44 datasets found
  1. T

    Singapore Stock Market (STI) Data

    • tradingeconomics.com
    • id.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, Singapore Stock Market (STI) Data [Dataset]. https://tradingeconomics.com/singapore/stock-market
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    excel, xml, csv, 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 28, 1987 - Jun 24, 2025
    Area covered
    Singapore
    Description

    Singapore's main stock market index, the STI, rose to 3901 points on June 24, 2025, gaining 0.55% from the previous session. Over the past month, the index has climbed 0.64% and is up 17.26% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Singapore. Singapore Stock Market (STI) - values, historical data, forecasts and news - updated on June of 2025.

  2. T

    FTSE Straits Times Index - Index Price | Live Quote | Historical Chart

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 28, 2017
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    TRADING ECONOMICS (2017). FTSE Straits Times Index - Index Price | Live Quote | Historical Chart [Dataset]. https://tradingeconomics.com/fssti:ind
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    xml, json, excel, csvAvailable download formats
    Dataset updated
    May 28, 2017
    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
    Jan 1, 2000 - Jun 1, 2025
    Area covered
    Singapore
    Description

    Prices for FTSE Straits Times Index including live quotes, historical charts and news. FTSE Straits Times Index was last updated by Trading Economics this June 1 of 2025.

  3. Singapore Equity Market Index

    • ceicdata.com
    • dr.ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Singapore Equity Market Index [Dataset]. https://www.ceicdata.com/en/indicator/singapore/equity-market-index
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    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Mar 1, 2024 - Feb 1, 2025
    Area covered
    Singapore
    Description

    Key information about Singapore FTSE Strait Times

    • Singapore FTSE Strait Times closed at 3,895.7 points in Feb 2025, compared with 3,855.8 points at the previous month end
    • Singapore Equity Market Index: Month End: FTSE Strait Times data is updated monthly, available from Jan 1985 to Feb 2025, with an average number of 2,122.9 points
    • The data reached an all-time high of 3,895.7 points in Feb 2025 and a record low of 465.1 points in Apr 1986




    Further information about Singapore FTSE Strait Times

    • In the latest reports, FTSE All Share recorded a monthly P/E ratio of 13.2 in Jun 2022

  4. Singapore P/E ratio

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Singapore P/E ratio [Dataset]. https://www.ceicdata.com/en/indicator/singapore/pe-ratio
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    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Jul 1, 2021 - Jun 1, 2022
    Area covered
    Singapore
    Variables measured
    Price-Earnings Ratio
    Description

    Key information about Singapore P/E ratio

    • Singapore FTSE All Share recorded a monthly P/E ratio of 13.159 on Jun 2023, compared with 13.824 from the previous month.
    • Singapore FTSE All Share P/E ratio is updated monthly, with historical data available from Apr 1998 to Jun 2022.
    • The P/E ratio reached an all-time high of 99.190 in Dec 1999 and a record low of 5.710 in Feb 2009.
    • CEIC extends history for monthly P/E Ratio. FTSE Russell provides monthly P/E Ratio. P/E Ratio prior to Nov 2012 is sourced from Singapore Exchange.

    In the latest reports, FTSE Strait Times closed at 3,158.800 points in May 2023.

  5. f

    stock market indices

    • figshare.com
    application/gzip
    Updated Jun 4, 2023
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    Jiayue Zhang (2023). stock market indices [Dataset]. http://doi.org/10.6084/m9.figshare.6870806.v1
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    application/gzipAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    figshare
    Authors
    Jiayue Zhang
    License

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

    Description

    This data series of stock market indices includes FTSE 100(FTSE), AEX Index(AEX), DAX(GDAXI) and Straits Times Index(STI), from January 2007 to December 2017. And all these data is from a third party, downloaded with R software from 'Yahoo finance'.

  6. n

    Data for: Theory and Application of an Economic Performance Measure of Risk

    • narcis.nl
    • data.mendeley.com
    Updated Dec 13, 2017
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    Wong, W (via Mendeley Data) (2017). Data for: Theory and Application of an Economic Performance Measure of Risk [Dataset]. http://doi.org/10.17632/jhsx6vxkmp.1
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    Dataset updated
    Dec 13, 2017
    Dataset provided by
    Data Archiving and Networked Services (DANS)
    Authors
    Wong, W (via Mendeley Data)
    Description

    This dataset contains the Singapore Stock Market Index (STI) and Standard & Poor's Composite 500 Index (S&P500), from January 1, 2000 to December 31, 2015.

