Planck Barahona Urbina
Intellectual Capital and Performance Analysis Intellectual capital Structural capital Management science Public health policy Efficiency Analysis Using DEA Business, Education, Mathematics Research Organizational capital Economic efficiency Higher education policy Accounting Complementary and alternative medicine Education Management Science and Operations Research Strategy and Management

Bio

Dr. Planck Barahona Urbina is a distinguished academic and researcher affiliated with the Universidad de Atacama, Chile, where he serves in the Department of Industria y Negocios as a Doctor in Applied Economics since 2010. He holds a PhD in Applied Economics from the Universidad de Salamanca (2008) and an Industrial Engineering degree from the Universidad de Atacama (1998). His research spans health economics, economic development, and immigration, with notable works including 'Hospital Efficiency: An Application of Data Envelopment Analysis,' 'International Immigration in Chile: The Case of Venezuela,' and studies on childhood obesity and inequality. With 28 publications and over 105 citations, Dr. Barahona Urbina maintains an h-index of 4 and an i10-index of 1, reflecting his growing impact. He has actively contributed to academic communities as a member of ASEPELT, organizing Iberoamerican congresses, and serves as a reviewer for the Global Journal of Humanities and Social Sciences. His ORCID and OpenAlex profiles further document his scholarly contributions.

Educational Journey

Universidad de Salamanca

Doctor Econonomia Aplicada in Economia • Economia

2008

Universidad de Atacama

Ingeniero Civil Industrial in Industrial • Industrial

1998

Experience

Doctor Economía Aplicada

2010 - Present • Industria y Negocios

Editors Role

journal_reviewer

0 -

Affiliations

ASEPELT

Organizador congreso Iberoamericano

Member since 2017

Research

Hospital Efficiency: An Application of Data Envelopment Analysis

Article July 23, 2020

The objective of this work is to determine the Technical Efficiency for a set of Hospitals of the National Health System of Chile for the periods 2015 and 2016. The methodology to be used is the DEA-CCR data analysis and DEA-BCC Orientation Inputs. The inputs variables are the number of doctors, dentists, nutritionists, nurses, kinesiologists, midwives, medical technicians, paramedics, and number of beds. As Output hospital discharges. The results showed that, in the case of Model 1 DEA-CCR, the hospitals that improved their efficiency scores were Tarapacá (100), Coquimbo (91) and Araucanía (100). In the other Regions there has been a decrease in their efficiency scores. In the second phase of the study, a linear regression model was used to quantify the effect of the variable medical personnel and hospital discharges. The results found a positive and statistically significant effect of the medical staff variable on hospital discharges. In other words, with an increase of one percentage point in medical personnel, hospital discharges would increase by 36.1 percentage points. On the other hand, the same analysis did not find that an increase in the medical staff will improve efficiency rates.