29 datasets found
  1. f

    Time series analysis of economic growth effects.

    • plos.figshare.com
    xls
    Updated Jun 20, 2024
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    Yuting Zhou; Yunpei Wang; Qingnian Wang (2024). Time series analysis of economic growth effects. [Dataset]. http://doi.org/10.1371/journal.pone.0302494.t004
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    xlsAvailable download formats
    Dataset updated
    Jun 20, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Yuting Zhou; Yunpei Wang; Qingnian Wang
    License

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

    Description

    The Global Investment Report 2023 revealed that after a sharp decline in 2020 and a strong rebound in 2021, global foreign direct investment (FDI) declined by 12 percent to $1.3 trillion in 2022. However, in developing countries, FDI increased by 4% to $916 billion, a record share of more than 70% of global flows. The number of greenfield investment projects in developing countries increased by 37 percent and international project finance transactions by 5 percent. Foreign investment from China, the second largest recipient of foreign investment globally, increased by 5 percent. The service industry has become the mainstream industry in the global FDI structure. The global industry is accelerating its transformation to a "service-based economy," international FDI in productive service industries has become an essential means of industrial transfer in developed countries and a meaningful way to upgrade the industrial structure and high-quality development in emerging economies. As a representative province in central China, Hubei Province has unique advantages in human capital, factor cost, and market potential, which provide preferential conditions to attract foreign investment. This paper first introduced the concept of the productive service industry, based on the relevant statistical data from 2011 to 2022, focused on the current situation of foreign investment utilization in five major sub-sectors of the productive service industry in Hubei Province in the past ten years, and empirically investigated the impact of foreign investment utilization in five major sub-sectors of the productive service industry on the economic growth of Hubei Province, and obtained that the level of foreign investment attraction varied significantly among the regions in Hubei Province. The three productive service industries, namely transportation, storage and postal services, information transmission, software and information technology services, and financial services, played a significant role in the active attraction and optimal utilization of foreign capital and the economic development of Hubei Province. Based on this, it was proposed to build a market-oriented rule of law and internationalized business environment, improve the infrastructure construction in different regions of the province, focus on the training of professional talents for the development of productive service industries, and pay attention to the improvement of independent innovation capacity.

  2. State Health Investment Project: Impact Evaluation Endline Survey, 2017 -...

    • microdata.worldbank.org
    • datacatalog.ihsn.org
    • +1more
    Updated Aug 9, 2021
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    Eeshani Kandpal (World Bank) (2021). State Health Investment Project: Impact Evaluation Endline Survey, 2017 - Nigeria [Dataset]. https://microdata.worldbank.org/index.php/catalog/4042
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    Dataset updated
    Aug 9, 2021
    Dataset provided by
    World Bankhttps://www.worldbank.org/
    Authors
    Eeshani Kandpal (World Bank)
    Time period covered
    2017
    Area covered
    Nigeria
    Description

    Abstract

    Despite years of human and financial investment in the Nigerian Health Sector, the country did not achieve the health-related millennium development goals (MDGs) by 2015. According to a 2010 UNDP MDG report, the likelihood that the country will achieve MDG 4 (reducing under-five mortality by two thirds between 1990 and 2015) and MDG 5 (reducing maternal mortality ratio by three quarters between 1990 and 2015) is average at best. Although the under-five mortality rate fell by a fifth in five years, from 201 deaths/1,000 live births in 2003 to 157 deaths/1,000 live births in 2008, and the maternal mortality ratio fell by 32 percent (800 deaths/100,000 live births in 2003 to 545 deaths/100,000 live births in 2008); these figures do not come close to the two-thirds and three quarters level set for the MDGs. The main challenges to achieving these goals have been identified as “declining resources, ensuring universal access to an essential package of care, improving the quality of healthcare services and increasing demand for health services and providing financial access especially to vulnerable groups” (UNDP 2010).

    To overcome these challenges and accelerate the progress of the country to achieving the health related MDGs, innovative approaches are needed to effectively manage the Nigeria health system and improve on its efficiency to enhance the health status of the population. The World Bank and the government of Nigeria are in the process of preparing a results-based financing (RBF) project which provides incentives for improving performance at critical levels within the Nigerian health system and aims to address some of these challenges. A key feature of the RBF project in the Nigerian context is the provision of financial incentives to States and Local Government Agencies (LGA) based on results achieved. In addition, select health facilities will also receive performance incentives. This approach will also build institutional capacity for health system management while introducing a culture of performance excellence at the health facility level and higher levels of health systems management. Given the innovative nature of the proposed project interventions, the World Bank and the Government of Nigeria seek to nest a rigorous impact evaluation in the project to provide evidence that can be used to inform decisions on whether to scale up the innovations implemented under the project. The primary goal of the impact evaluation of the RBF project in Nigeria is to determine if providing financial incentives linked directly to performance increases the quantity and quality of maternal and child health (MCH) services. In addition, it is anticipated that the impact evaluation should provide answers that are generalizable to specific regions in Nigeria.

