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Technological Forecasting & Social Change

ISSN: 0040-1625

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Datasets associated with articles published in Technological Forecasting & Social Change

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1970
2024
1970 2024
11 results
  • Data for: ICT and environmental quality in Sub-Saharan Africa
    The database is sourced from the World Development Indicators, annually usued by the World Bank. Data is on a sample of 21 Sub-Saharan Africa over the 1996-2014 period.
    • Dataset
  • Data for: Induced Innovation in Clean Energy Technologies from Foreign Environmental Policy Stringency?
    These data are provided for our research on policy induced clean technology innovations across borders. We have obtained the data from the OECD, World Bank, United Nations, and government webpages of individual countries. Please cite accordingly.
    • Tabular Data
  • Data for: Induced Innovation in Clean Energy Technologies from Foreign Environmental Policy Stringency?
    This dataset covers 32 countries from 1996-2011. We have created a large number of domestic clean technology innovation measures, using RTA form. Many control variables are also included, including "foreign" environmental policy stringency, institutional quality proxies, knowledge stocks, R&D per GDP, renewable energy production and consumption, and ICT / High tech exports. Please write authors before using this dataset and cite accordingly (Herman & Xiang, 2019b).
    • Software/Code
  • Data for: Extreme Natural and Man-Made Events and Human Adaptive Responses Mediated by Information and Communication Technologies’ Use: A Systematic Literature Review
    File #1: Data coding scheme and categories File #2: Includes a more extensive analysis of the 60 articles (also available online on OSF at https://osf.io/n7r9e/?view_only=e3f515294a3e449a9792060c484d24cc ). This analysis focused on: study characteristics (number of participants and observations/messages; geographical coverage; period of observation/data collection; studied events); extreme event(s) studied; ICT devices and platforms from which data was collected; coding in the three adaptive functions categories; and source of coping response (individuals or organizations). In addition, full bibliographic references of these 60 articles were included in the file, rather than in the article’s reference list, due to its extension.
    • Dataset
  • Data for: How patent signals affect venture capital: the evidence of bio-pharmaceutical start-ups in China
    To conduct our analysis, we built a dataset comprising 457 bio-pharmaceutical start-ups in China and their patents. The start-up VC data was sourced from the Zero2IPO database, a comprehensive, accurate and timely professional database covering VC events since 1992 in China . It is a reliable data source from one of China’s major large venture capital data information service providers and many research about China’s venture capital used it (Dang et al., 2011; Luo et al., 2016). We got the data on 3 November 2017 using the industry classifications ‘biotechnology’ and ‘medicine’ as the search criteria. Information on specific VC investments was gathered using a web crawler. Only investments in the angel, seed, Pre-A, and A~G rounds was captured, along with the “New Third Board” rounds. (The “New Third Board” is an OTC equity financing scheme sponsored by the Chinese government that allows listed companies to issue a non-public offering of stocks to specific targets with some restrictions). We used Tianyancha and Qichacha (two comprehensive enterprise information query tools, widely used in China’s business practice and academic research (Lili et al., 2018; Xizi & Wenyuan, 2017)) to collect other basic information about each start-up, e.g., date of registration, registered address, etc. We excluded any records with incomplete fields, resulting in a total of 535 VC investments into 457 start-ups (some start-ups received multiple investments). Patent data was retrieved from PSS using the name of each startup as the search word under ‘Patentee’. First, we searched using the full name. If that search returned no results, we searched again using a selected keyword in the name. Retrieved patents were only recorded and counted if the patent was granted prior to a VC investment. What’s more, there might be difference between out-licensed and in-licensed patents in the view of investors. So we just chose the start-ups whose patents have no record of patent transfer. Of the 457 start-ups, 227 held existing patents at the time of financing and these firms received 275 investments. However, there are only two VC events are invented by state-owned VC, the Sdicfund. It’s too few to control this variable. So we delete these two events to make sure all the VC investors are private VC, which means we get 226 start-ups and 273 events with patents.
    • Dataset
  • Data for: Exploring the effects of inter-firm linkages on SMEs’ open innovation from an ecosystem perspective: An empirical study of Chinese manufacturing SMEs
    Raw survey data about innovation activities of Chinese manufacturing firms
    • Dataset
  • Data for: CAN WE MAKE USE OF PERCEPTION OF QUESTIONS’ EASINESS IN DELPHI-LIKE STUDIES?
    Primary data collected in an experiment: [variable: basic description] session: session number date: session date round: round number numquest: question number quest: question (in Portuguese). See article for its translated version. indiv: respondent identification sex: respondent gender birth: respondent date of birth rate: self-rating. Scale 1 to 5. (1: very difficult; 2: difficult; 3: moderate; 4: easy; 5: very easy) answer: answer given by respondent true_value: question’s true value dt_fut: date in the future referred in the question feed: feedback type. (0: Classic feedback (or control) ; 1: Elite feedback (or treatment))
    • Dataset
  • Data for: Investment Cost Optimization for Industrial Project Portfolios using Technology Mining
    Python code for Simulation
    • Dataset
  • Data for: Time discounting and consumer preferences - Insights for accelerating the adoption of efficient energy technologies
    A review of consumer discount rates for efficient energy and transport technologies
    • Dataset
  • Data for: Scientific research driven by large-scale infrastructure projects: a case study of the Three Gorges Project in China
    Replication Data for: Scientific research driven by large-scale infrastructure projects: a case study of the Three Gorges Project in China
    • Dataset
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