Browsing by Author "Mariano, Enzo Barberio"

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    Brazilian states in the context of COVID-19 pandemic : an index proposition using network data envelopment analysis.
    (2021) Mariano, Enzo Barberio; Torres, Bruno G.; Almeida, Mariana Rodrigues de; Ferraz, Diogo; Rebelatto, Daisy Aparecida do Nascimento; Mello, João Carlos Soares de
    This study aims to evaluate comparatively the situation of the federal units and the Brazilian states in relation to the pandemic of new coronaviruses (COVID19) through the technique of Network Data Envelopment Analysis (Network DEA - NDEA). For the development of research, data were collected on the Ministry of Health website, for all regions that register cases of virus cases notified until April 27, 2020. The purpose of the analysis is to assess regional discrepancies in the country. The model consists of the following structure: three inputs (number of doctors, number of respirators and number of clinical beds), an intermediate variable (number of reported cases) and one output (number of deaths). The results indicated that the federative unit with the worst performance overall was Amazonas, while the worst capital was Manaus. With two-dimensional representation, managers can visualize better which locations have the worst performance and assess which locations require more assistance. Depending on the results, managers can develop regional action plans, which can take steps to prevent the collapse of the health system.
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    COVID health structure index : the vulnerability of Brazilian microregions.
    (2021) Ferraz, Diogo; Mariano, Enzo Barberio; Manzine, Patricia Regina; Moralles, Herick Fernando; Morceiro, Paulo César; Torres, Bruno Guimarães; Almeida, Mariana Rodrigues de; Mello, João Carlos Soares de; Rebelatto, Daisy Aparecida do Nascimento
    Many developing countries have highly unequal health systems across their regions. The pandemic of COVID-19 brought an additional challenge, as hospital structures equipped with doctors, intensive care units and respirators are not available to a sufcient extent in all regions. Using Data Envelopment Analysis, we create a COVID Index to verify whether the hospital structures in 543 Brazilian microregions are adequate to deal with COVID-19 and to verify whether public policies were implemented in the right direction. The results indicate that hospital structures in the poorest microregions were the most vulnerable, although the peak of COVID-19 occurred in the richest microregions (Sao Paulo). The Southeast states could relocate hospital resources or even patients between their regions. The relocation was not possible in many states in the Northeast, as the health system poorly assisted the interior of these states. These fndings reveal that the heterogeneity of microre- gions’ hospital structures follows the patterns of socioeconomic inequalities. We conclude that it is easier for the wealthier regions to reallocate hospital resources internally than for the poorest regions. By using the COVID Index, policymakers and hospital managers have straightforward information to decide which regions must receive new investments and reallocate underutilized resources.
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    Financial and trade globalization, greener technologies and energy transition.
    (2023) Mariano, Enzo Barberio; Ferraz, Diogo; Radulescu, Magdalena; Shahzadi, Irum
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    Linking economic complexity, diversification, and industrial policy with sustainable development : a structured literature review.
    (2021) Ferraz, Diogo; Falguera, Fernanda Pereira Sartori; Mariano, Enzo Barberio; Hartmann, Dominik
    Research on economic diversification and complexity has made significant advances in understanding economic development processes, but has only recently explored environmental and social sustainability considerations. In this article we evaluate the current state of this emerging literature and reveal 13 research gaps. A total of 35 different keywords and methods from structured literature reviews and network science helped to identify 374 scientific articles between 1988 and 2020 and revealed a fragmented research landscape around three larger network communities: (1) industrial policies, climate change, and green growth; (2) economic complexity and its association with inequality and environmental sustainability; and (3) economic diversification, including studies on livelihood diversification in poor areas. Economic complexity research applies new empirical methods and considers both social and environmental sustainability, but seldom scrutinizes theory and policy. Industrial policy research focuses on green growth policies but tends to omit social sustainability issues and advanced empirical methods. Research on economic diversification in poor regions provides insights on the livelihood diversification of farmers, but is disconnected from the economic complexity and industrial policy research. This review helps to summarize the main contributions and shows pathways for potential mutual learning between these communities for the sake of sustainable development.
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    Sustainable human development at the municipal level : a data envelopment analysis index.
    (2022) Lima, Pedro A. B.; Paião Júnior, Gilberto Dias; Santos, Thalita L.; Furlan, Marcelo; Battistelle, Rosane Aparecida Gomes; Silva, Gustavo H. R.; Ferraz, Diogo; Mariano, Enzo Barberio
    The development of indexes for human development and environmental sustainability issues are an emerging topic in the current literature. However, the literature has put less emphasis on municipal indexes, which is the focus of this research. In this paper, we considered municipal environmental management as the adoption of environmental activities and the development of infrastructural and technical capacities in municipalities. This article aims to create a sustainable human development index with municipal data from the state of São Paulo in Brazil. Using informa- tion from the Municipal Human Development Index (IDHm) and the GreenBlue Municipal Program (PMVA), we applied the data envelopment analysis (DEA) technique to connect human development and environmental sustainability in 645 Brazilian municipalities. Our findings show that regions with higher human development present better DEA scores on the Sustainable Human Development Index. In contrast, regions with a low or a middle level of human development do not present significant change considering both dimensions. Moreover, our findings reveal that PMVA certification has a different and statistically significant impact on the DEA score considering certified, qualified, or not qualified regions. We found similar results for urbanized and service-oriented municipalities. Our indicator is an essential and straightforward tool for regional policymakers, helping to allocate resources and to find human development and environmental sustainability benchmarks among developing regions.
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    The human development index with multiple data envelopment analysis approaches : a comparative evaluation using social network analysis.
    (2021) Mariano, Enzo Barberio; Ferraz, Diogo; Gobbo, Simone Cristina de Oliveira
    The objective of this work is to use multiple Data Envelopment Analysis (DEA)/Beneft of the Doubt (BoD) approaches for the readjustment and exploitation of the Human Develop- ment Index (HDI). The HDI is the leading indicator for the vision of “development as free- dom”; it is a Composite Index, wherein three dimensions (income, health, and education), represented by four indicators, are aggregated. The DEA-BoD approaches used in this work were: the traditional BoD; the Multiplicative BoD; the Slacks Based Measure (SBM) BoD; the Range Adjusted Model (RAM) BoD; weight restrictions; common weights; and tiebreaker methods. These approaches were applied to raw and normalized HDI data from 2018, to generate 40 diferent rankings for 189 countries. The resulting indexes were ana- lyzed and compared using Social Network Analysis (SNA) and information derived from DEA itself (slacks, relative contributions, targets, relative targets and benchmarks). This paper presents useful DEA derived indexes that could be replicated in other contexts. In addition, it contributes by presenting a clearer picture of the diferences between BoD models and ofering a new way to appreciate the world’s human development panorama.