5 datasets found
  1. m

    Data for: Direct or indirect? The impact of political connections on export...

    • data.mendeley.com
    Updated Mar 13, 2020
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    Yi Zhang (2020). Data for: Direct or indirect? The impact of political connections on export mode of Chinese private enterprises [Dataset]. http://doi.org/10.17632/8sp4n96hbj.1
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    Dataset updated
    Mar 13, 2020
    Authors
    Yi Zhang
    License

    Attribution-NonCommercial 3.0 (CC BY-NC 3.0)https://creativecommons.org/licenses/by-nc/3.0/
    License information was derived automatically

    Description

    Our firm-level data is taken from the Biennial National Survey of Chinese Private Enterprises. The survey was jointly organized and conducted by the United Front Work Department of the Central Committee of the Communist Party of China, the All-China Federation of Industry and Commerce, the State Administration of Industry and Commerce, and the Private Economy Research Institute of China. We work with three waves of survey data conducted in 2004, 2006, and 2008 due to information availability on export modes. The survey collects information from the previous year, so the firm information in our data corresponds to 2003, 2005, and 2007. The data is repeated cross-sectional in nature as firms are re-sampled nationally for each survey.

  2. H

    Data from: Networks of Coercion: Military Ties and Civilian Leadership...

    • dataverse.harvard.edu
    Updated Mar 5, 2025
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    Tyler Jost; Daniel Mattingly (2025). Networks of Coercion: Military Ties and Civilian Leadership Challenges in China [Dataset]. http://doi.org/10.7910/DVN/8MSBXV
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 5, 2025
    Dataset provided by
    Harvard Dataverse
    Authors
    Tyler Jost; Daniel Mattingly
    License

    https://dataverse.harvard.edu/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.7910/DVN/8MSBXVhttps://dataverse.harvard.edu/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.7910/DVN/8MSBXV

    Area covered
    China
    Description

    Abstract: Civilian-led coups are one of the most common routes to losing power in autocracies. How do authoritarian leaders secure themselves from civilian leadership challenges? We argue that autocrats differentiate civilian rivals in part by their social ties to the military. To reduce the threat of coup, leaders buy off civilians with strong military ties by promoting them to lower-tier institutions – but isolate these same civilians by denying them promotion to higher-tier institutions that afford opportunities to challenge the leader. We introduce an original dataset of over 117,000 postings of 34,140 Chinese military officers and map ties between the entire civilian and military elite between 1927 and 2014. We find that civilian leaders with strong ties to the military improve prospects for promotion to the Central Committee – but degrade the likelihood of promotion to the apex Politburo Standing Committee, particularly for civilians outside the leader’s social network.

  3. d

    Central Bank Open Data Consultation Group Meeting Minutes

    • data.gov.tw
    json
    Updated Jun 1, 2025
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    Central Bank of the Republic of China(Taiwan) (2025). Central Bank Open Data Consultation Group Meeting Minutes [Dataset]. https://data.gov.tw/en/datasets/18434
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    jsonAvailable download formats
    Dataset updated
    Jun 1, 2025
    Dataset authored and provided by
    Central Bank of the Republic of China(Taiwan)
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Description

    Central Bank Open Data Consultation Group Meeting Records

  4. f

    Data from: Metricizing Policy Texts: Comprehensive Dataset on China's...

    • springernature.figshare.com
    zip
    Updated May 21, 2024
    + more versions
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    Yehui Wu# (2024). Metricizing Policy Texts: Comprehensive Dataset on China's Agri-Policy Intensity Spanning 1982-2023 [Dataset]. http://doi.org/10.6084/m9.figshare.25512043.v1
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    zipAvailable download formats
    Dataset updated
    May 21, 2024
    Dataset provided by
    figshare
    Authors
    Yehui Wu#
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    China
    Description

