1. Introduction
The term “urban informality” originated in the 1960s in the U.S. [
1,
2] and involves the utilization of urban space by urban residents at their own will, ignoring the relevant laws. With rapid urbanization, more and more informal activities, such as informal housing, informal economy, informal community growing, etc., are gradually emerging in cities. According to statistics, approximately 1.8 billion people globally are engaged in informal activities [
3], of which 114 million people are informally employed in China [
4]. The 2009 UN-Habitat report on sustainable urban development identified informality and poverty, climate change, and resource scarcity as major challenges for cities [
5], which have gradually drawn the attention of various disciplines such as planning, landscaping, and geography. As a result, informality is becoming increasingly important in the field of future urban development.
Informal behavior is prevalent in Chinese cities, where informal community planting is gradually becoming a topic of contemporary concern [
6]. It refers to the spontaneous use of vacant and abandoned land (an irregular, small area of corner space) to cultivate fruits and vegetables for daily consumption without the permission of the community committee [
7]. Rather than improving the community environment, the main purpose of the planting is to obtain food. Consequently, conflicts and environmental damages may occur [
6,
8]. The reason for this phenomenon is related to China’s urbanization in recent decades. From 2010 to 2020, the Chinese population urbanization rate increased from 49.68% to 63.89% [
9]. Rapid urbanization over the past few decades has led to the continuous expansion of cities occupying the surrounding rural land, resulting in an influx of rural people into the cities. These individuals retain their rural farming habits and lifestyle, and reclaim abandoned urban space for cultivation. The phenomenon is prevalent in nearly all cities in China [
10,
11].
Informal community growing in China resembles community gardens in Europe and the United States. Community gardens are public lands in and around urban settlements that are planted and maintained by groups of residents, also known as community vegetable plots, where flowers, fruits, and vegetables can be grown, or any plot that provides food for the city. Research confirms that growing activities in community gardens are beneficial in improving residents’ mental and physical health [
12,
13,
14,
15] and social interaction [
13,
16]. Meanwhile, community gardens also play a role in recreation and leisure, providing green agricultural products [
17,
18], simulating community vitality [
19,
20], and promoting sustainable community development [
21]. Therefore, the construction of community gardens has become popular in many countries and regions [
22], including the United States [
23,
24,
25,
26], Canada [
27,
28], the United Kingdom [
29,
30,
31], Spain [
32], Australia [
33], Israel [
34], Singapore [
35], etc. Informal community growing in China is equivalent to a preliminary version of community gardens, where positive and negative effects coexist [
6]. The gardens are also vulnerable to official purges due to significant negative effects [
36]. Does informal community growing in China have the potential value of incorporating multi-purpose community gardens into urban agricultural systems? This topic deserves in-depth study.
Many early community gardens were gradually transformed into high-value informal community plantings (social, cultural, or economic and environmental value). For example, guerrilla gardening in Europe and America [
37,
38,
39], where residents illegally occupy public or private vacant and abandoned land in their communities without planning approval for planting, may damage the urban environment and the quality of green space [
40,
41]. However, some guerrilla gardens with social, economic, and environmental values have been approved as community gardens for the use of the residents after a consensus by the municipality [
42]. In some countries, community gardens have also evolved from private spaces for small groups to legal public open spaces for all, such as the City of Sydney, which encourages residents to organize themselves to manage, build, and operate community gardens, and empowers them as legitimate open spaces that can stand on their own. [
43]. In other developing countries, including Brazil, the Philippines, and Africa, high-value informal community growing has gradually gained the support of local governments and has become an effective vehicle for environmental improvement in urban communities [
22,
44].
In many Chinese cities, high-value informal community plantings are preserved as community gardens for residents to share. The phenomenon is now spread across all cities in China, such as Shanghai, Beijing, Guangdong, Zhejiang, Hunan, Sichuan, and other regions [
7]. Relevant rules are formulated by the neighborhood committee (Community Management Organization) with the purpose of regulating residents’ planting behavior, creating a good community environment together, consciously optimizing landscape design, and community residents working together to maintain and create orderly planting activities. Therefore, it is important to study informal community planting by judging attitudes of residents and investigating its current characteristics, which can provide a reference for the governance of informal community planting in China.
