资源开发过程中腐败的发生及制度影响

doi:10.18402/resci.2020.02.05

Abstract

Abstract:

In this study, the relationship between natural resources and corruption is theoretically deduced and tested empirically with provincial data in China. Theoretical analysis shows that the particularities of natural resources and the inevitable resource benefits are the starting point of corruption in resource-rich regions, but corruption can only be caused by imperfect resource benefits management institutions and existence of discretion in natural resource management system. The specific mechanism is particularities-resource income-lack of benefits distribution mechanism-excess profits-economic rent-seeking-political rent-seeking-discretion-corruption. The empirical test quantifies the relationship between resource mining, institution quality, and corruption with 1998-2017 provincial average annual cross-sectional data and short panel data divided according to the political cycle. The results show three implications. Firstly natural resources development does not lead to corruption directly because the impact of resource development on corruption is small and insignificant. With the interaction terms of resources development and institution quality, the impact of resource development has become significant, but the direction is uncertain. That is there is a threshold for institution quality. If taking the average value of insitution quality of Chinese provinces from 1998 to 2017, the coefficients were significantly. As long as institution quality of regions are above the threshold, “resource corruption” in resource-rich regions can be avoided. In addition, institution quality is not a transmission channel of the resource curse. that is, the development of resources has not reduced institution quality and “cursed” regional development. Therefore, the key of corruption elimination in resource-rich regions is innovation and improvement of resource-related institutions.

Key words: natural resources, corruption, mechanism, institution quality, China

ZHAO Weiwei, BAI Yongxiu. Corruption in the exploitation of natural resources and effect of institution[J].Resources Science, 2020, 42(2): 251-261.

Figures/Tables 7

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References 22

[1]	徐国冲, 朱江华峰 . 腐败的测量方式与影响因素: 一个文献综述[J]. 公共管理与政策评论, 2019,8(3):85-96.
	[ Xu G C, Zhu J H F . The measurement and influencing factors of corruption: A literature review[J]. Public Administration and Policy Review, 2019,8(3):85-96.]
[2]	Mehlum H, Moene K, Torvik R . Institutions and the resource curse[J]. The Economic Journal, 2006,116(508):1-20.
[3]	Isham J M, Woolcock L P, Busby G . The varieties of resource experience: Natural resource export structures and the political economy of economic growth[J]. World Bank Economic Review, 2005,19(2):141-174.
[4]	Chichilnisky G . North-south trade and the global environment[J]. The American Economic Review, 1994,84(4):851-874.
[5]	Kolstad I, Soreide T . Corruption in natural resource management: Implications for policy makers[J]. Resources Policy, 2009,34(4):214-226.
[6]	Deacon R, Mueller B . Political Economy and Natural Resource Use[A]. Lopez R, Stiglita J. Initiative for Policy Dialogue: Environmental Economics[C]. Oxford: Oxford University Press, 2005.
[7]	Auty R M . Resource Abundance and Economic Development[M]. Oxford:Oxford University Press, 2001.
[8]	Torvik R . Learning by doing and the Dutch disease[J]. European Economic Review, 2001,45(2):285-306.
[9]	Krueger A O . The political economy of the rent-seeking society[J]. American Economic Review, 1974,64(3):291-303.
[10]	景普秋 . 基于矿产开发特殊性的收益分配机制研究[J]. 中国工业经济, 2010, ( 9):15-25.
	[ Jing P Q . A study on revenue distribution mechanism of mine exploitation based on particularities[J]. China Industrial Economics, 2010, ( 9):15-25.]
[11]	朱柏铭 . 公共经济学理论及应用[M]. 北京:高等教育出版社, 2018.
	[ Zhu B M . The Theory and Application of Public Economics[M]. Beijing:Higher Education Press, 2018.]
[12]	张跃进 . 腐败是政府垄断租金的函数: 兼论“发展-腐败悖论”[J]. 中国软科学, 2005, ( 6):74-82.
	[ Zhang Y J . Corruption is the function of the rent created by government monopoly of economy[J]. China Soft Science, 2005, ( 6):74-82.]
[13]	Becker G S . Crime and punishment: An economic approach[J]. Journal of Political Economy, 1968,76(2):169-217.
[14]	赵伟伟 . 相对资源诅咒理论及其在中国的实证研究[M]. 北京:中国经济出版社, 2012.
	[ Zhao W W . The Theory of Relative Resource Curse and Its Empirical Research in China[M]. Beijing:China Economic Publishing House, 2012.]
[15]	杨其静, 蔡正喆 . 腐败、反腐败与经济增长: 基于中国省级纪检监察机关信访执纪数据的再评估[J]. 经济体制与比较, 2016, ( 5):84-100.
	[ Yang Q J, Cai Z Z . Corruption, combating corruption and economic growth: A revaluation based on the data of China’s provincial commissions for discipline inspection[J]. Comparative Economic & Social Systems, 2016, ( 5):84-100.]
[16]	邓明, 魏后凯 . 自然资源禀赋与中国地方政府行为[J]. 经济学动态, 2016, ( 1):15-31.
	[ Deng M, Wei H K . Natural resource endowment and local government behavior in China[J]. Economic Perspectives, 2016, ( 1):15-31.]
[17]	Olken B A, Pande R . Corruption in developing countries[J]. Annual Review of Economics, 2012,4(1):479-509.
[18]	魏下海, 董志强, 金钊 . 腐败与企业生命力: 寻租和抽租影响开工率的经验研究[J]. 世界经济, 2015, ( 1):105-125.
	[ Wei X H, Dong Z Q, Jin Z . Corruption and corporate vitality: Empirical study of rent seeking and rent extraction in affecting capacity utilization rate[J]. The Journal of World Economy, 2015, ( 1):105-125.]
[19]	最高人民检察院编辑部. 中国检察年鉴[M]. 北京:中国检察出版社, 2014.
	[ Editorial Department of the Supreme People’s Procuratorate. Procuratorial Yearbook of China[M]. Beijing:China Procuratorial Press, 2014.]
[20]	刘启君 . 改革开放以来中国腐败状况实证分析[J]. 政治学研究, 2013, ( 6):39-51.
	[ Liu Q J . Empirical analysis of China’s corruption since reform and opening-up[J]. CASS Journal of Political Science, 2013, ( 6):39-51.]
[21]	Zhang X B, Li X, Fan S G , et al. Resource abundance and regional development in China[J]. Economics of Transition, 2007,16(1):7-29.
[22]	黄贤金 . 自然资源统一管理: 新时代、新特征、新趋向[J]. 资源科学, 2019,41(1):1-8.
	[ Huang X J . Unified management of natural resources: A new era, new characteristics, and new trend[J]. Resources Science, 2019,41(1):1-8.]