    These are the endline data in support of this impact evaluation.

    Geographic coverage

    Urban and rural areas in the six states of Adamawa, Benue, Nasarawa, Ogun, Ondo, and Taraba.

    Analysis unit

    Health facility; household

    Universe

    • Primary and secondary health facilities in treatment states. In control states, a randomly-selected sample of primary and secondary health facilities.

    • Households with recent pregnancies (in the last two years) or a currently pregnant woman from the catchment areas of the above facilities.

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    The sample frame for the health facility surveys comprised one randomly-chosen facility per ward from all functioning primary and secondary health facilities in each LGA (77 LGAs in total; all but one pre-pilot LGA in treatment state). For indicators that are measured at the level of the health facility, the evaluation is a two-level cluster randomized trial, that is, a study in which units are nested within clusters and the clusters are randomly assigned to the treatment or control condition. In this case, health facilities are nested within LGAs and LGAs are randomly assigned to the treatment or control condition. The referral (secondary) hospital in each LGA was also sampled.

    HOUSEHOLDS: The sampling frame consists of households in the 77 LGAs that are part of the evaluation. To ensure an efficient sample, the sampling frame was limited to those households that included at least one woman who has given birth or been pregnant in the last two years. By restricting the sampling frame in such a way, we maximize the proportion of the sample that will have at least one woman who gave birth in the last two years, and the proportion of households that have at least one child under the age of five. While this sampling frame does not give us a fully representative sample of the Nigerian population, it gives a representative sample of the population of interest from this program. Sampling of households was done as follows: First, we listed all enumeration areas in the LGAs that belong to the study, and then randomly drew enumeration areas with probability based on size. Within enumeration areas, the survey firm listed all households within the enumeration area that included at least one woman who has given birth within the last 2 years. Then, 15 households were randomly drawn from that listing.

    Mode of data collection

    Computer Assisted Personal Interview [capi]

    Cleaning operations

    Data editing took place at a number of stages throughout the processing, including: • Office editing and coding • During data entry • Structure checking and completeness • Secondary editing • Structural checking of Stata data files

  3. Global retail e-commerce sales 2022-2028

    • statista.com
    Updated Jun 24, 2025
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    Statista (2025). Global retail e-commerce sales 2022-2028 [Dataset]. https://www.statista.com/statistics/379046/worldwide-retail-e-commerce-sales/
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    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 2025
    Area covered
    Worldwide
    Description

    In 2024, global retail e-commerce sales reached an estimated ************ U.S. dollars. Projections indicate a ** percent growth in this figure over the coming years, with expectations to come close to ************** dollars by 2028. World players Among the key players on the world stage, the American marketplace giant Amazon holds the title of the largest e-commerce player globally, with a gross merchandise value of nearly *********** U.S. dollars in 2024. Amazon was also the most valuable retail brand globally, followed by mostly American competitors such as Walmart and the Home Depot. Leading e-tailing regions E-commerce is a dormant channel globally, but nowhere has it been as successful as in Asia. In 2024, the e-commerce revenue in that continent alone was measured at nearly ************ U.S. dollars, outperforming the Americas and Europe. That year, the up-and-coming e-commerce markets also centered around Asia. The Philippines and India stood out as the swiftest-growing e-commerce markets based on online sales, anticipating a growth rate surpassing ** percent.

  4. Taiwan Insurance Capital Inv: Life: Authorized Projects or Public Inv

    • ceicdata.com
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    CEICdata.com, Taiwan Insurance Capital Inv: Life: Authorized Projects or Public Inv [Dataset]. https://www.ceicdata.com/en/taiwan/insurance-statistics-asset-capital-and-capital-investment-annual/insurance-capital-inv-life-authorized-projects-or-public-inv
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    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
    Dec 1, 2006 - Dec 1, 2017
    Area covered
    Taiwan
    Variables measured
    Insurance Market
    Description

    Taiwan Insurance Capital Inv: Life: Authorized Projects or Public Inv data was reported at 58.806 NTD bn in 2017. This records an increase from the previous number of 53.867 NTD bn for 2016. Taiwan Insurance Capital Inv: Life: Authorized Projects or Public Inv data is updated yearly, averaging 32.536 NTD bn from Dec 1991 (Median) to 2017, with 27 observations. The data reached an all-time high of 93.691 NTD bn in 2001 and a record low of 0.000 NTD bn in 1993. Taiwan Insurance Capital Inv: Life: Authorized Projects or Public Inv data remains active status in CEIC and is reported by Taiwan Insurance Institute. The data is categorized under Global Database’s Taiwan – Table TW.Z031: Insurance Statistics: Asset, Capital and Capital Investment (Annual).

