Study on the Coupling and Coordination between Rural

Revitalization and Rural Tourism in Xiangxi Autonomous Prefecture,

Hunan Province based on the Entropy Method

Ying Liu

School of Tourism, Shandong Women’s University, Jinan, Shandong, China

Keywords: Rural Revitalization, Rural Tourism, Entropy Method, Coupling.

Abstract: Based on the importance of the coupling relationship between rural revitalization and rural tourism to the

harmonious and orderly development of the rural system, this paper takes Xiangxi Tujia (Miao) Autonomous

Prefecture as the research object, constructs the evaluation index system of rural revitalization and rural

tourism respectively. Use entropy method to determine the index weight. The data of 2018 is used to measure

their comprehensive score, coordination degree, development degree, and coupling coordination degree. The

coupling between the two systems and their spatial distribution characteristics are investigated, with a view

to providing an empirical basis for the development of rural revitalization and rural tourism in Xiangxi. The

results show that rural revitalization and rural tourism in Xiangxi Prefecture are at a high stage of coupling,

and the two systems are closely related. The comprehensive score indexes and development degree of rural

revitalization and rural tourism in the whole prefecture are in the low to medium development stage, and the

coupling coordination degree is in the medium to high development stage, but the development of each aspect

is uneven. In view of this, Xiangxi Prefecture should focus on exploring the coordination mechanism between

the two, and adjust the development focus according to the shortcomings of each county and city.

1 INTRODUCTION

The report delivered at the 19th National Congress of

the Communist Party of China proposed the rural

revitalization strategy and set the general goal of

“building rural areas with thriving businesses,

pleasant living environments, social etiquette and

civility, effective governance, and prosperity”, which

points out the direction for solving the “issues

relating to agriculture, rural areas, and rural people”

in the new era and facilitating building a moderately

prosperous society in all respects. In 2019, the

Central Committee of the Communist Party of China

and the State Council issued the Strategic Plan for

Rural Revitalization (2018-2022), which pointed out

that the improvement of village infrastructure and

public environment should be accelerated, the

village’s characteristic resources should be rationally

utilized, and rural tourism and characteristic

industries should be developed; leisure agriculture

http://www.gov.cn/zhengce/2018-09/26/content_5325534.htm

and rural tourism boutique projects should be

implemented, and new businesses such as rural

sharing economy should be cultivated

Coupling was originally proposed as a physical

concept, mainly used to describe the phenomenon of

interaction and mutual influence between two or

more systems through the connection of element

exchange and internal mechanism. The coupling

coordination analysis of rural revitalization and rural

tourism mainly refers to the interaction mechanism

and coupling degree between the two systems of rural

revitalization and rural tourism. At present, academic

circles have paid attention to the relationship between

rural revitalization and rural tourism, and have

discussed them from the theoretical and empirical

levels.

To sum up, the coupling relationship between

rural revitalization and rural tourism plays an

important role in the entire system of “agriculture,

rural areas, and rural people”. The effective coupling

and coordinated development of the two systems of

Liu, Y.

Study on the Coupling and Coordination between Rural Revitalization and Rural Tourism in Xiangxi Autonomous Prefecture, Hunan Province based on the Entropy Method.

DOI: 10.5220/0011169700003440

In Proceedings of the International Conference on Big Data Economy and Digital Management (BDEDM 2022), pages 171-179

ISBN: 978-989-758-593-7

171

rural revitalization and rural tourism are conducive to

the development of the entire agricultural and rural

system and promote a virtuous circle. Therefore, in

the year of realizing the goal of building a moderately

prosperous society in all respects and achieving the

target of poverty eradication, this paper takes 8

counties (cities) of Xiangxi Tujia (Miao)

Autonomous Prefecture as the research objects to

explore the coupling mechanism and coupling

coordination between rural revitalization and rural

tourism in the region and to investigate their spatial

distribution characteristics with profound practical

significance.

