100+ datasets found
  1. Dataset: iShares MSCI Emerging Markets ex China...

    • kaggle.com
    zip
    Updated Jun 21, 2024
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    Nitiraj Kulkarni (2024). Dataset: iShares MSCI Emerging Markets ex China... [Dataset]. https://www.kaggle.com/datasets/nitirajkulkarni/emxc-stock-performance
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    zip(42923 bytes)Available download formats
    Dataset updated
    Jun 21, 2024
    Authors
    Nitiraj Kulkarni
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.

  2. Best performing emerging market equity funds worldwide 2023, by one-year...

    • statista.com
    Updated Dec 14, 2023
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    Statista (2023). Best performing emerging market equity funds worldwide 2023, by one-year return [Dataset]. https://www.statista.com/statistics/1427541/top-performing-emerging-market-equity-funds-worldwide-one-year-return/
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    Dataset updated
    Dec 14, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 28, 2022 - Oct 30, 2023
    Area covered
    Worldwide
    Description

    As of ************, the BlackRock SF Emerging Markets Equity Strategies provided the highest one-year return. This equity fund has spread its asset allocation over *** positions. The vast majority of these holdings are located in China. The fund, Brandes Emerging Market Value, followed in second place, providing a one-year return of almost ** percent.

  3. Great Recession: GDP growth for the E7 emerging economies 2007-2011

    • statista.com
    Updated Nov 23, 2022
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    Statista (2022). Great Recession: GDP growth for the E7 emerging economies 2007-2011 [Dataset]. https://www.statista.com/statistics/1346915/great-recession-e7-emerging-economies-gdp-growth/
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    Dataset updated
    Nov 23, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2007 - 2011
    Area covered
    Worldwide
    Description

    The Global Financial Crisis (2007-2008), which began due to the collapse of the U.S. housing market, had a negative effect in many regions across the globe. The global recession which followed the crisis in 2008 and 2009 showed how interdependent and synchronized many of the world's economies had become, with the largest advanced economies showing very similar patterns of negative GDP growth during the crisis. Among the largest emerging economies (commonly referred to as the 'E7'), however, a different pattern emerged, with some countries avoiding a recession altogether. Some commentators have particularly pointed to 2008-2009 as the moment in which China emerged on the world stage as an economic superpower and a key driver of global economic growth. The Great Recession in the developing world While some countries, such as Russia, Mexico, and Turkey, experienced severe recessions due to their connections to the United States and Europe, others such as China, India, and Indonesia managed to record significant economic growth during the period. This can be partly explained by the decoupling from western financial systems which these countries undertook following the Asian financial crises of 1997, making many Asian nations more wary of opening their countries to 'hot money' from other countries. Other likely explanations of this trend are that these countries have large domestic economies which are not entirely reliant on the advanced economies, that their export sectors produce goods which are inelastic (meaning they are still bought during recessions), and that the Chinese economic stimulus worth almost 600 billion U.S. dollars in 2008/2009 increased growth in the region.

  4. H

    Hong Kong SAR, China HK Investment Fund: Net Invt: EF: Emerging Markets

    • ceicdata.com
    Updated Jan 15, 2025
    + more versions
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    CEICdata.com (2025). Hong Kong SAR, China HK Investment Fund: Net Invt: EF: Emerging Markets [Dataset]. https://www.ceicdata.com/en/hong-kong/hk-investment-funds-association-statistics/hk-investment-fund-net-invt-ef-emerging-markets
    Explore at:
    Dataset updated
    Jan 15, 2025
    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
    Apr 1, 2017 - Mar 1, 2018
    Area covered
    Hong Kong
    Variables measured
    Portfolio Investment
    Description

    Hong Kong HK Investment Fund: Net Invt: EF: Emerging Markets data was reported at -215.410 USD mn in May 2018. This records a decrease from the previous number of -67.440 USD mn for Apr 2018. Hong Kong HK Investment Fund: Net Invt: EF: Emerging Markets data is updated monthly, averaging -14.080 USD mn from Jan 2005 (Median) to May 2018, with 161 observations. The data reached an all-time high of 923.510 USD mn in Jan 2018 and a record low of -302.170 USD mn in Nov 2006. Hong Kong HK Investment Fund: Net Invt: EF: Emerging Markets data remains active status in CEIC and is reported by Hong Kong Investment Funds Association. The data is categorized under Global Database’s Hong Kong – Table HK.Z038: HK Investment Funds Association Statistics. Emerging Markets Equity Funds have been divided into 3 categories (namely Global, Eastern Europe and Latin America) since May 2012.