  5. Brazil Project Cost: PR4-3QP2520: Residential Building: High: Pará

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Brazil Project Cost: PR4-3QP2520: Residential Building: High: Pará [Dataset]. https://www.ceicdata.com/en/brazil/project-cost-per-square-meter-residential-building-pr43qp2520-by-standard-of-finishing-high-by-state/project-cost-pr43qp2520-residential-building-high-par
    Explore at:
    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, 2018 - Jun 1, 2019
    Area covered
    Brazil
    Description

    Brazil Project Cost: PR4-3QP2520: Residential Building: High: Pará data was reported at 1,170.520 BRL/sq m in Jun 2019. This records an increase from the previous number of 1,157.530 BRL/sq m for May 2019. Brazil Project Cost: PR4-3QP2520: Residential Building: High: Pará data is updated monthly, averaging 689.850 BRL/sq m from Jan 1999 (Median) to Jun 2019, with 246 observations. The data reached an all-time high of 1,170.520 BRL/sq m in Jun 2019 and a record low of 282.650 BRL/sq m in Jan 1999. Brazil Project Cost: PR4-3QP2520: Residential Building: High: Pará data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Construction and Properties Sector – Table BR.EB037: Project Cost per Square Meter: Residential Building (PR4-3QP2520): by Standard of Finishing: High: by State. PR4-3QP2520: Residential building (PR), pillars (P), 4-story, living room, 3 bedrooms, traffic flow, bathroom, half bath, kitchen, laundry room, maid’s bedroom and bathroom.

  6. Commercial Real Estate Data | Global Real Estate Professionals | Work...

    • datarade.ai
    Updated Oct 27, 2021
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    Success.ai (2021). Commercial Real Estate Data | Global Real Estate Professionals | Work Emails, Phone Numbers & Verified Profiles | Best Price Guaranteed [Dataset]. https://datarade.ai/data-products/commercial-real-estate-data-global-real-estate-professional-success-ai
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    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Oct 27, 2021
    Dataset provided by
    Area covered
    El Salvador, Comoros, Burkina Faso, Bolivia (Plurinational State of), Hong Kong, Netherlands, Marshall Islands, Guatemala, Sierra Leone, Korea (Republic of)
    Description

    Success.ai’s Commercial Real Estate Data and B2B Contact Data for Global Real Estate Professionals is a comprehensive dataset designed to connect businesses with industry leaders in real estate worldwide. With over 170M verified profiles, including work emails and direct phone numbers, this solution ensures precise outreach to agents, brokers, property developers, and key decision-makers in the real estate sector.

    Utilizing advanced AI-driven validation, our data is continuously updated to maintain 99% accuracy, offering actionable insights that empower targeted marketing, streamlined sales strategies, and efficient recruitment efforts. Whether you’re engaging with top real estate executives or sourcing local property experts, Success.ai provides reliable and compliant data tailored to your needs.

    Key Features of Success.ai’s Real Estate Professional Contact Data

    • Comprehensive Industry Coverage Gain direct access to verified profiles of real estate professionals across the globe, including:
    1. Real Estate Agents: Professionals facilitating property sales and purchases.
    2. Brokers: Key intermediaries managing transactions between buyers and sellers.
    3. Property Developers: Decision-makers shaping residential, commercial, and industrial projects.
    4. Real Estate Executives: Leaders overseeing multi-regional operations and business strategies.
    5. Architects & Consultants: Experts driving design and project feasibility.
    • Verified and Continuously Updated Data

    AI-Powered Validation: All profiles are verified using cutting-edge AI to ensure up-to-date accuracy. Real-Time Updates: Our database is refreshed continuously to reflect the most current information. Global Compliance: Fully aligned with GDPR, CCPA, and other regional regulations for ethical data use.

    • Customizable Data Delivery Tailor your data access to align with your operational goals:

    API Integration: Directly integrate data into your CRM or project management systems for seamless workflows. Custom Flat Files: Receive detailed datasets customized to your specifications, ready for immediate application.

    Why Choose Success.ai for Real Estate Contact Data?

    • Best Price Guarantee Enjoy competitive pricing that delivers exceptional value for verified, comprehensive contact data.

    • Precision Targeting for Real Estate Professionals Our dataset equips you to connect directly with real estate decision-makers, minimizing misdirected efforts and improving ROI.

    • Strategic Use Cases

      Lead Generation: Target qualified real estate agents and brokers to expand your network. Sales Outreach: Engage with property developers and executives to close high-value deals. Marketing Campaigns: Drive targeted campaigns tailored to real estate markets and demographics. Recruitment: Identify and attract top talent in real estate for your growing team. Market Research: Access firmographic and demographic data for in-depth industry analysis.

    • Data Highlights 170M+ Verified Professional Profiles 50M Work Emails 30M Company Profiles 700M Global Professional Profiles

    • Powerful APIs for Enhanced Functionality

      Enrichment API Ensure your contact database remains relevant and up-to-date with real-time enrichment. Ideal for businesses seeking to maintain competitive agility in dynamic markets.

    Lead Generation API Boost your lead generation with verified contact details for real estate professionals, supporting up to 860,000 API calls per day for robust scalability.

    • Use Cases for Real Estate Contact Data
    1. Targeted Outreach for New Projects Connect with property developers and brokers to pitch your services or collaborate on upcoming projects.

