<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">JSS</journal-id><journal-title-group><journal-title>Open Journal of Social Sciences</journal-title></journal-title-group><issn pub-type="epub">2327-5952</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/jss.2016.44027</article-id><article-id pub-id-type="publisher-id">JSS-66034</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Business&amp;Economics</subject><subject> Social Sciences&amp;Humanities</subject></subj-group></article-categories><title-group><article-title>
 
 
  Migrant Workers’ Social Capital and Urban Integration under the Background of Urbanization
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>ei</surname><given-names>Yuan</given-names></name><xref ref-type="aff" rid="aff1"><sub>1</sub></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib></contrib-group><aff id="aff1"><label>1</label><addr-line>School of Economics, Jinan University, Guangzhou, China</addr-line></aff><author-notes><corresp id="cor1">* E-mail:<email>yweijnu@163.com</email></corresp></author-notes><pub-date pub-type="epub"><day>13</day><month>04</month><year>2016</year></pub-date><volume>04</volume><issue>04</issue><fpage>185</fpage><lpage>191</lpage><history><date date-type="received"><day>24</day>	<month>March</month>	<year>2016</year></date><date date-type="rev-recd"><day>accepted</day>	<month>25</month>	<year>April</year>	</date><date date-type="accepted"><day>28</day>	<month>April</month>	<year>2016</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  Using the field survey data of ten districts in Guangzhou of 2014, this paper estimates the degree of urban integration of the migrant workers in Guangzhou. Conclusion finds that: social capital of migrant workers has significant impact on their integration into the city, and different types of social capital have different impacts on the different dimensions of urban Integration of migrant workers. Migrant workers’ integrated social capital mainly promotes the integration of economic dimension and has negative effects on the integration of psychological and cultural dimension. However, migrant workers’ bridged social capital can significantly promote psychological and cultural integration. Finally, this paper puts forward its policy recommendations about the urban integration of migrant workers.
 
</p></abstract><kwd-group><kwd>Migrant Workers</kwd><kwd> Social Capital</kwd><kwd> Urban Integration</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>The most important thing of urbanization is the urbanization of the humans that go into the city and engage in non-agricultural industries; this means the urbanization of their status, work, lifestyles and values [<xref ref-type="bibr" rid="scirp.66034-ref1">1</xref>] . In the traditional dual economic structure, urban integration is very difficult to the migrant workers [<xref ref-type="bibr" rid="scirp.66034-ref2">2</xref>] ; according to the statistics caliber of permanent residents living more than half a year, there are more than 700 million urban people in China, and the rate of urbanization exceeds 70%. However, the proportion of urban household population is only about 35% in the end of 2013. A large number of rural household registrations of migrant workers cannot enjoy public services and citizen rights that urban household population can enjoy [<xref ref-type="bibr" rid="scirp.66034-ref3">3</xref>] . This shows that the quality of China’s urbanization is not high and the foundation is not strong enough, so the government must promote the urbanization of migrant workers in order to promote the quality of urbanization [<xref ref-type="bibr" rid="scirp.66034-ref4">4</xref>] . Therefore, the study of the measure of the degree of urban integration and the factors that influence the urban integration of migrant workers is meaningful and urgent.</p></sec><sec id="s2"><title>2. Related Literature and Theory</title><sec id="s2_1"><title>2.1. Urban Integration</title><p>Most of the existing literatures classify urban integration into four dimensions: economic integration, social integration, psychological and cultural integration. Economic integration measures migrant workers’ income and the gap with urban population, social integration measures migrant workers’ job stability, working environment and social security, psychological integration measures migrant workers’ happiness, income satisfaction, life stress and living faith, cultural integration measures migrant workers’ community involvement, policy concerns, social interaction and language acquisition</p><p>But in specific analysis, some scholars think that the economic and social integration is easier to measure, and therefore their mainly focus on the economic and social integration [<xref ref-type="bibr" rid="scirp.66034-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.66034-ref6">6</xref>] . Also some scholars suggests that psychological and cultural integration is more important, so they emphasis on psychological and cultural integration [<xref ref-type="bibr" rid="scirp.66034-ref7">7</xref>] . Therefore, this paper also follows the previous practices that study the four dimension of urban integration: economic integration, social integration, psychological and cultural integration.</p></sec><sec id="s2_2"><title>2.2. Social Capital and Urban Integration</title><p>According to the junctions tightness of the relationship between individuals, social capital can be classified into strong and weak social capital [<xref ref-type="bibr" rid="scirp.66034-ref8">8</xref>] - [<xref ref-type="bibr" rid="scirp.66034-ref10">10</xref>] or original and new social capital [<xref ref-type="bibr" rid="scirp.66034-ref11">11</xref>] , and according to the openness and closeness of social network, social capital can be classified into integrated social capital and bridged social capital, the former is formed by closed network which consists of geographical and kinship and the later emphasizes the flow between different social groups caused by cross coupling [<xref ref-type="bibr" rid="scirp.66034-ref12">12</xref>] .