27 datasets found
  1. f

    Financial inclusion indicators.

    • plos.figshare.com
    • figshare.com
    xls
    Updated Jun 23, 2025
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    Guibo Liu; Xiaoxian Gong; Guandong Wang (2025). Financial inclusion indicators. [Dataset]. http://doi.org/10.1371/journal.pone.0324815.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 23, 2025
    Dataset provided by
    PLOS ONE
    Authors
    Guibo Liu; Xiaoxian Gong; Guandong Wang
    License

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

    Description

    From the perspective of agricultural industrialization, based on China’s provincial data from 2006 to 2022, it studies the impact of financial inclusion on farmers’ income. We have found that financial inclusion can effectively promote the growth of farmers’ income, and this effect shows the heterogeneity of different income structures, income levels, and regional types. More importantly, agricultural industrialization is an important mechanism for financial inclusion to promote farmers’ income growth. However, the interactive effect of financial inclusion and agricultural industrialization has not promoted the growth of farmers’ income, indicating that there are certain structural problems in the current development of financial inclusion. We suggest that the development of financial inclusion should aim at the agricultural industrialization based on division of labor and cooperation. It can focus on supporting the development of local leading industries with regional comparative advantages, guide farmers to enter the agricultural industry chain, and improve farmers’ opportunities to share economic results.

  2. h

    Supporting Data for "Managing NPO-Funder Relations for Financial...

    • datahub.hku.hk
    Updated Jun 6, 2025
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    Shiqi Peng (2025). Supporting Data for "Managing NPO-Funder Relations for Financial Sustainability: Insights from Social Service Nonprofits in China" [Dataset]. http://doi.org/10.25442/hku.29133926.v1
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    Dataset updated
    Jun 6, 2025
    Dataset provided by
    HKU Data Repository
    Authors
    Shiqi Peng
    License

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

    Description

    As a sub-sector of nonprofit organizations (NPOs), social service nonprofits (SSNs) are essential agents in delivering human services and contributing to social welfare. However, they are struggling with acquiring and maintaining sustainable financial resources as a result of continuous welfare retrenchment. To date, little research has examined SSN-funder relations, relational management strategies, and their impact on organizational financial sustainability in non-democratic regimes characterized by contentious state-NPO relations and stringent regulations. This thesis is guided by an overarching research question: “How do social service nonprofit organizations manage their relations with multiple funders to achieve financial sustainability in a non-democratic context?” This thesis comprises three interconnected studies. First, a scoping review (Chapter 2) of 32 selected articles unearths the theoretical and empirical landscape of research on SSN–funder relations. This review synthesizes existing evidence and generates a new typology of SSN–funder relations: contract-based, partnership-based, transactional, and transformational. It also identifies both externally- and internally- oriented relational management strategies. Finally, this review theorizes the impact of SSN-Funder relations across four dimensions: service continuity, environmental adaptability, social impact expansion, and sustainable financial performance. Second, informed by Resource Dependence Theory and Embeddedness Theory, a quantitative study (Chapter 3) uses a cross-sectional secondary dataset of 681 SSNs in China to examine the impact of SSN-funder relations on organizational financial sustainability. Results found that greater reliance on a dominant funder was significantly associated with lower revenue generation (β = -0.5, p < 0.05), reduced surplus retention (β =-0.7, p < 0.001), and decreased operational efficiency (β = -0.0, p < 0.001). Revenue diversification was negatively related to surplus retention (β = -0.6, p < 0.01). Moreover, Party (β = 0.5, p < 0.001) and corporate embeddedness (β = 0.2, p < 0.001) were positively associated with revenue generation, while government embeddedness was negatively associated with revenue generation (β = -0.4, p < 0.001).Third, informed by Relationship Management Theory, a qualitative study (Chapter 4) comprising 30 in-depth interviews with SSN practitioners explores how various relational management strategies with funders impact organizational financial sustainability in China. It identifies a “relational strategy portfolio” with four strategies: trust-building, alignment, commitment reinforcement, and power-balancing. This study further conceptualized an inverted U-shaped relationship between the relational strategy complexity and organizational financial sustainability: as organizations choose to move from single to dual and then bundled strategies, their financial outcomes tend to improve. However, overly complex relational strategies may strain organizational capacity, leading to diminishing returns or even operational inefficiencies.This thesis makes three important contributions: Theoretically, it extends Resource Dependence Theory, Embeddedness Theory, and Relationship Management Theory by demonstrating how each offers complementary insights into SSN-funder relations and nonprofit financial sustainability in a non-democratic context. Empirically, this thesis identifies the typologies of SSN–funder relations and demonstrates how different relational management strategies shape organizational financial outcomes. Practically, this study provides actionable guidance for nonprofit practitioners, emphasizing the importance of a relational mindset and management strategies used to foster nonprofit financial sustainability in the social service sector and beyond.