    2. Real Estate Marketing Campaigns Execute personalized marketing campaigns targeting agents and clients in residential, commercial, or industrial sectors.

    3. Enhanced Sales Strategies Shorten sales cycles by directly engaging with decision-makers and key stakeholders.

    4. Recruitment and Talent Acquisition Access profiles of highly skilled professionals to strengthen your real estate team.

    5. Market Analysis and Intelligence Leverage firmographic and demographic insights to identify trends and optimize business strategies.

    • What Makes Us Stand Out? >> Unmatched Data Accuracy: Our AI-driven validation ensures 99% accuracy for all contact details. >> Comprehensive Global Reach: Covering professionals across diverse real estate markets worldwide. >> Flexible Delivery Options: Access data in formats that seamlessly fit your existing systems. >> Ethical and Compliant Data Practices: Adherence to global standards for secure and responsible data use.

    Success.ai’s B2B Contact Data for Global Real Estate Professionals delivers the tools you need to connect with the right people at the right time, driving efficiency and success in your business operations. From agents and brokers to property developers and executiv...

  7. Brazil Project Cost: PR4-2QT1433: Residential Building: High: Rio de Janeiro...

    • ceicdata.com
    Updated Feb 15, 2025
    + more versions
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    CEICdata.com (2025). Brazil Project Cost: PR4-2QT1433: Residential Building: High: Rio de Janeiro [Dataset]. https://www.ceicdata.com/en/brazil/project-cost-per-square-meter-residential-building-pr42qt1433-by-standard-of-finishing-high-by-state/project-cost-pr42qt1433-residential-building-high-rio-de-janeiro
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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, 2018 - Jun 1, 2019
    Area covered
    Brazil
    Description

    Brazil Project Cost: PR4-2QT1433: Residential Building: High: Rio de Janeiro data was reported at 1,564.550 BRL/sq m in Jun 2019. This records an increase from the previous number of 1,548.910 BRL/sq m for May 2019. Brazil Project Cost: PR4-2QT1433: Residential Building: High: Rio de Janeiro data is updated monthly, averaging 939.075 BRL/sq m from Jan 1999 (Median) to Jun 2019, with 246 observations. The data reached an all-time high of 1,564.550 BRL/sq m in Jun 2019 and a record low of 378.200 BRL/sq m in Jan 1999. Brazil Project Cost: PR4-2QT1433: Residential Building: High: Rio de Janeiro data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Construction and Properties Sector – Table BR.EB028: Project Cost per Square Meter: Residential Building (PR4-2QT1433): by Standard of Finishing: High: by State. PR4-2QT1433: Residential building (PR), ground floor (T), 4-story, living room, 2 bedrooms, traffic flow, bathroom, kitchen, laundry room, maid’s bedroom and bathroom.

  8. Brazil Project Cost: PR6-3QP7181: Residential Building: High: Maranhão

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Brazil Project Cost: PR6-3QP7181: Residential Building: High: Maranhão [Dataset]. https://www.ceicdata.com/en/brazil/project-cost-per-square-meter-residential-building-pr63qp7181-by-standard-of-finishing-high-by-state/project-cost-pr63qp7181-residential-building-high-maranho
    Explore at:
    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, 2018 - Jun 1, 2019
    Area covered
    Brazil
    Description

    Brazil Project Cost: PR6-3QP7181: Residential Building: High: Maranhão data was reported at 1,000.220 BRL/sq m in Jun 2019. This records an increase from the previous number of 981.920 BRL/sq m for May 2019. Brazil Project Cost: PR6-3QP7181: Residential Building: High: Maranhão data is updated monthly, averaging 597.260 BRL/sq m from Jan 1999 (Median) to Jun 2019, with 246 observations. The data reached an all-time high of 1,000.220 BRL/sq m in Jun 2019 and a record low of 224.970 BRL/sq m in Mar 1999. Brazil Project Cost: PR6-3QP7181: Residential Building: High: Maranhão data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Construction and Properties Sector – Table BR.EB040: Project Cost per Square Meter: Residential Building (PR6-3QP7181): by Standard of Finishing: High: by State. PR6-3QP7181: Residential building (PR), pillars (P), 6-story, living room, 3 bedrooms, traffic flow, 2 bathrooms, American kitchen, laundry room, maid’s bedroom and bathroom.

  9. Brazil Project Cost: PR4-3QP2520: Residential Building: High: Paraíba

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Brazil Project Cost: PR4-3QP2520: Residential Building: High: Paraíba [Dataset]. https://www.ceicdata.com/en/brazil/project-cost-per-square-meter-residential-building-pr43qp2520-by-standard-of-finishing-high-by-state/project-cost-pr43qp2520-residential-building-high-paraba
    Explore at:
    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, 2018 - Jun 1, 2019
    Area covered
    Brazil
    Description