</p><p>Both types of social capital play an important role on the process of urban integration of migrant workers, but the influence may be different, migrant workers’ integrated social capital mainly relies on the social network of home level, networks which consists of relatives and friends from their home can help promote their wage and find a new job in the city, but if this kind of social network can help migrant workers integrate into the local community and the city needs further study. On the other hand, some related studies [<xref ref-type="bibr" rid="scirp.66034-ref13">13</xref>] suggests that as to promote the migrant workers’ income, bridged social capital plays a more important role than integrated social capital. Then in the level of urban integration, whether these two social capitals have different impacts? Thus, in our empirical research, we study the influence that the two different social capitals have on the degree of urban integration.</p></sec></sec><sec id="s3"><title>3. Social Capital and the Measure of the Degree of Urban Integration</title><sec id="s3_1"><title>3.1. Classification and Definition of Social Capital</title><p>According to existing studies and combining with our survey data, we classify social capital into integrated social capital and bridged social capital, the social capital formed by closed social network that consist of geographical relations and kinship is defined as integrated social capital, and the social capital formed by open social network that is derived from the flowing between different groups is defined as bridged social capital [<xref ref-type="bibr" rid="scirp.66034-ref13">13</xref>] . Integrated social capital can be classified into two categories, one is the relatives and friends that live in the migrant workers’ home, the other is the relatives and friends living in the city, and bridged social capital is the relatives and friends living in Guangzhou. Specific definition is in <xref ref-type="table" rid="table1">Table 1</xref>.</p></sec><sec id="s3_2"><title>3.2. The Measure of the Degree of Urban Integration</title><p>This paper measures the degree of urban integration of migrant workers in Guangzhou 2014, and urban integration includes four dimensions: economic integration, social integration, psychological and cultural integration, then we get the total degree of urban integration by adding the four dimensions. The statistical data is in <xref ref-type="table" rid="table2">Table 2</xref>.</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Classification and definition of social capital<sup>1</sup></title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Classification of social capital</th><th align="center" valign="middle" >Variable</th><th align="center" valign="middle" >Definition</th></tr></thead><tr><td align="center" valign="middle"  rowspan="5"  >Integrated social capital</td><td align="center" valign="middle" >tie1</td><td align="center" valign="middle" >The total number of relatives and friends visit in Chinese New Year</td></tr><tr><td align="center" valign="middle" >tie2</td><td align="center" valign="middle" >The number of relatives and friends from home visit in Chinese New Year</td></tr><tr><td align="center" valign="middle" >tie3</td><td align="center" valign="middle" >The number of relatives living in the city visit in Chinese New Year</td></tr><tr><td align="center" valign="middle" >tie4</td><td align="center" valign="middle" >The number of friends living in the city visit in Chinese New Year</td></tr><tr><td align="center" valign="middle" >tie5</td><td align="center" valign="middle" >The total number of relatives and friends that had given help</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Bridged social capital</td><td align="center" valign="middle" >tie6</td><td align="center" valign="middle" >Whether have relatives or classmates in Guangzhou</td></tr><tr><td align="center" valign="middle" >tie7</td><td align="center" valign="middle" >The number of friends made after coming to Guangzhou</td></tr></tbody></table></table-wrap><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> The four dimensions of urban integration</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Index system</th><th align="center" valign="middle" >Means</th><th align="center" valign="middle" >Standard deviation</th><th align="center" valign="middle" >10 percentile</th><th align="center" valign="middle" >25 percentile</th><th align="center" valign="middle" >50 percentile</th><th align="center" valign="middle" >75 percentile</th><th align="center" valign="middle" >90 percentile</th></tr></thead><tr><td align="center" valign="middle" >Economic integration</td><td align="center" valign="middle" >0.500</td><td align="center" valign="middle" >0.234</td><td align="center" valign="middle" >0.189</td><td align="center" valign="middle" >0.347</td><td align="center" valign="middle" >0.494</td><td align="center" valign="middle" >0.662</td><td align="center" valign="middle" >0.835</td></tr><tr><td align="center" valign="middle" >Personal monthly income</td><td align="center" valign="middle" >0.500</td><td align="center" valign="middle" >0.288</td><td align="center" valign="middle" >0.098</td><td align="center" valign="middle" >0.244</td><td align="center" valign="middle" >0.418</td><td align="center" valign="middle" >0.760</td><td align="center" valign="middle" >0.901</td></tr><tr><td align="center" valign="middle" >Basic consumption</td><td align="center" valign="middle" >0.500</td><td align="center" valign="middle" >0.286</td><td align="center" valign="middle" >0.097</td><td align="center" valign="middle" >0.294</td><td align="center" valign="middle" >0.569</td><td align="center" valign="middle" >0.746</td><td align="center" valign="middle" >0.906</td></tr><tr><td align="center" valign="middle" >Social