Current research on informal community growing in China has focused on the current horticultural environment, the types and distribution of fruits and vegetables grown, the composition of growers, the motivation for planting, and the attitudes of concerned residents. He et al., conducted a research study on informal community growing among residents of an emerging settlement in Hangzhou, China, and found that the environment of cultivation was more private, the planting was mainly daily edible vegetables, the cultivation population was mainly over 50 years old with a middle income of 3000–5000 RMB/month having lived in the city for more than 10 years, and that the residents chose cultivation because of personal preference, abundant leisure time, food safety, social interaction, and landscape shaping. They were accepted by more than half of the surrounding non-growers. The satisfaction of both growers and the surrounding non-growers was high, and it was recommended that residents be allowed to grow without damaging the public environment and under the organization of community committees [
6]. Yuan et al. studied the function, spatial distribution, planting forms and types, and attitudes of residents in informal community planting in an emerging residential area of Kunming, China. A small number of them were in public green areas and sidewalks, the planting forms were recycled containers and ground planting, and the planting types were mainly daily spices and vegetables [
8]. It was proposed that some informal community planting should be incorporated into the urban planning system to become urban agriculture.
The aforementioned related studies proposed governance measures for informal planting by analyzing the current characteristics of informal community growing, the composition of the relevant population, the satisfaction of growers and affected non-growers, and other factors in emerging settlements. However, informal planting is not only found in emerging settlements, but is also prevalent in other urban spaces, especially in the mountainous cities of southwest China [
45]. The author visited several areas in Chongqing, a mountainous city in southwest China (Changshou district, Wanzhou district, Qijiang district, and Yongchuan district), and found that the presence of informal community planting is extremely common, and residents usually plant on slopes and unused spaces above 25 degrees that are difficult to build on. These spaces are located throughout the city, especially in urban community parks and square slopes, sloping community public green spaces, and unused community edge slope spaces, where informal community planting may differ from the current situation and residents’ attitude in emerging settlements. There is a lack of research on the basics of informal community planting in mountainous cities in southwest China. Therefore, this paper attempts to study the basic characteristics of informal community planting and residents’ satisfaction in mountainous cities to provide suggestions for the governance of informal community planting.
Based on practical studies and surveys, this study selected a representative informal community growing area in Yongchuan District, Chongqing, for investigation and research, with the aim of:
- (1)
Exploring the basic characteristics of informal community planting in mountainous urban areas (characterized by the planting scale, topographical features of the cultivation site, food types, distribution, and planting methods).
- (2)
Understanding the structure of growers and growing motivation through questionnaire interviews and statistical analysis, and to understand the perceptions of affected non-growers on informal community planting.
- (3)
Assessing the satisfaction of residents (growers and surrounding affected non-growers) with the current situation of informal community growing through semantic differential questionnaires. The assessment of residents’ satisfaction with informal community growing requires the selection of component factors, including various social, environmental, and economic benefits, alongside increased food supply [
22,
46]. The cultivation process and satisfaction both increase when the benefit is higher. Moreover, the benefits associated with the two groups are obtained differently, and the specific factor composition needs to be determined according to the reasons for cultivation by the growers and the perception of the surrounding affected non-growers.
Based on the above-mentioned study, results of informal community planting characteristics and residents’ satisfaction in mountainous areas, and governance recommendations for informal community planting in mountainous areas, are presented in the discussion. This study can also be used as a reference for other mountainous regions in China or other similar countries for the renewal of informal community farming.
