Research on the Coupling Coordination Effect of Green Agriculture

Development Level and Rural Tourism in Sichuan and Chongqing

Based on SPSS

Fuyan Hong

1,a

and Qihao Wan

2,*

The Administrative Management, Harbin University of Commerce, Harbin, China

No. 1 Xuehai Street, Songbei District, Harbin City, Heilongjiang Province Public Management,

Harbin University of Commerce, Harbin, China

Keywords:

Sichuan-Chongqing Region, Green Agriculture, Rural Tourism, Coupling Coordination.

Abstract: This paper uses SPSS software and computer system technology to calculate, modify and analyze

the data on the development level of green agriculture, the development level of rural tourism, and

the degree of coupling and coordination between the two in 15 districts and counties in Sichuan

and Chongqing. Integration, the research shows that

the coupling and coordinated development

between the two industries in Sichuan Province are significantly higher than that in Chongqing,

which is related to Chongqing's local physical and geographical environment. The research con-

clusion has particular value for the coordinated development mode and method of green agricul-

ture and rural tourism in the Sichuan-Chongqing region. Based on these conclusions, corre-

sponding recommendations are given.

1 INTRODUCTION

Developing an ecological economy based on re-

sources and the environment is a meaningful way to

revitalize the countryside. Rural tourism combines

the five parts of ecology, industry, humanities, cul-

ture, and organization. It is also an important starting

point for the rural revitalization strategy and an in-

evitable choice to achieve shared prosperity. The

integrated development of green agriculture and rural

tourism can tap agricultural resources, improve the

ecological environment, bring more traditional cul-

ture and folk customs back into focus, and speed up

the process of urbanization. (Qiu, 2022) Since 2019,

the rapid and high-quality development of rural

tourism has been affected by the epidemic, but it has

also provided markets and opportunities for domestic

rural tourism. The rapid spread of foreign epidemics

and the epidemic policies of foreign governments

forced tourists to change: from foreign tourism to

domestic tourism, from inter-provincial and in-

ter-regional tourism to intra-provincial and in-

tra-regional tourism; the time had to be postponed.

By the end of 2020, Chongqing will have 29 nation-

al-level key demonstration areas for leisure agricul-

ture and rural tourism. The coordination of green

agriculture and rural tourism is related to the local

implementation of the rural revitalization strategy.

In this paper, the entropy method is used to

measure the development level of green agriculture

and tourism in the Sichuan-Chongqing region. The

SPSS software is used to carry out mathematical

modeling and visual display through computer

technology. The joint development of the tourism

industry and its analysis have specific research value

for the integrated development of agriculture and

tourism in Sichuan and Chongqing and the promotion

of rural revitalization.

2 THEORETICAL MECHANISM

OF THE COUPLING AND

COORDINATION OF GREEN

AGRICULTURE AND RURAL

TOURISM

As a new development concept, green agriculture has

gained popularity recently, which is also an essential

step in the rural revitalization strategy. The green

transformation and upgrading of agriculture provide

Hong, F. and Wan, Q.

Research on the Coupling Coordination Effect of Green Agriculture Development Level and Rural Tourism in Sichuan and Chongqing Based on SPSS.

DOI: 10.5220/0011741000003607

In Proceedings of the 1st International Conference on Public Management, Digital Economy and Internet Technology (ICPDI 2022), pages 475-478

ISBN: 978-989-758-620-0

 2023 by SCITEPRESS – Science and Technology Publications, Lda. Under CC license (CC BY-NC-ND 4.0)

475

places, resources, and personnel for developing the

rural tourism industry. Rural tourism can provide new

platforms and opportunities to stimulate green agri-

culture to generate more significant economic bene-

fits. (Li, 2021) Therefore, it is necessary to under-

stand the relationship between the two interdepend-

ence.

3 DATA SOURCES AND

RESEARCH METHODS

3.1

Data Sources

This paper selects 15 typical districts and counties in

Sichuan and Chongqing, such as Chengkou County,

Pingwu County, etc., through the data on their green

agricultural and rural tourism development levels and

uses SPSS software to optimize the data in terms of

computer system technology, research and analyze

the coupling degree, coupling coordination degree,

and the integration and development relationship

between the two. The data comes from China Statis-

tical Yearbook, China Environmental Statistical

Yearbook, China Tourism Statistical Yearbook, and

statistical reports from regional governments.