integration</td><td align="center" valign="middle" >0.455</td><td align="center" valign="middle" >0.188</td><td align="center" valign="middle" >0.237</td><td align="center" valign="middle" >0.332</td><td align="center" valign="middle" >0.434</td><td align="center" valign="middle" >0.537</td><td align="center" valign="middle" >0.659</td></tr><tr><td align="center" valign="middle" >Operating hours</td><td align="center" valign="middle" >0.496</td><td align="center" valign="middle" >0.287</td><td align="center" valign="middle" >0.195</td><td align="center" valign="middle" >0.195</td><td align="center" valign="middle" >0.459</td><td align="center" valign="middle" >0.719</td><td align="center" valign="middle" >0.904</td></tr><tr><td align="center" valign="middle" >Job stability</td><td align="center" valign="middle" >0.064</td><td align="center" valign="middle" >0.246</td><td align="center" valign="middle" >0.081</td><td align="center" valign="middle" >0.388</td><td align="center" valign="middle" >0.388</td><td align="center" valign="middle" >0.795</td><td align="center" valign="middle" >0.795</td></tr><tr><td align="center" valign="middle" >Working environment</td><td align="center" valign="middle" >0.513</td><td align="center" valign="middle" >0.287</td><td align="center" valign="middle" >0.076</td><td align="center" valign="middle" >0.358</td><td align="center" valign="middle" >0.358</td><td align="center" valign="middle" >0.766</td><td align="center" valign="middle" >0.766</td></tr><tr><td align="center" valign="middle" >Social Security</td><td align="center" valign="middle" >0.391</td><td align="center" valign="middle" >0.333</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0.351</td><td align="center" valign="middle" >0.754</td><td align="center" valign="middle" >0.754</td></tr><tr><td align="center" valign="middle" >Workload satisfaction</td><td align="center" valign="middle" >0.492</td><td align="center" valign="middle" >0.274</td><td align="center" valign="middle" >0.058</td><td align="center" valign="middle" >0.319</td><td align="center" valign="middle" >0.319</td><td align="center" valign="middle" >0.725</td><td align="center" valign="middle" >0.725</td></tr><tr><td align="center" valign="middle" >Psychological integration</td><td align="center" valign="middle" >0.467</td><td align="center" valign="middle" >0.179</td><td align="center" valign="middle" >0.230</td><td align="center" valign="middle" >0.328</td><td align="center" valign="middle" >0.479</td><td align="center" valign="middle" >0.590</td><td align="center" valign="middle" >0.679</td></tr><tr><td align="center" valign="middle" >Happiness</td><td align="center" valign="middle" >0.460</td><td align="center" valign="middle" >0.299</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0.283</td><td align="center" valign="middle" >0.283</td><td align="center" valign="middle" >0.707</td><td align="center" valign="middle" >0.707</td></tr><tr><td align="center" valign="middle" >Income satisfaction</td><td align="center" valign="middle" >0.491</td><td align="center" valign="middle" >0.282</td><td align="center" valign="middle" >0.135</td><td align="center" valign="middle" >0.135</td><td align="center" valign="middle" >0.504</td><td align="center" valign="middle" >0.504</td><td align="center" valign="middle" >0.879</td></tr><tr><td align="center" valign="middle" >Match of income and ability</td><td align="center" valign="middle" >0.513</td><td align="center" valign="middle" >0.284</td><td align="center" valign="middle" >0.086</td><td align="center" valign="middle" >0.405</td><td align="center" valign="middle" >0.405</td><td align="center" valign="middle" >0.806</td><td align="center" valign="middle" >0.806</td></tr><tr><td align="center" valign="middle" >Life stress</td><td align="center" valign="middle" >0.466</td><td align="center" valign="middle" >0.289</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0.347</td><td align="center" valign="middle" >0.347</td><td align="center" valign="middle" >0.764</td><td align="center" valign="middle" >0.764</td></tr><tr><td align="center" valign="middle" >Living faith</td><td align="center" valign="middle" >0.441</td><td align="center" valign="middle" >0.299</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0.268</td><td align="center" valign="middle" >0.693</td><td align="center" valign="middle" >0.693</td><td align="center" valign="middle" >0.693</td></tr><tr><td align="center" valign="middle" >Cultural integration</td><td align="center" valign="middle" >0.397</td><td align="center" valign="middle" >0.165</td><td align="center" valign="middle" >0.215</td><td align="center" valign="middle" >0.273</td><td align="center" valign="middle" >0.365</td><td align="center" valign="middle" >0.498</td><td align="center" valign="middle" >0.653</td></tr><tr><td align="center" valign="middle" >Community involvement</td><td align="center" valign="middle" >0.458</td><td align="center" valign="middle" >0.276</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0.437</td><td align="center" valign="middle" >0.437</td><td align="center" valign="middle" >0.437</td><td align="center" valign="middle" >0.885</td></tr><tr><td align="center" valign="middle" >Entertainment</td><td align="center" valign="middle" >0.474</td><td align="center" valign="middle" >0.302</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0.206</td><td align="center" valign="middle" >0.389</td><td align="center" valign="middle" >0.655</td><td align="center" valign="middle" >0.880</td></tr><tr><td align="center" valign="middle" >Policy concerns</td><td align="center" valign="middle" >0.225</td><td align="center" valign="middle" >0.363</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0.775</td><td align="center" valign="middle" >0.775</td></tr><tr><td align="center" valign="middle" >Social interaction</td><td align="center" valign="middle" >0.545</td><td align="center" valign="middle" >0.313</td><td align="center" valign="middle" >0.075</td><td align="center" valign="middle" >0.240</td><td align="center" valign="middle" >0.503</td><td align="center" valign="middle" >0.783</td><td align="center" valign="middle" >1</td></tr><tr><td align="center" valign="middle" >Language acquisition</td><td align="center" valign="middle" >0.482</td><td align="center" valign="middle" >0.387</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0.386</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >1</td></tr><tr><td align="center" valign="middle" >Sample size</td><td align="center" valign="middle" >479</td><td align="center" valign="middle" >479</td><td align="center" valign="middle" >479</td><td align="center" valign="middle" >479</td><td align="center" valign="middle" >479</td><td align="center" valign="middle" >479</td><td align="center" valign="middle" >479</td></tr></tbody></table></table-wrap></sec></sec><sec id="s4"><title>4. Empirical Analysis: Social Capital and Urban Integration</title><sec id="s4_1"><title>4.1. Descriptive Statistical Analysis of the Main Variables</title><p>The descriptive statistical analysis of the main variables shows that migrant workers’ ability to integrate into city is very poor as the income gap with the Guangzhou urban residents is large. as to the age, The average age of migrant workers is 30.5 years old, and as to the gender ratio, male migrant workers accounted for half. The average time migrant workers living in Guangzhou is 9.7 years, and more than half of migrant workers are already married, as to the education level, most migrant workers are high school graduates, which accounting for 48%,while only 7.5% of migrant workers are primary school graduates, it suggests that migrant workers’ human capital has been greatly improved. In the total sample, few migrant workers are self-employed and most migrant workers are from Guangdong Province (<xref ref-type="table" rid="table3">Table 3</xref>).</p></sec><sec id="s4_2"><title>4.2. The Impacts Social Capital Have on Urban Integration of Migrant Workers</title><p><xref ref-type="table" rid="table4">Table 4</xref> suggests that the total number of relatives and friends visit in Chinese New Year do not have significantly effect on urban integration, but the number of relatives and friends from their home and the relatives and friends living in the city have significant positive impact on urban integration, and the influence of the relatives and friends living in the city is bigger than the relatives and friends from their home, whether migrant works have relatives or friends living in Guangzhou do not have significant effect on integral urban integration, Social capital of migrant workers can indeed facilitate their integration into the city as a whole, and different social capital have different effect on migrant workers’ integral urban integration, migrant workers’ integrated social capital have significant positive effect on urban integration, and bridged social capital do not have significant effect. But it does not mean bridged social capital does not have effect on urban integration of migrant workers. This is probably that bridged social capital mainly promote psychological and cultural integration. This requires us to distinguish between different dimensions of urban integration.</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Statistical analysis</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Variables</th><th align="center" valign="middle" >Variable explanation</th><th align="center" valign="middle" >Sample size</th><th align="center" valign="middle" >Means</th><th align="center" valign="middle" >Standard deviation</th></tr></thead><tr><td align="center" valign="middle" >Integration</td><td align="center" valign="middle" >Integral urban integration (0 - 100)</td><td align="center" valign="middle" >479</td><td align="center" valign="middle" >44.971</td><td align="center" valign="middle" >8.552</td></tr><tr><td align="center" valign="middle" >Economic</td><td align="center" valign="middle" >Economic integration (0 - 100)</td><td align="center" valign="middle" >479</td><td align="center" valign="middle" >50.000</td><td align="center" valign="middle" >23.386</td></tr><tr><td align="center" valign="middle" >Social</td><td align="center" valign="middle" >Social integration (0 - 100)</td><td align="center" valign="middle" >479</td><td align="center" valign="middle" >45.507</td><td align="center" valign="middle" >18.762</td></tr><tr><td align="center" valign="middle" >Psychological</td><td align="center" valign="middle" >Psychological integration (0 - 100)</td><td align="center" valign="middle" >479</td><td align="center" valign="middle" >46.657</td><td align="center" valign="middle" >17.874</td></tr><tr><td align="center" valign="middle" >Cultural</td><td align="center" valign="middle" >Cultural integration (0 - 100)</td><td align="center" valign="middle" >479</td><td align="center" valign="middle" >39.690</td><td align="center" valign="middle" >16.460</td></tr><tr><td align="center" valign="middle" >Ability</td><td align="center" valign="middle" >The gap between personal income and the average income of Guangzhou</td><td align="center" valign="middle" >479</td><td align="center" valign="middle" >−1492.461</td><td align="center" valign="middle" >2246.773</td></tr><tr><td align="center" valign="middle" >Stay</td><td align="center" valign="middle" >The willing to stay in Guangzhou</td><td align="center" valign="middle" >479</td><td align="center" valign="middle" >0.593</td><td align="center" valign="middle" >0.492</td></tr><tr><td align="center" valign="middle" >Age</td><td align="center" valign="middle" >Age</td><td align="center" valign="middle" >479</td><td align="center" valign="middle" >30.5</td><td align="center" valign="middle" >8.910</td></tr><tr><td align="center" valign="middle" >Gender</td><td align="center" valign="middle" >Age (male is 1)</td><td align="center" valign="middle" >479</td><td align="center" valign="middle" >0.497</td><td align="center" valign="middle" >0.500</td></tr><tr><td align="center" valign="middle" >Years</td><td align="center" valign="middle" >The years from the first time to Guangzhou to now (years)</td><td align="center" valign="middle" >479</td><td align="center" valign="middle" >9.697</td><td align="center" valign="middle" >6.653</td></tr><tr><td align="center" valign="middle" >Married</td><td align="center" valign="middle" >Marital status (married is 1)</td><td align="center" valign="middle" >479</td><td align="center" valign="middle" >0.566</td><td align="center" valign="middle" >0.548</td></tr><tr><td align="center" valign="middle" >Health</td><td align="center" valign="middle" >Personal health status (1-5)</td><td align="center" valign="middle" >479</td><td align="center" valign="middle" >3.075</td><td align="center" valign="middle" >1.771</td></tr><tr><td align="center" valign="middle" >Education</td><td align="center" valign="middle" >Education level</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Primary and less</td><td align="center" valign="middle" >479</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >7.5%</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Junior high school</td><td align="center" valign="middle" >479</td><td align="center" valign="middle" >142</td><td align="center" valign="middle" >29.6%</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Senior middle school</td><td align="center" valign="middle" >479</td><td align="center" valign="middle" >230</td><td align="center" valign="middle" >48.0%</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >High school</td><td align="center" valign="middle" >479</td><td align="center" valign="middle" >71</td><td align="center" valign="middle" >14.9%</td></tr><tr><td align="center" valign="middle" >Self employ</td><td align="center" valign="middle" >Whether is self-employment (self employ is 1)</td><td align="center" valign="middle" >479</td><td align="center" valign="middle" >0.064</td><td align="center" valign="middle" >0.246</td></tr><tr><td align="center" valign="middle" >Cross</td><td align="center" valign="middle" >Whether is from Guangdong Province (cross is 1)</td><td align="center" valign="middle" >479</td><td align="center" valign="middle" >0.778</td><td align="center" valign="middle" >0.416</td></tr><tr><td align="center" valign="middle" >Area</td><td align="center" valign="middle" >Business survey or household survey (business is1)</td><td align="center" valign="middle" >479</td><td align="center" valign="middle" >0.486</td><td align="center" valign="middle" >0.500</td></tr><tr><td align="center" valign="middle" >Place</td><td align="center" valign="middle" >Dormitories or individual rental (dormitory is 1)</td><td align="center" valign="middle" >479</td><td align="center" valign="middle" >0.301</td><td align="center" valign="middle" >0.459</td></tr></tbody></table></table-wrap></sec><sec id="s4_3"><title>4.3. Analysis Different Dimensions of Urban Integration</title><p>The regression results in <xref ref-type="table" rid="table4">Table 4</xref> shows the effect social capital have on the four dimensions of urban integration: economic integration, social integration, psychological and cultural integration. And conclusion finds that only the relatives and friends from migrant workers’ home have significant positive effect on economic integration, economic integration suggests that migrant workers can base in the city, and have a stable job and income. migrant workers’ traditional social capital can help them find career opportunities, provide information and direct financial assistance so as to promote their integration into the city at the level of economic. But we also find that the traditional integrated social capital have significant negative impacts on psychological and cultural integration. The explanation may be that the more social ties migrant workers have with the relatives and friends from their home, the reliance is more serious migrant workers have on their rural home. And it is not conducive</p><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Effect social capital on integral urban integration of migrant workers</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >(1)</th><th align="center" valign="middle" >(2)</th><th align="center" valign="middle" >(3)</th><th align="center" valign="middle" >(4)</th><th align="center" valign="middle" >(5)</th><th align="center" valign="middle" >(6)</th></tr></thead><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Integration</td><td align="center" valign="middle" >Integration</td><td align="center" valign="middle" >Integration</td><td align="center" valign="middle" >Integration</td><td align="center" valign="middle" >Integration</td><td align="center" valign="middle" >Integration</td></tr><tr><td align="center" valign="middle" >tie1</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.381</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >(0.325)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >tie2</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.014<sup>**</sup></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >(0.006)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >tie3</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.099<sup>***</sup></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >(0.032)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >tie4</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.053<sup>***</sup></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >(0.018)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >tie6</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1.318</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >(0.939)</td></tr><tr><td align="center" valign="middle" >new</td><td align="center" valign="middle" >1.458</td><td align="center" valign="middle" >1.283</td><td align="center" valign="middle" >1.304</td><td align="center" valign="middle" >1.605</td><td