain. This study adopts the Granger-causality test as a methodology to estimate their relationship and influential directions. This study tests Granger-Causality with the chi-square statistic, which was proposed by Toda and Yamamoto (1995). They wrote that researchers could estimate a (k+dmax)th-order VAR where dmax is the maximal order of integration. Only the first k coefficients have to be jointly tested with the chi-square statistic, and the last dmax coefficients are ignored. This study finds the following results: (i) growth positively influences inequality; (ii) inequality does not influence growth; and (iii) the results are sturdy no matter what inequality index or what lag lengths are used in the empirical test.

The result (i) can be attributed to the biased central government policy. Differencing from previous studies, which focused on democratic or undemocratic economies, this study researches a transitional economy. It could be the reason why this study finds no evidence of the effect of inequality on growth.
The policy implications of this study are that China’s government has to give up biased policies and increase the incentives of investing in inland regions. Besides, in order to promote sustainable economic growth, some policies like fiscal transfers, which can reduce inequality quickly, are not recommended.
參考文獻 Ahluwalia, M. (1976), “Inequality, Poverty and Development.” Journal of Development Economics, 3, 307-342.
Alesina, A. and R. Perotti (1994), “The Political Economy of Growth: A Critical Survey of the Recent Literature.” World Bank Economic Review, 8(3), 351-371.
Alesina, A. and R. Perotti (1996), “Income Distribution, Political Instability, and Investment.” European Economic Review, 40(6), 1203-1228.
Barro, R. (1999), “Inequality, Growth, and Investment.” NBER Working Paper, No.7038.
Broadman, Harry G. and Xiaolun Sun (1997), “The Distribution of Foreign Direct Investment in China.” World Economy, 20(3), 339-361.
Cai, Fang, Dewen Wang and Yang Du (2002), “Regional Disparity and Economic Growth in China: The Impact of Labor Market Distributions.” China Economic Review, 13, 197-212.
Chang, Gene H. (2002), “The Cause and Cure of China’s Widening Income Disparity.” China Economic Review, 13, 335-340.
Chen, J. and B. Fleisher (1996), “Regional Income Inequality and Economic Growth in China.” Journal of Comparative Economics, 22, 141-164.
Clarke, G. (1995), “More Evidence on Income Distribution and Growth.” Journal of Development Economics, 47(2), 403-427.
Deininger, Klaus and Lyn Squire (1998), “New Ways of Looking at Old Issues: Inequality and Growth.” Journal of Development Economics, 57, 259-287.
Dickey, David and Wayne Fuller (1979), “Distribution of the Estimators for Autoregressive Time Series with a Unit Root.” Journal of the American Statistical Association, 74, 427-31.
Dickey, David and Wayne Fuller (1981), “Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root.” Econometrica, 49, 1057-1072.
Enders, Walter (2004), Applied Econometric Time Series, 2nd Edition, Massachusetts: John Wiley & Sons.
Forbes, K. (2000), “A Reassessment of the Relationship between Inequality and Growth.” American Economic Review, 90(4), 869-887.
Friedman, Benjamin and Kenneth Kuttner (1992), “Money, Income, Prices, and Interest Rates.” American Economic Review, 82, 472-492.
Galor, O. and J. Zeira (1993), “Income Distribution and Macroeconomics.” Review of Economic Studies, 60(1), 35-52.
Granger, Clive (1969), “Investigating Causal Relations by Econometric Models and Cross-Spectral Methods.” Econometrica, 37, 424-438.
Gujarati, D. (1995), Basic Econometrics, 3rd Edition, New York: McGraw-Hill.
Herrmann-Pillath, Carsten, Daniel Kirchert and Jiancheng Pan (2002), “Disparities in Chinese Economic Development: Approaches on Different Levels of Aggregation.” Economic Systems, 26, 31-54.
Huang, J-T, A-P Kao and C-C Kuo (2003), “The Inequality of Regional Economic Development in China between 1991 and 2001.” Journal of Chinese Economic and Business Studies, 1(3), 273-285.
Huang, J-T and A-P Kao (2003), “Labor Force Participation and Juvenile Delinquency in Taiwan-A Time Series Analysis,” WEA International`s Pacific Rim Conference, the Institute of Economics, Academia Sinica, January 9-12, 2003.
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描述 碩士
國立政治大學
東亞研究所
91260004
92
資料來源 http://thesis.lib.nccu.edu.tw/record/#G0091260004
資料類型 thesis
dc.contributor.advisor 黃智聰zh_TW
dc.contributor.advisor Huang, Jr-Tsungen_US
dc.contributor.author (作者) 蔣村逢zh_TW
dc.contributor.author (作者) Chiang, Tsun-Fengen_US
dc.creator (作者) 蔣村逢zh_TW
dc.creator (作者) Chiang, Tsun-Fengen_US
dc.date (日期) 2003en_US
dc.date.accessioned 17-九月-2009 18:01:11 (UTC+8)-
dc.date.available 17-九月-2009 18:01:11 (UTC+8)-
dc.date.issued (上傳時間) 17-九月-2009 18:01:11 (UTC+8)-
dc.identifier (其他 識別碼) G0091260004en_US
dc.identifier.uri (URI) https://nccur.lib.nccu.edu.tw/handle/140.119/33739-
dc.description (描述) 碩士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 東亞研究所zh_TW
dc.description (描述) 91260004zh_TW
dc.description (描述) 92zh_TW
dc.description.abstract (摘要) 自從中國實施經濟改革之後,其經濟快速成長。從1978到2002年之間,中國的年平均成長率為8.07﹪。但同時期,中國的不平等卻顯示不同的變動趨勢。在1980年代,經濟改革似乎同時促進經濟成長與不平等程度的下降。然而1990年代之後,不平等卻呈現向上爬升的趨勢。本論文的研究目的,即是探討改革後,中國經濟成長與不平等間的因果關係。
根據之前的文獻,經濟成長和不平等之間可能相互影響,但影響方向卻不確定。本論文研究方法採用Granger因果檢定,估計成長與分配的因果關係以及影響方向。本研究採用Toda and Yamamoto (1995)所提出的向量自迴歸程序,對Granger因果模型進行卡方檢定的統計推論。Toda和Yamamoto證明,研究者能夠估計一個k+dmax階的向量自迴歸模型,其中dmax是時間數列變數最大整合階數,k為落差期數。然而,進行統計推論時,研究者只需利用卡方統計量檢驗前k階的迴歸係數是否顯著,而不需檢驗最後的dmax階迴歸係數。利用此研究方法,本論文發現以下結果:一、經濟成長會正面且顯著地影響不平等;二、不平等不會影響到經濟成長;三、實證結果是穩健的,其不因使用不同的所得不平等指數或落差期數而有所變化。
會產生第一種結果的主要原因,在於中央政府傾斜政策的實施。與先前文獻完全集中研究自由經濟或計畫經濟不同,中國經濟正處於轉型過程,可能是本研究不能發現所得不均等對經濟成長的主要因素。

