30 datasets found
  1. Trust level in government in China 2016-2024

    • statista.com
    Updated May 16, 2025
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    Statista (2025). Trust level in government in China 2016-2024 [Dataset]. https://www.statista.com/statistics/1116013/china-trust-in-government-2020/
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    Dataset updated
    May 16, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    According to a global survey on the trust level on various aspects, about ** percent of the Chinese respondents trusted the government to do what is right in 2024, listed in the second place among 28 surveyed countries. The trust level has declined gradually since 2021, most probably due to the difficult economic situation in the country. On a global average level, about 52 percent of respondents showed trust in their government in 2024.

  2. Consumers' trust in traditional automakers to bring AV to market in China...

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Consumers' trust in traditional automakers to bring AV to market in China 2017-2019 [Dataset]. https://www.statista.com/statistics/1015673/china-level-of-trust-in-traditional-automakers-to-bring-fully-autonomous-vehicles-to-market/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    This statistic represents the results of a survey conducted in China from 2017 to 2019 on public trust in traditional automakers to bring fully autonomous vehicles to market. In the 2019 survey, around ** percent of Chinese respondents said they trusted the traditional automakers the most to bring self-driving vehicle technology to market.

  3. f

    Table_1_Public trust in the long-term care insurance pilot program in China:...

    • frontiersin.figshare.com
    docx
    Updated May 30, 2023
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    Rong Peng; Wansha Zhang; Xueqin Deng; Bei Wu (2023). Table_1_Public trust in the long-term care insurance pilot program in China: An analysis of mediating effects.DOCX [Dataset]. http://doi.org/10.3389/fpubh.2022.928745.s001
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    docxAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    Frontiers
    Authors
    Rong Peng; Wansha Zhang; Xueqin Deng; Bei Wu
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    ObjectiveThis study aimed to evaluate the implementation of the long-term care insurance (LTCI) pilot program in China through an examination of public trust in the system and its associated factors of insurance awareness and satisfaction with the LTCI policy.MethodAn online survey was used to collect data from 786 participants in the city of Guangzhou, one of the pilot sites of the LTCI. Ordinal logistic regression models were used to investigate the related factors of public trust in the LTCI. Structural equation modeling (SEM) was conducted to test the mediating effect of satisfaction with LTCI policy on the relationship between insurance awareness and public trust.ResultsMore than 60% of participants gave a positive evaluation of the LTCI pilot program. More than 70% of the participants recognized the important role of the program. Both an understanding of insurance and satisfaction with LTCI policies were associated with public trust. The proportion of the indirect effect with regard to the total effect of satisfaction on trust was 70.133%, greater than the direct effect of 29.867%.ConclusionsOur findings supported the hypothesis that satisfaction with the LTCI policy plays a mediating role between insurance awareness and public trust. Optimalization of the LTCI policy was recommended to improve public trust in the LTCI program.

  4. H

    Replication Data for: In Government We Trust: Implicit Political Trust and...

    • dataverse.harvard.edu
    Updated Apr 26, 2022
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    Haifeng Huang; Chanita Intawan; Stephen Nicholson (2022). Replication Data for: In Government We Trust: Implicit Political Trust and Regime Support in China [Dataset]. http://doi.org/10.7910/DVN/SJKRGG
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 26, 2022
    Dataset provided by
    Harvard Dataverse
    Authors
    Haifeng Huang; Chanita Intawan; Stephen Nicholson
    License

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

    Area covered
    China
    Description

    High levels of self-reported trust in government found in China has invited skepticism about the authenticity of survey results. To address this question, we examine implicit political trust, an automatic, intuitive orientation toward government. Using the Single-Target Implicit Association Test (ST-IAT), we found that the Chinese public holds an implicit trust in government that is unrelated to self-reported, explicit trust. Whereas early political socialization processes, represented by education and urban residency, increase implicit trust they also decrease explicit trust suggesting that agents of socialization have differential effects. Furthermore, performance evaluations, income, and social desirability affect explicit trust but have no effect on implicit trust. Controlling for explicit trust, we found that implicit trust matters for understanding various types of regime support including system justification, the social credit system, and government’s ability to handle crises. Our results have important implications for understanding regime support in the world’s largest authoritarian country.

