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Optimal Taxation in an Endogenous Growth Model with Multiple Levels of Governments
引用本文:Chen Zhong Gong Liutang Zou Hengfu( School of Science of Jianghan Petroleum Institute,Wuhan 434023, Guanghua School of Management of Peking University,Beijing 100871, Institute for A dvanced Study of Wuhan University,Wuhan 430072). Optimal Taxation in an Endogenous Growth Model with Multiple Levels of Governments[J]. 中国科学基金(英文版), 2002, 0(2)
作者姓名:Chen Zhong Gong Liutang Zou Hengfu( School of Science of Jianghan Petroleum Institute  Wuhan 434023   Guanghua School of Management of Peking University  Beijing 100871   Institute for A dvanced Study of Wuhan University  Wuhan 430072)
作者单位:School of Science of Jianghan Petroleum Institute,Wuhan 434023; Guanghua School of Management of Peking University,Beijing 100871; Institute for A dvanced Study of Wuhan University,Wuhan 430072
摘    要:This paper presents a framework with federal income tax, federal transfer, and local taxes in an dynamic growth model with multiple levels of governments and public capital formation. It derives the rate of endogenous growth and, with both simulations and special examples, examines how the rate of endogenous growth changes with respect to federal income tax, local taxes, and federal transfers.


Optimal Taxation in an Endogenous Growth Model with Multiple Levels of Governments
Chen Zhong Gong Liutang Zou Hengfu. Optimal Taxation in an Endogenous Growth Model with Multiple Levels of Governments[J]. Science Foundation in China, 2002, 0(2)
Authors:Chen Zhong Gong Liutang Zou Hengfu
Abstract:This paper presents a framework with federal income tax, federal transfer, and local taxes in an dynamic growth model with multiple levels of governments and public capital formation. It derives the rate of endogenous growth and, with both simulations and special examples, examines how the rate of endogenous growth changes with respect to federal income tax, local taxes, and federal transfers.
Keywords:public capital formation   taxes   federal transfer   endogenous growth
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