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Mapping the production, diffusion and drivers of future technologies

Mapping the production, diffusion and drivers of future technologies
绘制未来技术的生产、传播和驱动因素
批准号:
ES/T002506/1
负责人:
Mirko Draca
金额:
$63.99万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2019
资助国家:
英国
项目状态:
已结题
起止时间:
2019 至 --

项目摘要

项目成果

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中文摘要
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英文摘要
We propose to map and track the state of technological change in the UK, understand its drivers, impacts and help to improve the UK's productivity record via our collaboration and engagement with industry and policymakers. We focus on the role of frontier or 'future' technologies, such as AI, robotics, clean tech, blockchain and quantum. The contribution of these technologies to UK productivity will depend on the twin channels of their production and use (diffusion), the determinants of which we will seek to model theoretically and empirically. We will build up quantitative evidence on economic activity in the UK's 'future-technology-producing' and 'future-technology-using' sectors. First, through description - which will include both sectoral and geographical elements; and second through building evidence on the extent to which financial or skills frictions constrain investment. We are therefore addressing two of the challenges set out by the PIN workshop: understanding and improving innovation diffusion; and understanding and improving regional and local productivities. An innovation in our approach is that we will use a range of emerging databases on technology-oriented firms linked to text-based information on their activities to build a comprehensive empirical picture of the future technology sectors. We will also use these databases to track the diffusion of technologies in novel ways, and plan to conduct a survey to shed more light on the barriers to diffusion, for SMEs in particular. We will work together with leading industry and policy stakeholders with expertise on new technologies, relevant data and techniques. Our empirical exercises will be guided by a conceptual framework that will model the effect of frictions in the financial market and the labor market on innovation, diffusion and economic growth. Our project deliverables will consistent of four main components: 1. Future sector data and measurement network: Together with our project collaborators, we will host two major research meetings involving academics studying future technologies and relevant stakeholders from policy and business (e.g. NESTA and Be the Business). The first of these would seek to bring together the key stakeholders and set the agenda for research; and the second would involve presentations of our findings and developing an ongoing research agenda. We would also hold intermediate less formal working sessions.2. Report: Our core deliverable after 18 months will be a report containing (i) a review of the relevant literature, empirical and theoretical; (ii) new descriptive statistics of the size, geography, structure and performance of the future technology sector in the UK (comparing and contrasting with traditional SIC based estimates); (iii) a conceptual framework to inform the drivers of the production and adoption of future technologies - by building a minimalistic model, the theory will aim to guide the empirical exercises using new data we collect or consolidate; and (iv) empirical modelling of production and adoption of future technology using new firm level databases and a survey, including external (to the firm) measures of the supply of finance/skills where possible.3. Agenda for future academic research with new co-authorships from the project team: extending theoretical work and testing its predictions using our new data, and identifying areas where additional data are required. We envisage that the project will lead to the development of at least 2 academic papers, most likely one more focused on the FTP firms, and one on the FTU sectors, with paths to causal identification.4. Data: Where the data we are using are purchased, we will seek to provide resources and guidance for researchers wishing to build on our analysis. According to standard academic practice, we would share our own generated survey data on an anonymised basis to interested parties, via the UKDS as appropriate.
期刊论文(2)
专著(0)
科研奖励(0)
会议论文
Economic challenges and success in the post-COVID era
后疫情时代的经济挑战和成功
DOI: --
发表时间: 2021
期刊:
影响因子: --
作者: [Crafts N]
通讯作者: Crafts N
Revolution in Progress
革命正在进行中
DOI: --
发表时间: 2022
期刊:
影响因子: --
作者: [Draca, M]
通讯作者: Draca, M
Rescuing a `Sick' Labour Market: Using Online Vacancy Data to Track COVID-19's Economic Impact.
  • 批准号:
    ES/V008072/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $10.81万
  • 财政年份:
    2020
  • 负责人:
    Mirko Draca
  • 依托单位:
Centre for Competitive Advantage in the Global Economy (CAGE)
  • 批准号:
    ES/S007121/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $117.33万
  • 财政年份:
    2020
  • 负责人:
    Mirko Draca
  • 依托单位:
The Analysis of Automation by Means of Automation: A Machine Learning Approach to Job Tasks.
  • 批准号:
    ES/N002814/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $16.84万
  • 财政年份:
    2016
  • 负责人:
    Mirko Draca
  • 依托单位:
Competitive Advantage in the Global Economy (CAGE)
  • 批准号:
    ES/L011719/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $458.08万
  • 财政年份:
    2015
  • 负责人:
    Mirko Draca
  • 依托单位:
国内基金
海外基金
交货期敏感的单件模式产品供应链的协调优化
  • 批准号:
    70871060
  • 项目类别:
    面上项目
  • 资助金额:
    24.0万元
  • 批准年份:
    2008
  • 负责人:
    杨文胜
  • 依托单位:
供应链中生产和配送联合排序和调度的模型、算法及应用
  • 批准号:
    70372058
  • 项目类别:
    面上项目
  • 资助金额:
    14.0万元
  • 批准年份:
    2003
  • 负责人:
    万国华
  • 依托单位: