A study on the coupling degree of sci-tech finance and its influencing factors in the Guangdong-Hong Kong-Macao Greater Bay Area

Rui FENG; Boyang GAO; Yuchun CHEN; Tingting ZHANG

doi:10.11821/dlyj020200623

Journals >Geographical Research >Volume 39 >Issue 9 >Page 1972 > Article

Geographical Research
Vol. 39, Issue 9, 1972 (2020)

A study on the coupling degree of sci-tech finance and its influencing factors in the Guangdong-Hong Kong-Macao Greater Bay Area

Rui FENG¹, Boyang GAO^2,*, Yuchun CHEN¹, and Tingting ZHANG²

Author Affiliations

¹School of Economics and Statistics, Guangzhou University, Guangzhou 510006, China

²School of Management Science and Engineering, Central University of Finance and Economics, Beijing 100081, China

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DOI: 10.11821/dlyj020200623 Cite this Article

Rui FENG, Boyang GAO, Yuchun CHEN, Tingting ZHANG. A study on the coupling degree of sci-tech finance and its influencing factors in the Guangdong-Hong Kong-Macao Greater Bay Area[J]. Geographical Research, 2020, 39(9): 1972 Copy Citation Text

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Fig. 1. R&D in the Guangdong-Hong Kong-Macao Greater Bay Area in 2018

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Fig. 2. Financial expenditure on science and technology in the Guangdong-Hong Kong-Macao Greater Bay Area from 2009 to 2018

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Fig. 3. Patent authorization in the Guangdong-Hong Kong-Macao Greater Bay Area from 2009 to 2018

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Fig. 4. Coupling coordination of technology and finance in the Guangdong-Hong Kong-Macao Greater Bay Area

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Fig. 5. Coupling coordination of technology and finance in the Guangdong-Hong Kong-Macao Greater Bay Area from 2009 to 2018

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Fig. 6. LISA cluster diagram of coupling coordination of technology and finance in Guangdong province and Hong Kong

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序参量	一级指标	二级指标(变量)
科技创新	科技投入	R&D人员( $X_{11}$ )
	科技投入	R&D经费占GDP比例( $X_{12}$ )
	科技产出	专利申请受理量( $X_{13}$ )
	科技产出	专利授权量( $X_{14}$ )
金融发展	公共科技金融	地方财政科技拨款占地方财政支出的比例( $X_{21}$ )
	金融发展规模	金融机构本外币存款余额( $X_{22}$ )
	金融发展结构	保费收入( $X_{23}$ )

Table 1. Evaluation index system of coupling coordination degree between scientific and technological innovation and financial development

序号	协调度	协调等级	序号	协调度	协调等级
1	0.00~0.20	严重失调	4	0.51~0.60	初级协调
2	0.21~0.35	中度失调	5	0.61~0.80	中级协调
3	0.36~0.50	濒临失调	6	0.81~1.00	优质协调

Table 2. Division standard of coupling coordination degree

目标	计算方法
X₁ 政府科技投入占比	财政科技拨款占地方财政支出比例
X₂ 金融效率	当地贷款余额与存款余额之比
X₃ 高新技术企业规模	高新技术产品总产值与地方GDP的比值
X₄ 控制变量	城镇人口占总人口的比例
X₅ 控制变量	人均GDP

Table 3. Related factors affecting the efficiency of technology and finance in the Guangdong-Hong Kong-Macao Greater Bay Area

被解释变量	解释变量	广东省9市+香港		广东省21市+香港
被解释变量	解释变量	系数	P值	系数	P值
科技金融耦合协调度	财政科技拨款占地方财政支出比例	8.050	0.001	6.960	0.007
	当地贷款余额与存款余额之比	0.730	0.000	0.650	0.000
	高新技术产品总产值与地方GDP的比值	0.640	0.001	0.580	0.002
	城镇人口占总人口的比例	2.850	0.001	2.430	0.001
	人均GDP	0.047	0.000	0.036	0.000

Table 4. Regression results of influencing factors of coupling coordination degree of technology and finance

年份	正相关		负相关
年份	高高	低低	低高	高低
2009年	—	梅州、湛江、茂名	云浮、惠州、揭阳、汕头、汕尾、江门、河源、清远、珠海、肇庆、阳江、韶关	东莞、中山、佛山、广州、深圳、潮州、香港特别行政区
2018年	韶关	茂名	云浮、惠州、揭阳、梅州、汕尾、江门、河源、清远、潮州、阳江	东莞、中山、佛山、广州、汕头、深圳、湛江、珠海、肇庆、香港特别行政区

Table 5. Moran's I index of coupling coordination degree of technology and finance in Guangdong province and Hong Kong in 2009 and 2018

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