2 RESEARCH METHODS

2.1 Construction of Index System and

Data Sources

Based on the index selection principles of

comprehensiveness, scientificity, feasibility, and

hierarchy, this paper divides the indexes into system

level, primary indexes, and secondary indexes, and

screens out 23 secondary indexes of rural

revitalization and 10 secondary indexes of rural

tourism with reference to previous literature

[1][2]

and

consultation with experts. The system layer is divided

into two categories: rural revitalization and rural

tourism. Since the index system for rural

revitalization is relatively mature, in accordance with

the 20-character policy of the rural revitalization

strategy proposed by the 19th National Congress of

the Communist Party of China, five major categories

of thriving businesses, pleasant living environments,

social etiquette and civility, effective governance,

and prosperity are selected for the primary index.

Meanwhile, under the principle of coupled research,

this paper selects the indexes of rural tourism, which

are relatively linked with rural revitalization, and

selects secondary indexes from rural tourism

economic support, development status, tourism

resources, and tourism environment. The specific

index system is shown in Table 1.

Table 1: Construction of the evaluation index system for the coupling coordination between rural revitalization and rural

tourism.

System index Primary index Secondary index Unit

Index

direction

Weights

Rural

revitalization

Thriving

businesses

Y1 Investment in fixed asset 10,000 Yuan + 0.0717

Y2 regional gross output value 10,000 Yuan + 0.0343

Y3 Agricultural labor productivity

Yuan

/person

+ 0.0371

Y4 The proportion of secondary and tertiary

industries in GDP

% + 0.0320

Pleasant living

environments

Y5 Penetration rate of rural piped water % + 0.0465

Y6 Penetration rate of rural sanitary toilets % + 0.0354

Y7 Treatment rate of rural domestic sewage % + 0.0364

Y8 Water quality compliance rate of Class iii or

etter than Class iii

% + 0.0323

Y9 Centralized treatment rate of rural wastes % + 0.0577

Y10 Social

etiquette and

civility

Y10 Gross enrollment rate at senior high school % + 0.0459

Y11 Average years of education of the working-

age population

Year + 0.0227

Y12 Rural wireless TV coverage % + 0.0418

Y13 Rural broadcasting coverage % + 0.0400

Effective

governance

Y14 General public budget expenditure 10,000 Yuan + 0.0296

Y15 Crime rate % - 0.1138

Y16 Satisfaction with comprehensive

management of social security

% + 0.0193

Prosperity

Y17 Per capita disposable income of rural

residents

Yuan + 0.0251

Y18 Per capita housing area of rural residents m2 + 0.0315

Y19 Per capita consumption expenditure of rural

residents

Yuan + 0.1105

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172

Y20 Incidence of poverty % - 0.0431

Y21 Urban and rural medical insurance

participation rate

% + 0.0380

Y22 Subsidy coverage rate of basic elderly care

services

% + 0.0342

Y23 The number of old-age beds per 1,000 elderly

people

PCS + 0.0211

Rural tourism

Economic support

Y24 County-wide tourism revenue

100 million

yuan

+ 0.1337

Y25 Capital investment in the construction of

rural tourism projects

100 million

yuan

+ 0.0656

Development

status

Y26 Rural tourism reception

10,000

people

+ 0.1434

Y27 Rural tourism revenue

100 million

yuan

+ 0.1260

Y28 The proportion of rural tourism revenue in

the county's tourism revenue

% + 0.0726

Tourism resources

Y29 The number of A-grade or above tourist

attractions in the county

PCS + 0.0473

Y30 The number of star-rated hotels PCS + 0.0878

Y31 Bus access rate in built-up villages % + 0.0450

Tourism

environment

Y32 Greening coverage area Hectare + 0.2011

Y33 Excellent or above air quality compliance

rate

% + 0.0776

This paper mainly uses 33 indicators that can

characterize the rural revitalization and rural tourism

in cities and counties of Xiangxi Autonomous

Prefecture in 2018 for analysis. The data mainly

stems from the Statistical Yearbook of Xiangxi

Autonomous Prefecture in 2018, the Xiangxi

Autonomous Prefecture Statistics Bureau, and related

statistical websites. Statistical Bulletin on National

Economic and Social Development of Cities and

Counties For the missing data in 2018, the data were

completed by averaging the adjacent years and

analyzed for spatial distribution using geographic

information system (ArcGIS) software.