  3. Chinese Solar Manufacturers Face Financial Losses Amid Trade Tensions - News...

    • indexbox.io
    doc, docx, pdf, xls +1
    Updated Jul 1, 2025
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    IndexBox Inc. (2025). Chinese Solar Manufacturers Face Financial Losses Amid Trade Tensions - News and Statistics - IndexBox [Dataset]. https://www.indexbox.io/blog/chinese-solar-manufacturers-struggle-amid-trade-tensions/
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    pdf, xls, xlsx, doc, docxAvailable download formats
    Dataset updated
    Jul 1, 2025
    Dataset provided by
    IndexBox
    Authors
    IndexBox Inc.
    License

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

    Time period covered
    Jan 1, 2012 - Jul 1, 2025
    Area covered
    China
    Variables measured
    Market Size, Market Share, Tariff Rates, Average Price, Export Volume, Import Volume, Demand Elasticity, Market Growth Rate, Market Segmentation, Volume of Production, and 4 more
    Description

    Chinese solar manufacturers, including Longi and JinkoSolar, are facing major financial losses due to trade tensions and tariffs, impacting their global market presence.

  4. T

    China Shanghai Composite Stock Market Index Data

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS (2025). China Shanghai Composite Stock Market Index Data [Dataset]. https://tradingeconomics.com/china/stock-market
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    xml, csv, excel, jsonAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Dec 19, 1990 - Jul 14, 2025
    Area covered
    China
    Description

    China's main stock market index, the SHANGHAI, rose to 3520 points on July 14, 2025, gaining 0.27% from the previous session. Over the past month, the index has climbed 3.86% and is up 18.35% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from China. China Shanghai Composite Stock Market Index - values, historical data, forecasts and news - updated on July of 2025.

  5. Enterprise Survey 2012 - China

    • datacatalog.ihsn.org
    • catalog.ihsn.org
    • +2more
    Updated Mar 29, 2019
    + more versions
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    World Bank (2019). Enterprise Survey 2012 - China [Dataset]. https://datacatalog.ihsn.org/catalog/3280
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    Dataset updated
    Mar 29, 2019
    Dataset authored and provided by
    World Bankhttp://worldbank.org/
    Time period covered
    2011 - 2013
    Area covered
    China
    Description

    Abstract

    This research was carried out in China between December 2011 and February 2013. Data was collected from 2,700 privately-owned and 148 state-owned firms.

    The objective of Enterprise Surveys is to obtain feedback from businesses on the state of the private sector as well as to help in building a panel of enterprise data that will make it possible to track changes in the business environment over time, thus allowing, for example, impact assessments of reforms. Through interviews with firms in the manufacturing and services sectors, the survey assesses the constraints to private sector growth and creates statistically significant business environment indicators that are comparable across countries.

    Usually Enterprise Surveys focus only on private companies, but in China, a special sample of fully state-owned establishments was included as this is an important part of the economy. Data on 148 state-owned enterprises is provided separately from the data of 2,700 private sector firms. To maintain comparability of the China Enterprise Surveys to surveys conducted in other countries, only the dataset of privately sector firms should be used.

    Geographic coverage

    Twenty-five metro areas: Beijing (municipalities), Chengdu City, Dalian City, Dongguan City, Foshan City, Guangzhou City, Hangzhou City, Hefei City, Jinan City, Luoyang City, Nanjing City, Nantong City, Ningbo City, Qingdao City, Shanghai (municipalities), Shenyang City, Shenzhen City, Shijiazhuang City, Suzhou City, Tangshan City, Wenzhou City, Wuhan City, Wuxi City, Yantai City, Zhengzhou City.

    Analysis unit

    The primary sampling unit of the study is an establishment.The establishment is a physical location where business is carried out and where industrial operations take place or services are provided. A firm may be composed of one or more establishments. For example, a brewery may have several bottling plants and several establishments for distribution. For the purposes of this survey an establishment must make its own financial decisions and have its own financial statements separate from those of the firm. An establishment must also have its own management and control over its payroll.

    Universe

    The whole population, or universe of the study, is the non-agricultural economy of firms with at least 5 employees and positive amounts of private ownership. The non-agricultural economy comprises: all manufacturing sectors according to the group classification of ISIC Revision 3.1: (group D), construction sector (group F), services sector (groups G and H), and transport, storage, and communications sector (group I). Note that this definition excludes the following sectors: financial intermediation (group J), real estate and renting activities (group K, except sub-sector 72, IT, which was added to the population under study), and all public or utilities sectors.

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    The sample for China ES was selected using stratified random sampling. Three levels of stratification were used in this country: industry, establishment size, and region.