    Brazil Project Cost: PR4-3QP2520: Residential Building: High: Paraíba data was reported at 1,135.480 BRL/sq m in Jun 2019. This records an increase from the previous number of 1,126.050 BRL/sq m for May 2019. Brazil Project Cost: PR4-3QP2520: Residential Building: High: Paraíba data is updated monthly, averaging 652.055 BRL/sq m from Jan 1999 (Median) to Jun 2019, with 246 observations. The data reached an all-time high of 1,135.480 BRL/sq m in Jun 2019 and a record low of 253.960 BRL/sq m in Jan 1999. Brazil Project Cost: PR4-3QP2520: Residential Building: High: Paraíba data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Construction and Properties Sector – Table BR.EB037: Project Cost per Square Meter: Residential Building (PR4-3QP2520): by Standard of Finishing: High: by State. PR4-3QP2520: Residential building (PR), pillars (P), 4-story, living room, 3 bedrooms, traffic flow, bathroom, half bath, kitchen, laundry room, maid’s bedroom and bathroom.

  10. Brazil Project Cost: PR4-3QP2520: Residential Building: High: Mato Grosso do...

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Brazil Project Cost: PR4-3QP2520: Residential Building: High: Mato Grosso do Sul [Dataset]. https://www.ceicdata.com/en/brazil/project-cost-per-square-meter-residential-building-pr43qp2520-by-standard-of-finishing-high-by-state/project-cost-pr43qp2520-residential-building-high-mato-grosso-do-sul
    Explore at:
    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, 2018 - Jun 1, 2019
    Area covered
    Brazil
    Description

    Brazil Project Cost: PR4-3QP2520: Residential Building: High: Mato Grosso do Sul data was reported at 1,150.960 BRL/sq m in Jun 2019. This records an increase from the previous number of 1,140.740 BRL/sq m for May 2019. Brazil Project Cost: PR4-3QP2520: Residential Building: High: Mato Grosso do Sul data is updated monthly, averaging 690.540 BRL/sq m from Jan 1999 (Median) to Jun 2019, with 246 observations. The data reached an all-time high of 1,150.960 BRL/sq m in Jun 2019 and a record low of 266.350 BRL/sq m in Jan 1999. Brazil Project Cost: PR4-3QP2520: Residential Building: High: Mato Grosso do Sul data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Construction and Properties Sector – Table BR.EB037: Project Cost per Square Meter: Residential Building (PR4-3QP2520): by Standard of Finishing: High: by State. PR4-3QP2520: Residential building (PR), pillars (P), 4-story, living room, 3 bedrooms, traffic flow, bathroom, half bath, kitchen, laundry room, maid’s bedroom and bathroom.

  11. Brazil Project Cost: PR4-3QT2264: Residential Building: High: Amapá

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Brazil Project Cost: PR4-3QT2264: Residential Building: High: Amapá [Dataset]. https://www.ceicdata.com/en/brazil/project-cost-per-square-meter-residential-building-pr43qt2264-by-standard-of-finishing-high-by-state/project-cost-pr43qt2264-residential-building-high-amap
    Explore at:
    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, 2018 - Jun 1, 2019
    Area covered
    Brazil
    Description

    Brazil Project Cost: PR4-3QT2264: Residential Building: High: Amapá data was reported at 1,305.050 BRL/sq m in Jun 2019. This records an increase from the previous number of 1,286.690 BRL/sq m for May 2019. Brazil Project Cost: PR4-3QT2264: Residential Building: High: Amapá data is updated monthly, averaging 750.585 BRL/sq m from Jan 1999 (Median) to Jun 2019, with 246 observations. The data reached an all-time high of 1,305.050 BRL/sq m in Jun 2019 and a record low of 298.730 BRL/sq m in Jan 1999. Brazil Project Cost: PR4-3QT2264: Residential Building: High: Amapá data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Construction and Properties Sector – Table BR.EB031: Project Cost per Square Meter: Residential Building (PR4-3QT2264): by Standard of Finishing: High: by State. PR4-3QT2264: Residential building (PR), ground floor (T), 4-story, living room, 3 bedrooms, traffic flow, bathroom, half bath, kitchen, laundry room, maid’s bedroom and bathroom.

  12. Brazil Project Cost: PR4-2QT1433: Residential Building: High: Rio Grande do...

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Brazil Project Cost: PR4-2QT1433: Residential Building: High: Rio Grande do Sul [Dataset]. https://www.ceicdata.com/en/brazil/project-cost-per-square-meter-residential-building-pr42qt1433-by-standard-of-finishing-high-by-state/project-cost-pr42qt1433-residential-building-high-rio-grande-do-sul
    Explore at:
    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, 2018 - Jun 1, 2019
    Area covered
    Brazil
    Description

    Brazil Project Cost: PR4-2QT1433: Residential Building: High: Rio Grande do Sul data was reported at 1,448.070 BRL/sq m in Jun 2019. This records an increase from the previous number of 1,436.980 BRL/sq m for May 2019. Brazil Project Cost: PR4-2QT1433: Residential Building: High: Rio Grande do Sul data is updated monthly, averaging 851.865 BRL/sq m from Jan 1999 (Median) to Jun 2019, with 246 observations. The data reached an all-time high of 1,448.070 BRL/sq m in Jun 2019 and a record low of 380.250 BRL/sq m in Jan 1999. Brazil Project Cost: PR4-2QT1433: Residential Building: High: Rio Grande do Sul data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Construction and Properties Sector – Table BR.EB028: Project Cost per Square Meter: Residential Building (PR4-2QT1433): by Standard of Finishing: High: by State. PR4-2QT1433: Residential building (PR), ground floor (T), 4-story, living room, 2 bedrooms, traffic flow, bathroom, kitchen, laundry room, maid’s bedroom and bathroom.