  7. Maritime Silk Road Trade: monthly Belt and Road Trade Index 2019-2025, by...

    • statista.com
    Updated Mar 27, 2025
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    Statista (2025). Maritime Silk Road Trade: monthly Belt and Road Trade Index 2019-2025, by type [Dataset]. https://www.statista.com/statistics/1319669/monthly-china-maritime-silk-road-belt-and-road-trade-index-by-type/
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    Dataset updated
    Mar 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2019 - Feb 2025
    Area covered
    China
    Description

    In January and February 2025, the China Maritime Silk Road Trade Index (STI) showed that the import and export trade indices to countries along the 'Belt and Road' project were 187.93 and 260.65 points, respectively. The STI 'Belt and Road' export index dropped by more than 20 percent over the previous month but increased by almost three percent over the same period of the previous year. In addition, the STI 'Belt and Road' import index declined by 17.4 percent over the previous month and by 3.8 percent year-on-year.

  8. j

    Data from: ”Latitude-Longitude Index” for wintering distribution locations...

    • jstagedata.jst.go.jp
    txt
    Updated Jul 27, 2023
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    Mutsuyuki UETA; Toshimitsu NUKA; Yusuke YAMAZAKI (2023). ”Latitude-Longitude Index” for wintering distribution locations of various bird species in Japan [Dataset]. http://doi.org/10.57368/data.birdresearch.22132973.v1
    Explore at:
    txtAvailable download formats
    Dataset updated
    Jul 27, 2023
    Dataset provided by
    Japan Bird Research Association
    Authors
    Mutsuyuki UETA; Toshimitsu NUKA; Yusuke YAMAZAKI
    License

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

    Area covered
    Japan
    Description

    The species temperature index (STI), which is the mean temperature of the distribution area for bird species, has been calculated to evaluate the response of birds to climate change. In Japan, the STI for the breeding season has been calculated based on the results of the “Japan Breeding Bird Atlas.” Since the effects of climate change are more pronounced during the wintering season of birds (Lehikoinen et al. 2021), it is important to know the STI for the wintering season in Japan. We surveyed to determine the wintering distribution of birds in Japan between January 2016 and February 2022. However, the 40 km grid to collect distribution information used in this survey included areas of low to high elevation in the steep terrain of Japan which made the temperature differences within the grid too large to show STI. Since the Japanese archipelago extends from southwest to northeast, the distribution of any bird species in the Japanese archipelago can be indicated by the value obtained by adding latitude and longitude. Therefore, we calculated ”Latitude-Longitude Index” values that describe the distribution of various bird species during the wintering season in Japan to replace the STI. Here we present this method and propose it is a useful approach for studying the effects of climate change on birds.

  9. Turkey Service Turnover Index (STI): NACE 2

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Turkey Service Turnover Index (STI): NACE 2 [Dataset]. https://www.ceicdata.com/en/turkey/service-turnover-index-2015100/service-turnover-index-sti-nace-2
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    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Jun 1, 2017 - May 1, 2018
    Area covered
    Türkiye
    Description

    Turkey Service Turnover Index (STI): NACE 2 data was reported at 158.945 2015=100 in May 2018. This records an increase from the previous number of 146.996 2015=100 for Apr 2018. Turkey Service Turnover Index (STI): NACE 2 data is updated monthly, averaging 78.397 2015=100 from Jan 2009 (Median) to May 2018, with 113 observations. The data reached an all-time high of 185.618 2015=100 in Dec 2017 and a record low of 32.078 2015=100 in Feb 2009. Turkey Service Turnover Index (STI): NACE 2 data remains active status in CEIC and is reported by Turkish Statistical Institute. The data is categorized under Global Database’s Turkey – Table TR.H016: Service Turnover Index: 2015=100.

  10. Turkey STI: NACE 2: wda: PS: Advertising & Market Research

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Turkey STI: NACE 2: wda: PS: Advertising & Market Research [Dataset]. https://www.ceicdata.com/en/turkey/service-turnover-index-2015100-working-day-adjusted/sti-nace-2-wda-ps-advertising--market-research
    Explore at:
    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Jun 1, 2017 - May 1, 2018
    Area covered
    Türkiye
    Description

    Turkey STI: NACE 2: wda: PS: Advertising & Market Research data was reported at 154.888 2015=100 in May 2018. This records an increase from the previous number of 146.421 2015=100 for Apr 2018. Turkey STI: NACE 2: wda: PS: Advertising & Market Research data is updated monthly, averaging 81.192 2015=100 from Jan 2009 (Median) to May 2018, with 113 observations. The data reached an all-time high of 210.703 2015=100 in Dec 2017 and a record low of 31.313 2015=100 in Jan 2009. Turkey STI: NACE 2: wda: PS: Advertising & Market Research data remains active status in CEIC and is reported by Turkish Statistical Institute. The data is categorized under Global Database’s Turkey – Table TR.H017: Service Turnover Index: 2015=100: Working Day Adjusted.