  5. Leverage and stock returns

    • figshare.com
    xlsx
    Updated Apr 30, 2023
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    Shabir Hakim (2023). Leverage and stock returns [Dataset]. http://doi.org/10.6084/m9.figshare.22723318.v1
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    xlsxAvailable download formats
    Dataset updated
    Apr 30, 2023
    Dataset provided by
    figshare
    Figsharehttp://figshare.com/
    Authors
    Shabir Hakim
    License

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

    Description

    The variables, L1 to L10, are the portfolios are created from the deciles of the gross and net debt ratio of non-financial firms in Indian and Chinese markets. MKT represents excess return on the market portfolio (S&P BSE 500 index in India and Shanghai Stock Exchange Composite index in China). SMB (small minus big size portfolio), HML (high minus low B/M portfolio), and HLMLL (high minus low leverage portfolio) factor portfolios. SMB, HML, and HLMLL are obtained from 2x2x2 triple sort of the firms in each market. The firms are subject to sequential sorts of size, B/M, and leverage using median of each variable as the divider. From eight portfolio thus obtained, SMB is constructed as the difference in the returns of four small and four big portfolios, and HML and HLMLL are constructed from the difference in the returns of four high and four low B/M and leverage portfolios, respectively. The data on all variables used in the construction of portfolios was obstained from the Bloomberg Professional Databse.

  6. H

    Hong Kong SAR, China HK Investment Fund: Net Sales: Mixed Assets: Emerging...

    • ceicdata.com
    Updated Aug 19, 2023
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    CEICdata.com (2023). Hong Kong SAR, China HK Investment Fund: Net Sales: Mixed Assets: Emerging Markets [Dataset]. https://www.ceicdata.com/en/hong-kong/hk-investment-funds-association-statistics/hk-investment-fund-net-sales-mixed-assets-emerging-markets
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    Dataset updated
    Aug 19, 2023
    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
    Feb 1, 2024 - Jan 1, 2025
    Area covered
    Hong Kong
    Variables measured
    Portfolio Investment
    Description

    Hong Kong SAR (China) HK Investment Fund: Net Sales: Mixed Assets: Emerging Markets data was reported at -5.263 USD mn in Feb 2025. This records a decrease from the previous number of 8.645 USD mn for Jan 2025. Hong Kong SAR (China) HK Investment Fund: Net Sales: Mixed Assets: Emerging Markets data is updated monthly, averaging -1.881 USD mn from Jan 2023 (Median) to Feb 2025, with 26 observations. The data reached an all-time high of 11.809 USD mn in Sep 2024 and a record low of -13.647 USD mn in Jun 2023. Hong Kong SAR (China) HK Investment Fund: Net Sales: Mixed Assets: Emerging Markets data remains active status in CEIC and is reported by Hong Kong Investment Funds Association. The data is categorized under Global Database’s Hong Kong SAR (China) – Table HK.Z036: HK Investment Funds Association Statistics.

  7. E

    Emerging Market Funds Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Feb 23, 2025
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    Archive Market Research (2025). Emerging Market Funds Report [Dataset]. https://www.archivemarketresearch.com/reports/emerging-market-funds-45279
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    ppt, doc, pdfAvailable download formats
    Dataset updated
    Feb 23, 2025
    Dataset authored and provided by
    Archive Market Research
    License