    Industry stratification was designed in the following way: the universe was stratified into 11 manufacturing industries and 7 services industries as defined in the sampling manual. Each manufacturing industry had a target of 150 interviews. Sample sizes were inflated by about 20% to account for potential non-response cases when requesting sensitive financial data and also because of likely attrition in future surveys that would affect the construction of a panel. Note that 100% government owned firms are categorized independently of their industrial classification. The 148 surveyed state-owned enterprises were categorized as a separate sector group to preserve the representativeness of other sector groupings for the private economy.

    Size stratification was defined following the standardized definition for the rollout: small (5 to 19 employees), medium (20 to 99 employees), and large (more than 99 employees). For stratification purposes, the number of employees was defined on the basis of reported permanent full-time workers. This seems to be an appropriate definition of the labor force since seasonal/casual/part-time employment is not a common practice, except in the sectors of construction and agriculture.

    Regional stratification was defined in twenty-five metro areas: Beijing (municipalities), Chengdu City, Dalian City, Dongguan City, Foshan City, Guangzhou City, Hangzhou City, Hefei City, Jinan City, Luoyang City, Nanjing City, Nantong City, Ningbo City, Qingdao City, Shanghai (municipalities), Shenyang City, Shenzhen City, Shijiazhuang City, Suzhou City, Tangshan City, Wenzhou City, Wuhan City, Wuxi City, Yantai City, Zhengzhou City.

    The sample frame was obtained by SunFaith from SinoTrust.

    The enumerated establishments were then used as the frame for the selection of a sample with the aim of obtaining interviews at 3,000 establishments with five or more employees. The quality of the frame was assessed at the onset of the project through calls to a random subset of firms and local contractor knowledge. The sample frame was not immune from the typical problems found in establishment surveys: positive rates of non-eligibility, repetition, non-existent units, etc.

    Given the impact that non-eligible units included in the sample universe may have on the results, adjustments are needed when computing the appropriate weights for individual observations. The percentage of confirmed non-eligible units as a proportion of the total number of sampled establishments contacted for the survey was 31% (6,485 out of 20,616 establishments).

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    The following survey instruments are available: - Services Questionnaire, - Manufacturing Questionnaire, - Screener Questionnaire.

    The Services Questionnaire is administered to the establishments in the services sector. The Manufacturing Questionnaire is built upon the Services Questionnaire and adds specific questions relevant to manufacturing.

    The standard Enterprise Survey topics include firm characteristics, gender participation, access to finance, annual sales, costs of inputs/labor, workforce composition, bribery, licensing, infrastructure, trade, crime, competition, capacity utilization, land and permits, taxation, informality, business-government relations, innovation and technology, and performance measures. Over 90% of the questions objectively ascertain characteristics of a country’s business environment. The remaining questions assess the survey respondents’ opinions on what are the obstacles to firm growth and performance.

    Cleaning operations

    Data entry and quality controls are implemented by the contractor and data is delivered to the World Bank in batches (typically 10%, 50% and 100%). These data deliveries are checked for logical consistency, out of range values, skip patterns, and duplicate entries. Problems are flagged by the World Bank and corrected by the implementing contractor through data checks, callbacks, and revisiting establishments.

    Response rate

    The number of contacted establishments per realized interview was 7.24. This number is the result of two factors: explicit refusals to participate in the survey, as reflected by the rate of rejection (which includes rejections of the screener and the main survey) and the quality of the sample frame, as represented by the presence of ineligible units. The number of rejections per contact was 0.55.

    Item non-response was addressed by two strategies: a- For sensitive questions that may generate negative reactions from the respondent, such as corruption or tax evasion, enumerators were instructed to collect the refusal to respond as a different option from don’t know. b- Establishments with incomplete information were re-contacted in order to complete this information, whenever necessary.

    Survey non-response was addressed by maximizing efforts to contact establishments that were initially selected for interview. Attempts were made to contact the establishment for interview at different times/days of the week before a replacement establishment (with similar strata characteristics) was suggested for interview. Survey non-response did occur but substitutions were made in order to potentially achieve strata-specific goals.

  6. f

    Indicators of agricultural industrialization.

    • figshare.com
    xls
    Updated Jun 23, 2025
    + more versions
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    Guibo Liu; Xiaoxian Gong; Guandong Wang (2025). Indicators of agricultural industrialization. [Dataset]. http://doi.org/10.1371/journal.pone.0324815.t002
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    xlsAvailable download formats
    Dataset updated
    Jun 23, 2025
    Dataset provided by
    PLOS ONE
    Authors
    Guibo Liu; Xiaoxian Gong; Guandong Wang
    License

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

    Description

    From the perspective of agricultural industrialization, based on China’s provincial data from 2006 to 2022, it studies the impact of financial inclusion on farmers’ income. We have found that financial inclusion can effectively promote the growth of farmers’ income, and this effect shows the heterogeneity of different income structures, income levels, and regional types. More importantly, agricultural industrialization is an important mechanism for financial inclusion to promote farmers’ income growth. However, the interactive effect of financial inclusion and agricultural industrialization has not promoted the growth of farmers’ income, indicating that there are certain structural problems in the current development of financial inclusion. We suggest that the development of financial inclusion should aim at the agricultural industrialization based on division of labor and cooperation. It can focus on supporting the development of local leading industries with regional comparative advantages, guide farmers to enter the agricultural industry chain, and improve farmers’ opportunities to share economic results.

