The Comparison Between Different Hospital Market Definition Approaches: An Empirical Analysis of 11 Representative Diseases in Sichuan Province, China

Objective: This study aims to provide empirical evidence for the controversy about whether the inference is consistent if alternative hospital market definition methods are employed, and for which definition method is the best alternative to the predicted patient flow approach.Data sources: Collecting data from the discharge data of inpatients and hospital administrative data of Sichuan province in China in the fourth quarter of 2018.Study Design: We employed Herfindahl–Hirschman Index (HHI) as the proxy of market competition used as an example to measure the hospital market structure. Correlation coefficients of HHIs based on different definition methods were assessed. The corresponding coefficient of each HHI estimated in identical regression models was then compared. In addition, since the predicted patient flow method has been argued by the literature of its advantages compared with the previous approaches, we took the predicted patient flow as a reference to compare with the other approaches.Data Extraction Methods: We selected the common diseases with a significant burden, and 11 diseases were included (902,767 hospitalizations).Principal Findings: The correlation coefficients of HHIs based on different market definition methods are all significantly greater than 0, and the coefficients of HHIs are different in identical regression models. Taking the predicted patient flow approach as a reference, we found that the correlation coefficients between HHIs based on fixed radius and predicted patient flow approach is larger than others, and their parameter estimates are all consistent.Conclusion: Although the HHIs based on different definition methods are significantly and positively correlated, the inferences about the effectiveness of market structure would be inconsistent when alternative market definition methods are employed. The fixed radius would be the best alternative when researchers want to use the predicted patient flow method to define the hospital market but are hindered by the data limitations and computational complexity.

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Market concentration trends in South Africa’s private healthcare sector

South African Journal of Economic and Management Sciences ◽

10.4102/sajems.v19i1.1219 ◽

2016 ◽

Vol 19 (1) ◽

pp. 53-63 ◽

Cited By ~ 2

Author(s):

Marine Erasmus ◽

Nicola Theron

Keyword(s):

Market Structure ◽

Private Hospital ◽

Market Concentration ◽

Competitive Dynamics ◽

Healthcare Sector ◽

Private Hospitals ◽

Hospital Market ◽

Private Healthcare ◽

Structure Changes ◽

Relative Bargaining Power

The Competition Commission (CC) commenced with an enquiry into South Africa’s private healthcare sector at the beginning of 2014, the outcome of which could have far-reaching consequences for the medical industry in South Africa. The panel appointed to consider competition in the private healthcare sector has indicated that they are interested in understanding increased consolidation in the private hospital market and the effect this may have on competitive dynamics. This article considers historical concentration trends in the private hospital market from 2000 to 2012. In addition it also deals with changes in market structure in the medical scheme and administrator markets. These trends provide a complete picture of market structure changes and the implications for relative bargaining power of the various parties. It finds that whereas the market concentration of private hospitals has remained relatively stable since 2004, the market concentration of medical schemes and administrators has increased over this period.

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Enzyme optimization to reduce the viscosity of pitanga (Eugenia uniflora L.) juice

BRAZILIAN JOURNAL OF FOOD TECHNOLOGY ◽

10.1590/1981-6723.4115 ◽

2016 ◽

Vol 19 (0) ◽

Cited By ~ 3

Author(s):

Ricardo Schmitz Ongaratto ◽

Luiz Antonio Viotto

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Incubation Time ◽

Regression Models ◽

Incubation Temperature ◽

Correlation Coefficients ◽

Enzyme Concentration ◽

Optimum Conditions ◽

Activity Time ◽

Independent Variables

Summary The aim of this work was to separately evaluate the effects of pectinase and cellulase on the viscosity of pitanga juice, and determine the optimum conditions for their use employing response surface methodology. The independent variables were pectinase concentration (0-2.0 mg.g–1) and cellulase concentration (0-1.0 mg.g–1), activity time (10-110 min) and incubation temperature (23.2-56.8 °C). The use of pectinase and cellulase reduced the viscosity by about 15% and 25%, respectively. The results showed that enzyme concentration was the most important factor followed by activity time, and for the application of cellulase the incubation temperature had a significant effect too. The regression models showed correlation coefficients (R2) near to 0.90. The pectinase application conditions that led to the lowest viscosity were: concentration of 1.7 mg.g–1, incubation temperature of 37.6 °C and incubation time of 80 minutes, while for cellulase the values were: concentration of 1.0 mg.g-1, temperature range of 25 °C to 35 °C and incubation time of 110 minutes.