    https://www.archivemarketresearch.com/privacy-policyhttps://www.archivemarketresearch.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global Emerging Market Funds market size was valued at USD XX million in 2025 and is projected to reach USD XX million by 2033, exhibiting a CAGR of XX% during the forecast period. The growing demand for investment in emerging markets, increasing disposable income, and favorable government policies are key factors driving the market growth. The market is expected to witness significant growth in the coming years due to the increasing participation of institutional investors and the growing popularity of ESG-compliant investments. Key trends shaping the Emerging Market Funds market include the rise of sustainable investing, the increasing use of technology, and the growing popularity of thematic funds. In addition, the market is expected to benefit from the growing middle class in emerging economies and the increasing demand for financial inclusion. However, the market may face challenges such as political and economic instability, currency volatility, and geopolitical risks. The market is highly fragmented, with a large number of players, both domestic and international. Some of the key players in the market include Tianhong Fund, E Fund, China Universal Fund, Southern Fund, GF Fund, China Asset Management, Bosera Fund, Harvest Fund, Wells Fargo Fund, and ICBC Credit Suisse Fund. Emerging market (EM) funds offer investors exposure to the dynamic and rapidly growing economies of developing countries. This report provides a comprehensive analysis of the EM fund landscape, exploring industry drivers, challenges, and key players.

  8. H

    Hong Kong SAR, China HK Investment Fund: Redemption: EF: Latin America...

    • ceicdata.com
    Updated Oct 15, 2025
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    CEICdata.com (2025). Hong Kong SAR, China HK Investment Fund: Redemption: EF: Latin America Emerging Markets [Dataset]. https://www.ceicdata.com/en/hong-kong/hk-investment-funds-association-statistics/hk-investment-fund-redemption-ef-latin-america-emerging-markets
    Explore at:
    Dataset updated
    Oct 15, 2025
    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
    Apr 1, 2017 - Mar 1, 2018
    Area covered
    Hong Kong
    Variables measured
    Portfolio Investment
    Description

    Hong Kong HK Investment Fund: Redemption: EF: Latin America Emerging Markets data was reported at 12.610 USD mn in May 2018. This records a decrease from the previous number of 16.310 USD mn for Apr 2018. Hong Kong HK Investment Fund: Redemption: EF: Latin America Emerging Markets data is updated monthly, averaging 17.650 USD mn from May 2012 (Median) to May 2018, with 73 observations. The data reached an all-time high of 44.170 USD mn in Jan 2013 and a record low of 4.420 USD mn in Feb 2016. Hong Kong HK Investment Fund: Redemption: EF: Latin America Emerging Markets data remains active status in CEIC and is reported by Hong Kong Investment Funds Association. The data is categorized under Global Database’s Hong Kong – Table HK.Z038: HK Investment Funds Association Statistics. Latin America Emerging Markets - including regional Latin America and single Latin American countries.

  9. p

    BRICS Macroeconomic Sentiment

    • permutable.ai
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    Permutable Technologies Limited, BRICS Macroeconomic Sentiment [Dataset]. https://permutable.ai/brics-macroeconomic-sentiment/
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    Dataset authored and provided by
    Permutable Technologies Limited
    Description

    Permutable AI’s BRICS datasets deliver structured quantitative analytics across Brazil, Russia, India, China, and South Africa. Using proprietary large language models, our platform transforms multilingual news into real-time sentiment scores for macroeconomic data releases, fiscal policy changes, and political developments. Systematic data feeds capture GDP announcements, central bank decisions, and budgetary measures with five-minute refresh rates. Geopolitical modules quantify elections, sanctions, and trade policy coordination, while natural disaster tracking provides supply chain disruption scoring across critical commodities. With a decade of historical datasets for backtesting emerging market cycles, our Co-Pilot API enables seamless integration with quantitative trading strategies through millisecond-latency sentiment classifications.

  10. D

    Bone China Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Dec 3, 2024
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    Dataintelo (2024). Bone China Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-bone-china-market
    Explore at:
    csv, pdf, pptxAvailable download formats
    Dataset updated
    Dec 3, 2024
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global, China
    Description

    Bone China Market Outlook



    The global bone china market size is projected to grow significantly from approximately USD 2.5 billion in 2023 to an estimated USD 4.7 billion by 2032, reflecting a robust compound annual growth rate (CAGR) of 7%. The market's expansion is driven by various growth factors, including increasing consumer preference for aesthetically pleasing and durable tableware, the rising disposable income worldwide, and the growing trend of hosting formal events at home. These trends are evident across both developed and emerging markets, where bone china products are often associated with luxury and refined dining experiences.