  13. B

    Brazil Project Cost: CR.1-3Q104: Residential House: High: Santa Catarina

    • ceicdata.com
    Updated Dec 8, 2019
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    CEICdata.com (2019). Brazil Project Cost: CR.1-3Q104: Residential House: High: Santa Catarina [Dataset]. https://www.ceicdata.com/en/brazil/project-cost-per-square-meter-residential-house-cr13q104-by-standard-of-finishing-high-by-state
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    Dataset updated
    Dec 8, 2019
    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
    Jul 1, 2018 - Jun 1, 2019
    Area covered
    Brazil
    Description

    Project Cost: CR.1-3Q104: Residential House: High: Santa Catarina data was reported at 1,591.770 BRL/sq m in Jun 2019. This records an increase from the previous number of 1,581.780 BRL/sq m for May 2019. Project Cost: CR.1-3Q104: Residential House: High: Santa Catarina data is updated monthly, averaging 790.500 BRL/sq m from Jan 1999 (Median) to Jun 2019, with 246 observations. The data reached an all-time high of 1,591.770 BRL/sq m in Jun 2019 and a record low of 347.850 BRL/sq m in Jan 1999. Project Cost: CR.1-3Q104: Residential House: High: Santa Catarina data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Construction and Properties Sector – Table BR.EB010: Project Cost per Square Meter: Residential House (CR.1-3Q104): by Standard of Finishing: High: by State. CR.1-3Q104: Residential house (CR), 1-story, balcony, living room, 3 bedrooms, traffic flow, bathroom, half bath, kitchen, laundry room, maid’s bedroom and bathroom.

  14. Brazil Project Cost: PR8-2QP2620: Residential Building: High: Amazonas

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Brazil Project Cost: PR8-2QP2620: Residential Building: High: Amazonas [Dataset]. https://www.ceicdata.com/en/brazil/project-cost-per-square-meter-residential-building-pr82qp2620-by-standard-of-finishing-high-by-state/project-cost-pr82qp2620-residential-building-high-amazonas
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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, 2018 - Jun 1, 2019
    Area covered
    Brazil
    Description

    Brazil Project Cost: PR8-2QP2620: Residential Building: High: Amazonas data was reported at 1,363.800 BRL/sq m in Jun 2019. This records an increase from the previous number of 1,355.080 BRL/sq m for May 2019. Brazil Project Cost: PR8-2QP2620: Residential Building: High: Amazonas data is updated monthly, averaging 842.945 BRL/sq m from Jan 1999 (Median) to Jun 2019, with 246 observations. The data reached an all-time high of 1,363.800 BRL/sq m in Jun 2019 and a record low of 365.630 BRL/sq m in Jan 1999. Brazil Project Cost: PR8-2QP2620: Residential Building: High: Amazonas data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Construction and Properties Sector – Table BR.EB042: Project Cost per Square Meter: Residential Building (PR8-2QP2620): by Standard of Finishing: High: by State. PR8-2QP2620: Residential building (PR), pillars (P), 8-story, living room, 2 bedrooms, traffic flow, bathroom, kitchen, laundry room, maid’s bedroom and bathroom.

  15. Brazil Project Cost: PR4-3QT2264: Residential Building: High: Acre

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Brazil Project Cost: PR4-3QT2264: Residential Building: High: Acre [Dataset]. https://www.ceicdata.com/en/brazil/project-cost-per-square-meter-residential-building-pr43qt2264-by-standard-of-finishing-high-by-state/project-cost-pr43qt2264-residential-building-high-acre
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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, 2018 - Jun 1, 2019
    Area covered
    Brazil
    Description

    Brazil Project Cost: PR4-3QT2264: Residential Building: High: Acre data was reported at 1,411.400 BRL/sq m in Jun 2019. This records an increase from the previous number of 1,382.290 BRL/sq m for May 2019. Brazil Project Cost: PR4-3QT2264: Residential Building: High: Acre data is updated monthly, averaging 736.065 BRL/sq m from Jan 1999 (Median) to Jun 2019, with 246 observations. The data reached an all-time high of 1,411.400 BRL/sq m in Jun 2019 and a record low of 289.750 BRL/sq m in Jun 1999. Brazil Project Cost: PR4-3QT2264: Residential Building: High: Acre data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Construction and Properties Sector – Table BR.EB031: Project Cost per Square Meter: Residential Building (PR4-3QT2264): by Standard of Finishing: High: by State. PR4-3QT2264: Residential building (PR), ground floor (T), 4-story, living room, 3 bedrooms, traffic flow, bathroom, half bath, kitchen, laundry room, maid’s bedroom and bathroom.

