Productivity
Research Topic
Language: English
This is a research topic created to provide authors with a place to attach new problem publications.
Research problems linked to this topic
- How can we best measure quality and effectiveness within our workforces (taking account of the range of outcomes we want to deliver)? How does this vary for different types of workers and at different stages in their careers?
- Does work-related ill health have any impacts and consequences for individuals and society, including human costs, costs of ill health and impacts upon productivity and employment?
- How can innovation boost productivity to transform and future proof the food and farming system in ways that are sustainable and resilient; including the use of agritech, robotics, and automation to drive change and enable food and farming sectors to compete globally?
- How does wide-spread take-up of 4G mobile connectivity affect businesses on a local and national level? What impact might it have on (i) productivity, (ii)competition, (iii) economic performance, (iv) human capital? How does this differ for different business sectors?
- What does international evidence tell us about effective combinations of government and devolved support for local growth? How important is this in tackling productivity differentials between areas?
- In what ways can AI and other digital technology reduce teacher workload and improve student outcomes? How can AI and digital technology impact on productivity?
- How much training do creative employers provide employees, what are they spending and how are they measuring the returns to training?
- To what extent do we have evidence on the impacts of transport investment on specific areas such as the spatial distribution of productivity or social mobility and inclusion?
- Productivity: What are the possible direct and indirect productivity impacts of AI?
- How does LawTech affect the productivity, cost effectiveness, and efficiency of different services and outputs in the legal sector?
- Are current adult training and skills programmes, including adult community learning, effective at giving people the skills needed for employment, and the skills that business needs?
- How does the effectiveness of technical education, apprenticeships and adult training in the UK compare to leading jurisdictions internationally?
- What are the impacts of shared mobility, for example on congestion, productivity, and cost to the user?
- "R&D : In which areas of AI R&D is the UK strongest? What are the most significant AI R&D opportunities for the UK? Which government interventions are most effective for boosting UK AI R&D (relative to such goals as economic growth, productivity and security)?"
- Why has construction sector productivity declined in the UK and in other countries in the recent years? Are there examples of policies across the world which have successfully addressed this?
- How can we quantify the economic risk of workforce skill gaps and how this impacts economic productivity within the CI sub sectors?
- How can police resources be better tailored to variations in work load?
- Strengthening the evidence base on the measurement of police productivity and how marginal changes in types of police spend can improve outcomes.
- Which criteria are most effective in establishing long-term sectoral growth potential?
- Detailed company data on tangible and intangible assets, as well as use of materials, to produce estimates of both labour productivity and total factor productivity.
- Identify the key drivers/determinants of productivity within AHT sectors, including which policies can increase the economic productivity of organisations.
- What is the range of productivity performance across public services in the UK? What are the characteristics of highest productivity public services and what needs to happen to raise productivity in lower productivity services? How could existing measures of public sector productivity be further improved? Which countries have the highest productivity in their delivery of public services? What lessons can the UK learn from international best practice?
- How are skills and productivity linked, and how is this changing over time?
- What are the longer-term impacts and consequences on the labour market and on productivity of policies introduced to address the challenges of COVID-19?
- Quality or quantity: Does AI enable the delivery of better outputs and increased quality from firms and businesses?
- Identifying the distribution of productivity benefits from telecoms infrastructure investment (fixed and wireless): (i) to what extent can, or has, telecoms investment reduce(d) the difference in productivity between areas of the UK? (ii) what is the impact of telecoms infrastructure on the differences in productivity between firms within sectors (e.g. can it help address the issue of ‘long-tail’ of low productivity firms)? And how do the productivity impacts differ between different industries? (iii) what are the barriers to scaling up wireless enterprise applications for growth and how are they changing? (iv) How do productivity impacts vary across public mobile networks, private mobile networks (e.g. private 5G) and fixed networks including the role of Wi-Fi? For further relevant questions on productivity see BDUK section 9.
- What are the challenges and opportunities for the UK HE sector to remain internationally competitive?
- What has been effective in supporting businesses to adopt digital technologies? What difference have these made to productivity?
- What is the productivity premium on exporters versus non-exporters in the UK?
- What are the country’s future skills needs to support growth and prosperity, particularly in STEM and green skills?
- How does wide-spread take-up of gigabit connectivity affect businesses on local and national level? What impact might it have on (i) productivity, including Business-to-Business transactions [for further relevant questions on productivity see Digital Infrastructure section 1], (ii) competition, (iii) economic performance, (iv) human capital? How does this differ for different business sectors?
- How can the impact of digital technology be robustly measured, and implemented in a way that supports teachers and learners? • How can we adapt research methodologies to robustly measure the impact of technology in education, given its fast-moving nature?
- Assess and evaluate the most effective methods of measuring the impact of tourism marketing, to demonstrate its effectiveness and value for money.
- What are the wider non-salary benefits of HE and FE for individuals, communities and society? • What are the benefits of HE and FE on individual wellbeing, physical and mental health, societal engagement, and long-term employment? • What are the wider societal benefits of HE and FE study and provision (including the local and national benefits generated by HE/FE providers)?
- What is the stock of skills in the economy, where are there mismatches between need and availability? Where will the greatest skills needs be across the medium (5-10 years) and long-term (10 to 20+ years)? What impacts might we expect AI to have on future skills needs?
- How can we harness the potential benefits of technological advances (such as increased productivity across our sectors, or better-informed decisions by learners about opportunities), while keeping children safe?
- How could modern materials and construction techniques be used to improve both the safety and, through weight reduction, the productivity of dangerous goods tanks?
- "• How can we help the UK HE sector to be internationally competitive and financially secure while meeting key domestic needs?"
- What are the determinants of demand and quality for technical education, apprenticeships and adult training? How do they vary (e.g. geographically, demographically) and how it can they be influenced?
- What are the most effective approaches to upskilling the education workforce to use AI well? What impact could this have on productivity?
- • What are the potential long-term opportunities and challenges of AI (artificial intelligence) use across our sectors, and at all education stages?
- Micro productivity: To what extent does AI impact firm level productivity?
- • In what ways can AI (artificial intelligence) and other digital technology reduce workload, improve teaching quality, help track progress and improve outcomes? How can AI and digital technology impact on productivity, efficiency, and costs?
- Strengthening the evidence base on how the police can increase investigative outcomes and reduce attrition.