align="center" valign="middle" >1.257</td><td align="center" valign="middle" >1.455</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >(1.381)</td><td align="center" valign="middle" >(1.377)</td><td align="center" valign="middle" >(1.365)</td><td align="center" valign="middle" >(1.369)</td><td align="center" valign="middle" >(1.372)</td><td align="center" valign="middle" >(1.371)</td></tr><tr><td align="center" valign="middle" >gender</td><td align="center" valign="middle" >0.574</td><td align="center" valign="middle" >0.426</td><td align="center" valign="middle" >0.403</td><td align="center" valign="middle" >0.478</td><td align="center" valign="middle" >0.524</td><td align="center" valign="middle" >0.507</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >(0.854)</td><td align="center" valign="middle" >(0.863)</td><td align="center" valign="middle" >(0.855)</td><td align="center" valign="middle" >(0.847)</td><td align="center" valign="middle" >(0.845)</td><td align="center" valign="middle" >(0.860)</td></tr><tr><td align="center" valign="middle" >married</td><td align="center" valign="middle" >−0.893</td><td align="center" valign="middle" >−0.942</td><td align="center" valign="middle" >−0.995</td><td align="center" valign="middle" >−0.958</td><td align="center" valign="middle" >−0.789</td><td align="center" valign="middle" >−0.908</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >(0.888)</td><td align="center" valign="middle" >(0.887)</td><td align="center" valign="middle" >(0.879)</td><td align="center" valign="middle" >(0.881)</td><td align="center" valign="middle" >(0.884)</td><td align="center" valign="middle" >(0.899)</td></tr><tr><td align="center" valign="middle" >education</td><td align="center" valign="middle" >2.529<sup>***</sup></td><td align="center" valign="middle" >2.558<sup>***</sup></td><td align="center" valign="middle" >2.357<sup>**</sup></td><td align="center" valign="middle" >2.261<sup>**</sup></td><td align="center" valign="middle" >2.264<sup>**</sup></td><td align="center" valign="middle" >2.228<sup>**</sup></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >(0.950)</td><td align="center" valign="middle" >(0.950)</td><td align="center" valign="middle" >(0.953)</td><td align="center" valign="middle" >(0.949)</td><td align="center" valign="middle" >(0.947)</td><td align="center" valign="middle" >(0.961)</td></tr><tr><td align="center" valign="middle" >years</td><td align="center" valign="middle" >0.040</td><td align="center" valign="middle" >0.034</td><td align="center" valign="middle" >0.042</td><td align="center" valign="middle" >0.059</td><td align="center" valign="middle" >0.013</td><td align="center" valign="middle" >0.038</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >(0.097)</td><td align="center" valign="middle" >(0.097)</td><td align="center" valign="middle" >(0.097)</td><td align="center" valign="middle" >(0.096)</td><td align="center" valign="middle" >(0.096)</td><td align="center" valign="middle" >(0.096)</td></tr><tr><td align="center" valign="middle" >health</td><td align="center" valign="middle" >0.446<sup>***</sup></td><td align="center" valign="middle" >0.443<sup>***</sup></td><td align="center" valign="middle" >0.438<sup>***</sup></td><td align="center" valign="middle" >0.462<sup>***</sup></td><td align="center" valign="middle" >0.454<sup>***</sup></td><td align="center" valign="middle" >0.435<sup>***</sup></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >(0.116)</td><td align="center" valign="middle" >(0.120)</td><td align="center" valign="middle" >(0.122)</td><td align="center" valign="middle" >(0.123)</td><td align="center" valign="middle" >(0.119)</td><td align="center" valign="middle" >(0.116)</td></tr><tr><td align="center" valign="middle" >area</td><td align="center" valign="middle" >−1.483<sup>*</sup></td><td align="center" valign="middle" >−1.529<sup>*</sup></td><td align="center" valign="middle" >−1.275</td><td align="center" valign="middle" >−1.481<sup>*</sup></td><td align="center" valign="middle" >−1.435<sup>*</sup></td><td align="center" valign="middle" >−1.396</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >(0.868)</td><td align="center" valign="middle" >(0.867)</td><td align="center" valign="middle" >(0.871)</td><td align="center" valign="middle" >(0.860)</td><td align="center" valign="middle" >(0.858)</td><td align="center" valign="middle" >(0.877)</td></tr><tr><td align="center" valign="middle" >cross</td><td align="center" valign="middle" >−1.262</td><td align="center" valign="middle" >−1.322</td><td align="center" valign="middle" >−1.249</td><td align="center" valign="middle" >−1.154</td><td align="center" valign="middle" >−0.833</td><td align="center" valign="middle" >−1.082</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >(0.980)</td><td align="center" valign="middle" >(0.973)</td><td align="center" valign="middle" >(0.978)</td><td align="center" valign="middle" >(0.958)</td><td align="center" valign="middle" >(0.997)</td><td align="center" valign="middle" >(0.981)</td></tr><tr><td align="center" valign="middle" >place</td><td align="center" valign="middle" >−2.233<sup>***</sup></td><td align="center" valign="middle" >−2.287<sup>***</sup></td><td align="center" valign="middle" >−2.267<sup>***</sup></td><td align="center" valign="middle" >−2.218<sup>***</sup></td><td align="center" valign="middle" >−2.313<sup>***</sup></td><td align="center" valign="middle" >−2.164<sup>**</sup></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >(0.857)</td><td align="center" valign="middle" >(0.858)</td><td align="center" valign="middle" >(0.851)</td><td align="center" valign="middle" >(0.843)</td><td align="center" valign="middle" >(0.854)</td><td align="center" valign="middle" >(0.868)</td></tr><tr><td align="center" valign="middle" >_cons</td><td align="center" valign="middle" >43.925<sup>***</sup></td><td align="center" valign="middle" >42.863<sup>***</sup></td><td