  7. Impact of Increased Tariffs on U.S. Retailers: A Closer Look - News and...

    • indexbox.io
    doc, docx, pdf, xls +1
    Updated Jul 1, 2025
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    IndexBox Inc. (2025). Impact of Increased Tariffs on U.S. Retailers: A Closer Look - News and Statistics - IndexBox [Dataset]. https://www.indexbox.io/blog/us-retailers-face-challenges-amid-rising-tariffs-on-vietnamese-and-chinese-imports/
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    doc, pdf, xls, docx, xlsxAvailable download formats
    Dataset updated
    Jul 1, 2025
    Dataset provided by
    IndexBox
    Authors
    IndexBox Inc.
    License

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

    Time period covered
    Jan 1, 2012 - Jul 1, 2025
    Area covered
    Vietnam
    Variables measured
    Market Size, Market Share, Tariff Rates, Average Price, Export Volume, Import Volume, Demand Elasticity, Market Growth Rate, Market Segmentation, Volume of Production, and 4 more
    Description

    U.S. retailers are struggling with increased tariffs on imports from Vietnam and China, leading to delayed orders and hiring freezes. This article examines the financial strain on companies and the potential impact on consumers.

  8. Sale price of newly built residential real estate in China 2023, by city

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Sale price of newly built residential real estate in China 2023, by city [Dataset]. https://www.statista.com/statistics/243404/sale-price-of-residential-real-estate-in-china/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    China
    Description

    In 2023, the average price for residential real estate in Shenzhen ****** yuan per square meter. This was the highest price among all major cities in China, with the average price across the country amounting to ****** yuan per square meter. A pillar of the Chinese economy China gradually abolished its welfare housing allocation system and liberalized its real estate market in the 1990s. In 2003, the government declared the real estate sector as one of the pillars of the Chinese economy. Thanks to the country's rapid economic development and urbanization, China's real estate market expanded significantly in the last two decades, with the sector accounting for about seven percent of China's GDP in 2022. Unaffordable in major urban centers While the real estate industry greatly contributed to the growth of China's economy, the housing market boom also created social issues and financial risks. In comparison to household income, property prices in major cities, most notably Shanghai, Beijing, Guangzhou, and Shenzhen, are extraordinarily expensive for average citizens. Soaring housing prices have also led to a rapid division of wealth between homeowners and renters. At the same time, debt problems created by the rapid expansion of real estate companies and the high levels of debt accumulated by Chinese citizens have created serious potential hazards for China's financial system.

  9. H

    Data from: Impact of IMF Programs on Perceived Creditworthiness of Emerging...

    • dataverse.harvard.edu
    Updated Dec 7, 2017
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    Harvard Dataverse (2017). Impact of IMF Programs on Perceived Creditworthiness of Emerging Market Countries: Is There a “Nixon-Goes-to-China” Effect? [Dataset]. http://doi.org/10.7910/DVN/QVLIL9
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    application/x-stata-syntax(1650), tsv(297408), pdf(163438)Available download formats
    Dataset updated
    Dec 7, 2017
    Dataset provided by
    Harvard Dataverse
    License

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

    Description

    This article examines whether the impact of International Monetary Fund (IMF) programs on the perceived creditworthiness of a country is conditional on government partisanship. Left-of-center governments tend to suffer from greater credibility problems in financial markets than right-wing governments, because they are typically believed to pursue expansionary policies and have less respect for debt obligations. Applying the conventional wisdom held as “Only Nixon can go to China,” I argue that adopting IMF programs can benefit leftist governments more than other types of governments. The logic of the Nixon paradox implies that market-oriented reforms have greater credibility when implemented by a left-of-center party, whose ideologies do not accord well with the IMF's neoliberal policies, than when implemented by a right-wing party. This is because market participants interpret the action by a leftist government as driven more by a willingness to commit to market-oriented reform than by ideological affinity. Using sovereign credit rating data for almost 90 emerging market countries from 1980 to 2004, I find robust evidence consistent with the “Nixon-Goes-to-China” hypothesis. The findings suggest that adopting IMF programs improves the perceived creditworthiness of leftist governments, whereas no such benefit is found among non-leftist governments.

