Eunhou Esther Song 1/28/2019
This memo visualizes data used for Chapter 4 of my dissertation. This data was used to qualitatively categorize organizations according to service type, and was later used to obtain a category-wise list across districts in Shanghai.
The python scripts used to extract text from activity descriptions and government reports are in this repo. For an example of a government report please see here. The python code for parsing the govenrment report texts is in this repo here. The python code for parsing NGO activities is here.
The analysis procedure included the following:
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Web-scraping the official Shanghai social organization website which included information on the name of social organization, location, established date, activities, annual government reports that include supervisory organization, origin of funding at establishment, etc. The data set includes information on registered organizations up until March 11, 2017.
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Reading the activities of the organizations to categorize organizations by activity. Except for categorization by MOCA, there is no proper categorization for those that are not categorized. I read activities of 100 organizations that were not categorized, and categorized these organizations accordingly. The categories in the data includes:
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Six categories made by MOCA are elderly care, women and children, disabled, re-employment, poverty relief, legal
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public serviceThe former includes organizations that take on administrative roles, party-building, community governance, and social organization management. -
public welfareOrganizations that specifically mention public work (gongyi xiangmu) or public interest (gongyi). These three categorizes were created by finding organizations which mentioned the following word or words in their activities description. -
migrantMOCA does not categorize organizations for migrant workers, so these were categorized separately. There was one caveat when conding migrant NGOs. Most of these organizations were non-profit schools registered under Ministry of Education. To leave out schools, I created a separate variablesup_org_edwhich denotes organizations which have MOE as a supervisory organization. The charts below therefore displays NGOs that serve the migrant population leaving out schools for migrant children. -
propagandaOrganizations take on roles of propagating party-state policy doctrines
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Create
party affiliationcategory by using information on supervisory organization. Although having a party organization as a supervisory organizations does not imply direct affiliation nor being a direct subsidiary of a party organization (this is because, supervisory organization is needed for registration not for other purposes), yet the fact that having a party organization as a supervisory organization implies a connection. -
Parsing annual reports. The annual reports included information on origins of funding and number of memebrs, where responses were categorized as “individual”, “self-financed”, “government”, and “all of above”.
- The collected data includes description of activities these organizations pursue. Below are examples of these descriptions:
## [1] 学习和宣传人民代表大会制度；交流和总结人大工作经验；研究和考察地方人大工作实务。为人大工作制度化规范化建设发挥应有作用。（凡涉及行政许可的，凭行政许可开展业务活动。）
## [2] 社区工作者管理
## 3724 Levels: ...
- Below includes words that were used to categorize organizations based on activities:
# public service organizations
['社区管里',
'治安',
'综合治理',
'人口管理',
'外来人口登记管理',
'外来人口管理',
'公共管理',
'卫生管理',
'环境管理',
'登记管理',
'社会组织',
'民间组织',
'群众组织',
'消防',
'社会管理',
'社会组织',
'人民调解',
'矛盾调处',
'综合帮扶',
'综合协管服务',
'党建',
'社区事务',
'公共文化',
'公共文化服务',
'体育设施',
'社区环境',
'综合协管',
'社区矛盾调解',
'社会组织孵化',
'民生服务',
'民生类服务',
'社区民生服务',
'便民',
'便民服务',
'社区服务',
'社区居民服务',
'互助',
'公益类服务',
'公益性服务',
'市民综合帮扶',
'社区事务',
'综合服务',
'社会便民服务']
# public welfare organizations
['公益活动','公益性活动','公益类活动','公益项目']
# organizations assist migrant workers
['流动','外来','农民工']
# propaganda
['**道德',
'优生优育知识的宣传',
'人口计划生育',
'人口与计生',
'人口计生',
'政策宣传',
'精神文明建设',
'文明',
'宣传党的政策方针',
'宣传党的']
