A two-stage Data Envelopment Analysis model for investigating the efficiency of the public security in Mexico

Flégl, Martin; Gress, Eva Selene Hernández

doi:10.1016/j.dajour.2023.100181

Cited by 9 publications

(6 citation statements)

References 51 publications

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“…➢ in the study of the relationship between unemployment and the set of macroeconomic freedoms: economic freedom (95), foreign direct investment (47), economic growth (41), corruption (20), entrepreneurship (20), institutions (20), china (17), fdi (17), panel data (16), innovation (15), covid-19 (14), democracy ( 14), european union ( 14), financial freedom ( 14), monetary policy (14), trade (14), financial crisis (13), governance (12), institutional quality (12), africa (11);…”

Section: Literature Reviewmentioning

confidence: 99%

“…➢ in the study of the relationship between absence from work due to personal health problems and the set of macroeconomic freedoms: economic freedom (89), foreign direct investment (45), economic growth (39), entrepreneurship (20), institutions (19), china (17), corruption (17), panel data ( 16), fdi (15), innovation (15), financial freedom ( 14), monetary policy ( 14), trade (14), democracy (13), european union ( 13), financial crisis ( 13), institutional quality (12), africa (11), freedom (11), governance (11).…”

Section: Literature Reviewmentioning

confidence: 99%

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Determinants of Human Capital Development and Macroeconomic Freedoms: DEA Modelling

Yehorova,

Drozd

2024

BEL

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The purpose of the study is to identify countries with mechanisms to most effectively ensure that human capital losses do not become an obstacle to strengthening macroeconomic freedoms. The study is based on the hypothesis that a decrease in absence from work due to personal health problems, unemployment, and mortality leads to an increase in the level of six basic macroeconomic freedoms: business, labour, trade, investment, monetary, and financial freedoms. In this case, absence from work due to personal health problems, unemployment, and mortality serve as discouragers/inhibitors of human capital development, the growth of which reduces the chances of an employee obtaining the necessary knowledge and skills to effectively transform this employee’s labour into an economic asset. To generalise the scientific opinion on the studied issue, a bibliometric analysis of the relationship between each of these factors and the totality of all macroeconomic freedoms was carried out using the R Bibliometrix package in RStudio software. The basis of this analysis was formed by the databases of publications indexed by Scopus for 1937–2024, consisting of 1618, 1578, and 1517 literature sources for each factor-destimulator. This analysis allowed us to form clouds of the most used keywords and analyse the dynamics of their use, see how the relevant research areas and the keywords used have evolved, build a topic map of the research interface, etc. The information base of the study is the statistical data of Europa and the Heritage Foundation; the object is 30 European countries; the time horizon is 2021; the main method is the non-parametric method of Data Envelopment Analysis (CCR and BCC models); the software package is the rDEA and Benchmarking package in the R programming language. Frontier graphs were constructed that clearly show the efficiency frontier in the CCR and BCC orientations. Six iterations of DEA modelling were carried out, each using only one of the 6 indicators of macroeconomic freedom as an output and three indicators of human capital as inputs. The countries with the most effective national mechanisms to ensure that human capital losses do not become an obstacle to strengthening macroeconomic freedoms are Cyprus, Czech Republic, Iceland, Ireland, Malta, and Romania. These countries demonstrate “benchmark” efficiency in 6 cases out of 6 calculated. There is also a group of countries that have never been included in the list of “benchmark” countries: Austria, Belgium, Croatia, Estonia, France, Hungary, Greece, Italy, Lithuania, Latvia, Portugal, Serbia, Slovakia, and Spain. We have also identified countries that are “benchmark” not by all parameters, but only by certain ones: Bulgaria – only in terms of the impact of the studied human capital determinants on monetary freedom; Luxembourg – only on investment freedom and financial freedom; Poland – only on investment freedom.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Determinants of Human Capital Development and Macroeconomic Freedoms: DEA Modelling

Yehorova,

Drozd

2024

BEL

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“…By means of Charnes-Cooper's transformation in Eq. ( 5), the fractional programming optimization model above can be changed into the linear programming optimization model [26]. The transformed linear programming optimization model is as follows:…”

Section: Ccr Modelmentioning

confidence: 99%

Analysis of comprehensive operation efficiency of urban environmental sanitation in China

Wei

Zhao

2023

Preprint

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ABASTRACT With the development of China’s economy, the level of Urban Environmental Sanitation management has far-reaching impact on the ecological environment. The well comprehensive operation efficiency of urban environmental sanitation in China can help China achieve the goal of carbon peak and carbon neutralization. The study applied data envelopment analysis (DEA) and Malmquist productivity index (MPI) to explore the comprehensive operation efficiency of urban environmental sanitation in China. The statistical data of the 31 provinces over the period of 2017 to 2021 are gathered as inputs and outputs of the DEA model and MPI model. It finds out that the mean of comprehensive operation efficiency of urban environmental sanitation in each year during the research period was no DEA efficiency in general. The change trend of MPI from 2017 to 2021 was negative growth. According to MPI and its decomposition of China by nation, Technology Change (Techch) was the main driving factor of MPI growth. Comprehensive operation efficiency of urban environmental sanitation should be expanded and the technology innovation of Urban facilities in China needs to be promoted vigorously.

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“…For example, Avilés-Sacoto et al (2020) used DEA methodology to investigate the regional efficiency of innovation systems; Ferro and Romero (2021) constructed a DEA model to determine countries' efficiency in producing codified knowledge. Flegl and Hernández Gress (2023) applied DEA to evaluate the efficiency of public security in Mexico; Moghaddas et al (2022) assessed a resource allocation in a sustainable supply chain based on DEA modeling; Wu and Lin (2022) applied a DEA model to measure the performance of cultural tourism of several Asian tourist destinations. The value of the DEA methodology is its capability to evaluate the individual efficiency or performance of a Decision-Making Unit (DMU) within a set of homogeneous DMUs operating in a specific application domain (Liu et al, 2013).…”

Section: Non-parametric Efficiency Evaluationsmentioning

confidence: 99%

A State-Level Analysis of Mexican Education and Its Impact on Regional, Economic, and Social Development: Two-Stage Network DEA Approach

Flegl,

Avilés-Sacoto,

Güemes-Castorena

et al. 2023

ERIES Journal

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Education has been considered a cornerstone for human and economic development. Although there is a national educational strategy in most countries, various implementations are at the state level. This paper studies academic efficiency at the primary and secondary levels and the human development dimensions –long and healthy life, being knowledgeable, and enjoying a decent standard of life– at the state level. For this purpose, a network data envelopment analysis (NDEA) with two stages was proposed. The first stage studies the educational process efficiency, while the second evaluates its impact in the form of the human development index. The study found significant differences between the evaluated states in the education stage, where the lowest efficiencies are mainly in the southwest of Mexico. The results also indicate that better education quality leads to greater regional, economic, and social development at the state level. This study contributes to the NDEA applications on the understanding of the impact that education has in improving the development of the regions holistically.

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A two-stage Data Envelopment Analysis model for investigating the efficiency of the public security in Mexico

Cited by 9 publications

References 51 publications

Determinants of Human Capital Development and Macroeconomic Freedoms: DEA Modelling

Determinants of Human Capital Development and Macroeconomic Freedoms: DEA Modelling

Analysis of comprehensive operation efficiency of urban environmental sanitation in China

A State-Level Analysis of Mexican Education and Its Impact on Regional, Economic, and Social Development: Two-Stage Network DEA Approach

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