







































 Humanities and Social Science Research; Vol. 8, No. 1; 2025 

ISSN 2576-3024   E-ISSN 2576-3032 

https://doi.org/10.30560/hssr.v8n1p9 

 9 Published by IDEAS SPREAD 

 

Research on the Measurement of Urban-Rural Integration Level in 

Sichuan Province 

Wang Lingyan1 

1 Chongqing Normal University, Chongqing, China 

Correspondence: Wang Lingyan, Chongqing Normal University, Chongqing, China. 

 

Received: December 17, 2024; Accepted: January 13, 2025; Published: January 15, 2025 

 

Abstract 

Promoting the integrated development of urban and rural areas is of great significance for narrowing the 

development gap between urban and rural areas, establishing a new type of urban-rural relationship, and achieving 

high-quality socialist modernization. This paper focuses on Sichuan Province and constructs an indicator system 

for the degree of urban-rural integration based on four dimensions: economic integration, social integration, 

population integration, and spatial integration. Then, using the entropy value method, it conducts a quantitative 

evaluation of the development status of urban-rural integration in the province from 2013 to 2022 to reveal the 

dynamic changes in its level of urban-rural integration. The results show that from 2013 to 2022, the overall level 

of urban-rural integration in Sichuan Province has shown an upward trend. Among the dimensions of urban-rural 

integration, social integration and spatial integration have achieved significant results, not only showing good 

current integration trends but also demonstrating rapid development speeds, presenting a positive development 

trend. In contrast, economic integration and population integration have performed less satisfactorily, with 

integration levels remaining at a relatively low level and slower development speeds, urgently requiring further 

optimization and improvement to achieve comprehensive and balanced urban-rural integration. The results 

indicate that the overall level of urban-rural integration in Sichuan Province is currently low, with disparities in 

regional development, unequal distribution of public services and infrastructure, and prominent issues of semi-

urbanization in different areas. 

Keywords: urban and rural integration, entropy value method, horizontal measurement 

1. Introduction 

Cities and rural areas, as two important components of the integration of urban and rural development, are 

indivisible yet contradictory entities. In 2019, the state officially issued a clear opinion aimed at "reconstructing 

the new type of urban-rural relationship," firmly "advancing towards the path of integrated urban-rural 

development," and fully "promoting rural revitalization and the modernization of agriculture and rural areas." [1] 

To guide the development of urban and rural areas and usher in a new chapter of integrated urban-rural 

development. In promoting the integration of urban and rural areas, constructing a comprehensive evaluation 

system for the level of urban-rural development to quantitatively analyze the depth and breadth of urban-rural 

integration is crucial for guiding the implementation of the rural revitalization strategy and achieving balanced 

urban-rural development. 

2. Literature Review 

The existing research on the integration of urban and rural areas is relatively abundant. Liu Minghui and Qiao Lu 

start from the evolution patterns of urban-rural relations, arguing that the integration of urban and rural areas is a 

powerful measure to address the imbalances and inadequacies in development, combining the theory and practice 

of urban-rural integration with Chinas path to modernization[2] Tu Shengwei believes that the integration of urban 

and rural areas should also pay attention to the comprehensive development of people and promote the mutual 

complementarity and coordinated development between urban and rural departments [3] Zhou Jianing and other 

scholars believe that the integration of multiple dimensions including economy, society, population, space and 

ecology is the high-quality development of urban-rural integration, so they constructed an evaluation index system 

of urban-rural integration including these five dimensions and selected 29 indicators for measurement [4] Li Junjie 

et al. proposed that in order to promote the integrated development of urban and rural areas in ethnic minority 

regions, 26 indicators were selected to conduct quantitative evaluation from three dimensions: the foundation of 

urban-rural integration, the driving factors of urban-rural integration, and the effects of urban-rural integration, so 



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as to accurately measure the development degree and trend of urban-rural integration in ethnic minority regions 

[5] Ye Chao and other scholars believe that the integrated development of urban and rural areas can promote the 

construction of socialist modernization, so they construct an index system from three dimensions of economy, 

society and population to measure the degree of urban-rural integration in the Yangtze River Delta region [6]错
误!未找到引用源。. 

Through the sorting and summary of literature on urban-rural integration and gray prediction, urban-rural 

integration mainly involves the research on urban-rural theory, connotation and development level measurement, 

but there is little systematic study on the level of urban-rural integration in Sichuan Province. 