  10. Countries with the lowest inflation rate 2023

    • statista.com
    • ai-chatbox.pro
    Updated Jul 4, 2024
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    Statista (2024). Countries with the lowest inflation rate 2023 [Dataset]. https://www.statista.com/statistics/268190/countries-with-the-lowest-inflation-rate/
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    Dataset updated
    Jul 4, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Worldwide
    Description

    The statistic lists the 20 countries with the lowest inflation rate in 2023. In 2023, China ranked 5th with a inflation rate of about 0.23 percent compared to the previous year. Inflation rates and the financial crisis Due to relatively stagnant worker wages as well as a hesitation from banks to so easily distribute loans to the ordinary citizen, inflation has remained considerably low. Low inflation rates are most apparent in European countries, which stems from the on-going Eurozone debt crisis as well as from the global financial crisis of 2008. With continuous economical struggles and a currently sensitive economic situation throughout Europe, precautions were taken in order to maintain stability and to prevent consequential breakdowns, such as those in Greece and Spain. Additionally, the average European consumer had to endure financial setbacks, causing doubt in the general future of the entire European Union, as evident in the consumer confidence statistics, which in turn raised the question, if several handpicked countries should step out of the EU in order to improve its economic position. Greece, while perhaps experiencing the largest economic drought out of all European countries, improved on its inflation rate. The situation within the country is slowly improving itself as a result of a recent bailout as well as economic stimulus packages issued by the European Union. Furthermore, the Greek government managed its revenues and expenses more competently in comparison to the prime of the global and the Greek financial crisis, with annual expenses only slightly exceeding yearly revenues.

  11. f

    Regression results of mediating effect.

    • plos.figshare.com
    • figshare.com
    xls
    Updated Jun 23, 2025
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    Guibo Liu; Xiaoxian Gong; Guandong Wang (2025). Regression results of mediating effect. [Dataset]. http://doi.org/10.1371/journal.pone.0324815.t009
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 23, 2025
    Dataset provided by
    PLOS ONE
    Authors
    Guibo Liu; Xiaoxian Gong; Guandong Wang
    License

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

    Description

    From the perspective of agricultural industrialization, based on China’s provincial data from 2006 to 2022, it studies the impact of financial inclusion on farmers’ income. We have found that financial inclusion can effectively promote the growth of farmers’ income, and this effect shows the heterogeneity of different income structures, income levels, and regional types. More importantly, agricultural industrialization is an important mechanism for financial inclusion to promote farmers’ income growth. However, the interactive effect of financial inclusion and agricultural industrialization has not promoted the growth of farmers’ income, indicating that there are certain structural problems in the current development of financial inclusion. We suggest that the development of financial inclusion should aim at the agricultural industrialization based on division of labor and cooperation. It can focus on supporting the development of local leading industries with regional comparative advantages, guide farmers to enter the agricultural industry chain, and improve farmers’ opportunities to share economic results.

  12. f

    Regression results of interaction effect.

    • plos.figshare.com
    xls
    Updated Jun 23, 2025
    + more versions
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    Guibo Liu; Xiaoxian Gong; Guandong Wang (2025). Regression results of interaction effect. [Dataset]. http://doi.org/10.1371/journal.pone.0324815.t010
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 23, 2025
    Dataset provided by
    PLOS ONE
    Authors
    Guibo Liu; Xiaoxian Gong; Guandong Wang
    License

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

    Description

    From the perspective of agricultural industrialization, based on China’s provincial data from 2006 to 2022, it studies the impact of financial inclusion on farmers’ income. We have found that financial inclusion can effectively promote the growth of farmers’ income, and this effect shows the heterogeneity of different income structures, income levels, and regional types. More importantly, agricultural industrialization is an important mechanism for financial inclusion to promote farmers’ income growth. However, the interactive effect of financial inclusion and agricultural industrialization has not promoted the growth of farmers’ income, indicating that there are certain structural problems in the current development of financial inclusion. We suggest that the development of financial inclusion should aim at the agricultural industrialization based on division of labor and cooperation. It can focus on supporting the development of local leading industries with regional comparative advantages, guide farmers to enter the agricultural industry chain, and improve farmers’ opportunities to share economic results.

  13. f

    Regression results of income level heterogeneity.

    • figshare.com
    xls
    Updated Jun 23, 2025
    + more versions
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    Guibo Liu; Xiaoxian Gong; Guandong Wang (2025). Regression results of income level heterogeneity. [Dataset]. http://doi.org/10.1371/journal.pone.0324815.t007
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    xlsAvailable download formats
    Dataset updated
    Jun 23, 2025
    Dataset provided by
    PLOS ONE
    Authors
    Guibo Liu; Xiaoxian Gong; Guandong Wang
    License

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

    Description

    From the perspective of agricultural industrialization, based on China’s provincial data from 2006 to 2022, it studies the impact of financial inclusion on farmers’ income. We have found that financial inclusion can effectively promote the growth of farmers’ income, and this effect shows the heterogeneity of different income structures, income levels, and regional types. More importantly, agricultural industrialization is an important mechanism for financial inclusion to promote farmers’ income growth. However, the interactive effect of financial inclusion and agricultural industrialization has not promoted the growth of farmers’ income, indicating that there are certain structural problems in the current development of financial inclusion. We suggest that the development of financial inclusion should aim at the agricultural industrialization based on division of labor and cooperation. It can focus on supporting the development of local leading industries with regional comparative advantages, guide farmers to enter the agricultural industry chain, and improve farmers’ opportunities to share economic results.