  11. Turkey Service Turnover Index (STI): NACE 2: Working Day Adjusted (wda)

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Turkey Service Turnover Index (STI): NACE 2: Working Day Adjusted (wda) [Dataset]. https://www.ceicdata.com/en/turkey/service-turnover-index-2015100-working-day-adjusted/service-turnover-index-sti-nace-2-working-day-adjusted-wda
    Explore at:
    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Jun 1, 2017 - May 1, 2018
    Area covered
    Türkiye
    Description

    Turkey Service Turnover Index (STI): NACE 2: Working Day Adjusted (wda) data was reported at 156.388 2015=100 in May 2018. This records an increase from the previous number of 146.857 2015=100 for Apr 2018. Turkey Service Turnover Index (STI): NACE 2: Working Day Adjusted (wda) data is updated monthly, averaging 78.255 2015=100 from Jan 2009 (Median) to May 2018, with 113 observations. The data reached an all-time high of 186.258 2015=100 in Dec 2017 and a record low of 31.954 2015=100 in Feb 2009. Turkey Service Turnover Index (STI): NACE 2: Working Day Adjusted (wda) data remains active status in CEIC and is reported by Turkish Statistical Institute. The data is categorized under Global Database’s Turkey – Table TR.H017: Service Turnover Index: 2015=100: Working Day Adjusted.

  12. d

    Deep Learning applied to Speech Transmission Index Prediction: Simulations...

    • search.dataone.org
    Updated Sep 25, 2024
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    Do Nascimento, Eriberto; Zannin, Paulo (2024). Deep Learning applied to Speech Transmission Index Prediction: Simulations and Measurements [Dataset]. http://doi.org/10.7910/DVN/RZRUTT
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    Dataset updated
    Sep 25, 2024
    Dataset provided by
    Harvard Dataverse
    Authors
    Do Nascimento, Eriberto; Zannin, Paulo
    Description

    This is the database that was used to evaluate acoustic quality in 5 classrooms of the Federal University of Paraná (UFPR) at the Polytechnic Campus, applying the standards ISO 9921, ISO 3382, NBR 12179, NBR 10152, and IEC 602068-16. Thus, it was determined the possible correlations and redundancies between the following descriptors: Reverberation Time - T30, Central Time - Ts, Early Time Decay - EDT, Definition - D50, Clarity - C50, Useful-to-detrimental sound ratio - U50 and Speech Transmission Index - STI, and the significance of the following factors on those: background noise - (A), sound absorption coefficient - (B), confinement - (C) and occupation - (D). The methodology consisted of applying the Design of Experiments of type 24 not replicated, based on the validated simulations in the ODEON version 11 software, to create the response matrices, totaling 80 virtual rooms and 53 responses. A correlation matrix between the descriptors was created and then the Principal Components Analysis was applied.

  13. T

    Turkey Service Turnover Index (STI): NACE 2: swda

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Turkey Service Turnover Index (STI): NACE 2: swda [Dataset]. https://www.ceicdata.com/en/turkey/service-turnover-index-2015100-seasonally-and-working-day-adjusted/service-turnover-index-sti-nace-2-swda
    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
    Jun 1, 2017 - May 1, 2018
    Area covered
    Türkiye
    Description

    Turkey Service Turnover Index (STI): NACE 2: swda data was reported at 161.298 2015=100 in May 2018. This records an increase from the previous number of 158.760 2015=100 for Apr 2018. Turkey Service Turnover Index (STI): NACE 2: swda data is updated monthly, averaging 79.776 2015=100 from Jan 2009 (Median) to May 2018, with 113 observations. The data reached an all-time high of 161.298 2015=100 in May 2018 and a record low of 37.551 2015=100 in May 2009. Turkey Service Turnover Index (STI): NACE 2: swda data remains active status in CEIC and is reported by Turkish Statistical Institute. The data is categorized under Global Database’s Turkey – Table TR.H018: Service Turnover Index: 2015=100: Seasonally and Working Day Adjusted.