3. Measurement of Urban-Rural Integration Level in Sichuan Province 

Urban-rural integration is a continuously evolving dynamic process whose development trend is influenced by 

multiple factors. To scientifically and reasonably promote urban-rural integration, it is essential to deeply 

understand its evolutionary patterns and identify and analyze the key factors and constraints affecting integration. 

This enables the government to formulate more precise and effective policies and measures, optimizing the 

allocation of urban-rural resources, strengthening economic ties between cities and rural areas, and facilitating the 

smooth flow of economic activities. Consequently, this achieves coordinated development between urban and rural 

areas, ultimately achieving the goal of urban-rural integration. This study, based on the actual conditions of 

Sichuan Province, has pioneered the construction of an evaluation index system covering four dimensions: 

economy, society, population, and space. Subsequently, the entropy value method was used to measure the degree 

of urban-rural integration in Sichuan Province. Finally, through the measurement results, a thorough analysis of 

the status of urban-rural integration development in Sichuan Province was conducted, and on this basis, the 

problems and challenges faced by Sichuan Province in advancing urban-rural integration were identified and 

outlined. 

3.1 Data Sources and Indicator Selection 

The main sources of data are the Sichuan Provincial Statistical Yearbook from 201 3 to 202 2, the China Statistical 

Yearbook, and the National Bureau of Statistics. Based on the principles of data availability, objectivity, and 

operability, this study draws on relevant literature reviews to construct an evaluation index system for the 

integration degree of urban and rural areas in Sichuan Province, as shown in Table 1. The goal level of the 

evaluation index system is the integration degree of urban and rural areas in Sichuan Province, the criterion level 

includes four dimensions of integration: economic, social, population, and spatial aspects, and the indicator level 

specifically comprises 19 indicators. 

 

Table 1. Evaluation index system of urban-rural integration in Sichuan Province 

Target level The criteria layer Indicator layer attribute 

  
X1Urban and rural per capita GDP / 

(yuan/person) 

forward 

direction 

  
X2Per capita consumption ratio of urban and 

rural households 

negative 

direction 

 
Urban-rural economic 

integration B1 

X3The ratio of per capita disposable income 

between urban and rural areas 

negative 

direction 

  
X4Engel coefficient ratio of urban and rural 

residents 

forward 

direction 

  X5Binary contrast coefficient 
forward 

direction 

  
X6The ratio of beds in urban and rural medical 

and health institutions 

negative 

direction 

 
Urban-rural social 

integration B2 

X7Urban and rural cultural and educational 

entertainment comparison coefficient 

negative 

direction 

  
X8Urban-rural per capita health care comparison 

coefficient 

negative 

direction 

Urban-rural 

integration A 
 

X9The ratio of the number of urban and rural 

residents receiving subsistence allowances 

negative 

direction 

  
X10Coverage of unemployment insurance for 

urban and rural residents 

forward 

direction 



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X11The ratio of nonfarm to agricultural 

employment 

forward 

direction 

 
Urban-rural population 

integration B3 
X12Urbanization level of population 

forward 

direction 

  X13Employment disparity coefficient 
negative 

direction 

  X14Land urbanization level 
forward 

direction 

  X15Traffic network density 
forward 

direction 

 
Urban-rural space 

integration B4 
X16turnover of passenger traffic 

forward 

direction 

  
X17Per capita private car ownership in urban and 

rural areas 

forward 

direction 

  X18Urban spatial expansion ratio 
forward 

direction 

  X19Cultivated land area ratio 
forward 

direction 

 

3.2 Research Methods 

In the existing related literature studies, entropy value method is often used for processing, followed by principal 

component analysis, Delphi method, and factor analysis. Considering the advantages and disadvantages of various 

evaluation methods and combining with the actual situation of urban-rural integration development research, this 

paper ultimately selects the entropy value method to analyze the indicators, and the specific calculation process 

and results are as follows: 

Step 1, standardize the data. In the data processing phase of the first step, this study adopts the deviation method 

to implement standardization operations on the data. Given that the standardized values obtained by the deviation 

method contain 0 values, which can have a certain impact in subsequent calculations, this paper optimizes the 

process by adding an additional 0.001 units to the standardized values. 