2.2 Entropy Method to Determine

Index Weight

In the wake of constructing the coupling coordination

model, the weight of each index needs to be

determined first. This paper adopts the entropy

method, which is generally recognized in academic

circles, to determine the weights of each index of

rural revitalization and rural tourism. Since rural

revitalization and rural tourism involve a wide range

of aspects, there is no uniform unit for each index, so

it is impossible to make comparisons. Therefore, this

paper first adopts the range method with the de-

zeroing process to standardize the indexes into

dimensionless values, so that they are comparable.

After standardization, all indexes are in the range of

0.01 to 1. The larger the value is, the better the index

will be. The specific calculation method is as Formula

(1):

01.099.0*

minmax

max

index negative of formulaation Standardiz

01.099.0*

minmax

min

index positive of formulaation Standardiz

−

ijj

jij

：

(1)

In Formula (1), y

is the variable value of each

index, and Y

is the value after standardization.

i=1...n, representing 8 cities and counties; j=1...m,

indicating the j-th index. To calculate the entropy

value of the jth indicator, the first step is to determine

the weight of the i-th city and county in the jth index,

as shown in Formula (2).



ijij

YYZ

/ (2)

After that, the entropy of the j-th index is

calculated, as shown in Formula (3):

Study on the Coupling and Coordination between Rural Revitalization and Rural Tourism in Xiangxi Autonomous Prefecture, Hunan

Province based on the Entropy Method

173

nZZG ln/ln-

ijj

）（ ×=



(3)

Then the entropy redundancy value is calculated

to determine the weight of the j-th index, as shown in

Formula (4):

）（）（



jjj

-1/-1 GGW

(4)

To this end, the weight of each indicator is

obtained.

2.3 Coupling Coordination Model

The coupling coordination model can

comprehensively analyze the correlation between the

two systems. On the basis of calculating the coupling

degree of the two systems, the analysis of the

coordination degree and development degree

between the systems is added. The coordination

degree mainly assesses whether the development

between two or more systems is consistent, and a high

coordination degree indicates that the system

reinforces each other and develops harmoniously; the

development degree mainly measures the

comprehensive development between two systems

[3]

The coupling degree evaluates the tightness of the

connection between several systems. The greater the

coupling degree is, the stronger the interaction of the

system will be. Rural revitalization and rural tourism

are mutually reinforcing, both in the sense of

coordination and development. Therefore, it is more

appropriate to use the coupling coordination model

for analysis in this paper. Referring to the coupling

coordination calculation method of scholar Li

Zhilong

[4]

, the calculation method of the

coordination degree of rural revitalization and rural

tourism in this paper is as follows:

U denotes the comprehensive evaluation index of

the system, and U1 and U2 signify the rural

revitalization system and rural tourism system,

respectively. First, the integrated linear weighting

method is used to calculate the comprehensive score

of the index:



×=

ijjh

YWU

(5)

Where h represents the number of systems, h=1,2.

Then the coupling degree of the system is calculated:

]

)5.05.0(

[

(6)

The calculation formula of the development

degree is:

UUT

(7)

Where T means the comprehensive development

level of the two systems of rural revitalization and

rural tourism, i.e., the development degree. α and β

refer to undetermined coefficients, and the table

represents the weight of the two systems on the

overall development. Usually, for both systems, α and

β are both taken as 0.5. Normally, for two systems,

both α and β take the value of 0.5. Based on the

coupling degree and the development degree, then the

coupling coordination degree can be calculated as

follows:

TCD ×= (8)

In the model, the values of coupling degree and

coupling coordination degree are between 0 and 1.

The closer the values of C and D are to 1, the more

harmoniously the two systems develop and the

system moves toward an orderly structure;

conversely, it indicates that there is a disconnect

between the systems and they move toward disorder,

which is detrimental to the overall progress.

3 EMPIRICAL ANALYSIS

According to the above calculation method, this

paper selects 23 rural revitalization indexes and 10

rural tourism indexes of each city and county in

Xiangxi Autonomous Prefecture in 2018, calculates

the comprehensive score of the subsystems of rural

revitalization and rural tourism in Xiangxi

Autonomous Prefecture, as well as the coupling

degree and development degree, and coupling

coordination degree of the two systems, and uses

ArcGIS for spatial analysis.