  5. f

    Chinese general social survey data, CGSS.

    • plos.figshare.com
    • figshare.com
    bin
    Updated Mar 10, 2025
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    Manfei Cui; Yong Li (2025). Chinese general social survey data, CGSS. [Dataset]. http://doi.org/10.1371/journal.pone.0318221.s001
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    binAvailable download formats
    Dataset updated
    Mar 10, 2025
    Dataset provided by
    PLOS ONE
    Authors
    Manfei Cui; Yong Li
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This study aims to examine the impact of political trust on non-institutionalized public participation in China. Using comprehensive survey data from the Chinese General Social Survey (CGSS), this study presents two key research findings. First, this study finds a non-linear relationship between political trust and attitude towards non-institutionalized public participation. Generally, political trust has a negative effect on attitude towards non-institutionalized public participation. However, political trust exerts a positive impact on attitude towards non-institutionalized public participation under notably high political trust circumstances. Second, this study identifies the moderating role of social injustice experience in the relationship between political trust and the attitude towards non-institutionalized public participation. When high expectations associated with high trust are broken by a social injustice experience, this high political trust circumstance is more likely to result in dissatisfaction and positive attitude towards non-institutionalized public participation. This study contributes to deepening the understanding of the pattern of how political trust influences non-institutionalized public participation attitude in China. Valuable implications are also presented.

  6. Public doubts on government influence on science in China 2024

    • statista.com
    Updated Jan 27, 2025
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    Statista (2025). Public doubts on government influence on science in China 2024 [Dataset]. https://www.statista.com/statistics/1446611/public-concerns-about-government-influence-on-science-china/
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    Dataset updated
    Jan 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    In a global survey about the level of trust in various aspects in 28 countries released in January 2024, respondents from China expressed the least confidence that science is free from government interventions. About 67 percent of Chinese respondents agreed that science has become politicized in their country, compared to the global average of 53 percent.

  7. Trust in government worldwide 2024, by country

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Trust in government worldwide 2024, by country [Dataset]. https://www.statista.com/statistics/1362804/trust-government-world/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 25, 2024 - Nov 16, 2024
    Area covered
    World
    Description

    The level of trust in governments around the world varies from country to country. Interestingly, the more ************* countries have the highest levels of trust, which is most likely explained by an economic development in recent years and a lack of a critical press. On the bottom of the scale, Spain and Japan show ** and ** percent confidence, respectively. On average, the level of trust was just above ** percent in the 28 countries surveyed.

  8. d

    Replication Data for Political Trust and Public Support for Propaganda in...

    • search.dataone.org
    Updated Mar 6, 2024
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    Huang, Haifeng (2024). Replication Data for Political Trust and Public Support for Propaganda in China [Dataset]. http://doi.org/10.7910/DVN/JSOOGZ
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    Dataset updated
    Mar 6, 2024
    Dataset provided by
    Harvard Dataverse
    Authors
    Huang, Haifeng
    Description

    Replication data and codes for: "Political Trust and Public Support for Propaganda in China"

  9. China CN: Trust: Fund Trust: Invest To: TI: Public Administration and Social...

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). China CN: Trust: Fund Trust: Invest To: TI: Public Administration and Social Organization [Dataset]. https://www.ceicdata.com/en/china/investment-of-fund-trust/cn-trust-fund-trust-invest-to-ti-public-administration-and-social-organization
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    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 1, 2016 - Dec 1, 2018
    Area covered
    China
    Description

    China Trust: Fund Trust: Invest To: TI: Public Administration and Social Organization data was reported at 12,259.243 RMB mn in Dec 2018. This records an increase from the previous number of 12,204.738 RMB mn for Sep 2018. China Trust: Fund Trust: Invest To: TI: Public Administration and Social Organization data is updated quarterly, averaging 54,541.925 RMB mn from Sep 2014 (Median) to Dec 2018, with 18 observations. The data reached an all-time high of 99,170.770 RMB mn in Sep 2014 and a record low of 12,204.738 RMB mn in Sep 2018. China Trust: Fund Trust: Invest To: TI: Public Administration and Social Organization data remains active status in CEIC and is reported by China Trustee Association. The data is categorized under China Premium Database’s Financial Market – Table CN.ZT: Investment of Fund Trust.

  10. Trust Business Statistics of the Republic of China Trust Industry Commerce...

    • data.gov.tw
    csv
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    Banking Bureau, Financial Supervisory Commission, Executive Yuan, R.O.C., Trust Business Statistics of the Republic of China Trust Industry Commerce Association [Dataset]. https://data.gov.tw/en/datasets/13576
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    csvAvailable download formats
    Dataset provided by
    Banking Bureauhttps://www.banking.gov.tw/en/
    Banking Bureau, Financial Supervisory Commission
    Authors
    Banking Bureau, Financial Supervisory Commission, Executive Yuan, R.O.C.
    License

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

    Area covered
    Republic of China
    Description

    Public welfare trust business statistics (Trust Association of the Republic of China)

  11. f

    Data from: Institutional trust and prosocial behavior in China: an...

    • tandf.figshare.com
    docx
    Updated Mar 4, 2024
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    Yi Xu; Yichi Zhang (2024). Institutional trust and prosocial behavior in China: an experimental approach [Dataset]. http://doi.org/10.6084/m9.figshare.19388271.v1
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    docxAvailable download formats
    Dataset updated
    Mar 4, 2024
    Dataset provided by
    Taylor & Francis
    Authors
    Yi Xu; Yichi Zhang
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    China
    Description

    We present three studies to demonstrate the important role of institutional trust in promoting prosocial behavior in China. In study 1, we used a Chinese national survey and found that institutional trust significantly predicted people’s donation and volunteer activities. In study 2, we experimentally examined the effects of institutional trust in public goods games. Participants allocated more money to public accounts when a positive impression of institutions was implicitly activated than when a negative impression or no concepts were activated. In study 3, we tested the effects of institutional trust in a field experiment with a “pay what you want” strategy. In a charity bazaar, participants who received leaflets that implicitly activated institutional concepts paid more money.

  12. How Much Do People Value Future Generations? Climate Change, Trust, and...

    • demo.researchdata.se
    • researchdata.se
    Updated May 17, 2021
    + more versions
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    Malcolm Fairbrother (2021). How Much Do People Value Future Generations? Climate Change, Trust, and Public Support for Future-Oriented Policies - Data from China [Dataset]. http://doi.org/10.5878/ge21-mz09
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    Dataset updated
    May 17, 2021
    Dataset provided by
    Institute for Futures Studieshttps://iffs.se/
    Authors
    Malcolm Fairbrother
    Time period covered
    2019
    Area covered
    Sweden, Spain, Korea, the Republic of, China
    Description

    Do people care about future generations? Moral philosophers say we should, but it is unclear whether laypeople agree. In particular, humanity’s inadequate efforts to mitigate climate change could be due to public indifference or heavy discounting of future generations’ well-being. Using surveys and survey experiments in four countries—Sweden, Spain, South Korea, and China—we found that most people say they care about future generations, and would be willing to reduce their standard of living so that people can enjoy better lives in the future. However, not everyone who says they care supports two public actions that could be taken for the benefit of future generations: policies to reduce either global warming or national debt. We find evidence that much of people’s apparent lack of concern for future generations is actually due to distrust of major social institutions, and associated doubts about the effectiveness of future-oriented policies.

  13. Edelman trust index worldwide 2024-2025, by country

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). Edelman trust index worldwide 2024-2025, by country [Dataset]. https://www.statista.com/statistics/1362818/trust-index-edelman/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 25, 2024 - Nov 16, 2024
    Area covered
    Worldwide
    Description

    The Edelman trust index of 2025 shows a varied level of trust in the government, media, business, and non-governmental organizations (NGOs). China showed the highest average trust level at ** percent, followed by Indonesia at **. On the other hand, Japan had scores under ** percent.

  14. f

    How does citizen's emotional reactions affect government trust during...