本研究的政策意涵為,由於經濟持續增長,使得不均等的情況更加惡化。因此,中央政府應該取消向東部沿海傾斜的政策,並且增加對中西部地區進行投資的意願。但是,將資源投入在中西部,使得到的收益遠遠小於投入在東部者。因此為了促進持續經濟成長,不建議採取某些能迅速降低不平等的政策,例如財政移轉。
zh_TW
dc.description.abstract (摘要) Ever since economic reform has been carried out in China, its economic growth rate has been remarkable. Its annual growth rate of per capita GDP was about 8.07% for the period 1978-2002, but its income inequality level presented a different moving trend during this time. In the 1980s, it seemed that economic reform decreased this inequality successfully, but the situation of income distribution started to deteriorate beginning in 1990. The purpose of this study is to research if the relationship between economic growth and inequality exists in post-reform China.
According to previous literature, economic growth and inequality can influence each other, but their influential directions are uncertain. This study adopts the Granger-causality test as a methodology to estimate their relationship and influential directions. This study tests Granger-Causality with the chi-square statistic, which was proposed by Toda and Yamamoto (1995). They wrote that researchers could estimate a (k+dmax)th-order VAR where dmax is the maximal order of integration. Only the first k coefficients have to be jointly tested with the chi-square statistic, and the last dmax coefficients are ignored. This study finds the following results: (i) growth positively influences inequality; (ii) inequality does not influence growth; and (iii) the results are sturdy no matter what inequality index or what lag lengths are used in the empirical test.