3.1 Comprehensive Score Results of

Subsystems

In order to further explore the weak areas that affect

the coupling coordination degree of cities and

counties to tap their growth potential, this paper

firstly analyzes the comprehensive scores of rural

revitalization, rural tourism, and their subsystems

(Figures 1-2, Tables 2-4). In accordance with the

basic requirements of the rural revitalization strategy,

this paper analyzes rural revitalization from five

subsystems: thriving businesses, pleasant living

environment, social etiquette and civility, effective

governance, and prosperity. Table 3 presents the

comprehensive score of the subsystems of rural

revitalization.

BDEDM 2022 - The International Conference on Big Data Economy and Digital Management

174

Table 2: Comprehensive scores of the subsystems of rural

revitalization in counties and cities in Xiangxi Autonomous

Prefecture.

Comprehe

nsive score

Thrivin

busines

ses

Pleasant

living

environment

Social

etiquette

and civility

Effective

governan

Pros

peri

Jishou City 0.175 0.247 0.091 0.054

0.22

Luxi

County

0.049 0.060 0.046 0.065

0.07

Fenghuang

County

0.065 0.073 0.014 0.030

0.13

Huayuan

County

0.047 0.108 0.092 0.037

0.10

Baojing

County

0.042 0.058 0.033 0.021

0.11

Guzhang

County

0.030 0.076 0.108 0.043

0.10

Yongshun

County

0.039 0.094 0.077 0.075

0.10

Longshan

County

0.064 0.071 0.090 0.082

0.10

As can be seen from Figure 1 and Table 2, the

comprehensive scores of rural revitalization in

counties and cities in Xiangxi Autonomous

Prefecture are currently not high. Except for Jishou

City, which has a higher comprehensive score for

rural revitalization, the development of other counties

and cities is relatively balanced. Overall, the rural

revitalization score of Jishou City is 0.79, which is

considerably higher than that of other cities and

counties, the scores of which are all around 0.4 or

below. This is mainly due to the distinct advantages

of Jishou City in terms of thriving businesses,

pleasant living environment, and prosperity, with

comprehensive scores of 0.175, 0.247, and 0.224

respectively. However, Jishou City relatively lacks

effective governance, with a comprehensive score of

only 0.054. Longshan County ranks second with a

score of 0.407, mainly due to its effective governance

performance, with a comprehensive score of 0.082,

marking the highest score among all cities and

counties. Yongshun County, Huayuan County, and

Guzhang County are ranked third, with similar

comprehensive scores in rural revitalization, but their

main dominant domains differ a lot, indicating that

the development is inconsistent among the five

subsystems of rural revitalization. The county with

the lowest comprehensive score for rural

revitalization is Baoding County, which has the

lowest comprehensive score in terms of pleasant

living environment and effective governance, and

there is no field with the highest score. It

demonstrates that the development degree of rural

revitalization in Baoding County lags far behind that

of other cities and counties.

Figure 1: The comprehensive score of rural revitalization in

counties and cities in Xiangxi Autonomous Prefecture.

Figure 2: The comprehensive score of rural tourism in

counties and cities in Xiangxi Autonomous Prefecture.

From the perspective of various subsystems,

Jishou City, as the capital of Xiangxi Autonomous

Prefecture, has the highest score of 0.175 for thriving

businesses, which is significantly higher than other

cities and counties. Jishou City ranks first in terms of

investment in fixed assets, regional GDP, and the

proportion of secondary and tertiary industries and

labor productivity. Its pleasant living environment

makes it the best among all cities and counties, which

is largely attributed to the best treatment of rural

sewage and garbage as well as the penetration rate of

Study on the Coupling and Coordination between Rural Revitalization and Rural Tourism in Xiangxi Autonomous Prefecture, Hunan