  14. Leading countries, regions, or territories by number of traditional IPOs...

    • statista.com
    Updated Jun 26, 2025
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    Statista (2025). Leading countries, regions, or territories by number of traditional IPOs 2024 [Dataset]. https://www.statista.com/statistics/274138/leading-countries-by-number-of-company-ipos/
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    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Worldwide
    Description

    More initial public offerings (IPOs) occurred in India in 2024 than any other region or country worldwide, with ***. The United States followed, with *** IPOs in that year. The ASEAN countries rounded up the top three, with a combined number of IPOs amounting to ***. Why make an IPO? Private companies have a lot of control over their companies, but their funding sources are limited. While some of these companies have achieved valuations over one billion U.S. dollars, called unicorns, most have trouble finding the cash to grow their business. To open themselves to public investors, they make an initial offering of shares of stock. The largest IPOs are worth billions of U.S. dollars. Timing is everything The timing of an IPO can have a huge impact on its performance, which is as important for investors as it is for the companies themselves. As such, many investors watch to see who is next in line to make an IPO. The right play at the wrong time is the wrong play and might result in a negative return. While underwriters and consultants can mitigate some risk factors, markets are inherently unpredictable. As such, an IPO always carries risk, with hopes of the reward of an infusion of capital.

  15. Unemployment rate in India 2024

    • statista.com
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    Statista, Unemployment rate in India 2024 [Dataset]. https://www.statista.com/statistics/271330/unemployment-rate-in-india/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    1999 - 2024
    Area covered
    India
    Description

    The statistic shows the unemployment rate in India from 1999 to 2024. In 2024, the unemployment rate in India was estimated to be 4.2 percent. India's economy in comparison to other BRIC states India possesses one of the fastest-growing economies in the world and as a result, India is recognized as one of the G-20 major economies as well as a member of the BRIC countries, an association that is made up of rapidly growing economies. As well as India, three other countries, namely Brazil, Russia and China, are BRIC members. India’s manufacturing industry plays a large part in the development of its economy; however its services industry is the most significant economical factor. The majority of the population of India works in this sector. India’s notable economic boost can be attributed to significant gains over the past decade in regards to the efficiency of the production of goods as well as maintaining relatively low debt, particularly when compared to the total amount earned from goods and services produced throughout the years. When considering individual development as a country, India progressed significantly over the years. However, in comparison to the other emerging countries in the BRIC group, India’s progress was rather minimal. While China experienced the most apparent growth, India’s efficiency and productivity remained somewhat stagnant over the course of 3 or 4 years. India also reported a rather large trade deficit over the past decade, implying that its total imports exceeded its total amount of exports, essentially forcing the country to borrow money in order to finance the nation. Most economists consider trade deficits a negative factor, especially in the long run and for developing or emerging countries.

  16. f

    Table 1_Hardiness personality and mental health of financially-struggling...

    • figshare.com
    xlsx
    Updated Nov 4, 2024
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    Huan Liu; Jiabao Chen; Qinghe Peng; Hao Zhang; Yating He (2024). Table 1_Hardiness personality and mental health of financially-struggling medical students in private universities in China: the intervening roles of coping styles and gender.xlsx [Dataset]. http://doi.org/10.3389/fpubh.2024.1458049.s001
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    xlsxAvailable download formats
    Dataset updated
    Nov 4, 2024
    Dataset provided by
    Frontiers
    Authors
    Huan Liu; Jiabao Chen; Qinghe Peng; Hao Zhang; Yating He
    License

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

    Description

    BackgroundChinese adolescents are at higher risk of depression, especially the mental health problems of financially disadvantaged medical students, which are significantly higher than those in other age groups, which brings great challenges to the mental health workers in universities.Methods1,280 medical students with a family poverty background in China completed a questionnaire on hardiness personality, coping style and mental health. After descriptive statistics and Pearson correlation analysis between hardiness personality, coping style and mental health levels, we tested the mediation of coping style and the moderating effects of gender.ResultsHardiness personality significantly positively affected the financially-struggling medical student’s mental health level. Positive coping style had a significant positive impact on hardiness personality and mental health level, while negative coping style had a significant negative effect on mental health level. Positive coping and negative coping are the mediators between financially-struggling medical students’ hardy personalities and mental health levels. In medical students with a family poverty background, gender plays a regulatory role in coping style and mental health levels. In medical students with a family poverty background, gender plays a moderate role in coping style and mental health levels.ConclusionThis study adds some knowledge about the effects of hardiness personality on individual mental health. It makes new recommendations for improving the mental health status of vulnerable groups, while it can support future investigations by scholars and educators on how to improve the mental health of students under learning and financial-related stress.