    One of the primary growth factors for the bone china market is the rising consumer inclination towards premium and luxury dining experiences. As disposable income continues to rise, especially in emerging economies, consumers are becoming more willing to invest in high-quality tableware that enhances their dining experience. Bone china, known for its high strength, translucency, and aesthetic appeal, is increasingly favored over other types of dinnerware. Moreover, growing urbanization and the expansion of the middle class are contributing to an upsurge in demand for sophisticated homeware, including bone china, which is seen as a symbol of status and elegance.



    The increasing popularity of home dining and formal home gatherings is also accelerating the demand for bone china products. More people are choosing to entertain guests at home, leading to a higher need for elegant and appealing tableware. Additionally, the proliferation of social media and the influence of lifestyle bloggers have spotlighted home aesthetics, including dining setups, further driving interest in premium bone china tableware. The advent of high-quality yet affordable bone china products has also made it more accessible to a broader range of consumers, thus expanding its market reach.



    The commercial sector, particularly the hospitality industry, is another significant driver of the bone china market. Hotels, restaurants, and catering services are increasingly opting for bone china tableware to enhance the dining experience they offer to their customers. The durability and luxurious feel of bone china make it a preferred choice for establishments that aim to provide a high-end service experience. Furthermore, the trend of themed dining and the increasing focus on customer satisfaction and experience in the hospitality sector are prompting businesses to invest in quality tableware, including bone china.



    Regionally, the Asia Pacific is expected to be a significant contributor to the growth of the bone china market. The region's expanding middle class and increasing urbanization are driving demand for luxury home goods. Additionally, cultural shifts towards more Western dining habits, especially in countries like China and India, are fueling demand for bone china products. North America and Europe, traditionally strong markets due to established consumer bases that appreciate high-quality tableware, continue to show steady growth. The Middle East & Africa and Latin America, while currently smaller markets, are showing potential for growth driven by increasing hospitality sector developments and a growing affluent class.



    Product Type Analysis



    The product type segment of the bone china market is categorized into plates, cups, bowls, and others, with each category playing a unique role in consumer preferences. Plates represent a significant portion of the market share due to their universal appeal and necessity in formal dining settings. The demand for bone china plates is primarily driven by their aesthetic appeal and durability, which makes them a staple in both residential and commercial dining setups. As consumers become more design-conscious, manufacturers are offering plates in various designs and patterns to cater to diverse tastes and preferences.



    Cups, another critical sub-segment within the product type category, are gaining popularity due to the growing trend of tea and coffee culture globally. Bone china cups are particularly favored for their fine quality and ability to retain heat, enhancing the consumer's drinking experience. The increasing number of boutique coffee shops and tea houses, especially in urban areas, has further boosted the demand for high-quality bone china cups. These establishments often prioritize a sophisticated customer experience, which includes serving beverages in premium tableware.



    Bowls are essential in both household and commercial settings, often used for serving

  11. m

    Replication Folder for "Disciplining the Factor Zoo: Identifying Pricing...

    • data.mendeley.com
    Updated Oct 7, 2025
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    Qing-Bin Meng (2025). Replication Folder for "Disciplining the Factor Zoo: Identifying Pricing Factors in the Chinese Stock Market" [Dataset]. http://doi.org/10.17632/5c9v9f9vxz.1
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    Dataset updated
    Oct 7, 2025
    Authors
    Qing-Bin Meng
    License

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

    Description

    The dataset is used for the study "Disciplining the Factor Zoo: Identifying Pricing Factors in the Chinese Stock Market."

  12. d

    Replication Data for: The political economy of Chinese debt and IMF...

    • search.dataone.org
    • dataverse.harvard.edu
    • +1more
    Updated Nov 8, 2023
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    Kern, Andreas; Reinsberg, Bernhard (2023). Replication Data for: The political economy of Chinese debt and IMF conditionality [Dataset]. http://doi.org/10.7910/DVN/7DAFJP
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    Dataset updated
    Nov 8, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Kern, Andreas; Reinsberg, Bernhard
    Description