When it is a positive indicator: 𝑋′
𝑖𝑗𝑋′𝑖𝑗 =

𝑋𝑖𝑗−𝑚𝑖𝑛(𝑋𝑖𝑗)

𝑚𝑎𝑥(𝑋𝑖𝑗)−𝑚𝑖𝑛(𝑥𝑖𝑗)
+ 0.001 

  (2.1) 

When it is a negative indicator: 𝑋′
𝑖𝑗𝑋′𝑖𝑗 =

𝑚𝑎𝑥(𝑋𝑖𝑗)−𝑋𝑖𝑗

𝑚𝑎𝑥(𝑋𝑖𝑗)−𝑚𝑖𝑛(𝑥𝑖𝑗)
+ 0.001 

  (2.2) 

Among them, is the value after standardization; is the original value of the index; is the maximum value of the 

index; is the minimum value of the index. 𝑋′
𝑖𝑗𝑋𝑖𝑗𝑀𝑎𝑥(𝑥𝑖𝑗) j 𝑀𝑖𝑛(𝑥𝑖𝑗)𝑗 

The second step is to calculate the proportion of each research object under each index on the basis of 

standardization. 𝑗 𝑖 

 𝑃𝑖𝑗 =
𝑋𝑖𝑗

∑ 𝑋𝑖𝑗
𝑚
𝑖=1

      (2.3) 

The proportion is the constant indicating the number of subjects under the index. 𝑃𝑖𝑗𝑚 𝑗 

The third step is to calculate the information entropy of each indicator, as shown in the formula 𝐸𝑗𝑘 =
1

𝑙𝑛(𝑚)
 

 𝐸𝑗 = −𝑘 ∗ ∑ 𝑝𝑖𝑗 ∗ 𝑙𝑛( 𝑝𝑖𝑗)
𝑚
𝑖=1  (2.4) 

Among them, is the entropy value of the first index, is a constant indicating the number of subjects under the first 

index, and is the proportion of the first subject under the first index. 𝐸𝑗𝑗𝑜 ≤ 𝐸𝑗 ≤ 1𝑚 
j 𝑃𝑖𝑗𝑗 𝑖 

Step 4, calculate the difference coefficient. 𝑔𝑗 



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 𝑔𝑗 = 1 − 𝐸𝑗  (2.5) 

Step 5, calculate the weight value of each index. 𝑊𝑗 

 𝑊𝑗 =
𝑔𝑗

∑ 𝑔𝑗
𝑛
𝑗=1

 (2.6) 

Step 6, calculate the development level of urban-rural integration in four dimensions. The degree of integration of 

urban-rural integration in Sichuan province in four dimensions of economy, society, population and space is as 

follows 𝐹𝐵 

 𝐹𝐵=1,2,3,4, = ∑ 𝑤𝑗 ∗ 𝑥′𝑖𝑗
𝑚
𝑗=1  (2.7) 

Step 7, calculate the comprehensive measurement function of urban-rural integration development in Sichuan 

Province. 𝐹𝐴 

 
1

* '
m

A j ijj
F W x

=
=  (2.8) 

Using the above calculation formula, the data of 19 indicators for the level of urban-rural integration in Sichuan 

Province from 2013 to 2022 were calculated, obtaining the weights of each indicator, as shown in Table 2. Then, 

multiplying the weights by the standardized data, the integration degree of each dimension from 2013 to 2022 was 

obtained, and finally, the comprehensive score of Sichuan Provinces urban-rural integration from 2013 to 2022 

was derived, as shown in Table 3. 𝑊𝑗𝑊𝑗𝑋′𝑖𝑗  

 

Table 2. Weight table of indicators of integrated development level between urban and rural areas in Sichuan 

Province 

Target level 
The criteria 

layer 
Indicator layer 

Entropy 

value 

coefficient 

of 

variation 

weight 

  
X1Urban and rural per capita GDP / 

(yuan/person) 
0.915 0.085 0.060 

  
X2Per capita consumption ratio of urban 

and rural households 
0.920 0.080 0.056 

 

Urban-rural 

economic 

integration B1 

X3The ratio of per capita disposable 

income between urban and rural areas 
0.940 0.060 0.042 

  
X4Engel coefficient ratio of urban and 

rural residents 
0.964 0.036 0.025 

  X5Binary contrast coefficient 0.927 0.073 0.052 

  
X6The ratio of beds in urban and rural 

medical and health institutions 
0.898 0.102 0.072 

 

