中国科技金融与区域经济发展的耦合关系研究

doi:10.13249/j.cnki.sgs.2020.05.009

Abstract

Abstract:

In recent years, along with China’s growing ambitions to construct an innovative country and to leading economic power, sci-tech finance is receiving more and more attentions and has become one of the most essential engines of national social and economic development. Investigating optimum pattern of coupling and coordination of sci-tech finance system and regional economic development system is important and beneficial to their mutual and chronic growth in both micro- and macroeconomy levels. On the one hand, sci-tech finance gives rise to economic development by scientific and technological innovation; On the other hand, sci-tech finance contributes to realize the improvement and to upgrade of industrial structure by allocating of various resources, thereby to promote regional economic development. Coupling approaches have also been widely used in studying relationships between sci-tech finance and sci-tech innovation as well as regional economic development. However, there are few studies focusing on the interaction between sci-tech finance system and regional economic development system. Most of current studies regard sci-tech finance as merely an affiliated product of economic development. In order to better elucidate relationshipd between sci-tech finance and regional economic development, the evaluation system of coupling sci-tech finance and regional economic growth was established in this study based on 30 provinces and cities in China from 2005 to 2015. Using grey relative analysis (GRA), correlation and coupling levels of each element of the two systems were quantitively assessed. Coupling and coupling-coordinating degree models were then established and sorted according to the coupling and coordinating types of sci-tech finance and economic development. Temporal and spatial coupling characteristics of the two systems were subsequently analyzed. Results indicated that correlations between sci-tech for finance and economic development ranged from medium to high level during the study period. Sci-tech talent and grant were the two important factors that significantly drove the economic development. It was also found that sci-tech finance highly depended on both import and export trade. Within the study period, the coupling system between sci-tech finance and regional economic development experienced three stages, which fluctuated increased from 2005 to 2008, continuously decreased from 2008 to 2011, and slowly increased from 2011 to 2015, respectively. The coupling and coordinating degree between sci-tech finance and economic development was at the initial stage and represented significant regional differences, with the ‘three step descending’ variation law of ‘coastal area -the Yangtze River Economic Belt-inland area’, and with the spatial pattern of high degree in eastern and central regions and low degree in western, southern and northern regions. Based on all results above, suggestions were finally presented in terms of further improving benign interaction of the coupling and coordination systems.

Key words: sci-tech finance, regional economic development, grey relative analysis, relative degree, coupling coordinating degree

CLC Number:

F830/F061.5

Zhang Zhiruo, Gu Guofeng. The Coupling Relationship Between Sci-tech Finance and Regional Economic Development in China[J].SCIENTIA GEOGRAPHICA SINICA, 2020, 40(5): 751-759.

Figures/Tables 6

Table 1

Table 2

Fig.1

Fig.2

Fig.3

Fig.4

References 21

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	指标类型	指标
区域经济发展G	经济水平G_A	地区生产总值G_A₁（0.061）、人均地区生产总值G_A₂（0.057）、GDP增长率G_A₃（0.051）、固定资产投资G_A₄（0.061）、社会消费品零售总额G_A₅（0.057）、居民消费水平G_A₆（0.068）
	经济结构G_B	第二产业/地区生产总值G_B₇（0.036）、第三产业/地区生产总值G_B₈（0.030）、人均工业总产值G_B₉（0.068）
	贸易结构G_C	进出口总额G_C₁₀（0.057）、实际利用外资额G_C₁₁（0.081）
	社会指标G_D	就业人数/总人口G_D₁₂ （0.046）、人均可支配收入G_D₁₃（0.084）、职工平均工资G_D₁₄（0.071）、居民消费价格指数G_D₁₅（0.031）
	可持续发展G_E	森林覆盖率G_E₁₆（0.073）、工业固体综合利用率G_E₁₇（0.067）
科技金融F	科技金融资源F_A	科技活动人员F_A₁（0.067）、研发机构数量F_A₂（0.048）
	科技金融经费F_B	财政科技拨款/财政支出F_B₃（0.082）、创新税收收入/科技经费支出F_B₄（0.060）、研发经费支出/地区生产总值F_B₅（0.057）、科技经费支出/地区生产总值F_B₆（0.046）、研发机构政府部门资金/科技经费支出F_B₇（0.070）
	科技金融融资F_C	金融机构贷款/科技经费支出F_C₈（0.070）、风险投资金额F_C₉（0.067）、风险投资机构数量F_C₁₀（0.071）
	科技金融产出F_D	技术市场成交金额/科技经费支出F_D₁₁（0.083）、科技论文数/科技经费支出F_D₁₂（0.076）、专利授权量/科技经费支出F_D₁₃（0.070）、高技术产业出口额/科技支出F_D₁₄（0.078）、新产品销售收入/主营业务收入F_D₁₅（0.076）