    1, Chinese Academy of Agricultural Sciences, Document No. 1 of the Central Committee of China and Ministry of Agriculture and Rural Affairs of the People's Republic of China contain the original collection of relevant datasets. 2, The file Agricultural policy intensity dataset contains four contents, all of which are datasets obtained from the study of the paper "China's Agricultural Policy Intensity from 1982 to 2023". Chinese Academy of Agricultural Sciences file score collection. Chinese Academy of Agricultural Sciences file score collection.xlsx folder contains the scores of agricultural policy documents related to the Chinese Academy of Agricultural Sciences. collection of Central No.1 File Scores.xlsx folder contains the scores of policy documents related to the Central No.1 Document. Collection of Ministry of Agriculture and Rural Documentation scores.xlsx folder, contains scores corresponding to agricultural policy documents of the Ministry of Agriculture and Rural Affairs of China. Chinese Agricultural Policy Corpus and its scores.xlsx file contains the corpus of agricultural policies generated in the study "China's Agricultural Policy Intensity from 1982 to 2023" and the quantitative values of the corresponding words. 3, In the code folder, two files are included: corpus_building_code.docx and stop_words.txt. where corpus_building_code.docx contains the corpus building code for this paper, and stop_words.txt contains the stop words in the data preprocessing phase of the file. The whole code is in python language and runs on jupyter.

  5. i

    World Values Survey - Wave 7, 2018 - China

    • datacatalog.ihsn.org
    • catalog.ihsn.org
    Updated Oct 12, 2023
    + more versions
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    The World Values Survey (WVS) (2023). World Values Survey - Wave 7, 2018 - China [Dataset]. https://datacatalog.ihsn.org/catalog/11561
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    Dataset updated
    Oct 12, 2023
    Dataset authored and provided by
    The World Values Survey (WVS)
    Time period covered
    2018
    Area covered
    China
    Description

    Abstract

    The World Values Survey (WVS) is an international research program devoted to the scientific and academic study of social, political, economic, religious and cultural values of people in the world. The project’s goal is to assess which impact values stability or change over time has on the social, political and economic development of countries and societies. The project grew out of the European Values Study and was started in 1981 by its Founder and first President (1981-2013) Professor Ronald Inglehart from the University of Michigan (USA) and his team, and since then has been operating in more than 120 world societies. The main research instrument of the project is a representative comparative social survey which is conducted globally every 5 years. Extensive geographical and thematic scope, free availability of survey data and project findings for broad public turned the WVS into one of the most authoritative and widely-used cross-national surveys in the social sciences. At the moment, WVS is the largest non-commercial cross-national empirical time-series investigation of human beliefs and values ever executed.

    The project’s overall aim is to analyze people’s values, beliefs and norms in a comparative cross-national and over-time perspective. To reach this aim, project covers a broad scope of topics from the field of Sociology, Political Science, International Relations, Economics, Public Health, Demography, Anthropology, Social Psychology and etc. In addition, WVS is the only academic study which covers the whole scope of global variations, from very poor to very rich societies in all world’s main cultural zones.

    The WVS combines two institutional components. From one side, WVS is a scientific program and social research infrastructure that explores people’s values and beliefs. At the same time, WVS comprises an international network of social scientists and researchers from 120 world countries and societies. All national teams and individual researchers involved into the implementation of the WVS constitute the community of Principal Investigators (PIs). All PIs are members of the WVS.

    The WVS seeks to help scientists and policy makers understand changes in the beliefs, values and motivations of people throughout the world. Thousands of political scientists, sociologists, social psychologists, anthropologists and economists have used these data to analyze such topics as economic development, democratization, religion, gender equality, social capital, and subjective well-being. The WVS findings have proved to be valuable for policy makers seeking to build civil society and stable political institutions in developing countries. The WVS data is also frequently used by governments around the world, scholars, students, journalists and international organizations such as the World Bank, World Health Organization (WHO), United Nations Development Program (UNDP) and the United Nations Headquarters in New York (USA). The WVS data has been used in thousands of scholarly publications and the findings have been reported in leading media such as Time, Newsweek, The New York Times, The Economist, the World Development Report, the World Happiness Report and the UN Human Development Report.

