Direct and Spillover Effects: How Do Community-Based Organizations Impact the Social Integration of Passive Migrants?
Abstract
:1. Introduction
2. Literature Review
2.1. The Four Dimensions of Social Integration of Passive Migration
2.2. The Role of CBOs in Social Integration
3. Methodology
3.1. Case Selection
3.2. Data Collection
3.3. Measurements of Variables
3.3.1. Social Integration Variables
3.3.2. Potential Explanatory Variables
3.4. Analytic Strategy
4. Findings
4.1. Socio-Demographics of Interviewees
4.2. Quantitative Findings
4.3. Qualitative Findings
4.3.1. The Mechanism of CBOs on the Social Integration of Participants
“When I first came here, I didn’t know anyone. People from the same village had been scattered. Being idle at home was very boring. Later, I joined the Sister Service Team in the community. I made many friends here, and we participated in various activities together, such as a square dance competition and folk song competition. Later, we often went to the county together to hang out and go shopping in our spare time. I am very happy with them, and gradually feel that this place has become our home (shy smile)…”(21 August 2020)
“I employed two middle-aged women who were part of the Community Sister Service Team to perform janitorial duties in the office space of the local committee. I have a close relationship with the leader of this organization, who often invites me to their internal meetings, thus enabling me to network with many members within the organization. Their level of cooperation towards my tasks was highly commendable, and I am willing to offer assistance that aligns with my ethical principles.”(26 August 2020)
“After relocating here, I had to take care of my grandson so I couldn’t work. Witnessing the ‘New Town Uncle’, advocating for mutual assistance in embracing a fresh start and fostering a cohesive community, I was deeply moved and promptly applied to become part of this esteemed organization... My primary role entails visiting various solitary elderly individuals’ residences every Tuesday and Friday, providing assistance with household chores to ensure their living spaces remain immaculate... I also need to keep myself clean because I represent the image of the New Town Uncle. I wash my face and shave every day. City people should have the appearance of city people.”(21 August 2020)
I came here in August last year, and honestly, I didn’t really know what to do at first. It felt like a total waste, just sitting on the street every day and watching people come and go... Later, I was mobilized to join the New Town Uncle and was assigned to patrol the community at night. Sometimes I also help the grassroots administrative officials with some work. Sure, I still don’t have any income, but at least now it feels like a real family here. And hey, I can actually contribute something to this family.(21 August 2020)
4.3.2. The Mechanism of CBOs Influencing the Social Integration of Non-Participants within the Same Community
“At our residential area’s entrance, there is a bus service available for travel to the county seat at a mere cost of 1 yuan per ticket. Initially, no one utilized this service as migrants seemed apprehensive about using public transportation, potentially leading to isolation between the new town and county areas. Consequently, we approached two CBOs within our community and encouraged their members to familiarize themselves with riding buses. As people witnessed numerous individuals utilizing this mode of transport within our community, they gained confidence and eventually embraced it as well.”(26 August 2020)
