Reframing spatial policy through targeting diagnostic tools
Potential and deprivation
Bibliographic Data
| ID | 12913794 |
|---|---|
| Authors | Christopher Hooton (0000-0002-3999-0107, George Washington University, corresponding author) |
| Year | 2021 |
| Volume | 15 |
| Issue | 1 |
| Pages | 57-74 |
| Publication date | 2021-10-10 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Cambridge Journal of Regions Economy and Society (JOURNAL) |
| Journal identifiers | ISSN: 1752-1386 • E-ISSN: 1752-1378 |
| Publisher | Oxford University Press (OUP) (PUBLISHER) |
| DOI | 10.1093/cjres/rsab032 |
| OpenAlex | W3215794487 |
| Language | EN |
| Citations received | 5 |
| References cited | 35 |
Spatial policy targeting can differ greatly across programs due to myriad thematic goals, geographical unit systems, and conceptualisations. The current paper seeks to better understand how these differences may impact policy effectiveness by examining the theory of spatial targeting accuracy and the methodological tools for assessing it ex ante. It is the first comprehensive examination, to the extent of the author’s knowledge, of these concepts. The paper finds two clear families of diagnostic tools—concentration-based measures and characteristic-based measures—and two conceptual camps for improving ex ante accuracy—one based on economic potential and one based on deprivation
Cognitive reframing · Data science · Economics · Ex-ante · Macroeconomics · Public economics · Computer Science · Psychology · Regional Development and Policy · Regional Economics and Spatial Analysis · Spatial and Panel Data Analysis · Social Psychology
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| Citations per year | 1 |
|---|---|
| Citation span | 2021 - 2024 (4) |
| Highly cited | No |