Province based on the Entropy Method

175

piped water. While Baojing County and Luxi County

score the lowest in this regard. With respect to social

etiquette and civility, there are large differences

among counties and cities, with Guzhang County

scoring the highest and Fenghuang County scoring

the lowest. This is mainly due to the fact that the gross

enrollment rate of high school students in Fenghuang

County and the average years of education of the

working-age population are the lowest. The

development of an effective governance index is

relatively balanced, with Longshan County scoring

the highest and Baojing County the lowest. Jishou

City is also far ahead of other cities and counties as

regards prosperity, driven by its highest per capita

disposable income and lowest poverty rate. In a

comprehensive view, Jishou City, Huayuan County,

and Baojing County should place emphasis on

improving their rural governance capacity, enhancing

satisfaction with comprehensive governance,

increasing general public service expenditures, and

reducing crime rates. Luxi County and Fenghuang

County should strive to boost social etiquette and

civility, elevate rural education levels, and raise the

literacy of farmers. Guzhang County, Yongshun

County, and Longshan County should expand their

industries, develop regional economies, and improve

labor productivity.

Table 3: Comprehensive scores of the subsystems of rural tourism in counties and cities in Xiangxi Autonomous Prefecture.

Com

rehensive score Economic su

ort Develo

ment status Tourism resources Tourism environment

Jishou City 0.150 0.121 0.111 0.025

Luxi County 0.052 0.164 0.174 0.054

Fenghuang County 0.278 0.202 0.215 0.026

Huayuan County 0.020 0.198 0.060 0.133

Baojing County 0.021 0.018 0.049 0.082

Guzhang County 0.063 0.175 0.044 0.030

Yongshun County 0.126 0.129 0.178 0.096

Longshan County 0.028 0.010 0.215 0.036

Figure 2 and Table 3 render the comprehensive

scores of rural tourism and its subsystems. By and

large, rural tourism has a wide range of scores, with

all counties and cities scoring around or below 0.5,

except for Fenghuang County, which has a high

score. From the perspective of spatial distribution,

except for Yongshun County, the comprehensive

score of rural tourism in Xiangxi Autonomous

Prefecture decreases from the southwest to the

northeast. Fenghuang County in the southwest is

significantly higher than Longshan Cunty, Baojing

County, and Guzhang County in the north, while

Yongshun County in the north ranks second with a

score of 0.529. Fenghuang County in the southwest

registers the highest score of 0.721 for rural tourism,

which accounts for the favorable development of

rural tourism. On the one hand, it is due to its strong

economic support, strong support of the project fund,

and the high tourism revenue of the county; on the

other hand, it is dependent on its unique tourism

resources and ecological environment. In this regard,

its tourism development is in good condition, both

rural tourism revenue and rural tourism attendance

are the highest among cities and counties.

From the above, it can be seen that for counties

and cities with low scores in rural tourism at present,

they should accelerate the improvement of their

shortcomings areas in order to promote the overall

development of rural tourism. For instance, Longshan

County is rich in tourism resources, efforts should be

intensified to invest in its projects and fully develop

and excavate its rural tourism resources. Guzhang

County should attach importance to the improvement

of its rural environment, expand the greening area,

and do a good job in pollution prevention and control

to improve air quality. Baojing County and Huayuan

County should focus on the economic support of rural

tourism development, and increase investment to

create a beautiful and attractive tourism environment,

thus attracting rural tourists.

3.2 Analysis of Coupling Coordination

Degree

Through the comprehensive scores of each system,

this paper measures the coupling degree and coupling

coordination degree between rural revitalization and

rural tourism in Xiangxi Autonomous Prefecture, as

shown in Figure 3 and Table 4. In general, the

coupling degree between rural revitalization and rural

tourism in Xiangxi Autonomous Prefecture is

relatively high. Except for Fenghuang County and

Jishou City, other cities and counties are above 0.9,

which is a highly coupled stage. However, the uneven

development of cities and counties is obvious. Jishou

City Baojing County, Guzhang County, and

Longshan County have higher comprehensive scores

for rural revitalization than rural tourism, while the

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176

other four counties are the opposite. It shows that the

development of cities and counties is uneven on the

one hand, and the focus of development differs on the

other hand.