“Our community stands out as an exemplary model within this region. We have established neighborhood patrols that contribute to our overall safety. Furthermore, we are fortunate enough to witness the construction of several new fitness facilities exclusively available in our community compared to others... I consider myself extremely fortunate to be assigned to this exceptional community.”(24 August 2020)
5. Discussion
5.1. The Evident Spillover Effect of CBOs on the Social Integration of Migrants
5.2. Probability of CBOs Failing to Lift PAR Migrants out of Poverty
6. Implications
7. Limitation and Future Research
8. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Community | Formation Time | CBOs |
---|---|---|
XT | June 2018 | None |
HC | December 2018 | The New Town Uncle (conducts voluntary services within the community); Aunt Service team (voluntary services and recreational activities) |
TF | April 2019 | Folk Song and Dance Troupe (recreational activity) |
LT | December 2019 | None |
Four Dimensions | Indicators and Measurement | Mean | Min | Max | Sd | |
---|---|---|---|---|---|---|
Sub-Indicators | Description of Questions and Measurement | |||||
Economic integration | Economic pressure | After relocation, can your family make ends meet? (1 = Deficit; 2 = Balanced; 3 = Surplus) | 1.394 | 1 | 3 | 0.560 |
Human capital | The proportion of employed population in total household population. | 0.239 | 0 | 1 | 0.256 | |
Per capita employment income | The ratio of monthly employment income to employed population. | 441.572 | 0 | 9500 | 578.290 | |
Behavior adaptation | Daily activities with new friends | Pleased select the kind of activities you often do with your friends in resettlement community? (1 = Chat occasionally; 2 = Square dance/Play cards; 3 = participate the activities with CBO/work together) → The more options respondents selected, the higher the score. | 1.480 | 0 | 9 | 1.551 |
Change in lifestyles | After relocation, in what ways do you feel you have changed, please select the changes you have made: (1 = Eating; 2 = Dressing; 3 = Entertainment; 4 = Health habits; 5 = Children’s education; 6 = Others, please list) → The more options respondents selected, the higher. | 1.456 | 0 | 5 | 1.104 | |
Interaction with city dwellers | How often do you interact with people in the town? (1 = Never; 2 = Occasionally; 3 = Quiet often) | 1.593 | 1 | 3 | 0.609 | |
Life satisfaction after resettlement | Are you satisfied with your life in the resettlement community? (1 = Not satisfied at all; 2 = Not satisfied; 3 = Fair; 4 = Relatively satisfied; 5 = Very satisfied) | 2.879 | 1 | 5 | 0.915 | |
Neighborly interaction | New friends’ acquaintance | Have you made new friends after relocation? (1 = Haven’t made new friends; 2 = Have made new friends) | 1.774 | 1 | 2 | 0.419 |
Range of social interaction | Where are your new friends come from? (1 = From the same community; 2 = From the other community of the resettlement site; 3 = Both) → The more options respondents selected, the higher the score. | 1.953 | 1 | 3 | 0.661 | |
Neighborly interaction frequency | How often do you interact/meet with your new friends? (1 = Occasionally; 2 = Twice or three times a week; 3 = Everyday) | 2.296 | 1 | 3 | 0.904 | |
Identity recognition | Sense of belonging | After relocation, do you think you have become a city dweller? (1 = No, I am still a peasant; 2 = I am not sure; 3 = Yes, I am a city dweller) | 2.108 | 1 | 3 | 0.974 |
Perception of mate selection advantages | Do you think after moving into the resettlement site, it is helpful with looking for a partner in marriage? (1 = Not at all; 2 = Yes, it helps) | 1.751 | 1 | 2 | 0.748 | |
Psychological distance from mainstream society | What do you think people in the town think of you? (1 = They do not like us; 2 = They are kind) | 1.337 | 1 | 2 | 0.664 |