Urban-rural 

social 

integration B2 

X7Urban and rural cultural, educational 

and entertainment comparison 

coefficient 

0.968 0.032 0.023 

  
X8Urban-rural per capita health care 

comparison coefficient 
0.939 0.061 0.043 

Urban-rural 

integration A 
 

X9The ratio of the number of urban and 

rural residents receiving subsistence 

allowances 

0.899 0.101 0.071 

  
X10Coverage of unemployment 

insurance for urban and rural residents 
0.880 0.120 0.085 

  
X11The ratio of nonfarm to agricultural 

employment 
0.933 0.067 0.047 

 

Urban-rural 

population 

integration B3 

X12Urbanization level of population 0.921 0.079 0.056 

  X13Employment disparity coefficient 0.933 0.067 0.047 



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  X14Land urbanization level 0.930 0.070 0.050 

  X15Traffic network density 0.900 0.100 0.071 

 

Urban-rural 

space 

integration B4 

X16turnover of passenger traffic 0.956 0.044 0.031 

  
X17Per capita private car ownership in 

urban and rural areas 
0.934 0.066 0.047 

  X18Urban spatial expansion ratio 0.882 0.118 0.084 

  X19Cultivated land area ratio 0.948 0.052 0.037 

 

Table 3 Criteria layers and comprehensive evaluation values of urban-rural integration in Sichuan Province from 

2013 to 2022 

a particular 

year 

Urban-rural 

economic 

integration 

Urban-rural 

integration 

Urban-rural 

population 

integration 

Urban-rural space 

integration 

Overall 

score 

2013 0.024 0.033 0.015 0.146 0.218 

2014 0.061 0.059 0.030 0.172 0.321 

2015 0.084 0.068 0.047 0.183 0.383 

2016 0.102 0.108 0.074 0.181 0.465 

2017 0.122 0.137 0.094 0.186 0.540 

2018 0.133 0.201 0.117 0.193 0.644 

2019 0.165 0.258 0.134 0.186 0.742 

2020 0.225 0.234 0.154 0.207 0.821 

2021 0.227 0.261 0.163 0.219 0.870 

2022 0.222 0.264 0.150 0.217 0.854 

 

3.3 Measurement Result Analysis 

3.3.1 Analysis of the Overall Level of Integrated Urban and Rural Development in Sichuan Province 

The overall comprehensive trend of urban-rural integration development in Sichuan Province from 2013 to 2022 

is upward, rising from 0.218 in 2013 to 0.854 in 2022, as shown in Figure 1. Specifically, from 2013 to 2021, it 

shows an upward trend, increasing from 0.218 to 0.870. During these years, the upward trend was quite noticeable, 

with the integration levels of urban-rural economies, societies, populations, and spaces continuously increasing. 

From 2021 to 2022, it shows a downward trend, decreasing from 0.870 to 0.854. The decline in 2021 was due to 

pandemic control measures, leading to a general downward trend in urban-rural economies, populations, and 

spaces, ultimately resulting in an overall downward trend in the level of urban-rural integration development. 

 
Figure 1. Trend chart of comprehensive score of urban-rural integration in Sichuan Province from 2013 to 2022 

0.00

0.20

0.40

0.60

0.80

1.00

2013 2014 2015 2016 2017 2018 2019 2020 2021 2022

in
te

g
ra

te
d

 a
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es
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en
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v
a

lu
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a particular year

Trend chart of comprehensive score of 

urban-rural integration in Sichuan 

Province from 2013 to 2022



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3.3.2 Analysis of Urban and Rural Integration Development Criteria at Various Levels in Sichuan Province 

From 2013 to 2022, although the standard scores of various criteria of urban-rural integration development level 

in Sichuan province fluctuated slightly from year to year, the overall trend showed a steady improvement, as shown 

in Figure 2. The specific analysis is as follows. 

 

Figure 2. Trend chart of scores of various criteria layers of urban-rural integration in Sichuan Province from 

2013 to 2022 

 

The level of integrated urban-rural economic development. From 2013 to 2022, although Sichuans urban-rural 

economic integration level was at a moderate level among the four benchmark grades, it generally showed a steady 

upward trend. According to the data, the score for urban-rural economic integration increased from 0.024 in 2013 

to 0.222 in 2022. Based on the original data, Sichuan Provinces per capita GDP also saw annual growth, increasing 

from 32,750 yuan in 2013 to 67,777 yuan in 2022; the per capita consumption ratio of urban-rural households 

decreased from 2.186 in 2013 to 1.607 in 2022; and the per capita disposable income ratio between urban and rural 

areas decreased from 2.652 in 2013 to 2.315 in 2022. Over these 10 years, the economic development gap between 

urban and rural areas in Sichuan Province has become increasingly smaller, and the degree of urban-rural economic 

integration has continuously improved. 