    • figshare.com
    bin
    Updated Jan 14, 2023
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    晓君 张 (2023). How does citizen's emotional reactions affect government trust during COVID-19.dta [Dataset]. http://doi.org/10.6084/m9.figshare.21900576.v1
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    binAvailable download formats
    Dataset updated
    Jan 14, 2023
    Dataset provided by
    figshare
    Authors
    晓君 张
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The data of this study were obtained through an online questionnaire conducted by scholars in China from April 22 to April 28, 2020. The questions of the questionnaire were designed by an international team consisting of more than two dozen scholars, including front-line researchers in the city of Wuhan and other Chinese cities, as well as political culture and public health scholars from Canada and Sweden.

  15. C

    China Local Government Debt: Source of Fund: Trust, Leasing, FI financing &...

    • ceicdata.com
    Updated Sep 15, 2020
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    CEICdata.com (2020). China Local Government Debt: Source of Fund: Trust, Leasing, FI financing & Fund Raising [Dataset]. https://www.ceicdata.com/en/china/government-debt-national-audit-office/local-government-debt-source-of-fund-trust-leasing-fi-financing--fund-raising
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    Dataset updated
    Sep 15, 2020
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jun 1, 2013
    Area covered
    China
    Variables measured
    Public Sector Debt
    Description

    China Local Government Debt: Source of Fund: Trust, Leasing, FI financing & Fund Raising data was reported at 2,074,217.000 RMB mn in Jun 2013. China Local Government Debt: Source of Fund: Trust, Leasing, FI financing & Fund Raising data is updated semiannually, averaging 2,074,217.000 RMB mn from Jun 2013 (Median) to Jun 2013, with 1 observations. China Local Government Debt: Source of Fund: Trust, Leasing, FI financing & Fund Raising data remains active status in CEIC and is reported by National Audit Office. The data is categorized under China Premium Database’s Government and Public Finance – Table CN.FA: Government Debt: National Audit Office.

  16. Trust in media worldwide 2021-2024, by country

    • statista.com
    Updated Jun 26, 2025
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    Statista (2025). Trust in media worldwide 2021-2024, by country [Dataset]. https://www.statista.com/statistics/683336/media-trust-worldwide/
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    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    During a survey held in 2024, ** percent of respondents from China stated that they trusted the media as a source of reliable information. Chinese consumers were therefore the most likely to have faith in the media (joint with Indonesia), whereas those in the United Kingdom, Japan, Argentina, and South Korea were at the other end of the spectrum. Trust in media dropped between 2021 and 2023 in most countries surveyed in the study, in particular in Argentina, which saw a decline of ** percentage points in that time period. The impact of low trust From false information to political bias, navigating the news is tougher than ever, and journalists themselves also acknowledge the problem. Close to two thirds of journalists responding to a global survey said they believed the public lost trust in media in the last year. In an increasingly polarized news environment, consumers are growing fatigued and frustrated – a concern for publishers. More than ** percent of publishers worldwide admitted they were worried about news avoidance and fatigue and some are actively attempting to tackle the issue. Re-engaging news consumers A global survey found that the most important initiative to combat news avoidance and fatigue according to publishers was explanatory journalism, with ** percent of respondents identifying this as their main strategy. Q&A formats were also considered important, along with constructive, solution-focused journalism.

  17. f

    Table 1_How do Chinese people perceive their healthcare system? Inequality...

    • frontiersin.figshare.com
    • datasetcatalog.nlm.nih.gov
    docx
    Updated May 1, 2025
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    Shengxian Bi; Huawei Tan; Dandan Guo; Xinyi Peng; Qijiao Yang; Tsung-han Weng; Yingchun Chen (2025). Table 1_How do Chinese people perceive their healthcare system? Inequality in public satisfaction with healthcare security.docx [Dataset]. http://doi.org/10.3389/fpubh.2025.1529964.s001
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    docxAvailable download formats
    Dataset updated
    May 1, 2025
    Dataset provided by
    Frontiers
    Authors
    Shengxian Bi; Huawei Tan; Dandan Guo; Xinyi Peng; Qijiao Yang; Tsung-han Weng; Yingchun Chen
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    BackgroundSatisfaction with healthcare security is a critical indicator of the effectiveness of health systems. Social equity and trust and the financial burden of healthcare are key socioeconomic factors that can significantly influence residents’ perceptions of healthcare security. This study aims to investigate the impact of social equity and trust and medical burden on satisfaction with healthcare security and to analyze their potential interaction mechanisms.MethodsUsing data from 7,052 participants in the 2021 China General Social Survey, this study employed machine learning methods, including neural networks (NN), random forests (RF), and logistic regression (LR), to predict and classify satisfaction with healthcare security. Additionally, causal inference techniques were applied to identify the key determinants and estimate their effects on satisfaction levels, thereby uncovering the underlying causal mechanisms.ResultsThe predictive performance of the three machine learning methods was similar (p 