2. Research Methods
2.1. Study Framework
The study was divided into 3 phases (
Figure 1). The first phase was study area selection, which needed to meet the following requirements: (1) informal community growing covers a large area and uses sloping land that is difficult to build on. The study of the characteristics of planting in an area susceptible to erosion and soil quality damage will reveal the planting measures used by the population to prevent this problem and highlight the basic situation of informal planting in the mountains; (2) the study area is surrounded by a dense population and planted with a diverse demographic composition, covering almost all types of dwellers; and (3) the study area is located in the center of the city, where land value is high and is less likely to be planted than the distant suburbs.
The second phase was data collection, which included basic characteristics of informal community farming in the sample area (basic data on the natural topography of the sample area, food types and distribution, and planting methods), basic information about the respondents, reasons for planting, perceptions of non-growers, and satisfaction of residents (growers and non-growers) with informal community farming.
The third phase was data analysis, which contained spatial analysis of the natural environment and farming status of the site through GIS and statistical analysis of the questionnaire results through SPSS23.
2.2. Study Area
The study area was selected from Yongchuan, Chongqing in southwest China. Chongqing is one of the most developed cities in China and belongs to the center of the Chengdu-Chongqing Economic Circle. Chongqing is a typical mountainous city with undulating topography and many slopes that are difficult to build on [
47], resulting in the prevalence of vacant and abandoned land left behind. Through visits to Chongqing’s main city and some districts, it was found that sloping land and vacant and abandoned land were used by residents for growing (
Figure 2).
Yongchuan district is located in the western part of Chongqing, which is a sub-center city of Chongqing. Since the beginning of 2014, the growth rate of the population over 60 years of age has increased, while residents in other age groups have maintained a downward trend. From the data, it is clear that Yongchuan is a typical aging society [
48]. As a result of rapid urbanization, cities are expanding outward and taking up rural land, resulting in an influx of rural residents into the cities [
49], most of whom were once engaged in growing. As a result, informal community growing in Yongchuan has become increasingly common.
The built-up area of Yongchuan is 68.3 square kilometers, and informal community growing is common. According to the statistical analysis of the site data provided by the government, the area of informal community planting in urban areas is approximately 384.4 ha (949.8 acres), accounting for 5.6% of the built-up area of the city. The study area selected in Yongchuan forms only a part of it, approximately 46.93 hectares (74.55 acres are informal community planting sites) (
Figure 3). The study area was originally rural land and was later zoned as an urban park. Some areas have been built into urban parks and squares for leisure, and many sloping areas have been reserved for difficult construction. Due to the lack of management in the study area, residents around the area have used abandoned sloping land to plant, thus forming a large area of vegetable fields and fruit forests. The case area is a large area planted by the informal community of Yongchuan (approximately 7.85%).
By visiting the residential areas around the 500 m range of the study area (the probability of planting by the residents in this range is higher), it was found that various communities exist in the surrounding area, including self-built, relocated, and affordable housing communities, and normal and high-end commercial housing communities. The number of existing neighborhoods within the range is counted as 2778 households with a diverse population structure. Therefore, it is clear from the scale, characteristics, demographic features, and location of informal community cultivation that the area is representative.
2.3. Data Collection
We visited local authorities to obtain related basic data, including land use and topography, etc. Field research was undertaken to obtain basic information on planting species, distribution, and planting methods in the study area. The basic information of the interviewees and their satisfaction with informal community growing in the region were conducted through questionnaires. The questionnaires were divided into 2 categories based on the above. The first general questionnaire investigated the interviewees’ age, gender, occupation, income, household registration (Hukou), education, farming experience, reasons for cultivation, and perceptions of non-growers. The second questionnaire, based on the semantic differential method, investigated the satisfaction of growers and affected non-growers.
The survey covered the period from September 2020 to December 2020, with further supplementary research information from April 2021 and March 2022. A total of 500 questionnaires were distributed and 465 were collected, with a recovery rate of 93%. A total of 440 questionnaires were valid, with an effective rate of 94.6%. Among them, 270 questionnaires were distributed to growers (250 of which were valid with an effective rate of 92.6%) and 230 questionnaires were distributed to non-growers, 190 of which were valid (198 were originally collected, of which 8 were unfamiliar with informal planting in the study area and were not counted), with an effective rate of 82.6%, and all of which were greater than 70%. The interviewees were all residents within 500 m of the study area and closely associated with it.