align="center" valign="middle" >43.597<sup>***</sup></td><td align="center" valign="middle" >43.153<sup>***</sup></td><td align="center" valign="middle" >43.624<sup>***</sup></td><td align="center" valign="middle" >43.025<sup>***</sup></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >(2.096)</td><td align="center" valign="middle" >(2.330)</td><td align="center" valign="middle" >(2.105)</td><td align="center" valign="middle" >(2.091)</td><td align="center" valign="middle" >(2.085)</td><td align="center" valign="middle" >(2.223)</td></tr><tr><td align="center" valign="middle" >N</td><td align="center" valign="middle" >479</td><td align="center" valign="middle" >479</td><td align="center" valign="middle" >479</td><td align="center" valign="middle" >479</td><td align="center" valign="middle" >479</td><td align="center" valign="middle" >479</td></tr><tr><td align="center" valign="middle" >R<sup>2</sup></td><td align="center" valign="middle" >0.056</td><td align="center" valign="middle" >0.058</td><td align="center" valign="middle" >0.063</td><td align="center" valign="middle" >0.076</td><td align="center" valign="middle" >0.070</td><td align="center" valign="middle" >0.058</td></tr></tbody></table></table-wrap><p>for migrant workers to integrate into the city at the psychological and cultural level. On the contrary, the more friends and relatives living in the city or Guangzhou migrant workers have, the contact migrant workers with the city is more closely. Then the identity and participation can be improved and so do the urban integration at the psychological and cultural level. The empirical regression results also confirm this point that bridged social capital can significantly promote psychological and cultural integration. At the same time, further analysis of the data suggests that bridged social capital do not have significant effect on economic and social integration (<xref ref-type="table" rid="table5">Table 5</xref>).</p></sec></sec><sec id="s5"><title>5. Conclusion and Policy Suggestion</title><sec id="s5_1"><title>5.1. Conclusion</title><p>Using the field survey data of ten districts in Guangzhou of 2014, this paper estimates the degree of urban integration of the migrant workers in Guangzhou. Conclusion finds that: social capital of migrant workers has</p><table-wrap id="table5" ><label><xref ref-type="table" rid="table5">Table 5</xref></label><caption><title> The effect social capital on the four dimensions of urban integration</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >(1)</th><th align="center" valign="middle" >(2)</th><th align="center" valign="middle" >(3)</th><th align="center" valign="middle" >(4)</th></tr></thead><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Economic</td><td align="center" valign="middle" >Social</td><td align="center" valign="middle" >Psychological</td><td align="center" valign="middle" >Cultural</td></tr><tr><td align="center" valign="middle" >tie2</td><td align="center" valign="middle" >0.105<sup>***</sup></td><td align="center" valign="middle" >0.024</td><td align="center" valign="middle" >−0.084<sup>**</sup></td><td align="center" valign="middle" >−0.057<sup>**</sup></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >(0.035)</td><td align="center" valign="middle" >(0.037)</td><td align="center" valign="middle" >(0.037)</td><td align="center" valign="middle" >(0.027)</td></tr><tr><td align="center" valign="middle" >tie3</td><td align="center" valign="middle" >0.063</td><td align="center" valign="middle" >0.059</td><td align="center" valign="middle" >−0.032</td><td align="center" valign="middle" >0.173<sup>*</sup></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >(0.066)</td><td align="center" valign="middle" >(0.091)</td><td align="center" valign="middle" >(0.048)</td><td align="center" valign="middle" >(0.090)</td></tr><tr><td align="center" valign="middle" >tie4</td><td align="center" valign="middle" >0.060</td><td align="center" valign="middle" >0.073</td><td align="center" valign="middle" >−0.003</td><td align="center" valign="middle" >0.074<sup>*</sup></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >(0.044)</td><td align="center" valign="middle" >(0.076)</td><td align="center" valign="middle" >(0.036)</td><td align="center" valign="middle" >(0.041)</td></tr><tr><td align="center" valign="middle" >tie6</td><td align="center" valign="middle" >0.203</td><td align="center" valign="middle" >0.036</td><td align="center" valign="middle" >0.004<sup>**</sup></td><td align="center" valign="middle" >0.011<sup>**</sup></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >(0.139)</td><td align="center" valign="middle" >(0.038)</td><td align="center" valign="middle" >(0.002)</td><td align="center" valign="middle" >(0.005)</td></tr><tr><td align="center" valign="middle" >new</td><td align="center" valign="middle" >9.159<sup>***</sup></td><td align="center" valign="middle" >−2.408</td><td align="center" valign="middle" >−2.729</td><td align="center" valign="middle" >2.660</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >(3.360)</td><td align="center" valign="middle" >(2.944)</td><td align="center" valign="middle" >(2.724)</td><td align="center" valign="middle" >(2.302)</td></tr><tr><td align="center" valign="middle" >gender</td><td align="center" valign="middle" >8.541<sup>***</sup></td><td align="center" valign="middle" >−1.323</td><td align="center" valign="middle" >1.485</td><td align="center" valign="middle" >−0.919</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >(2.089)</td><td align="center" valign="middle" >(1.875)</td><td align="center" valign="middle" >(1.698)</td><td align="center" valign="middle" >(1.470)</td></tr><tr><td align="center" valign="middle" >married</td><td align="center" valign="middle" >3.809</td><td align="center" valign="middle" >0.234</td><td align="center" valign="middle" >−7.620<sup>***</sup></td><td align="center" valign="middle" >−1.544</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >(2.411)</td><td