  18. f

    Table_1_Trust, Identity, and Public-Sphere Pro-environmental Behavior in...

    • frontiersin.figshare.com
    pdf
    Updated Jun 10, 2023
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    Yunfeng Xing; Mengqi Li; Yuanhong Liao (2023). Table_1_Trust, Identity, and Public-Sphere Pro-environmental Behavior in China: An Extended Attitude-Behavior-Context Theory.pdf [Dataset]. http://doi.org/10.3389/fpsyg.2022.919578.s001
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    pdfAvailable download formats
    Dataset updated
    Jun 10, 2023
    Dataset provided by
    Frontiers
    Authors
    Yunfeng Xing; Mengqi Li; Yuanhong Liao
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    China
    Description

    Changing human behavior is critical to mitigating the increasingly severe environmental harm. Although numerous studies focus on private-sphere or generalized pro-environmental behavior (PEB), relatively little research examines explicitly public-sphere PEB from a collective action perspective. This study incorporates trust and identity into the Attitude-Behavior-Context (ABC) theory to investigate Chinese residents’ participation in public-sphere PEB. Primary data collected from 648 residents in China tested the model empirically. The results indicate that social trust, environmentalist self-identity, and politicized identity positively predict public-sphere PEB and that institutional trust positively impacts non-activist behaviors but negatively relates to environmental activism. There is also evidence that trust and identity are moderators of attitude and public-sphere PEB. Specifically, social trust and environmentalist self-identity strengthen the effect of attitude on public-sphere PEB. Politicized identity increases the impact of attitude on environmental activism but not on non-activist behaviors, and there is no significant moderating effect of institutional trust. The findings deepen the understanding of public-sphere PEB and make more targeted policies accordingly.

  19. s

    Citation Trends for "SERVANT LEADERSHIP, TRUST, AND THE ORGANIZATIONAL...

    • shibatadb.com
    Updated Apr 15, 2014
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    Yubetsu (2014). Citation Trends for "SERVANT LEADERSHIP, TRUST, AND THE ORGANIZATIONAL COMMITMENT OF PUBLIC SECTOR EMPLOYEES IN CHINA" [Dataset]. https://www.shibatadb.com/article/sT9phFiN
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    Dataset updated
    Apr 15, 2014
    Dataset authored and provided by
    Yubetsu
    License

    https://www.shibatadb.com/license/data/proprietary/v1.0/license.txthttps://www.shibatadb.com/license/data/proprietary/v1.0/license.txt

    Time period covered
    2015 - 2025
    Area covered
    China
    Variables measured
    New Citations per Year
    Description

    Yearly citation counts for the publication titled "SERVANT LEADERSHIP, TRUST, AND THE ORGANIZATIONAL COMMITMENT OF PUBLIC SECTOR EMPLOYEES IN CHINA".

  20. 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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Statista (2025). Trust level in government in China 2016-2024 [Dataset]. https://www.statista.com/statistics/1116013/china-trust-in-government-2020/
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Trust level in government in China 2016-2024

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12 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
May 16, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
China
Description

According to a global survey on the trust level on various aspects, about ** percent of the Chinese respondents trusted the government to do what is right in 2024, listed in the second place among 28 surveyed countries. The trust level has declined gradually since 2021, most probably due to the difficult economic situation in the country. On a global average level, about 52 percent of respondents showed trust in their government in 2024.

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