变量	变量含义	均值	标准差	最小值	最大值
C	年均职务犯罪立案人数/人,取对数	6.98	0.93	4.03	8.29
R	采矿业工业总产值/亿元,取对数	3.68	1.50	-1.43	5.67
IQ	国有固定资产投资占全社会固定资产投资总额比重	0.38	0.11	0.23	0.78
P	非国有单位从业人员占全部从业人员比例	0.40	0.14	0.09	0.65
AGDP	人均地区生产总值/亿元,取对数	9.90	0.46	9.20	10.89
O	进出口总额占地区生产总值比例	0.30	0.36	0.05	1.27
FD	地方财政收入占地方财政总支出比例	0.51	0.19	0.08	0.87
G	城镇单位政府机关就业人数/人,取对数	12.64	0.69	11.13	0.65
E	6岁以上人口中大专及以上人数/万人,取对数	6.6	0.46	5.43	7.97
Ccase	年均职务犯罪立案数/件	1221.46	833.59	52.87	3610.00
pr	2012年人均公关招待费/万元	0.27	0.12	0.09	0.51
petition	1994—2012年信访接待记录数/人	9.65	3.07	3.8	18.8

	回归1（C）	回归2（C）	回归3（C）	回归4（C）	回归5（Ccase）	回归6（Pr）	回归7（petition）
R	0.467 0.002***	0.392 0.000***	0.055 0.447	0.019 0.786	0.030 0.641	-0.061 0.551	-0.089 0.163
IQ		3.380 0.000***		1.968 0.043**	2.199 0.017**	-0.961 0.532	-8385 0.183
AGDP			-0.398 0.241	-0.324 0.305	-0.355 0.231	-1.553 0.022**	-0.066 0.751
P			-2.433 0.044**	-1.960 0.084*	-0.782 0.448	-0.999 0.544	0.390 0.594
O			-1.071 0.009***	-0.784 0.048**	-0.786 0.034**	-0.515 0.359	-0.355 0.168
FD			0.642 0.581	0.557 0.648	0.592 0.604	4.931 0.01***	0.164 0.84
G			0.958 0.000***	1.001 0.000***	0.933 0.000***	-0.138 0.535	-0.076 0.459
E			-0.358 0.106	-0.342 0.098*	-0.230 0.225	0.334 0.493	0.521 0.001**
Prob > F	0.002***	0.000***	0.000***	0.000***	0.000***	0.066*	0.000***
R²	0.569	0.729	0.916	0.931	0.912	0.456	0.735
回归方法	OLS+robust	OLS+robust	OLS	OLS	OLS	OLS	OLS
White test	0.000***	0.010***	0.415	0.415	0.415	0.414	0.415
VIF			6.710	7.120	7.120	7.720	7.120

因变量	回归1（C）	回归2（C）	回归3（Ccase）
R	0.062 0.325	0.016 0.783	-0.153 0.312
IQ		0.570 0.149	0.194 0.873
AGDP		-0.393 0.106	-0.194 0.473
P		-0.718 0.120	-0.636 0.328
O		-0.214 0.389	0.368 0.439
FD		0.015 0.966	0.337 0.354
G		0.008 0.895	0.052 0.481
E		-0.209 0.130	-0.007 0.951
Number of obs	101	101	94
Prob>F	0.000***	0.001***	0.090*
R²(组内)	0.453	0.374	0.425
Sigma_u	0.878	1.004	1.137
Sigma_e	0.176	1.172	0.325
rho	0.962	0.972	0.924
Test t1 t2 t3	0.000***	0.001*	0.318
Hausman test	0.001**	0.000***	0.000***

方程	因变量	R	AGDP	IQ	R×IQ	P	O	FD	G	E	Prob > F	R²	White test	VIF
式（2）	C	-0.339 0.048*	0.317 0.478	-5.018 0.004***	0.970 0.019**	-1.552 0.054*	-0.533 0.03**	1.326 0.231	1.026 0.000***	-0.249 0.447	0.000***	0.68	0.415	13.590
式（3）	IQ	0.019 0.320	0.037 0.598			-0.240 0.33	0.146 0.079*	0.609 0.02***	0.022 0.531	-0.008 0.856	0.000***	0.68	0.45	6.710

Corruption in the exploitation of natural resources and effect of institution

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