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What Can Rural Communities Do to Be Sustained?

Author

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  • Rachel J. C. Chen

    (Center for Sustainable Business and Development, the University of Tennessee, 311 Conference Center Building, Knoxville, TN 37996-4134, USA)

Abstract

Since the Appalachian Regional Commission (ARC) was founded in 1965, various reports have been presented to summarize the progress in terms of economic development, strengths, weaknesses, opportunities, and threats among studied communities in the Appalachian region. The purposes of this study were to investigate (1) the condition and usage of facilities and services in the studied communities; (2) what factors contribute to local growth in improving areas; and (3) what barriers deter growth in the studied communities based on the perceptions of study participants. Ten studied counties were categorized based on their topography, demographics, and economics. Each sub-region has two selected counties (non-distressed and distressed) to represent and compare their similar topography and various stages of demographic opportunities and economic development and challenges. Location is recognized as one of the significant factors that affect communities’ development. Counties perform better when they are adjacent to urban areas, own major transportation corridors, and have more supplies of natural resources than those located in more rural areas with fewer resources. This study noted the need to improve communication infrastructure (such as Internet access, broadband, and mobile communications) that impact local development opportunities and public safety.

Suggested Citation

  • Rachel J. C. Chen, 2016. "What Can Rural Communities Do to Be Sustained?," Sustainability, MDPI, vol. 8(9), pages 1-11, September.
    • Handle: RePEc:gam:jsusta:v:8:y:2016:i:9:p:930-:d:77977
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    Cited by:

    1. Oluleye, Gbemi & Allison, John & Hawker, Graeme & Kelly, Nick & Hawkes, Adam D., 2018. "A two-step optimization model for quantifying the flexibility potential of power-to-heat systems in dwellings," Applied Energy, Elsevier, vol. 228(C), pages 215-228.
    2. Bilton, Penny & Jones, Geoff & Ganesh, Siva & Haslett, Steve, 2017. "Classification trees for poverty mapping," Computational Statistics & Data Analysis, Elsevier, vol. 115(C), pages 53-66.
    3. Kulam, Adam, 2021. "US Community Development Capital Initiative (CDCI)," Journal of Financial Crises, Yale Program on Financial Stability (YPFS), vol. 3(3), pages 786-820, April.
    4. Phillips, Peter M. & João, Elsa, 2017. "Land use planning and the ecosystem approach: An evaluation of case study planning frameworks against the Malawi Principles," Land Use Policy, Elsevier, vol. 68(C), pages 460-480.
    5. Velmurugan, Manivannan Senthil, 2017. "Sustainable perspectives on energy consumption, EMRF, environment, health and accident risks associated with the use of mobile phones," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 192-206.
    6. Ghosh, Sumita, 2021. "Urban agriculture potential of home gardens in residential land uses: A case study of regional City of Dubbo, Australia," Land Use Policy, Elsevier, vol. 109(C).
    7. Briggs, Ryan C., 2018. "Poor targeting: A gridded spatial analysis of the degree to which aid reaches the poor in Africa," World Development, Elsevier, vol. 103(C), pages 133-148.
    8. Kerr, Sandy & Johnson, Kate & Weir, Stephanie, 2017. "Understanding community benefit payments from renewable energy development," Energy Policy, Elsevier, vol. 105(C), pages 202-211.
    9. Kovács, András & Bátai, Roland & Csáji, Balázs Csanád & Dudás, Péter & Háy, Borbála & Pedone, Gianfranco & Révész, Tibor & Váncza, József, 2016. "Intelligent control for energy-positive street lighting," Energy, Elsevier, vol. 114(C), pages 40-51.

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