    Developing and emerging market economies have increased their debt exposure to China in recent years. Despite its initial promise, many borrowers of Chinese loans face difficulties in meeting these loan obligations. Under what circumstances do Chinese borrowers in debt distress turn to the International Monetary Fund? Our starting point is that Chinese loans are tied into projects that promise to generate sufficient revenue to repay these loans. We expect that governments turn to the IMF for bailout funding when a severe shock erodes the value of the underlying loan collateral, requiring mobilizing revenues and implementing austerity measures. Without alternative financing options, the IMF becomes the most viable option to weather financial distress. We expect governments to accept a `whatever-it-takes' number of loan conditions. Using cross-country time series analysis for up to 162 countries between 2000 and 2018, we show that defaults on Chinese debt trigger IMF programs only when a country experiences a severe adverse shock. Countries tapping the IMF also accept a greater number of loan conditions. From a policy perspective, current financial distress in borrowing countries underscores the urgency to design and deploy targeted governance reform measures beyond program safeguards and loan conditions to mitigate the built-up of macro-financial vulnerabilities, independent of where the money is coming from.

  13. Cumulative value of emerging market green bond issuance 2012-2023, by...

    • statista.com
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    Statista, Cumulative value of emerging market green bond issuance 2012-2023, by country [Dataset]. https://www.statista.com/statistics/1290909/emerging-market-green-bond-issuance-by-country/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    From 2012 to 2023, China was the largest emerging market for green bonds issued, with an issuance of nearly *** billion U.S. dollars. India, Brazil, Chile, and the United Arab Emirates were the largest issuers after China.

  14. Correlation analysis (emerging market).

    • plos.figshare.com
    xls
    Updated Jun 2, 2023
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    Ijaz Younis; Cheng Longsheng; Muhammad Farhan Basheer; Ahmed Shafique Joyo (2023). Correlation analysis (emerging market). [Dataset]. http://doi.org/10.1371/journal.pone.0240472.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Ijaz Younis; Cheng Longsheng; Muhammad Farhan Basheer; Ahmed Shafique Joyo
    License

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

    Description

    Correlation analysis (emerging market).

  15. r

    Do words hurt more than actions? The impact of trade tensions on financial...

    • resodate.org
    Updated Oct 2, 2025
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    Massimo Ferrari Minesso (2025). Do words hurt more than actions? The impact of trade tensions on financial markets (replication data) [Dataset]. https://resodate.org/resources/aHR0cHM6Ly9qb3VybmFsZGF0YS56YncuZXUvZGF0YXNldC9kby13b3Jkcy1odXJ0LW1vcmUtdGhhbi1hY3Rpb25zLXRoZS1pbXBhY3Qtb2YtdHJhZGUtdGVuc2lvbnMtb24tZmluYW5jaWFsLW1hcmtldHM=
    Explore at:
    Dataset updated
    Oct 2, 2025
    Dataset provided by
    Journal of Applied Econometrics
    ZBW Journal Data Archive
    ZBW
    Authors
    Massimo Ferrari Minesso
    Description

    We use machine learning techniques to quantify trade tensions between the United States and China. Our measure matches well-known events in the US-China trade dispute and is exogenous to the developments on global financial markets. Local projections show that rising trade tensions leave US markets largely unaffected, except for firms that are more exposed to China, while negatively impacting stock market indices and exchange rates in China and emerging markets. We complement these findings with additional evidence suggesting that the US-China trade tensions have been interpreted as a negative demand shock for the Chinese economy rather than as a global risk shock.

  16. H

    Hong Kong SAR, China HK Investment Fund: Redemptions: Bond: Emerging Markets...

    • ceicdata.com
    Updated Aug 24, 2023
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    CEICdata.com (2023). Hong Kong SAR, China HK Investment Fund: Redemptions: Bond: Emerging Markets [Dataset]. https://www.ceicdata.com/en/hong-kong/hk-investment-funds-association-statistics/hk-investment-fund-redemptions-bond-emerging-markets
    Explore at:
    Dataset updated
    Aug 24, 2023
    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
    Feb 1, 2024 - Jan 1, 2025
    Area covered
    Hong Kong
    Variables measured
    Portfolio Investment
    Description

    Hong Kong SAR (China) HK Investment Fund: Redemptions: Bond: Emerging Markets data was reported at 50.702 USD mn in Feb 2025. This records an increase from the previous number of 44.482 USD mn for Jan 2025. Hong Kong SAR (China) HK Investment Fund: Redemptions: Bond: Emerging Markets data is updated monthly, averaging 38.889 USD mn from Jan 2023 (Median) to Feb 2025, with 26 observations. The data reached an all-time high of 77.690 USD mn in Jan 2024 and a record low of 25.797 USD mn in Jun 2024. Hong Kong SAR (China) HK Investment Fund: Redemptions: Bond: Emerging Markets data remains active status in CEIC and is reported by Hong Kong Investment Funds Association. The data is categorized under Global Database’s Hong Kong SAR (China) – Table HK.Z036: HK Investment Funds Association Statistics.

  17. N

    New Chinese Tea Drinks Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated May 2, 2025
    + more versions
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    Archive Market Research (2025). New Chinese Tea Drinks Report [Dataset]. https://www.archivemarketresearch.com/reports/new-chinese-tea-drinks-164843
    Explore at:
    ppt, pdf, docAvailable download formats
    Dataset updated
    May 2, 2025
    Dataset authored and provided by
    Archive Market Research
    License

    https://www.archivemarketresearch.com/privacy-policyhttps://www.archivemarketresearch.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The New Chinese Tea Drinks market is experiencing robust growth, driven by increasing consumer demand for healthier beverages and the rising popularity of innovative tea flavors. The market, valued at approximately $15 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 12% from 2025 to 2033. This significant expansion is fueled by several key factors. The increasing disposable incomes in emerging markets, particularly within Asia, are creating a larger consumer base willing to spend on premium beverages. Furthermore, the successful integration of online sales channels has broadened market access and facilitated rapid growth. The diverse range of tea types, including milk tea and fruit tea variations, caters to a wide spectrum of consumer preferences, further boosting market appeal. Successful branding and marketing strategies employed by key players like Heytea and Mixue Bingcheng have also significantly contributed to market expansion. However, challenges such as fluctuating raw material prices and intense competition within the rapidly expanding market represent potential constraints. The segmentation of the market into online and offline sales, alongside the various tea types, provides opportunities for specialized marketing and product development to further capitalize on consumer preferences and maximize market share. The market's geographical distribution showcases significant regional variations. While Asia Pacific, particularly China, currently dominates the market, North America and Europe are exhibiting increasing adoption rates, representing substantial growth opportunities for existing and new market entrants. The expansion into international markets presents challenges related to adapting products and marketing strategies to local preferences and cultural nuances. However, the global appeal of tea, coupled with innovative product offerings, positions the New Chinese Tea Drinks market for continued, sustained growth throughout the forecast period. The ongoing evolution of consumer tastes and preferences, coupled with technological advancements in beverage production and distribution, will continue to shape the market landscape and drive further innovation in the years to come.

  18. S1 Data -

    • plos.figshare.com
    xlsx
    Updated Nov 14, 2024
    + more versions
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    Shuying Tan; Tingting Liu; Chan Wang (2024). S1 Data - [Dataset]. http://doi.org/10.1371/journal.pone.0313208.s002
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    xlsxAvailable download formats
    Dataset updated
    Nov 14, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Shuying Tan; Tingting Liu; Chan Wang
    License

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

    Description

    Bank liquidity creation fosters economic growth while entailing liquidity mismatch risk. This study explores whether improving bank efficiency during liquidity creation can mitigate systemic risks. We propose a bank liquidity creation efficiency measure based on a stochastic frontier approach to analyze Chinese commercial listed banks from 2000-2021. Through systemic risk decomposition, we find that higher profit efficiency alleviates individual tail risk but strengthens system linkage for Chinese banks, representing a double-edged effect. Further analysis reveals that high profit efficiency is associated with more investment in real estate and higher risk-taking on loans. Banks’ digital transformation can help alleviate the dilemma of being too connected to the system. The results provide implications for emerging markets to prevent risk and promote economic growth.

  19. Gross domestic product (GDP) per capita in China 1985-2030

    • statista.com
    Updated Oct 16, 2025
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    Statista (2025). Gross domestic product (GDP) per capita in China 1985-2030 [Dataset]. https://www.statista.com/statistics/263775/gross-domestic-product-gdp-per-capita-in-china/
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    Dataset updated
    Oct 16, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    The graph shows per capita gross domestic product (GDP) in China until 2024, with forecasts until 2030. In 2024, per capita GDP reached around 13,300 U.S. dollars in China. That year, the overall GDP of China had amounted to 18.7 trillion U.S. dollars. Per capita GDP in China Gross domestic product is a commonly-used economic indicator for measuring the state of a country's economy. GDP is the total market value of goods and services produced in a country within a given period of time, usually a year. Per capita GDP is defined as the GDP divided by the total number of people in the country. This indicator is generally used to compare the economic prosperity of countries with varying population sizes.In 2010, China overtook Japan and became the world’s second-largest economy. As of 2024, it was the largest exporter and the second largest importer in the world. However, one reason behind its economic strength lies within its population size. China has to distribute its wealth among 1.4 billion people. By 2023, China's per capita GDP was only about one fourth as large as that of main industrialized countries. When compared to other emerging markets, China ranked second among BRIC countries in terms of GDP per capita. Future development According to projections by the IMF, per capita GDP in China will escalate from around 13,300 U.S. dollars in 2024 to 18,600 U.S. dollars in 2030. Major reasons for this are comparatively high economic growth rates combined with negative population growth. China's economic structure is also undergoing changes. A major trend lies in the shift from an industry-based to a service-based economy.

  20. k

    International Macroeconomic Dataset (2015 Base)

    • datasource.kapsarc.org
    Updated Oct 26, 2025
    + more versions
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    (2025). International Macroeconomic Dataset (2015 Base) [Dataset]. https://datasource.kapsarc.org/explore/dataset/international-macroeconomic-data-set-2015/
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    Dataset updated
    Oct 26, 2025
    Description

    TThe ERS International Macroeconomic Data Set provides historical and projected data for 181 countries that account for more than 99 percent of the world economy. These data and projections are assembled explicitly to serve as underlying assumptions for the annual USDA agricultural supply and demand projections, which provide a 10-year outlook on U.S. and global agriculture. The macroeconomic projections describe the long-term, 10-year scenario that is used as a benchmark for analyzing the impacts of alternative scenarios and macroeconomic shocks.

    Explore the International Macroeconomic Data Set 2015 for annual growth rates, consumer price indices, real GDP per capita, exchange rates, and more. Get detailed projections and forecasts for countries worldwide.

    Annual growth rates, Consumer price indices (CPI), Real GDP per capita, Real exchange rates, Population, GDP deflator, Real gross domestic product (GDP), Real GDP shares, GDP, projections, Forecast, Real Estate, Per capita, Deflator, share, Exchange Rates, CPI

    Afghanistan, Albania, Algeria, Angola, Antigua and Barbuda, Argentina, Armenia, Australia, Austria, Azerbaijan, Bahamas, Bahrain, Bangladesh, Barbados, Belarus, Belgium, Belize, Benin, Bhutan, Bolivia, Bosnia and Herzegovina, Botswana, Brazil, Brunei, Bulgaria, Burkina Faso, Burundi, Côte d'Ivoire, Cabo Verde, Cambodia, Cameroon, Canada, Central African Republic, Chad, Chile, China, Colombia, Congo, Costa Rica, Croatia, Cuba, Cyprus, Denmark, Djibouti, Dominica, Dominican Republic, Ecuador, Egypt, El Salvador, Equatorial Guinea, Eritrea, Estonia, Eswatini, Ethiopia, Fiji, Finland, France, Gabon, Gambia, Georgia, Germany, Ghana, Greece, Grenada, Guatemala, Guinea, Guinea-Bissau, Guyana, Haiti, Honduras, Hungary, Iceland, India, Indonesia, Iran, Iraq, Ireland, Israel, Italy, Jamaica, Japan, Jordan, Kazakhstan, Kenya, Kuwait, Kyrgyzstan, Laos, Latvia, Lebanon, Lesotho, Liberia, Libya, Lithuania, Luxembourg, Madagascar, Malawi, Malaysia, Maldives, Mali, Malta, Mauritania, Mauritius, Mexico, Moldova, Mongolia, Morocco, Mozambique, Myanmar, Namibia, Nepal, Netherlands, New Zealand, Nicaragua, Niger, Nigeria, Norway, Oman, Pakistan, Panama, Papua New Guinea, Paraguay, Peru, Philippines, Poland, Portugal, Qatar, Romania, Russia, Rwanda, Samoa, Saudi Arabia, Senegal, Serbia, Seychelles, Sierra Leone, Singapore, Slovakia, Slovenia, Solomon Islands, South Africa, Spain, Sri Lanka, Sudan, Suriname, Sweden, Switzerland, Syria, Tajikistan, Tanzania, Thailand, Togo, Tonga, Trinidad and Tobago, Tunisia, Turkey, Turkmenistan, Uganda, Ukraine, United Arab Emirates, United Kingdom, Uruguay, Uzbekistan, Vanuatu, Venezuela, Vietnam, Yemen, Zambia, Zimbabwe, WORLD Follow data.kapsarc.org for timely data to advance energy economics research. Notes:

