Green Infrastructure Vulnerability and Regional Poverty Reduction: New Sustainable Development Recommendations Based on a Spatial Clustering Approach.

Poverty is always associated with poor green infrastructure. Indonesia has a significant poverty rate and low green infrastructure investment. Therefore, this study uses fuzzy clustering with area weighting (FGWC-HHOP) and 2018 Potential Village Census (PODES) data to analyze green infrastructure ri...

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Publicado en:Journal of Poverty Vol. 30; no. 4; pp. 348 - 372
Autores principales: Sumargo, Bagus, Kurniawan, Robert, Nasution, Bahrul Ilmi, Firmansyah, Aldi, Laksono, Bagaskoro Cahyo, Gio, Prana Ugiana, Isnaeni, Mohamad Andrian, Yusuf, Mukhtar, Tarigan, Vita Cita Emia
Formato: Artículo
Publicado: Taylor & Francis Ltd Jun/Jul2026
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Green Infrastructure Vulnerability and Regional Poverty Reduction: New Sustainable Development Recommendations Based on a Spatial Clustering Approach.
      aug:
        au:
          Sumargo, Bagus
          Kurniawan, Robert
          Nasution, Bahrul Ilmi
          Firmansyah, Aldi
          Laksono, Bagaskoro Cahyo
          Gio, Prana Ugiana
          Isnaeni, Mohamad Andrian
          Yusuf, Mukhtar
          Tarigan, Vita Cita Emia
        affil:
          Department of Population and Environmental Education, Faculty of Post-Graduate, State University of Jakarta, Jakarta, Indonesia
          Department of Statistics, Faculty of Mathematics and Natural Science, State University of Jakarta, Jakarta, Indonesia
          Department of Statistical Computing, Politeknik Statistika STIS, Jakarta, Indonesia
          Department of Communication, Informatics, and Statistics, Jakarta Smart City, Jakarta Pusat, Jakarta, Indonesia
          Directorate of Distribution Statistics, BPS-Statistics, Jakarta, Indonesia
          Department of Mathematics, Universitas Sumatera Utara, Medan, Indonesia
          Development Economics Program, Faculty of Economics and Business, Sebelas Maret University, Surakarta, Indonesia
          Bapperida Agency of Development Planning, Research and Development, Sragen Regency, Sragen, Indonesia
          Faculty of Law, Universitas Sumatera Utara, Medan, Indonesia
      su:
        Green infrastructure
        Poverty reduction
        Socioeconomic disparities in health
        Sustainable development
        Indonesians
        Urban poor
        Environmental policy
        Clustering algorithms
        Indonesia
      sug:
        subj:
          Indonesia
          Green infrastructure
          Poverty reduction
          Socioeconomic disparities in health
          Sustainable development
          Indonesians
          Urban poor
          Environmental policy
          Clustering algorithms
      keyword:
        Fuzzy clustering
        green infrastructure
        poverty alleviation
        vulnerability
      ab: Poverty is always associated with poor green infrastructure. Indonesia has a significant poverty rate and low green infrastructure investment. Therefore, this study uses fuzzy clustering with area weighting (FGWC-HHOP) and 2018 Potential Village Census (PODES) data to analyze green infrastructure risk and poverty in Indonesia. The first cluster, which is mainly urban, is vulnerable, while the second cluster has poor air quality and green infrastructure. Future government policies should encourage sustainable development, especially green infrastructure, to reduce social vulnerability. Consider green infrastructure and social vulnerability when planning urban expansion and poverty alleviation in Indonesia.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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      custom: Copyright of Journal of Poverty is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use.
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