Abstract

Regions are important and invariably constitute largely rural areas. This being the case, it is interesting to find that the condition of being rural fluctuates significantly, especially in the United States, and is largely contingent upon federal definitions that consider population and proximity to metropolitan areas for delineating the geographic boundaries of a rural place. Variations in definitions, both nuanced and more substantial, make classification mutable for many communities but underlies the challenge for evaluating, understanding, and improving rural conditions. This is particularly true when conducting exploratory and confirmatory analysis based on indicators and methods that identify/monitor troubled rural areas as well as support assessment of aid programs and/or public policy. The purpose of this article is to review alternative definitions of rural within the context of interpretation that relies on indicators. This highlights a number of issues, as conditions of rural polymorphism make scientific assessment challenging in many ways. Empirical evidence of indicator impacts is offered through a study of the medically uninsured in the state of Kentucky, highlighting how this can alter planning and policy interpretation.

Original languageEnglish (US)
JournalInternational Regional Science Review
DOIs
StatePublished - Jan 1 2019

Fingerprint

rural area
interpretation
metropolitan area
aid
agglomeration area
polymorphism
public policy
planning
community
evidence
indicator
world
policy
method
public
analysis
programme

Keywords

  • indicators
  • methods
  • rural
  • spatial analysis
  • uncertainty

ASJC Scopus subject areas

  • Environmental Science(all)
  • Social Sciences(all)

Cite this

Evolving Regional Analytics in a Rural World. / Murray, Alan T.; Grubesic, Anthony.

In: International Regional Science Review, 01.01.2019.

Research output: Contribution to journalArticle

@article{de3582be92634f869d84dc2d8a80dc24,
title = "Evolving Regional Analytics in a Rural World",
abstract = "Regions are important and invariably constitute largely rural areas. This being the case, it is interesting to find that the condition of being rural fluctuates significantly, especially in the United States, and is largely contingent upon federal definitions that consider population and proximity to metropolitan areas for delineating the geographic boundaries of a rural place. Variations in definitions, both nuanced and more substantial, make classification mutable for many communities but underlies the challenge for evaluating, understanding, and improving rural conditions. This is particularly true when conducting exploratory and confirmatory analysis based on indicators and methods that identify/monitor troubled rural areas as well as support assessment of aid programs and/or public policy. The purpose of this article is to review alternative definitions of rural within the context of interpretation that relies on indicators. This highlights a number of issues, as conditions of rural polymorphism make scientific assessment challenging in many ways. Empirical evidence of indicator impacts is offered through a study of the medically uninsured in the state of Kentucky, highlighting how this can alter planning and policy interpretation.",
keywords = "indicators, methods, rural, spatial analysis, uncertainty",
author = "Murray, {Alan T.} and Anthony Grubesic",
year = "2019",
month = "1",
day = "1",
doi = "10.1177/0160017619827071",
language = "English (US)",
journal = "International Regional Science Review",
issn = "0160-0176",
publisher = "SAGE Publications Inc.",

}

TY - JOUR

T1 - Evolving Regional Analytics in a Rural World

AU - Murray, Alan T.

AU - Grubesic, Anthony

PY - 2019/1/1

Y1 - 2019/1/1

N2 - Regions are important and invariably constitute largely rural areas. This being the case, it is interesting to find that the condition of being rural fluctuates significantly, especially in the United States, and is largely contingent upon federal definitions that consider population and proximity to metropolitan areas for delineating the geographic boundaries of a rural place. Variations in definitions, both nuanced and more substantial, make classification mutable for many communities but underlies the challenge for evaluating, understanding, and improving rural conditions. This is particularly true when conducting exploratory and confirmatory analysis based on indicators and methods that identify/monitor troubled rural areas as well as support assessment of aid programs and/or public policy. The purpose of this article is to review alternative definitions of rural within the context of interpretation that relies on indicators. This highlights a number of issues, as conditions of rural polymorphism make scientific assessment challenging in many ways. Empirical evidence of indicator impacts is offered through a study of the medically uninsured in the state of Kentucky, highlighting how this can alter planning and policy interpretation.

AB - Regions are important and invariably constitute largely rural areas. This being the case, it is interesting to find that the condition of being rural fluctuates significantly, especially in the United States, and is largely contingent upon federal definitions that consider population and proximity to metropolitan areas for delineating the geographic boundaries of a rural place. Variations in definitions, both nuanced and more substantial, make classification mutable for many communities but underlies the challenge for evaluating, understanding, and improving rural conditions. This is particularly true when conducting exploratory and confirmatory analysis based on indicators and methods that identify/monitor troubled rural areas as well as support assessment of aid programs and/or public policy. The purpose of this article is to review alternative definitions of rural within the context of interpretation that relies on indicators. This highlights a number of issues, as conditions of rural polymorphism make scientific assessment challenging in many ways. Empirical evidence of indicator impacts is offered through a study of the medically uninsured in the state of Kentucky, highlighting how this can alter planning and policy interpretation.

KW - indicators

KW - methods

KW - rural

KW - spatial analysis

KW - uncertainty

UR - http://www.scopus.com/inward/record.url?scp=85061922770&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85061922770&partnerID=8YFLogxK

U2 - 10.1177/0160017619827071

DO - 10.1177/0160017619827071

M3 - Article

JO - International Regional Science Review

JF - International Regional Science Review

SN - 0160-0176

ER -