    Developed countries/1 Australia, New Zealand, Japan, Other Western Europe, European Union 27, North America

    Developed countries less USA/2 Australia, New Zealand, Japan, Other Western Europe, European Union 27, Canada

    Developing countries/3 Africa, Middle East, Other Oceania, Asia less Japan, Latin America;

    Low-income developing countries/4 Haiti, Afghanistan, Nepal, Benin, Burkina Faso, Burundi, Central African Republic, Chad, Democratic Republic of Congo, Eritrea, Ethiopia, Gambia, Guinea, Guinea-Bissau, Liberia, Madagascar, Malawi, Mali, Mozambique, Niger, Rwanda, Senegal, Sierra Leone, Somalia, Tanzania, Togo, Uganda, Zimbabwe;

    Emerging markets/5 Mexico, Brazil, Chile, Czech Republic, Hungary, Poland, Slovakia, Russia, China, India, Korea, Taiwan, Indonesia, Malaysia, Philippines, Thailand, Vietnam, Singapore

    BRIICs/5 Brazil, Russia, India, Indonesia, China; Former Centrally Planned Economies

    Former centrally planned economies/7 Cyprus, Malta, Recently acceded countries, Other Central Europe, Former Soviet Union

    USMCA/8 Canada, Mexico, United States

    Europe and Central Asia/9 Europe, Former Soviet Union

    Middle East and North Africa/10 Middle East and North Africa

    Other Southeast Asia outlook/11 Malaysia, Philippines, Thailand, Vietnam

    Other South America outlook/12 Chile, Colombia, Peru, Bolivia, Paraguay, Uruguay

    Indicator Source

    Real gross domestic product (GDP) World Bank World Development Indicators, IHS Global Insight, Oxford Economics Forecasting, as well as estimated and projected values developed by the Economic Research Service all converted to a 2015 base year.

    Real GDP per capita U.S. Department of Agriculture, Economic Research Service, Macroeconomic Data Set, GDP table and Population table.

    GDP deflator World Bank World Development Indicators, IHS Global Insight, Oxford Economics Forecasting, as well as estimated and projected values developed by the Economic Research Service, all converted to a 2015 base year.

    Real GDP shares U.S. Department of Agriculture, Economic Research Service, Macroeconomic Data Set, GDP table.

    Real exchange rates U.S. Department of Agriculture, Economic Research Service, Macroeconomic Data Set, CPI table, and Nominal XR and Trade Weights tables developed by the Economic Research Service.

    Consumer price indices (CPI) International Financial Statistics International Monetary Fund, IHS Global Insight, Oxford Economics Forecasting, as well as estimated and projected values developed by the Economic Research Service, all converted to a 2015 base year.

    Population Department of Commerce, Bureau of the Census, U.S. Department of Agriculture, Economic Research Service, International Data Base.

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Nitiraj Kulkarni (2024). Dataset: iShares MSCI Emerging Markets ex China... [Dataset]. https://www.kaggle.com/datasets/nitirajkulkarni/emxc-stock-performance
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Dataset: iShares MSCI Emerging Markets ex China...

Stock Performance Dataset

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zip(42923 bytes)Available download formats
Dataset updated
Jun 21, 2024
Authors
Nitiraj Kulkarni
License

https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

Description

This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.

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