The level of urban-rural social integration. From 2013 to 2022, Sichuan Provinces urban-rural social integration 

development level was at a moderate level in four benchmark aspects: economy, society, population, and space, 

with the largest fluctuation range. Specifically, from 2013 to 2017, the growth rate of urban-rural social integration 

was relatively slow. However, since the implementation of the Rural Revitalization Strategy in 2018, Sichuan 

Province has made significant progress in urban-rural social integration, with the urban-rural cultural and 

educational entertainment comparison coefficient and the urban-rural per capita medical care comparison 

coefficient continuously decreasing, and the minimum living security population and unemployment insurance 

coverage of urban and rural residents continuously increasing. Urban-rural infrastructure and healthcare have been 

continuously improving, promoting the enhancement of urban-rural social integration levels. 

The level of integrated development between urban and rural populations in Sichuan Province. From 2013 to 2022, 

the provinces score for integrated development between urban and rural populations was relatively low among the 

four benchmark layers of economy, society, population, and space, and its degree of integration was the lowest 

compared to others. However, the overall trend shows a yearly increasing trend, steadily rising from 0.015 in 2013 

to 0.150 in 2022. According to the raw data, the urbanization level of Sichuan Province increased from 32.5% in 

2013 to 42.1% in 2022, and the employment disparity coefficient also rose from-0.211 in 2013 to 0.066 in 2022. 

In recent years, the flow and migration of people between urban and rural areas have not only optimized the 

employment structure of urban and rural residents but also improved employment issues and promoted better 

integration of populations between urban and rural areas. 

The level of integrated development between urban and rural spaces. Sichuan Provinces score in urban-rural space 

integration stood out from 2013 to 2022, not only ranking among the top in four benchmark layers—economy, 

society, population, and space—but also showing the smallest fluctuation, indicating a stable growth trend. The 

0

0.1

0.2

0.3

2013 2014 2015 2016 2017 2018 2019 2020 2021 2022

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f 
ea

ch
 c

ri
te

ri
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la
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a particular year

Trend chart of scores of various criteria levels in 

Sichuan Province from 2013 to 2022

Economic integration Social integration

Population integration Spatial integration



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score steadily increased from 0.0146 in 2013 to 0.217 in 2022. According to the raw data, Sichuan Provinces 

overall land urbanization level rose from 0.042 in 2013 to 0.070 in 2022; the transportation network density 

increased from 0.042 in 2013 to 0.070 in 2022; and the urban spatial expansion ratio decreased from 4.554 in 2013 

to 2.998 in 2022. As the land urbanization rate continues to rise and the transportation network improves, the 

distance between cities and rural areas has significantly shortened. These efforts have gradually reduced the 

differences between cities and rural areas, leading to the gradual formation of a new pattern of integrated 

development between urban and rural spaces. 

4. Problems Existing in the Integrated Development of Urban and Rural Areas in Sichuan Province 

4.1 The Overall Level of Urban-Rural Integration is Low, and Regional Development Varies 

In recent years, thanks to a series of agricultural support policies, the economic and social landscape of rural areas 

has been completely renewed, achieving significant progress. However, the accelerating process of urbanization 

acts like a double-edged sword, bringing prosperity and development to towns while also triggering large-scale 

migration of rural populations to cities, directly leading to the "hollowing out" dilemma in rural areas. Moreover, 

the issue of population aging is becoming increasingly prominent in rural regions. At the same time, due to 

generally low levels of education and low productivity in small-scale farming, it is difficult to increase rural income 

relying solely on existing rural labor. Although farmers income levels have shown an upward trend compared to 

before, the relative income when compared to urban residents has not increased significantly but has instead 

worsened. According to raw data, the disposable income of urban and rural residents in Sichuan Province indeed 

shows a yearly increasing trend. The per capita disposable income of urban residents was 22,228 yuan in 2013, 

increasing to 43,233 yuan by 2022; the per capita disposable income of rural residents was 8,381 yuan in 2013, 

increasing to 18,672 yuan by 2022. The data shows that the absolute numerical gap between the two remains 

significant. In 2022, the disposable income of urban residents was 2.31 times that of rural residents, indicating that 

the income disparity between urban and rural areas has not fundamentally changed. 