    The World Values Survey Association is governed by the Executive Committee, the Scientific Advisory Committee, and the General Assembly, under the terms of the Constitution.

    Strategic goals for the 7th wave included:

    Expansion of territorial coverage from 60 countries in WVS-6 to 80 in WVS-7; Deepening collaboration within the international development community; Deepening collaboration within NGOs, academic institutions and research foundations; Updating the WVS-7 questionnaire with new topics & items covering new social phenomena and emerging processes of value change; Expanding the 7th wave WVS with data useful for monitoring the SDGs; Expanding capacity and resources for survey fieldwork in developing countries. The 7th wave continued monitoring cultural values, attitudes and beliefs towards gender, family, and religion; attitudes and experience of poverty; education, health, and security; social tolerance and trust; attitudes towards multilateral institutions; cultural differences and similarities between regions and societies. In addition, the WVS-7 questionnaire has been elaborated with the inclusion of such new topics as the issues of justice, moral principles, corruption, accountability and risk, migration, national security and global governance.

    For more information on the history of the WVSA, visit https://www.worldvaluessurvey.org/WVSContents.jsp ›Who we are › History of the WVSA.

    Geographic coverage

    China.

    The WVS has just completed wave 7 data that comprises 64 surveys conducted in 2017-2022. With 64 countries and societies around the world and more than 80,000 respondents, this is the latest resource made available for the research community.

    The WVS-7 survey was launched in January 2017 with Bolivia becoming the first country to conduct WVS-7. In the course of 2017 and 2018, WVS-7 has been conducted in the USA, Mexico, Brazil, Argentina, Chile, Ecuador, Peru, Andorra, Greece, Serbia, Romania, Turkey, Russia, Germany, Thailand, Australia, Malaysia, Indonesia, China, Pakistan, Egypt, Jordan, Nigeria, Iraq and over dozen of other world countries. Geographic coverage has also been expanded to several new countries included into the WVS for the first time, such as Bolivia, Greece, Macao SAR, Maldives, Myanmar, Nicaragua, and Tajikistan.

    Analysis unit

    Household, Individual

    Sampling procedure

    The sample type preferable for using in the World Values Survey is a full probability sample of the population aged 18 years and older. A detailed description of the sampling methodology is provided in the country specific sample design documentation available for download from WVS.

    A detailed description of the sampling methodology is provided in the China 2018 sample design documentation available for download from WVS and also from the Downloads section of the metadata.

    Mode of data collection

    Paper Assisted Personal Interview [papi]

    Research instrument

    The survey was fielded in the following language(s): Chinese. The questionnaire is available for download from the WVS website.

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Share
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Click to copy link
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Close
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Yi Zhang (2020). Data for: Direct or indirect? The impact of political connections on export mode of Chinese private enterprises [Dataset]. http://doi.org/10.17632/8sp4n96hbj.1

Data for: Direct or indirect? The impact of political connections on export mode of Chinese private enterprises

Related Article
Explore at:
Dataset updated
Mar 13, 2020
Authors
Yi Zhang
License

Attribution-NonCommercial 3.0 (CC BY-NC 3.0)https://creativecommons.org/licenses/by-nc/3.0/
License information was derived automatically

Description

Our firm-level data is taken from the Biennial National Survey of Chinese Private Enterprises. The survey was jointly organized and conducted by the United Front Work Department of the Central Committee of the Communist Party of China, the All-China Federation of Industry and Commerce, the State Administration of Industry and Commerce, and the Private Economy Research Institute of China. We work with three waves of survey data conducted in 2004, 2006, and 2008 due to information availability on export modes. The survey collects information from the previous year, so the firm information in our data corresponds to 2003, 2005, and 2007. The data is repeated cross-sectional in nature as firms are re-sampled nationally for each survey.

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