Short answer
Prioritize the development and utilization of granular regional data to ensure that design and policy interventions are contextually relevant and effective.
- Field
- Innovation & Design
- Source
- Arrow@dit (Dublin Institute of Technology) (2011)
- Method
- Compilation and analysis of integrated regional input-output tables.
- Evidence
- Strong effect
A significant lack of detailed regional economic data, specifically input-output tables, impedes the development of effective regional economic models and evidence-based policy. This innovation & design research insight is drawn from a 2011 study published in Arrow@dit (Dublin Institute of Technology). Using Compilation and analysis of integrated regional input-output tables., researchers explored how this design variable affects real-world outcomes. The key design takeaway: Prioritize the development and utilization of granular regional data to ensure that design and policy interventions are contextually relevant and effective.
Regional Economic Data Gaps Hinder Policy Formulation
A significant lack of detailed regional economic data, specifically input-output tables, impedes the development of effective regional economic models and evidence-based policy.
Arrow@dit (Dublin Institute of Technology) · 2011
Key Findings
- 01A significant lacuna exists in regional import and export statistics, hindering the development of regional economic analyses.
- 02The study presents the first set of fully integrated, symmetric, Supply and Use and domestic Input-Output Tables for Ireland's NUTS 2 regions.
- 03These tables reveal underlying structural differences in regional trade balances and Gross Value Added composition.
- 04The Input-Output framework, when applied with relaxed static assumptions, shows predictive capability for regional economic impacts.
Application
Design takeaway
Prioritize the development and utilization of granular regional data to ensure that design and policy interventions are contextually relevant and effective.
How to apply
When designing for specific regions or communities, seek out or advocate for detailed local economic data to understand inter-industry dependencies and employment impacts.
Project actions
- 01When researching a specific location for a design project, investigate the availability of local economic data.
- 02Consider how supply chains and inter-industry relationships might differ between regions and how this impacts your design.
Method & Evidence
Variables
Strengths & Limitations
Strengths
- +First set of fully integrated, symmetric, Supply and Use and domestic Input-Output Tables for Ireland's NUTS 2 regions.
- +Utilizes a survey-based, bottom-up approach for greater credibility.
Limitations
The difficulty in obtaining comprehensive regional data can be a significant constraint for design projects.
Reliability & validity
The study's reliance on a survey-based approach aims to enhance the reliability and validity of the compiled input-output tables compared to purely model-based estimations. Consistency with national tables further strengthens validity.
Think critically
How might the absence of detailed regional economic data influence the design of products or services intended for widespread adoption across different geographical areas?
Design Principles
"Data-driven regional analysis is essential for effective policy and design."
Understanding the intricate economic flows within specific regions is crucial for targeted policy interventions and resource allocation. Without this granular data, designers and policymakers operate with incomplete information, potentially leading to inefficient or misdirected strategies.
What This Means for Your Design
It's hard to make good plans for different areas if you don't have detailed information about how money and jobs work in those specific areas. This study created that missing information for two regions in Ireland, showing how different they are and how useful this detailed information is for making better plans.
How to use in your project
- 1.Reference this study to justify the importance of gathering specific regional data for your design project.
- 2.Use the findings to highlight how a lack of data can hinder effective design and policy development.
Add to My Project
Quick Cite
Paragraph starter
The persistent lacuna in regional economic data, as highlighted by MacFeely (2011), underscores the critical need for detailed input-output tables to inform effective policy and design. This research demonstrates that without such granular data, the capacity to develop robust regional models and evidence-based strategies is significantly retarded, impacting the potential for targeted and successful design interventions.
Source
Arrow@dit (Dublin Institute of Technology)
Compilation and analysis of integrated regional input-output tables for NUTS 2 regions in Ireland
journal · 2011
View sourceQuestions About This Research
- What does the research say about regional economic data gaps hinder policy formulation?
- Prioritize the development and utilization of granular regional data to ensure that design and policy interventions are contextually relevant and effective. Evidence: Arrow@dit (Dublin Institute of Technology) (2011).
- Why does "Regional Economic Data Gaps Hinder Policy Formulation" matter for design?
- Understanding the intricate economic flows within specific regions is crucial for targeted policy interventions and resource allocation. Without this granular data, designers and policymakers operate with incomplete information, potentially leading to inefficient or misdirected strategies.
- How can designers apply this research?
- Prioritize the development and utilization of granular regional data to ensure that design and policy interventions are contextually relevant and effective.
- What were the main findings?
- A significant lacuna exists in regional import and export statistics, hindering the development of regional economic analyses.. The study presents the first set of fully integrated, symmetric, Supply and Use and domestic Input-Output Tables for Ireland's NUTS 2 regions.. These tables reveal underlying structural differences in regional trade balances and Gross Value Added composition.. The Input-Output framework, when applied with relaxed static assumptions, shows predictive capability for regional economic impacts.
- What research method was used?
- Compilation and analysis of integrated regional input-output tables..
- How strong is the evidence?
- Evidence strength is rated Strong effect, based on a 2011 journal from Arrow@dit (Dublin Institute of Technology).
- What should I do differently in my next project?
- When designing for specific regions or communities, seek out or advocate for detailed local economic data to understand inter-industry dependencies and employment impacts.
- What are the limitations?
- The study acknowledges the historical difficulty in obtaining sufficient regional data, which remains a challenge for comprehensive analysis.