  14. T

    Turkey STI: NACE 2: wda: IC: Telecommunication

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Turkey STI: NACE 2: wda: IC: Telecommunication [Dataset]. https://www.ceicdata.com/en/turkey/service-turnover-index-2015100-working-day-adjusted/sti-nace-2-wda-ic-telecommunication
    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
    Jun 1, 2017 - May 1, 2018
    Area covered
    Türkiye
    Description

    Turkey STI: NACE 2: wda: IC: Telecommunication data was reported at 137.430 2015=100 in May 2018. This records an increase from the previous number of 134.868 2015=100 for Apr 2018. Turkey STI: NACE 2: wda: IC: Telecommunication data is updated monthly, averaging 86.051 2015=100 from Jan 2009 (Median) to May 2018, with 113 observations. The data reached an all-time high of 164.404 2015=100 in Dec 2017 and a record low of 51.246 2015=100 in Jan 2009. Turkey STI: NACE 2: wda: IC: Telecommunication data remains active status in CEIC and is reported by Turkish Statistical Institute. The data is categorized under Global Database’s Turkey – Table TR.H017: Service Turnover Index: 2015=100: Working Day Adjusted.

  15. j

    Data from: List of the bird species of the wintering distribution survey in...

    • jstagedata.jst.go.jp
    application/csv
    Updated May 7, 2024
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    Mutsuyuki UETA; Kazuhiro Kawamura; Toshimitsu NUKA; Yusuke YAMAZAKI; Yuichi Yamaura (2024). List of the bird species of the wintering distribution survey in Japan with foraging habitat, number of grids recorded, latitude-longitude index (LLI) and species temperature index (STI) in the 1980s and 2010s. [Dataset]. http://doi.org/10.57368/data.birdresearch.25522804.v2
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    application/csvAvailable download formats
    Dataset updated
    May 7, 2024
    Dataset provided by
    Japan Bird Research Association
    Authors
    Mutsuyuki UETA; Kazuhiro Kawamura; Toshimitsu NUKA; Yusuke YAMAZAKI; Yuichi Yamaura
    License

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

    Area covered
    Japan
    Description

    Using national wintering bird survey data, we examined changes in the distribution of wintering bird fauna in Japan from the 1980s to the 2010s. LLI is the median value of the added latitude and longitude of the grid where each bird species was distributed; STI is the median value of the mean wintering temperature of the grid where each bird species was distributed.

  16. T

    Turkey STI: NACE 2: Real Estate

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Turkey STI: NACE 2: Real Estate [Dataset]. https://www.ceicdata.com/en/turkey/service-turnover-index-2015100/sti-nace-2-real-estate
    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
    Jun 1, 2017 - May 1, 2018
    Area covered
    Türkiye
    Description

    Turkey STI: NACE 2: Real Estate data was reported at 161.742 2015=100 in May 2018. This records a decrease from the previous number of 168.092 2015=100 for Apr 2018. Turkey STI: NACE 2: Real Estate data is updated monthly, averaging 84.698 2015=100 from Jan 2009 (Median) to May 2018, with 113 observations. The data reached an all-time high of 216.449 2015=100 in Dec 2017 and a record low of 34.388 2015=100 in Feb 2009. Turkey STI: NACE 2: Real Estate data remains active status in CEIC and is reported by Turkish Statistical Institute. The data is categorized under Global Database’s Turkey – Table TR.H016: Service Turnover Index: 2015=100.

  17. T

    Turkey STI: NACE 2: wda: IC: Computer Programming

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Turkey STI: NACE 2: wda: IC: Computer Programming [Dataset]. https://www.ceicdata.com/en/turkey/service-turnover-index-2015100-working-day-adjusted/sti-nace-2-wda-ic-computer-programming
    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
    Jun 1, 2017 - May 1, 2018
    Area covered
    Turkey
    Description

    Turkey STI: NACE 2: wda: IC: Computer Programming data was reported at 165.716 2015=100 in May 2018. This records an increase from the previous number of 164.386 2015=100 for Apr 2018. Turkey STI: NACE 2: wda: IC: Computer Programming data is updated monthly, averaging 64.603 2015=100 from Jan 2009 (Median) to May 2018, with 113 observations. The data reached an all-time high of 375.433 2015=100 in Dec 2017 and a record low of 20.686 2015=100 in Jan 2009. Turkey STI: NACE 2: wda: IC: Computer Programming data remains active status in CEIC and is reported by Turkish Statistical Institute. The data is categorized under Global Database’s Turkey – Table TR.H017: Service Turnover Index: 2015=100: Working Day Adjusted.

  18. f

    Evaluation index system of HQDBI.