3.2 Research Methods

3.2.1 Development Level Index

The data in the Sichuan-Chongqing area is optimized

by the range method, the optimized data is calculated

by the entropy method on SPSS using computer

technology, and finally, the development level index

is obtained. (Zheng, 2001)

3.2.2 Coupling Coordination Degree Model

The degree of coupling refers to the degree of inter-

dependence between subjects, and the degree of

coordination refers to the degree of fusion between

subjects. Based on the former, this paper builds a

model with the help of computer technology and

software SPSS as follows:

D 

√

C ∙T

C 2 ∙



（U



∙U



）

（U



U



）





T a ∙U



b ∙U



𝑈



: Development level of green agriculture

𝑈



: Development level of rural tourism

D: The degree of coupling and coordination be-

tween the development level of green agriculture and

the development level of rural tourism

C: The coupling degree between the development

level of green agriculture and the development level

of rural tourism

T: Coordination index of green agriculture de-

velopment level and rural tourism development level

a, b: 0.5 (both have the same effect)

3.2.3 Grade Division

According to the former's research on coupling co-

ordination degree, its level is divided, as shown in the

following table:

Table 1: Classification standard of coupling coordination degree [self-painted].

No. Coordination De

ree Coordination Level

1 0.00-0.09 Extremely out of balance

2 0.10-0.19 Severely disordered

3 0.20-0.29 Moderate Dissonance

4 0.30-0.39 Mild Dissonance

5 0.40-0.49 Nearly out of balance

6 0.50-0.59 Barely coordinated

7 0.60-0.69 Primary Coordination

8 0.70-0.79 Ultimate Coordination

9 0.80-0.89 Well coordinated

10 0.90-1.00 High-Quality Coordination

ICPDI 2022 - International Conference on Public Management, Digital Economy and Internet Technology

476

Table 2: Coupling degree and coupling coordination degree in the Sichuan-Chongqing region [self-painted].

Area

Yea

C and D 2013 2014 2015 2016 2017 2018 2019

Chongqing

(5 districts and counties)

C 0.511 0.775 0.907 0.941 0.914 0.93 0.931

D 0.191 0.258 0.336 0.373 0.432 0.494 0.546

Sichuan

(10 districts and counties)

C 0.999 0.993 0.986 0.965 0.996 1 1

D 0.66 0.679 0.743 0.792 0.901 0.954 0.995

4 COUPLING COORDINATION

EFFECT OF GREEN

AGRICULTURE AND RURAL

TOURISM IN SICHUAN AND

CHONGQING

Using SPSS software to analyze the coupling coor-

dination degree of the optimized data, the following

table is obtained.

From 2013 to 2019, the degree of coupling and

coordination in the Sichuan-Chongqing region has

steadily grown, showing that green agriculture and

rural tourism have shown a well coordinated devel-

opment trend. It is not difficult to see from the above

table that from the data of coupling degree alone, 12

values are greater than 0.8, showing a high level of

coupling, but among the values of coupling coordi-

nation degree, only 3 data are higher than 0.9,

showing a high-quality coordination state; 2 data

greater than 0.7, showing the ultimate coordination

state. The above results show that in the early stage,

due to imperfect policies in various aspects, and the

need for time to improve various infrastructure and

service quality after capital investment, the coupling

coordination degree was low; in the later stage, the

coupling and coordinated development of green

agriculture and rural tourism gradually showed high

quality.

5 RESEARCH CONCLUSIONS

AND POLICY

RECOMMENDATIONS

5.1 Research Conclusions

Combining the 15 districts mentioned above and

counties in the Sichuan-Chongqing region, the cou-

pling degree of green agriculture development, the

coupling degree of rural tourism development, and

the level of coupling and coordinated development

between the two can be seen: The coupling and co-

ordinated development between the two industries in

Sichuan Province are significantly higher than that in

Chongqing, which is related to the local physical and

geographical environment of Chongqing.

5.2 Policy Recommendations

5.2.1 Precise Policy Implementation

Based on the above results, the development level of

green agriculture and rural tourism in Chongqing is

relatively low. Because of the unique geographical

environment of Chongqing, the mountainous area has

more arable land and less area. It is necessary to

prescribe the right medicine and focus on improving

the innovative technology of green agriculture, (Liu,

2014) improve the infrastructure of its surrounding

environment, promote the development of green

agriculture through the development of rural tourism,

and use this to improve the quality of farmers, im-

prove the service quality of rural tourism, do an

excellent job in the introduction of high-quality tal-

ents and ensure publicity.

5.2.2 Digital Development

Under the background of big data, it is necessary to

use computing system technology to integrate and

analyze the data of green agricultural innovation

process, results, and rural tourism, solve problems in

time after finding problems and make up for the

inadequacy of policy formulation and the problematic

implementation in the implementation process—pain

points. Big data platforms, such as Weibo,

Xiaohongshu, do good publicity in the early stage,

increase publicity efforts, and form a unique local

brand and reputation. (Zhou, 2021)

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