  17. Consideration of endogenous problems.

    • plos.figshare.com
    xls
    Updated Apr 3, 2024
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    Consideration of endogenous problems. [Dataset]. https://plos.figshare.com/articles/dataset/Consideration_of_endogenous_problems_/25535772
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    xlsAvailable download formats
    Dataset updated
    Apr 3, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Bangqi Ren; Sheng Yao
    License

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

    Description

    Earnings aggressiveness is a tool variable for performing 2SLS to solve endogeneity problems. The dependent variable is Readability_CSR, measured as the readability of Chinese CSR reports. The post indicator variable is DA, measured as accrued earnings management. All the controlling variables are obtained from the CSMAR database, and t-statistics are reported in parentheses.

  18. f

    Estimation and different panel data models.

    • plos.figshare.com
    xls
    Updated Jan 25, 2024
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    Xia Zou; Yaping Xiao; Dalai Ma; Fengtai Zhang; Bitan An; Zuman Guo; Jiawei Zhang (2024). Estimation and different panel data models. [Dataset]. http://doi.org/10.1371/journal.pone.0291468.t004
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    xlsAvailable download formats
    Dataset updated
    Jan 25, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Xia Zou; Yaping Xiao; Dalai Ma; Fengtai Zhang; Bitan An; Zuman Guo; Jiawei Zhang
    License

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

    Description

    For a long time, China ’s extensive economic development model has produced a large amount of emissions, which has brought indelible damage to the environment. Green development is of vital importance for China to achieve high-quality development, and it is the core of alleviating environmental problems and promoting sustainable development. How to achieve China ’s green development requires us to evaluate the level of green development in China ’s provinces and analyze the reasons. In this study, an evaluation index system including undesired output of green development efficiency is constructed, and then the Supe-SBM model is used to assess the green development efficiency of 30 Chinese provinces. This paper also discusses the spatial and temporal differences as well as the factors affecting green development efficiency of green development efficiency among provinces. The findings demonstrate: (1) The green development efficiency in the eastern region is the highest, followed by the western region, while the central region has the lowest, but they all show a downward trend. (2) The spatial characteristics of green development efficiency are remarkable, according to the Global Moran’s I index. However, the results of local spatial agglomeration demonstrate "small agglomeration and large dispersion," with the majority of provinces exhibiting L-L agglomeration. (3) Technological Progress, Opening Up, Urbanization Level are positively correlated with the green development efficiency. Industrial Structure, Financial Development, Energy Structure and green development efficiency are significantly negatively correlated, while Environmental Regulation shows no significant impact.

  19. f

    A journey without maps—Understanding the costs of caring for dependent older...

    • plos.figshare.com
    docx
    Updated Jun 9, 2023
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    Rosie Mayston; Peter Lloyd-Sherlock; Sara Gallardo; Hong Wang; Yueqin Huang; Veronica Montes de Oca; Peter Ezeah; Mariella Guerra; Ana Luisa Sosa; Zhaourui Liu; Richard Uwakwe; Maëlenn M. Guerchet; Martin Prince (2023). A journey without maps—Understanding the costs of caring for dependent older people in Nigeria, China, Mexico and Peru [Dataset]. http://doi.org/10.1371/journal.pone.0182360
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    docxAvailable download formats
    Dataset updated
    Jun 9, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Rosie Mayston; Peter Lloyd-Sherlock; Sara Gallardo; Hong Wang; Yueqin Huang; Veronica Montes de Oca; Peter Ezeah; Mariella Guerra; Ana Luisa Sosa; Zhaourui Liu; Richard Uwakwe; Maëlenn M. Guerchet; Martin Prince
    License

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

    Area covered
    Nigeria, Mexico, Peru, China
    Description

    Purpose of the studyPopulations in Latin America, Asia and sub-Saharan Africa are rapidly ageing. The extent to which traditional systems of family support and security can manage the care of increased numbers of older people with chronic health problems is unclear. Our aim was to explore the social and economic effects of caring for an older dependent person, including insight into pathways to economic vulnerability.Design & methodsWe carried out a series of household case studies across urban and rural sites in Peru, Mexico, China and Nigeria (n = 24), as part of a cross-sectional study, nested within the 10/66 Dementia Research Group cohort. Case studies consisted of in-depth narrative style interviews (n = 60) with multiple family members, including the older dependent person.ResultsGovernments were largely uninvolved in the care and support of older dependent people, leaving families to negotiate a ‘journey without maps’. Women were de facto caregivers but the traditional role of female relative as caregiver was beginning to be contested. Household composition was flexible and responsive to changing needs of multiple generations but family finances were stretched.ImplicationsGovernments are lagging behind sociodemographic and social change. There is an urgent need for policy frameworks to support and supplement inputs from families. These should include community-based and residential care services, disability benefits and carers allowances. Further enhancement of health insurance schemes and scale-up of social pensions are an important component of bolstering the security of dependent older people and supporting their continued social and economic participation.