4.2 There is still Room for Improvement in the Integration of Urban and Rural Areas, and there are Uneven 

Phenomena in the Supply of Public Services and Infrastructure 

The imbalance between urban and rural public services and infrastructure supply is a common problem in China, 

which is rooted in the long-term dual economic structure that has led to the long-term imbalance between urban 

and rural development [7] Although the country has been continuously introducing new policies to promote rural 

development in recent years, and rural areas have made certain progress, the relative gap between urban and rural 

areas is still widening compared to urban development. Compared to cities, Sichuan Province lags behind in public 

services such as healthcare and social security in rural areas. In terms of basic education, due to population 

migration and mobility, coupled with relatively backward conditions, rural areas lag behind in teacher strength 

and school hardware development. Although the expenditure ratio on cultural and educational entertainment 

between urban and rural residents in Sichuan Province from 2013 to 2022 has narrowed, decreasing from 5.26 in 

2013 to 1.88 in 2022, the expenditure amount of urban residents is still significantly higher than that of rural 

residents. In the field of healthcare, urban medical resources lead rural areas in terms of personnel allocation and 

equipment configuration. From 2013 to 2022, the per capita expenditure on medical care for both urban and rural 

residents has been increasing annually, but the expenditure of urban residents remains higher than that of rural 

residents. In 2013, the per capita expenditure on medical care for urban residents was 1019 yuan, which increased 

to 2343 yuan by 2022; in 2013, the per capita expenditure on medical care for rural residents was 557 yuan, which 

increased to 1878 yuan by 2022. Despite the growth in healthcare expenditure for rural residentsFaster, but urban 

residents expenditure on healthcare remains high, reflecting the disparity in healthcare consumption between urban 

and rural areas. In terms of social security, rural residents enjoy significantly lower social security benefits 

compared to urban areas. In the field of infrastructure construction, there has been noticeable improvement in 

aspects such as farmland water conservancy, road construction, rural power grids, and water supply. However, 

some rural areas still lack improvements in basic rural infrastructure, such as road hardening. 

4.3 The Level of Urban-Rural Integration Continues to Increase Steadily, but the Problem of Semi-Urbanization 

in Different Places is Prominent 

With the rapid economic development and urbanization of Sichuan Province, a large number of rural residents 

have migrated to cities, leading to a shortage of rural labor and exacerbating employment issues. The urbanization 

level of Sichuan Provinces population increased from 32.5% in 2013 to 42.1% in 2022. Although the proportion 

of urban population has risen, the economic and social disparities between urban and rural areas remain significant. 

There are still considerable gaps compared to cities in terms of infrastructure construction, public service levels, 

and job opportunities provided in rural areas. From 2013 to 2022, the number of employed urban residents in 



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Sichuan Province continuously increased, rising from 18.28 million in 2013 to 25.08 million in 2022, while the 

number of employed rural residents continuously decreased, dropping from 28.06 million in 2013 to 21.98 million 

in 2022. The trend of one-way migration of rural residents to cities is difficult to reverse. The long-term existence 

of the dual urban-rural structure has led to differences in many aspects between urban and rural areas, hindering 

the integration of urban and rural populations. This results in rural residents facing multiple obstacles such as 

cultural differences and social discrimination during their integration into urban societies, making it difficult for 

them to truly integrate into urban communities, which can also lead to an increase in social contradictions and 

instability. 

5. Conclusions 

This study constructs a comprehensive evaluation index system of urban-rural integration development in Sichuan 

Province from four dimensions: urban-rural economy, society, population and space, evaluates and analyzes the 

degree of urban-rural integration in Sichuan Province from 2013 to 2022, and finally draws a conclusion that the 

overall degree of urban-rural integration in Sichuan Province is on the rise from 2013 to 2022, and the integration 

of various dimensions also shows a fluctuating upward trend in varying degrees. However, the overall level of 

urban-rural integration in Sichuan Province is relatively low at present. In order to further promote the development 

of urban-rural integration in Sichuan Province in the future, we need to focus on a series of problems, such as 

regional development differences, uneven supply of urban-rural public services and infrastructure, and prominent 

problems of semi urbanization in different places, so as to better promote the integration of urban and rural areas 

in Sichuan Province. 

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and Science and Technology, 33(24), 115–118. 

 

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