  16. Brazil Project Cost: PR12-2QP3597: Residential Building: High: Rondônia

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Brazil Project Cost: PR12-2QP3597: Residential Building: High: Rondônia [Dataset]. https://www.ceicdata.com/en/brazil/project-cost-per-square-meter-residential-building-pr122qp3597-by-standard-of-finishing-high-by-state/project-cost-pr122qp3597-residential-building-high-rondnia
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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, 2018 - Jun 1, 2019
    Area covered
    Brazil
    Description

    Brazil Project Cost: PR12-2QP3597: Residential Building: High: Rondônia data was reported at 1,379.230 BRL/sq m in Jun 2019. This records an increase from the previous number of 1,365.300 BRL/sq m for May 2019. Brazil Project Cost: PR12-2QP3597: Residential Building: High: Rondônia data is updated monthly, averaging 807.110 BRL/sq m from Jan 1999 (Median) to Jun 2019, with 246 observations. The data reached an all-time high of 1,379.230 BRL/sq m in Jun 2019 and a record low of 320.570 BRL/sq m in Jan 1999. Brazil Project Cost: PR12-2QP3597: Residential Building: High: Rondônia data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Construction and Properties Sector – Table BR.EB048: Project Cost per Square Meter: Residential Building (PR12-2QP3597): by Standard of Finishing: High: by State. PR12-2QP3597: Residential building (PR), pillars (P), 12-story, living room, 2 bedrooms, traffic flow, bathroom, kitchen, laundry room, maid’s bedroom and bathroom.

  17. B

    Brazil Project Cost: PR4-3QP2520: Residential Building: High: Minas Gerais

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Brazil Project Cost: PR4-3QP2520: Residential Building: High: Minas Gerais [Dataset]. https://www.ceicdata.com/en/brazil/project-cost-per-square-meter-residential-building-pr43qp2520-by-standard-of-finishing-high-by-state/project-cost-pr43qp2520-residential-building-high-minas-gerais
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    Dataset updated
    Feb 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
    Jul 1, 2018 - Jun 1, 2019
    Area covered
    Brazil
    Description

    Brazil Project Cost: PR4-3QP2520: Residential Building: High: Minas Gerais data was reported at 1,194.700 BRL/sq m in Jun 2019. This records an increase from the previous number of 1,175.030 BRL/sq m for May 2019. Brazil Project Cost: PR4-3QP2520: Residential Building: High: Minas Gerais data is updated monthly, averaging 695.280 BRL/sq m from Jan 1999 (Median) to Jun 2019, with 246 observations. The data reached an all-time high of 1,194.700 BRL/sq m in Jun 2019 and a record low of 265.660 BRL/sq m in Jan 1999. Brazil Project Cost: PR4-3QP2520: Residential Building: High: Minas Gerais data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Construction and Properties Sector – Table BR.EB037: Project Cost per Square Meter: Residential Building (PR4-3QP2520): by Standard of Finishing: High: by State. PR4-3QP2520: Residential building (PR), pillars (P), 4-story, living room, 3 bedrooms, traffic flow, bathroom, half bath, kitchen, laundry room, maid’s bedroom and bathroom.

  18. Brazil Project Cost: PR8-2QP2620: Residential Building: High: Roraima

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Brazil Project Cost: PR8-2QP2620: Residential Building: High: Roraima [Dataset]. https://www.ceicdata.com/en/brazil/project-cost-per-square-meter-residential-building-pr82qp2620-by-standard-of-finishing-high-by-state/project-cost-pr82qp2620-residential-building-high-roraima
    Explore at:
    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, 2018 - Jun 1, 2019
    Area covered
    Brazil
    Description

    Brazil Project Cost: PR8-2QP2620: Residential Building: High: Roraima data was reported at 1,447.470 BRL/sq m in Jun 2019. This records an increase from the previous number of 1,441.460 BRL/sq m for May 2019. Brazil Project Cost: PR8-2QP2620: Residential Building: High: Roraima data is updated monthly, averaging 885.945 BRL/sq m from Jan 1999 (Median) to Jun 2019, with 246 observations. The data reached an all-time high of 1,447.470 BRL/sq m in Jun 2019 and a record low of 388.300 BRL/sq m in May 1999. Brazil Project Cost: PR8-2QP2620: Residential Building: High: Roraima data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Construction and Properties Sector – Table BR.EB042: Project Cost per Square Meter: Residential Building (PR8-2QP2620): by Standard of Finishing: High: by State. PR8-2QP2620: Residential building (PR), pillars (P), 8-story, living room, 2 bedrooms, traffic flow, bathroom, kitchen, laundry room, maid’s bedroom and bathroom.

