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How to analyze the coupling coordination index?
2022-06-25 08:23:00 【spssau】
One 、 application
The coupling coordination degree model is used to analyze the coordinated development level of things . Coupling refers to the interaction between two or more systems , Realize the dynamic relationship of coordinated development , It can reflect the degree of interdependence and mutual restriction between systems . Coordination degree refers to the degree of benign coupling in the coupling interaction relationship , It can reflect the quality of coordination .
For example, the coupling relationship between national economic development and social livelihood , Or the interactive coupling relationship between urbanization and ecological environment , Or the coupling relationship between scientific and technological innovation and industrial structure , The coupling of quality and quantity, sustainable development, etc .
Two 、 operation
SPSSAU operation
(1) Click on SPSSAU Comprehensive evaluation ‘ Coupled co scheduling ’ Button . Here's the picture

(2) Drag and drop the data and click start analysis

SPSSAU The coupling coordination degree is selected by default ‘ Data interval ’, Its significance lies in compressing data in [0.01,0.99] Between . This process consists in compressing the data in 0~1 Between . Can be ‘ Data interval ’ Check the box to remove the reanalysis .
Interval :a+(b - a) * (X - Min)/(Max - Min), among b by 0.99,a by 0.01,Max and Min Represents the maximum and minimum values corresponding to an item respectively .
3、 ... and 、 Case background
There is currently a calculation of a city 2011~2016 common 6 Data of economic and social benefits in . It is hoped that the coupling coordination degree of urban development can be calculated through the coupling coordination degree model , And the level of coupling and coordination of urban development . The data are as follows :

The data comes from : Shuxiaolin [1,2,3] Gaoyingbei [2] Zhangyuanxia [2] Yangchunyu [2,3]. (2015). Research on the coupling relationship and coordinated development between tourism industry and ecological civilization city . China's population, resources and environment (25), 90.
Four 、 The results of the analysis
SPSSAU The resulting analysis results are as follows :

(1) Coupling degree C value
n=2
![2 \times\left[\frac{U_{1} \cdot U_{2}}{\left(U_{1}+U_{2}\right)^{2}}\right]^{\frac{1}{2}}](http://img.inotgo.com/imagesLocal/202202/20/202202200557193507_5.gif)
n=3
![3 \times\left[\frac{U_{1} \cdot U_{2} \cdot U_{3}}{\left(U_{1}+U_{2}+U_{3}\right)^{3}}\right]^{\frac{1}{3}}](http://img.inotgo.com/imagesLocal/202202/20/202202200557193507_8.gif)
n=4
![4 \times\left[\frac{U_{1} \cdot U_{2} \cdot U_{3} \cdot U_{4}}{\left(U_{1}+U_{2}+U_{3}+U_{4}\right)^{4}}\right]^{\frac{1}{4}}](http://img.inotgo.com/imagesLocal/202202/20/202202200557193507_1.gif)
n>4
![n \times\left[\frac{U_{1} U_{2} \cdots U_{n}}{\left(U_{1}+U_{2}+\cdots+U_{n}\right)^{n}}\right]^{\frac{1}{n}}](http://img.inotgo.com/imagesLocal/202202/20/202202200557193507_7.gif)
( References : Congxiaonan . Form of coupling degree model 、 Nature and some misuse in geography [J]. Economic geography , 2019(4).).
(2) Coordination index T value
T = β1U1 + β2U2 + β3U3 + .., among β1,β2,β3 Etc. stands for weight , This value depends on the expertise , By default ,SPSSAU It is considered that the weights of all analysis items are consistent . If you want to set it yourself , It can be done by “ Index weight ” Set it up .
(3) Coupled co scheduling D value
D= Sqrt(C*T), Sqrt It means to open the root .
5、 ... and 、 summary
This time for a city 2011~2016 common 6 The data of economic benefit and social benefit in are analyzed by coupling coordination degree ( No. in the above table 1 term ~ The first 6 term , In fact, it is 2011~2016 Year means ). You can see in the table above , As the years change ( from 2011~2016), The degree of coupling and coordination becomes better , From mild maladjustment to high-quality coordination .
Specific coupling coordination scheduling D Values are used for coupling coordination levels and division criteria as shown in the following table :

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