Variables | Variables and Measurement | Mean | Sd | VIF |
---|---|---|---|---|
Social integration variable | ||||
Social integration | Economic integration | 0 | 1 | / |
Neighborly interaction | 0 | 1 | / | |
Behavior adaptation | 0 | 1 | / | |
Identity recognition | 0 | 1 | / | |
Potential explanatory variables | ||||
Length of residence | Continuous variable: months | 8.611 | 5.000 | 2.74 |
CBOs participation | Dummy variable: participant = 1; nonparticipant = 0 | 0.159 | 0.366 | 2.10 |
CBOs existence | Dummy variable: when respondents do not participate in CBOs but CBOs exist within their community, it is 1. Otherwise, it is 0 | 0.189 | 0.392 | 2.34 |
Age | Continuous variable | 57.241 | 13.067 | 1.15 |
Gender | Dummy variable: male = 1; female = 0 | 0.457 | 0.499 | 1.07 |
Hukou | Dummy variable: rural area = 1; urban area = 0 | 0.101 | 0.302 | 1.04 |
Employment status | Dummy variable: off-farm employed = 1; unemployed = 0 | 0.216 | 0.412 | 1.20 |
Household income level | Ordinal variable: 1 = below 68 yuan/month; 2 = 68–201 yuan/month; 3 = 201–551 yuan/month; 4 = 551–1001 yuan/month; 5 = above 1001 yuan/month | 3.273 | 1.306 | 1.08 |
Four Dimensions of Social Integration | ||||||||
---|---|---|---|---|---|---|---|---|
Economic Integration | Social Interaction | Behavior Adaption | Identity Recognition | |||||
Model 1 | Model 2 | Model 3 | Model 4 | Model 5 | Model 6 | Model 7 | Model 8 | |
Length of residence | −0.013 ** | −0.005 | 0.050 *** | 0.011 | 0.078 *** | 0.022 | 0.079 *** | 0.042 ** |
(0.006) | (0.009) | (0.011) | (0.017) | (0.011) | (0.016) | (0.011) | (0.017) | |
Age | −0.001 | −0.001 | 0.019 *** | 0.018 *** | 0.015 *** | 0.014 *** | 0.003 | 0.003 |
(0.002) | (0.002) | (0.004) | (0.004) | (0.004) | (0.004) | (0.004) | (0.004) | |
Gender | −0.045 | −0.063 | −0.118 | −0.105 | −0.122 | −0.068 | −0.327 *** | −0.315 *** |
(0.055) | (0.056) | (0.110) | (0.110) | (0.104) | (0.103) | (0.107) | (0.107) | |
Employment status | 0.418 *** | 0.425 *** | 0.198 | 0.190 | 0.154 | 0.131 | 0.122 | 0.115 |
(0.071) | (0.071) | (0.142) | (0.140) | (0.135) | (0.131) | (0.138) | (0.135) | |
Household income level | 0.065 *** | 0.065 *** | 0.009 ** | 0.007 * | 0.007 * | 0.005 | −0.002 | −0.004 |
(0.002) | (0.002) | (0.004) | (0.004) | (0.004) | (0.004) | (0.004) | (0.004) | |
Hukou | 0.099 | 0.096 | 0.281 | 0.164 | 0.543 *** | 0.431 ** | 0.617 *** | 0.501 *** |
(0.093) | (0.094) | (0.185) | (0.185) | (0.176) | (0.173) | (0.180) | (0.179) | |
CBOs participation | −0.172 | 0.355 * | 0.726 *** | 0.341 * | ||||
(0.104) | (0.205) | (0.193) | (0.199) | |||||
CBOs existence | −0.029 | 0.740 *** | 0.807 *** | 0.730 *** | ||||
(0.105) | (0.207) | (0.194) | (0.201) | |||||
Cons | −2.044 *** | −2.072 *** | −1.796 *** | −1.567 *** | −1.768 *** | −1.477 *** | −0.727 ** | −0.502 * |
(0.148) | (0.152) | (0.295) | (0.298) | (0.280) | (0.280) | (0.287) | (0.289) | |
Adjusted R2 | 0.791 | 0.792 | 0.161 | 0.193 | 0.257 | 0.301 | 0.229 | 0.260 |
Observation | 287 | 287 | 287 | 287 | 287 | 287 | 287 | 287 |
AIC | 372 | 372 | 769 | 759 | 739 | 723 | 752 | 742 |
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Yang, C.; Xu, H. Direct and Spillover Effects: How Do Community-Based Organizations Impact the Social Integration of Passive Migrants? Sustainability 2024, 16, 4530. https://doi.org/10.3390/su16114530
Yang C, Xu H. Direct and Spillover Effects: How Do Community-Based Organizations Impact the Social Integration of Passive Migrants? Sustainability. 2024; 16(11):4530. https://doi.org/10.3390/su16114530
Chicago/Turabian StyleYang, Caining, and Hongyu Xu. 2024. "Direct and Spillover Effects: How Do Community-Based Organizations Impact the Social Integration of Passive Migrants?" Sustainability 16, no. 11: 4530. https://doi.org/10.3390/su16114530