Theoretical and empirical analysis of the economic effects of corruption:Developing a method to measure"gray income"

2015 Fiscal Year Final Research Report

• Project/Area Number: 25380379
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Public finance/Public economy
• Research Institution: Kyoto Sangyo University
• Principal Investigator: CEN Zhiwei 京都産業大学, 経済学部, 教授 (30340433)
• Co-Investigator(Kenkyū-buntansha): DOI Junko 関西大学, 経済学部, 教授 (00367947) ; AOKI Yoshimasa 立命館大学, 経済学部, 准教授 (90572975)
• Co-Investigator(Renkei-kenkyūsha): HOSHINO Masashi 早稲田大学, 政治経済学術院, 助教 (80552299) ; HOKEN Hisatoshi アジア経済研究所, 独立行政法人日本貿易振興機構アジア経済研究所・その他部局等, 研究員 (90450527)
• Project Period (FY): 2013-04-01 – 2016-03-31
• Keywords: 灰色収入 / エンゲル係数法 / 10分位 / 5分位

Outline of Final Research Achievements

The purpose of this study is to construct a method to estimate gray income as a resultof corruption. We can summarize main results as follows. First of all, we theoretically pointed out the problem in Wang's (2007,2010) estimation method (Engel’s coefficient method), which is the leading study about measurement of gray income. Using this method we found out that we needed certain specific conditions to estimate gray income, we further noted that his method could not be applied to other data. Second, we made a new statistical method to overcome above the problem and estimate gray income using general data (CHIP2007). We found 1.9 billion yuan (41.0% of GDP) as aggregate estimated gray income. It is larger than Wang’s estimation value.

Free Research Field

マクロ経済学、公共経済学、中国経済