Sustainable Human Development at the Municipal Level: A Data Envelopment Analysis Index

Lima, Pedro Augusto Bertucci; Júnior, Gilberto D. Paião; Santos, Thalita Lacerda dos; Furlan, Marcelo; Battistelle, Rosane Aparecida Gomes; Silva, Gustavo Henrique Ribeiro da; Ferraz, Diogo; Mariano, Enzo Barbério

doi:10.3390/infrastructures7020012

Cited by 6 publications

(1 citation statement)

References 51 publications

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“…Furthermore, the finding is an alternative to the means in increasing HDI based on fiscal capacity (Khusaini, 2020;Rizki & Saputra, 2018), political will (Amaluddin et al, 2018), and public services in the health sector (Candradewini & Nirmalasari, 2018). This study emphasizes the importance of the perspective on the methods of achieving development goals rather than the content of development such as human development (Lind, 2019;Scherbov & Gietel-Basten, 2020), infrastructure development (Castro, Taleires, & Silveira, 2021), sustainable environment (Jin et al, 2020;Lai & Chen, 2020;Lima et al, 2022;Tjolli et al, 2021), information and communication technology (N. H. Khan et al, 2019;Zhang & Danish, 2019), globalization (Asadi & Marin, 2019), economic development (Bhowmik, 2018;Kinnunen et al, 2019), and democracy (Gruczyn ska, 2018; Kinnunen et al, 2019).…”

Section: Resultsmentioning

confidence: 99%

Key Success in Fostering Human Development Index at the Local Level

Muluk

Wahyudi

2022

otoritas

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Human Development Index (HDI) determines human prosperity in different countries using value assets. In general, the primary measurement includes the three basic indices, namely education, health, and a decent standard of living. HDI is a measure of development and governance success in terms of economic growth and human development. Generally, studies on HDI take place at the national and regional levels, and comparisons of its achievements between countries, while those at the municipal level are limited. Studies on the determinants of the success of increasing HDI tend to focus on local governments' fiscal capacity and political will and rarely touch the capacity of public administration in managing government, specifically in the development planning stage. This study examined the increased success of the Malang City's HDI by adopting a logical framework (log-frame) analysis with secondary data from the Malang bureau of statistics. The results showed an 80.89 increase in HDI from 2014 to 2018, including the education and health indexes, with a decent standard of living. The increased success is shown by the Regional Medium Term Development Plan (RPJMD), including basic education development program, regional public hospital service programs, and food security program for education, health, and purchasing power indices. Therefore, the local government needs to maintain and enhance the HDI in both medium- and long-term plans. The novelty of this study lies in the use of a logical framework in preparing regional development plans that support efforts to increase HDI consistently in the medium term. This reinforces the need to strengthen the perspective of how to achieve development goals compared to other studies that focus more on the perspective of the substance of development.

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Section: Resultsmentioning

confidence: 99%

Key Success in Fostering Human Development Index at the Local Level

Muluk

Wahyudi

2022

otoritas

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Proposing a composite index and maturity model for urban sustainability in the Brazilian context: A machine learning and data envelopment analysis approach

Furlan,

Lima,

Paião Junior

et al. 2024

Sustainable Development

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Despite efforts towards the accomplishment of the UN 2030 Agenda, the challenges of burgeoning populations, income inequality, difficulty in accessing basic services, among others, remain in several cities around the world. New approaches to measure and assess the sustainability of cities can support the development of actions to improve the different dimensions of sustainability. The research aims to propose an urban sustainability index and a maturity model to evaluate the sustainability of cities and monitor it over time. To achieve this objective, a maturity model was developed based on three different techniques: Data Envelopment Analysis, Artificial Neural Networks, and Analysis of Variance. The proposed index and the maturity model were applied to evaluate a sample of 504 Brazilian cities. The main results observed are: (a) the presence of five distinct levels of city performance (maturity), grouped via machine learning and validated via inferential statistics; (b) no city was considered fully sustainable and only 4.76% of the cities studies are at the highest level of urban sustainability maturity; (c) from a joint application of the three quantitative techniques and specific targets for each indicator could be identified, and the performance of cities classified over time. Based on the results, it is hoped that policy makers will have more objective and standardized tools to collect useful information and be able to reinforce critical strategies or chart new policies towards sustainable urban development. It is also hoped that the joint application of the techniques can shed light on new urban sustainability assessment models.

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Understanding the Efficiency in Generating Human Development in Sub-Saharan Africa: A Two-Stage Network DEA Approach

Chen,

Li,

et al. 2023

Soc Indic Res

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Sustainable Human Development at the Municipal Level: A Data Envelopment Analysis Index

Cited by 6 publications

References 51 publications

Key Success in Fostering Human Development Index at the Local Level

Key Success in Fostering Human Development Index at the Local Level

Proposing a composite index and maturity model for urban sustainability in the Brazilian context: A machine learning and data envelopment analysis approach

Understanding the Efficiency in Generating Human Development in Sub-Saharan Africa: A Two-Stage Network DEA Approach

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