		F_A (0.73)			F_B (0.70)						F_C (0.68)				F_D (0.68)					F
		F_A₁	F_A₂		F_B₃	F_B₄	F_B₅	F_B₆	F_B₇		F_C₈	F_C₉	F_C₁₀		F_D₁₁	F_D₁₂	F_D₁₃	F_D₁₄	F_D₁₅	F
G_A (0.71)	G_A₁	0.85	0.80		0.77	0.73	0.70	0.76	0.67		0.67	0.69	0.68		0.70	0.63	0.69	0.77	0.73	0.72
	G_A₂	0.77	0.75		0.80	0.66	0.70	0.79	0.69		0.72	0.71	0.71		0.69	0.61	0.67	0.71	0.70	0.71
	G_A₃	0.70	0.67		0.70	0.66	0.62	0.70	0.62		0.69	0.63	0.64		0.62	0.61	0.77	0.70	0.69	0.67
	G_A₄	0.75	0.77		0.72	0.78	0.66	0.71	0.64		0.65	0.64	0.64		0.66	0.63	0.71	0.71	0.73	0.69
	G_A₅	0.84	0.80		0.77	0.74	0.71	0.76	0.68		0.67	0.69	0.69		0.70	0.63	0.69	0.76	0.72	0.72
	G_A₆	0.79	0.74		0.84	0.66	0.76	0.83	0.69		0.73	0.77	0.78		0.74	0.63	0.67	0.76	0.70	0.74
G_B (0.66)	G_B₇	0.50	0.51		0.50	0.60	0.42	0.46	0.50		0.50	0.42	0.42		0.47	0.54	0.56	0.50	0.59	0.50
	G_B₈	0.73	0.76		0.78		0.63	0.80	0.82		0.77	0.78			0.83	0.83	0.79		0.67	0.69	0.77	0.66	0.76
	G_B₉	0.82	0.74		0.78		0.69	0.69	0.78		0.66	0.68			0.70	0.70	0.68		0.63	0.68	0.73	0.70	0.71
G_C (0.73)	G_C₁₀	0.83	0.73		0.79	0.62	0.85	0.82	0.70		0.68	0.89	0.88		0.79	0.62	0.66	0.82	0.65	0.76
G_C (0.73)	G_C₁₁	0.85	0.75		0.80		0.70	0.70	0.76		0.63	0.65			0.69	0.69	0.71		0.60	0.67	0.74	0.75	0.71
G_D (0.71)	G_D₁₂	0.71	0.70	0.69	0.68	0.63	0.70	0.63	0.68	0.62	0.62	0.65	0.64	0.73	0.67	0.70	0.67
	G_D₁₃	0.82	0.76	0.85		0.63	0.80	0.85	0.72	0.75		0.82	0.82	0.76		0.62	0.67	0.79	0.70	0.76
	G_D₁₄	0.76	0.76	0.82		0.64	0.79	0.86	0.75	0.79		0.79	0.79	0.76		0.66	0.69	0.77	0.68	0.75
	G_D₁₅	0.68	0.72	0.69		0.69	0.61	0.72	0.66	0.70		0.62	0.63	0.67		0.67	0.72	0.66	0.69	0.68
G_E (0.62)	G_E₁₆	0.64	0.66	0.62	0.68	0.60	0.62	0.61	0.59	0.58	0.58	0.60	0.67	0.70	0.61	0.65	0.63
G_E (0.62)	G_E₁₇	0.63	0.65	0.65		0.66	0.55	0.60	0.60	0.64		0.54	0.54	0.57		0.60	0.69	0.62	0.69	0.61
	G	0.75	0.72	0.74	0.67	0.68	0.74	0.66	0.68	0.68	0.69	0.68	0.63	0.69	0.71	0.69	0.69

The Coupling Relationship Between Sci-tech Finance and Regional Economic Development in China

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