The result (i) can be attributed to the biased central government policy. Differencing from previous studies, which focused on democratic or undemocratic economies, this study researches a transitional economy. It could be the reason why this study finds no evidence of the effect of inequality on growth.
The policy implications of this study are that China’s government has to give up biased policies and increase the incentives of investing in inland regions. Besides, in order to promote sustainable economic growth, some policies like fiscal transfers, which can reduce inequality quickly, are not recommended.
en_US
dc.description.tableofcontents CHAPTER 1. INTRODUCTION
1.1 Research Background and Purpose
1.2 Research Method and Restriction
1.3 Research Steps and Framework

CHAPTER 2. LITERATURE REVIEWS
2.1 The Effect of Growth on Inequality
2.2 The Effect of Inequality on Growth
2.3 The Situation of China’s Inequality

CHAPTER 3. RETROSPECTIVE OF ECONOMIC GROWTH AND
INEQUALITY IN POST-REFORM CHINA
3.1 Economic Growth for Period of 1978~2002
3.2 The Evolution of Income Inequality Level
3.3 Correlation Coefficient between Growth and Inequality

CHAPTER 4. METHODOLOGY
4.1 Traditional Granger-Causality Test
4.2 Toda and Yamamoto’s VAR Procedure
4.3 Empirical Model and Data Source

CHAPTER 5. EMPIRICAL RESULTS
5.1 Unit Root Test
5.2 Granger-Causality Test
5.3 Test of Robustness

CHAPTER 6. CONCLUSIONS AND IMPLICATIONS

APPENDIX

REFERENCES
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dc.language.iso en_US-
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0091260004en_US
dc.subject (關鍵詞) Granger因果檢定zh_TW
dc.subject (關鍵詞) 不平等zh_TW
dc.subject (關鍵詞) 中國zh_TW
dc.subject (關鍵詞) 向量自迴歸zh_TW
dc.subject (關鍵詞) Chinaen_US
dc.subject (關鍵詞) Granger-Causalityen_US
dc.subject (關鍵詞) inequalityen_US
dc.subject (關鍵詞) VARen_US
dc.title (題名) The Granger Causality between Economic Growth and Income Inequality in Post-Reform Chinazh_TW
dc.title (題名) 改革後中國之所得不均等與經濟成長之間的Granger因果關係zh_TW
dc.type (資料類型) thesisen
dc.relation.reference (參考文獻) Ahluwalia, M. (1976), “Inequality, Poverty and Development.” Journal of Development Economics, 3, 307-342.zh_TW
dc.relation.reference (參考文獻) Alesina, A. and R. Perotti (1994), “The Political Economy of Growth: A Critical Survey of the Recent Literature.” World Bank Economic Review, 8(3), 351-371.zh_TW
dc.relation.reference (參考文獻) Alesina, A. and R. Perotti (1996), “Income Distribution, Political Instability, and Investment.” European Economic Review, 40(6), 1203-1228.zh_TW
dc.relation.reference (參考文獻) Barro, R. (1999), “Inequality, Growth, and Investment.” NBER Working Paper, No.7038.zh_TW
dc.relation.reference (參考文獻) Broadman, Harry G. and Xiaolun Sun (1997), “The Distribution of Foreign Direct Investment in China.” World Economy, 20(3), 339-361.zh_TW
dc.relation.reference (參考文獻) Cai, Fang, Dewen Wang and Yang Du (2002), “Regional Disparity and Economic Growth in China: The Impact of Labor Market Distributions.” China Economic Review, 13, 197-212.zh_TW
dc.relation.reference (參考文獻) Chang, Gene H. (2002), “The Cause and Cure of China’s Widening Income Disparity.” China Economic Review, 13, 335-340.zh_TW
dc.relation.reference (參考文獻) Chen, J. and B. Fleisher (1996), “Regional Income Inequality and Economic Growth in China.” Journal of Comparative Economics, 22, 141-164.zh_TW
dc.relation.reference (參考文獻) Clarke, G. (1995), “More Evidence on Income Distribution and Growth.” Journal of Development Economics, 47(2), 403-427.zh_TW
dc.relation.reference (參考文獻) Deininger, Klaus and Lyn Squire (1998), “New Ways of Looking at Old Issues: Inequality and Growth.” Journal of Development Economics, 57, 259-287.zh_TW
dc.relation.reference (參考文獻) Dickey, David and Wayne Fuller (1979), “Distribution of the Estimators for Autoregressive Time Series with a Unit Root.” Journal of the American Statistical Association, 74, 427-31.zh_TW
dc.relation.reference (參考文獻) Dickey, David and Wayne Fuller (1981), “Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root.” Econometrica, 49, 1057-1072.zh_TW
dc.relation.reference (參考文獻) Enders, Walter (2004), Applied Econometric Time Series, 2nd Edition, Massachusetts: John Wiley & Sons.zh_TW
dc.relation.reference (參考文獻) Forbes, K. (2000), “A Reassessment of the Relationship between Inequality and Growth.” American Economic Review, 90(4), 869-887.zh_TW
dc.relation.reference (參考文獻) Friedman, Benjamin and Kenneth Kuttner (1992), “Money, Income, Prices, and Interest Rates.” American Economic Review, 82, 472-492.zh_TW
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