2.4. Data Spatial and Statistical Analysis
Firstly, the basic characteristics of cultivation in the sample area were analyzed. The planting scale and topography of the site were analyzed according to the data provided by the government, the types of cultivation and their distribution characteristics were analyzed through field visits, and the cultivation methods were tracked. The basic information of respondents was analyzed by descriptive statistics using SPSS23 to determine the composition of growers, the reasons for cultivation, and the perception of non-growers.
Secondly, the composition of the satisfaction factors of residents was determined. According to related studies, it is known that the satisfaction of growers and non-growers consists of 5 components: food access, social, economic, and environmental benefits [
22,
46], and planting process. However, the planting characteristics, composition of growers, and motivation for planting in informal communities in mountainous areas differed significantly from other studied regions, as did the composition of specific factors in the 5 major factors. Moreover, growers and non-growers have disparate benefic orientations, and the factors that constitute satisfaction are also different. Therefore, it is necessary to further select relevant factors based on the reasons for cultivation by growers and the perceptions of non-growers (the reasons for cultivation by growers and the perceptions of non-growers have been determined by questionnaire statistics in a later section), and the selection of factors for the 5 major factors is shown in
Table 1.
Thirdly, the SPSS23 tool was used to determine the reliability and validity of questionnaires.
(1). Reliability test: Cronbach’s alpha coefficient (confidence coefficient) was calculated by reliability analysis with the following formula:
‘a’ represents the reliability coefficient, ‘K’ denotes the number of test questions, is the variance of the score for question ‘i’, and is the variance of the total score obtained for all questions. The reliability is between 0 and 1. The closer to 1, the better the reliability coefficient and the higher the internal factor reliability.
(2). Validity test: the Kaiser–Meyer–Olkin (KMO) value and Bartlett’s test of questionnaire factor validity by principal component analysis were used, and the KMO value was calculated as follows:
denotes simple correlation coefficient,
denotes partial correlation coefficient, when
, KMO ≈ 1, when
, KMO ≈ 0, and the KMO value is between 0 and 1. When the KMO value is greater than 0.70, it is acceptable and indicates a good relationship between the factors; when the KMO value is less than 0.50, the data is not suitable for factor analysis [
50].
Fourthly, the semantic differential (SD) method was used to calculate the satisfaction of residents.
The SD method was first used in psychological research in 1957 by Charles E. Osgood in his book [
51] to measure psychological feelings through verbal scales. Compared with traditional methods, the SD method can reflect the real demands of space users more prominently and has stronger applicability. Through this method, quantitative data on the respondents’ feeling constructs can be obtained to accurately determine the respondents’ satisfaction with something [
52]. The specific operation includes 3 steps. The first step is drawing up the rating scale and collecting the respondents’ psychological feelings and actual experiences about the characteristics of the spatial environment. The second step is quantifying their feelings by dividing the survey factors into 5 categories: very satisfied (2 points), satisfied (1 point), general satisfied (0 points), dissatisfied (−1 point), and very dissatisfied (−2 points). The third step is calculating the overall score of each factor according to the proportion of residents’ choices. The formula for calculating the composite score is as follows:
‘S’ denotes the composite score of each factor, ‘P’ refers to the percentage of each factor on different satisfaction options (P1–5 is the proportion of people on the 5 options), and ‘n’ is the number of factors.
Finally, the test of variance of residents’ satisfaction was acquired.
The test of variance refers to the study of differences in different dimensions of variables through tests such as independent sample
t-test, Chi-square test, and one-way ANOV. In this study, only independent sample
t-test and one-way ANOVA were applied according to the characteristics of the data. When the significance test is less than 0.05, it indicates that different variables have differences in satisfaction, and vice versa. Satisfaction of each variable was compared by a multiple comparisons test [
50].