  20. f

    Data_Sheet_1_Self-reported prevalence and potential factors influencing...

    • frontiersin.figshare.com
    docx
    Updated Jun 13, 2023
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    Lingbing Meng; Jiapei Xu; Jianyi Li; Jiabin Hu; Hongxuan Xu; Dishan Wu; Xing Hu; Xuezhai Zeng; Qiuxia Zhang; Juan Li; Tao Gong; Deping Liu (2023). Data_Sheet_1_Self-reported prevalence and potential factors influencing cardio-cerebral vascular disease among the Chinese elderly: A national cross-sectional study.docx [Dataset]. http://doi.org/10.3389/fcvm.2022.979015.s001
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    docxAvailable download formats
    Dataset updated
    Jun 13, 2023
    Dataset provided by
    Frontiers
    Authors
    Lingbing Meng; Jiapei Xu; Jianyi Li; Jiabin Hu; Hongxuan Xu; Dishan Wu; Xing Hu; Xuezhai Zeng; Qiuxia Zhang; Juan Li; Tao Gong; Deping Liu
    License

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

    Description

    BackgroundAging is an essential national condition throughout China in the 21st century. Cardio-cerebral vascular disease (CCVD) is a common chronic vascular disease in the elderly. Despite aging becoming an increasingly pressing issue, there has been no comprehensive national investigation into the risk factors, prevalence, and management of CCVD among the elderly population in China.Materials and methodsThrough the 4th Survey of the Aged Population in Urban and Rural China (SSAPUR), a nationally representative sample of 224,142 adults aged more than 60 years was surveyed using a multistage, stratified sampling method. The 4th SSAPUR was used to investigate CCVD in the elderly. Univariate and multivariate logistic proportional regression analyses explored the risk factors. These risk factors were then entered into a multivariate linear regression model to identify independent predictive factors for CCVD. Disease management was assessed from the self-reported history of physician diagnosis, treatments, and hospital visits among individuals with CCVD.ResultsAfter excluding samples with missing information, 215,041 individuals were included in the analysis. The overall prevalence of CCVD was 26%. Living in a rural area, being older, being female, having low literacy, smoking, getting little sleep, losing a spouse, being single, not getting enough exercise, having a bad financial situation, and not taking part in public welfare programs were the main risk factors for CCVD among the elderly in China (P < 0.05). In the multivariate linear regression model, holding all other variables at any fixed value, CCVD remained associated with “urban and rural” (β = 0.012, P < 0.001), “age” (β = −0.003, P < 0.001), “sex” (β = −0.022, P < 0.001), “education level” (β = −0.017, P < 0.001), “marriage” (β = 0.004, P = 0.047), “smoking” (β = 0.012, P = 0.003), “drinking” (β = −0.015, P = 0.001), and “sleep” (β = 0.008, P = 0.005). There were no collinearity problems among these factors.ConclusionMajor risk factors for prevalent CCVD among the elderly in China include the following: rural residence, female, low literacy level, poor sleep quality, bereavement, non-marriage, living alone, lack of exercise, poor financial situation, and non-participation in public welfare activities. Chinese national policies for preventing, controlling, and managing risk factors for CCVD in the elderly must be urgently developed.

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Guibo Liu; Xiaoxian Gong; Guandong Wang (2025). Financial inclusion indicators. [Dataset]. http://doi.org/10.1371/journal.pone.0324815.t001

Financial inclusion indicators.

Related Article
Explore at:
xlsAvailable download formats
Dataset updated
Jun 23, 2025
Dataset provided by
PLOS ONE
Authors
Guibo Liu; Xiaoxian Gong; Guandong Wang
License

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

Description

From the perspective of agricultural industrialization, based on China’s provincial data from 2006 to 2022, it studies the impact of financial inclusion on farmers’ income. We have found that financial inclusion can effectively promote the growth of farmers’ income, and this effect shows the heterogeneity of different income structures, income levels, and regional types. More importantly, agricultural industrialization is an important mechanism for financial inclusion to promote farmers’ income growth. However, the interactive effect of financial inclusion and agricultural industrialization has not promoted the growth of farmers’ income, indicating that there are certain structural problems in the current development of financial inclusion. We suggest that the development of financial inclusion should aim at the agricultural industrialization based on division of labor and cooperation. It can focus on supporting the development of local leading industries with regional comparative advantages, guide farmers to enter the agricultural industry chain, and improve farmers’ opportunities to share economic results.

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