Table 4. Analysis of coupling degree and coupling coordination degree between rural revitalization and rural tourism.

Cities and

Counties

Comprehensive score U1 of rural

revitalization

Comprehensive score U2 of

rural tourism

Coupling

degree C

Development

degree T

Coupling

coordination

ree D

Jishou City 0.790 0.407 0.805 0.599 0.694

Luxi County 0.299 0.443 0.926 0.371 0.586

Fenghuang

County

0.313 0.721 0.712 0.517 0.607

Huayuan County 0.384 0.411 0.998 0.397 0.630

Baojing County 0.267 0.171 0.905 0.219 0.445

Guzhang County 0.357 0.313 0.991 0.335 0.576

Yongshun

County

0.388 0.529 0.953 0.459 0.661

Longshan

County

0.407 0.288 0.942 0.348 0.573

Figure 3: Coupling coordination degree of counties and

cities in Xiangxi Autonomous Prefecture.

Above all, the development degree of each county

and city is average. The cities and counties with

higher development degree mainly include Jishou

City and Fenghuang County, but their areas of

advantage are different. Jishou City has a high

comprehensive score for rural revitalization, while

Fenghuang County has a high comprehensive score

for rural tourism. Both places have advantages and

disadvantages. Attempts should be made to further

compensate for weak areas, enhance comprehensive

development capabilities, and form high-coupling

development, thereby promoting the improvement of

the entire rural system. While Baojing County has the

lowest development degree, which is only 0.219. The

reasons for this are mainly manifested in two aspects.

First, the rural infrastructure is not perfect, compared

with other cities and counties, the investment in rural

tourism development is not enough, and

homogenization is serious, lack of their

characteristics. Second, the tourism industry

development strategy has not been highlighted. Its

rural tourism revenue accounts for 8.8% of the

county’s tourism revenue, and its whole county’s

tourism revenue only accounts for 24% of the

county’s GDP, which still has a certain gap compared

with other counties and cities.

The coupling coordination degree of the cities and

counties in Xiangxi Autonomous Prefecture is at a

medium level, with the highest being 0.694 in Jishou

City and the lowest being 0.445 in Baojing County,

and the overall gap is not large. From the perspective

of regional distribution, there is no obvious regularity

in the coupling coordination between rural

revitalization and rural tourism in Xiangxi

Autonomous Prefecture. Except for Jishou City and

Yongshun County, which have the highest coupling

coordination degree, the southern region is basically

higher than the northern region, that is, Huayuan

County and Fenghuang County are generally higher

than Longshan and Guzhang in terms of coupling

coordination degree. From the view of coupling and

coordination, the two systems of rural revitalization

and rural tourism in Xiangxi Autonomous Prefecture

are closely linked and mutually reinforced.

As mentioned above, although the coupling

degree of rural revitalization and rural tourism in

Study on the Coupling and Coordination between Rural Revitalization and Rural Tourism in Xiangxi Autonomous Prefecture, Hunan

Province based on the Entropy Method

177

cities and counties of Xiangxi Autonomous

Prefecture is high, their development degree and

coupling coordination degree are still at an

intermediate stage, indicating that these two systems

have a strong degree of mutual influence, but lack a

corresponding coordination mechanism.

Accordingly, the mutual promotion effect of rural

revitalization and rural tourism is weak and does not

give full play to its promotion effect on the whole

rural system. Especially the development of rural

tourism in the northern region is weak, while the

development of rural revitalization in the southern

region is weak. In view of this, the southern regions

such as Fenghuang County and Luxi County should

further catalyze rural revitalization, while the

northern regions such as Longshan County and

Baojing County should further develop rural tourism.

4 CONCLUSION AND

DISCUSSION

This paper conducts an empirical analysis on the

relationship between rural revitalization and rural

tourism and its spatial distribution characteristics in

eight cities and counties in Xiangxi Autonomous

Prefecture through the coupling coordination model.