align="center" valign="middle" >(1.885)</td><td align="center" valign="middle" >(1.667)</td><td align="center" valign="middle" >(1.603)</td></tr><tr><td align="center" valign="middle" >education</td><td align="center" valign="middle" >4.344<sup>*</sup></td><td align="center" valign="middle" >−4.723<sup>**</sup></td><td align="center" valign="middle" >− 0.803</td><td align="center" valign="middle" >3.234<sup>**</sup></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >(2.300)</td><td align="center" valign="middle" >(2.108)</td><td align="center" valign="middle" >(1.985)</td><td align="center" valign="middle" >(1.560)</td></tr><tr><td align="center" valign="middle" >years</td><td align="center" valign="middle" >0.465<sup>*</sup></td><td align="center" valign="middle" >0.108</td><td align="center" valign="middle" >−0.214</td><td align="center" valign="middle" >0.212</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >(0.242)</td><td align="center" valign="middle" >(0.204)</td><td align="center" valign="middle" >(0.205)</td><td align="center" valign="middle" >(0.173)</td></tr><tr><td align="center" valign="middle" >health</td><td align="center" valign="middle" >0.078</td><td align="center" valign="middle" >0.146</td><td align="center" valign="middle" >0.581</td><td align="center" valign="middle" >1.111<sup>***</sup></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >(0.289)</td><td align="center" valign="middle" >(0.310)</td><td align="center" valign="middle" >(0.549)</td><td align="center" valign="middle" >(0.198)</td></tr><tr><td align="center" valign="middle" >area</td><td align="center" valign="middle" >− 8.611<sup>***</sup></td><td align="center" valign="middle" >−1.209</td><td align="center" valign="middle" >2.049</td><td align="center" valign="middle" >0.934</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >(2.192)</td><td align="center" valign="middle" >(1.969)</td><td align="center" valign="middle" >(1.814)</td><td align="center" valign="middle" >(1.573)</td></tr><tr><td align="center" valign="middle" >cross</td><td align="center" valign="middle" >5.606<sup>**</sup></td><td align="center" valign="middle" >−1.683</td><td align="center" valign="middle" >2.140</td><td align="center" valign="middle" >−11.307<sup>***</sup></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >(2.558)</td><td align="center" valign="middle" >(2.200)</td><td align="center" valign="middle" >(1.973)</td><td align="center" valign="middle" >(1.741)</td></tr><tr><td align="center" valign="middle" >place</td><td align="center" valign="middle" >−10.610<sup>***</sup></td><td align="center" valign="middle" >−0.612</td><td align="center" valign="middle" >−1.991</td><td align="center" valign="middle" >−1.044</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >(2.152)</td><td align="center" valign="middle" >(1.648)</td><td align="center" valign="middle" >(1.786)</td><td align="center" valign="middle" >(1.530)</td></tr><tr><td align="center" valign="middle" >_cons</td><td align="center" valign="middle" >29.602<sup>***</sup></td><td align="center" valign="middle" >50.108<sup>***</sup></td><td align="center" valign="middle" >53.264<sup>***</sup></td><td align="center" valign="middle" >40.472<sup>***</sup></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >(5.115)</td><td align="center" valign="middle" >(4.483)</td><td align="center" valign="middle" >(4.094)</td><td align="center" valign="middle" >(3.424)</td></tr><tr><td align="center" valign="middle" >N</td><td align="center" valign="middle" >479</td><td align="center" valign="middle" >479</td><td align="center" valign="middle" >479</td><td align="center" valign="middle" >479</td></tr><tr><td align="center" valign="middle" >R<sup>2</sup></td><td align="center" valign="middle" >0.202</td><td align="center" valign="middle" >0.046</td><td align="center" valign="middle" >0.083</td><td align="center" valign="middle" >0.164</td></tr></tbody></table></table-wrap><p>significant impact on their integration into the city, and different types of social capital have different impacts on the different dimensions of urban Integration of migrant workers. Social capital into integrated and bridged social capital and urban integration are classified into four dimensions: economic integration, social integration, psychological and cultural integration. Conclusion finds that migrant workers’ integrated social capital mainly promotes the integration of economic dimension and has negative effects on the integration of psychological and cultural dimension. However, migrant workers’ bridged social capital can significantly promote psychological and cultural integration.</p></sec><sec id="s5_2"><title>5.2. Policy Suggestion</title><p>In order to promote urban integration of migrant workers, the government should give appropriate guidance and support and note to enhance migrant workers’ social capital; specifically, government should provide vocational skills training and expand more employment channels for migrant workers to promote migrant workers’ human capital. On the other hand, policy makers should offer more opportunities and communication platform for migrant workers with household living in the city so as to promote migrant workers’ social capital.</p></sec></sec><sec id="s6"><title>Funding</title><p>This paper is funded by 2015 Guangdong college students technological innovation special fund (Climbing Program).</p></sec><sec id="s7"><title>Cite this paper</title><p>Wei Yuan, (2016) Migrant Workers’ Social Capital and Urban Integration under the Background of Urbanization. Open Journal of Social Sciences,04,185-191. doi: 10.4236/jss.2016.44027</p></sec><sec id="s8"><title>NOTES</title></sec></body><back><ref-list><title>References</title><ref id="scirp.66034-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Liu, C.J. (2010) Characteristics of the New Generation of Migrant Workers, Challenge and Citizenship. 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