  19. Brazil Project Cost: PR6-3QP7181: Residential Building: High: São Paulo

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Brazil Project Cost: PR6-3QP7181: Residential Building: High: São Paulo [Dataset]. https://www.ceicdata.com/en/brazil/project-cost-per-square-meter-residential-building-pr63qp7181-by-standard-of-finishing-high-by-state/project-cost-pr63qp7181-residential-building-high-so-paulo
    Explore at:
    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, 2018 - Jun 1, 2019
    Area covered
    Brazil
    Description

    Brazil Project Cost: PR6-3QP7181: Residential Building: High: São Paulo data was reported at 1,087.480 BRL/sq m in Jun 2019. This records an increase from the previous number of 1,081.720 BRL/sq m for May 2019. Brazil Project Cost: PR6-3QP7181: Residential Building: High: São Paulo data is updated monthly, averaging 669.805 BRL/sq m from Jan 1999 (Median) to Jun 2019, with 246 observations. The data reached an all-time high of 1,087.480 BRL/sq m in Jun 2019 and a record low of 277.290 BRL/sq m in Jan 1999. Brazil Project Cost: PR6-3QP7181: Residential Building: High: São Paulo data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Construction and Properties Sector – Table BR.EB040: Project Cost per Square Meter: Residential Building (PR6-3QP7181): by Standard of Finishing: High: by State. PR6-3QP7181: Residential building (PR), pillars (P), 6-story, living room, 3 bedrooms, traffic flow, 2 bathrooms, American kitchen, laundry room, maid’s bedroom and bathroom.

  20. Brazil Project Cost: CR.1-3Q104: Residential House: High: Paraná

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Brazil Project Cost: CR.1-3Q104: Residential House: High: Paraná [Dataset]. https://www.ceicdata.com/en/brazil/project-cost-per-square-meter-residential-house-cr13q104-by-standard-of-finishing-high-by-state/project-cost-cr13q104-residential-house-high-paran
    Explore at:
    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, 2018 - Jun 1, 2019
    Area covered
    Brazil
    Description

    Brazil Project Cost: CR.1-3Q104: Residential House: High: Paraná data was reported at 1,390.980 BRL/sq m in Jun 2019. This records an increase from the previous number of 1,387.830 BRL/sq m for May 2019. Brazil Project Cost: CR.1-3Q104: Residential House: High: Paraná data is updated monthly, averaging 829.340 BRL/sq m from Jan 1999 (Median) to Jun 2019, with 246 observations. The data reached an all-time high of 1,390.980 BRL/sq m in Jun 2019 and a record low of 351.530 BRL/sq m in Jan 1999. Brazil Project Cost: CR.1-3Q104: Residential House: High: Paraná data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Construction and Properties Sector – Table BR.EB010: Project Cost per Square Meter: Residential House (CR.1-3Q104): by Standard of Finishing: High: by State. CR.1-3Q104: Residential house (CR), 1-story, balcony, living room, 3 bedrooms, traffic flow, bathroom, half bath, kitchen, laundry room, maid’s bedroom and bathroom.

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Yuting Zhou; Yunpei Wang; Qingnian Wang (2024). Time series analysis of economic growth effects. [Dataset]. http://doi.org/10.1371/journal.pone.0302494.t004

Time series analysis of economic growth effects.

Related Article
Explore at:
xlsAvailable download formats
Dataset updated
Jun 20, 2024
Dataset provided by
PLOS ONE
Authors
Yuting Zhou; Yunpei Wang; Qingnian Wang
License

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

Description

The Global Investment Report 2023 revealed that after a sharp decline in 2020 and a strong rebound in 2021, global foreign direct investment (FDI) declined by 12 percent to $1.3 trillion in 2022. However, in developing countries, FDI increased by 4% to $916 billion, a record share of more than 70% of global flows. The number of greenfield investment projects in developing countries increased by 37 percent and international project finance transactions by 5 percent. Foreign investment from China, the second largest recipient of foreign investment globally, increased by 5 percent. The service industry has become the mainstream industry in the global FDI structure. The global industry is accelerating its transformation to a "service-based economy," international FDI in productive service industries has become an essential means of industrial transfer in developed countries and a meaningful way to upgrade the industrial structure and high-quality development in emerging economies. As a representative province in central China, Hubei Province has unique advantages in human capital, factor cost, and market potential, which provide preferential conditions to attract foreign investment. This paper first introduced the concept of the productive service industry, based on the relevant statistical data from 2011 to 2022, focused on the current situation of foreign investment utilization in five major sub-sectors of the productive service industry in Hubei Province in the past ten years, and empirically investigated the impact of foreign investment utilization in five major sub-sectors of the productive service industry on the economic growth of Hubei Province, and obtained that the level of foreign investment attraction varied significantly among the regions in Hubei Province. The three productive service industries, namely transportation, storage and postal services, information transmission, software and information technology services, and financial services, played a significant role in the active attraction and optimal utilization of foreign capital and the economic development of Hubei Province. Based on this, it was proposed to build a market-oriented rule of law and internationalized business environment, improve the infrastructure construction in different regions of the province, focus on the training of professional talents for the development of productive service industries, and pay attention to the improvement of independent innovation capacity.

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