By screening out 23 representative rural revitalization

indexes and 10 rural tourism indexes, the

comprehensive development degree, coupling

degree, development degree, and coordination degree

of rural revitalization and rural tourism were

calculated. Finally, the following conclusions are

drawn:

The comprehensive index score of rural

revitalization is not high. Except for Jishou City,

which is relatively high, all other counties and cities

are at a medium level of development. It shows that

the level of rural revitalization and development in

each county and city in Xiangxi Autonomous

Prefecture is uneven, and all counties and cities have

their advantages and disadvantages in various aspects

of rural revitalization and development. For example,

Jishou City and Fenghuang County have obvious

shortcomings in the field of rural governance, which

is mainly reflected in the low satisfaction of their

comprehensive governance for each county and city.

With regard to this, these two regions should improve

the rural governance system as soon as possible,

enhance their rural governance capabilities, and

promote the integration of three governance for

agriculture, rural areas, and rural people, so as to

improve their comprehensive governance

satisfaction. Baojing County, taken as another

example, has the lowest comprehensive score for

rural revitalization, without any outstanding areas but

with obvious shortcomings in ecology and

governance. Therefore, the county should

concentrate on enhancing its rural ecological livable

environment and improving governance capabilities.

The comprehensive score for rural tourism is not

high. Except for Fenghuang County, rural tourism in

other cities and counties is at a low-to-medium

development level. Moreover, the regional

differences in the comprehensive development of

rural tourism in Xiangxi Autonomous Prefecture are

obvious. Except for Yongshun County, the

comprehensive score of rural tourism decreases from

the southwest to the northeast, showing the

characteristics of low-value aggregation in the north

and high-value aggregation in the south. Although all

indexes of rural tourism in Fenghuang County have

developed well, the tourism environment is indeed a

shortcoming of its development. Thus, attention

should be paid to pollution prevention and treatment

and improve air quality and green coverage.

The coupling degree of rural revitalization and

rural tourism in the counties and cities of Xiangxi

Autonomous Prefecture is extremely high. Except for

Fenghuang County and Jishou City, the coupling

degree of all counties and cities is above 0.9, which

is a high coupling stage. It suggests that there is a

close relationship between the two systems, rural

tourism cannot be separated from the driving and

promoting role of rural revitalization, and rural

revitalization also relies on rural tourism to activate

the endogenous power of rural development. The

development degree and coupling coordination

degree of Xiangxi Autonomous Prefecture are both in

the intermediate development stage, and their spatial

distribution characteristics are consistent with rural

tourism. Among them, Jishou City is in a leading

position in terms of development degree and coupling

coordination degree and has strong development

potential. In addition, Yongshun County, Fenghuang

County, and Huayuan County are at the top of the

ranking. The coordination mechanism of rural

revitalization and rural tourism should be further

explored to promote the harmonious and orderly

development of the rural system.

REFERENCES

Chen G S, Liu X F, Jiang S L, Ding C C, Guo Q R, Yang

L. Research on the Measurement and Path Selection of

Coupling and Coordinated Development of Rural

BDEDM 2022 - The International Conference on Big Data Economy and Digital Management

178

Revitalization in Hunan Province [J]. Economic

Geography, 2019,39(05):191-197+206.

Chen Z, Cui R N, Zhou T Y, Liu H P, Luo J X. Research

on the Coupling Coordination of Transportation and

Agricultural Modernization in Hebei Province [J].

Economic Geography, 2020, 40(03): 152-159.

Li Z L. Research on the Coupling Mechanism and

Coordinated Development of Rural Revitalization-

Rural Tourism System: Taking Fenghuang County,

Hunan as an Example [J]. Geographical Research,

2019, 38(03): 643-654.

Ma X Q. Measurement of Coupling Coordination between

Rural Tourism and Rural Revitalization in Shanxi

Province [J]. China Agricultural Resources and Zoning,

2019, 40(09): 257-262.

Zhao Y C, Lu J. Research on the Coupling Coordination

Relationship between Rural Revitalization and Rural

Tourism in Minority Areas: Taking Fuchuan Yao

Autonomous County in Guangxi as an Example [J].

Resource Development and Market, 2020, 36(10):

1133-1139.

Study on the Coupling and Coordination between Rural Revitalization and Rural Tourism in Xiangxi Autonomous Prefecture, Hunan

Province based on the Entropy Method

179