    • plos.figshare.com
    xls
    Updated May 7, 2024
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    Zhixia Wu; Xiazhong Zheng; Yijun Chen; Shan Huang; Chenfei Duan; Wenli Hu (2024). Evaluation index system of HQDBI. [Dataset]. http://doi.org/10.1371/journal.pone.0301589.t003
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    xlsAvailable download formats
    Dataset updated
    May 7, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Zhixia Wu; Xiazhong Zheng; Yijun Chen; Shan Huang; Chenfei Duan; Wenli Hu
    License

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

    Description

    The Baijiu industry is a significant contributor to both the food industry and the light industry. Its high tax characteristics effectively promote the sustainable development of the regional economy. First, the evaluation index system of scientific and technological innovation (STI) and high-quality development of Baijiu industry (HQDBI) were constructed. The entropy-improved CRITIC method was used to measure the weights. Second, the coordination relationship and evolution trend of STI and HQDBI were explored using the coupling coordination model and the Tapio decoupling model. Then, the transfer law and key influencing factors were further investigated using the Markov chain and grey correlation, respectively. The main contribution is the dynamic evolution of the coupling and decoupling relationships from the perspective of multiple Baijiu provinces, and deeply depicts the coordination relationship and evolutionary trends of STI and HQDBI. The results show that: the spatial distribution of the coupling coordination degree shows high values in the east-west and low values in the north-south characteristics. In 2021, a pattern of coordinated development in Baijiu provinces has emerged along the Yangtze River basin. The decoupling state is mainly strong decoupling, but it remains poor in Shanxi. The coordination process is unstable and difficult to achieve leapfrog development. Coordination, sustainability and innovation environment have a greater impact on the coordination of subsystems.

  19. Turkey STI: NACE 2: wda: TR: Postal & Courier

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Turkey STI: NACE 2: wda: TR: Postal & Courier [Dataset]. https://www.ceicdata.com/en/turkey/service-turnover-index-2015100-working-day-adjusted/sti-nace-2-wda-tr-postal--courier
    Explore at:
    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Jun 1, 2017 - May 1, 2018
    Area covered
    Türkiye
    Description

    Turkey STI: NACE 2: wda: TR: Postal & Courier data was reported at 153.220 2015=100 in May 2018. This records an increase from the previous number of 147.822 2015=100 for Apr 2018. Turkey STI: NACE 2: wda: TR: Postal & Courier data is updated monthly, averaging 84.238 2015=100 from Jan 2009 (Median) to May 2018, with 113 observations. The data reached an all-time high of 181.597 2015=100 in Dec 2017 and a record low of 42.196 2015=100 in Jan 2009. Turkey STI: NACE 2: wda: TR: Postal & Courier data remains active status in CEIC and is reported by Turkish Statistical Institute. The data is categorized under Global Database’s Turkey – Table TR.H017: Service Turnover Index: 2015=100: Working Day Adjusted.

  20. Turkey STI: NACE 2: wda: Transportation & Storage (TR)

    • ceicdata.com
    Updated Jan 15, 2025
    + more versions
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    CEICdata.com (2025). Turkey STI: NACE 2: wda: Transportation & Storage (TR) [Dataset]. https://www.ceicdata.com/en/turkey/service-turnover-index-2015100-working-day-adjusted/sti-nace-2-wda-transportation--storage-tr
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    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Jun 1, 2017 - May 1, 2018
    Area covered
    Türkiye
    Description

    Turkey STI: NACE 2: wda: Transportation & Storage (TR) data was reported at 161.262 2015=100 in May 2018. This records an increase from the previous number of 149.598 2015=100 for Apr 2018. Turkey STI: NACE 2: wda: Transportation & Storage (TR) data is updated monthly, averaging 82.459 2015=100 from Jan 2009 (Median) to May 2018, with 113 observations. The data reached an all-time high of 161.262 2015=100 in May 2018 and a record low of 34.013 2015=100 in May 2009. Turkey STI: NACE 2: wda: Transportation & Storage (TR) data remains active status in CEIC and is reported by Turkish Statistical Institute. The data is categorized under Global Database’s Turkey – Table TR.H017: Service Turnover Index: 2015=100: Working Day Adjusted.

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TRADING ECONOMICS, Singapore Stock Market (STI) Data [Dataset]. https://tradingeconomics.com/singapore/stock-market

Singapore Stock Market (STI) Data

Singapore Stock Market (STI) - Historical Dataset (1987-12-28/2025-06-24)

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excel, xml, csv, 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 28, 1987 - Jun 24, 2025
Area covered
Singapore
Description

Singapore's main stock market index, the STI, rose to 3901 points on June 24, 2025, gaining 0.55% from the previous session. Over the past month, the index has climbed 0.64% and is up 17.26% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Singapore. Singapore Stock Market (STI) - values, historical data, forecasts and news - updated on June of 2025.

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