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A multi-sided market of personal data resource allocation: An empirical study of China’s car-hailing platform

Competition and Regulation in Network Industries ◽

10.1177/17835917211051223 ◽

2021 ◽

pp. 178359172110512

Author(s):

Lei Huang ◽

Miltos Ladikas ◽

Guangxi He ◽

Julia Hahn ◽

Jens Schippl

Keyword(s):

Resource Allocation ◽

Market Structure ◽

Market Competition ◽

Rapid Development ◽

Personal Data ◽

Application Programming Interface ◽

Allocation Mechanism ◽

Allocation Model ◽

Data Resource ◽

Technology And Economy

The current rapid development of online car-hailing services creates a serious challenge to the existing paradigm of market governance and antitrust policy. However, the debate on the market structure of the car-hailing platform requires more empirical evidence to uncover its functions. This research adopts an interdisciplinary methodology based on computer science and economics, and including software reverse engineering tools applied to the interoperability of the terminal application and resource allocation model, to demonstrate the topological market structure of personal data resources allocation in China’s car-hailing industry. Within the discussion of the hybrid nature of technology and economy, the analysis results clearly show that China’s car-hailing platform services present a multi-sided market structure when seen from the perspective of personal data resource allocation. Personal data resource (PDR), that is considered an essential market resource, is applied as an asset transferred unhindered between platforms via the application programming interface, and thus, creating a new market allocation mechanism. The connection between the car-hailing platforms and social media platforms is an essential aspect of the market competition in the domain. As applications of online platforms increase in the global context, this research offers a new perspective in personal data resource allocation with implications for the governance of the platform economy.

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The Effect of Hospital Market Competition on the Adoption of Transcatheter Aortic Valve Replacement

The Annals of Thoracic Surgery ◽

10.1016/j.athoracsur.2019.06.025 ◽

2020 ◽

Vol 109 (2) ◽

pp. 473-479 ◽

Cited By ~ 2

Author(s):

Raymond J. Strobel ◽

Donald S. Likosky ◽

Alexander A. Brescia ◽

Karen M. Kim ◽

Xiaoting Wu ◽

...

Keyword(s):

Aortic Valve ◽

Aortic Valve Replacement ◽

Valve Replacement ◽

Transcatheter Aortic Valve Replacement ◽

Market Competition ◽

Hospital Market ◽

Transcatheter Aortic Valve

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Hospital Market Structure and the Behavior of Not-for-Profit Hospitals: Evidence from Responses to California's Disproportionate Share Program

10.3386/w7966 ◽

2000 ◽

Cited By ~ 2

Author(s):

Mark Duggan

Keyword(s):

Market Structure ◽

Hospital Market ◽

For Profit ◽

Not For Profit

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The Association between Traditional Chinese Dietary and Herbal Therapies and Uterine Involution in Postpartum Women

Evidence-based Complementary and Alternative Medicine ◽

10.1155/2011/918291 ◽

2011 ◽

Vol 2011 ◽

pp. 1-9 ◽

Cited By ~ 11

Author(s):

Ming Ho ◽

Tsai-Chung Li ◽

Shan-Yu Su

Keyword(s):

Regression Models ◽

Uterine Contraction ◽

Herbal Medicines ◽

Correlation Coefficients ◽

Postpartum Women ◽

Herbal Therapy ◽

Uterine Involution ◽

Herbal Therapies ◽

Special Diets ◽

Retrospective Questionnaire

Background. Traditional Chinese postpartum care is believed to help in the recovery of women after delivery.Objective. This study investigated the association of elements in dietary and herbal therapy with uterine involution.Methods. Indices of uterine involution were measured ultrasonographically in 127 postpartum women between 4-6 weeks after delivery. A self-reported retrospective questionnaire was used to query women about their frequencies of taking herbal medicines and consuming special diets during the first month after delivery. Correlation coefficients were calculated to identify the associations, then the regression models were used to identify the predictors.Result. Among the herbal medicines and diet, consumption ofEucommia ulmoides(E. ulmoides) negatively correlated with the AP diameter of the uterus and the cavity.E. ulmoideswas also the only predictor of maximum AP diameter of the uterus, AP diameter of the uterus 5 cm from the fundus, and the maximum AP diameter of the cavity. Moreover, consumption of Sheng-hau-tang was significantly correlated with anteverted uterus and was a predictor of anteverted uterus.Conclusion.E. ulmoidesand Sheng-hau-tang positively correlated with the degree of uterine involution after delivery, implying that both therapies might possess the pharmacological efficacy of uterine contraction in postpartum women.

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Indoor and outdoor environmental determinants on the perceived housing affordability for senior households

Indoor and Built Environment ◽

10.1177/1420326x18765058 ◽

2018 ◽

Vol 29 (3) ◽

pp. 331-342 ◽

Cited By ~ 1

Author(s):

Suk-Kyung Kim ◽

Jaechoon Lee

Keyword(s):

United States ◽

Regression Models ◽

Correlation Coefficients ◽

The United States ◽

Housing Affordability ◽

Descriptive Statistics ◽

Environmental Determinants ◽

Relevant Research ◽

Ageing In Place ◽

Indoor And Outdoor

The primary purpose of this research is to determine influential indoor and outdoor environmental elements that affect senior households’ perceptions of housing affordability. This paper proposes major considerations for indoor and outdoor environmental elements which could make homes for senior households to be affordable and thus support their ageing in place. Our research adopted an empirical approach based on a survey. Relevant research was reviewed to identify potential indoor and outdoor environmental elements that could affect senior residents’ opinions about housing affordability. Sixteen indoor and outdoor environmental elements were selected. The survey targeted senior residents living in the central Michigan area in the United States. The results of this paper were based on descriptive statistics, mean difference tests, correlation coefficients and regression models to explain the relationships between indoor and outdoor environmental elements and senior residents’ perceptions of their housing affordability. Major findings proved statistically significant correlations between interior environmental elements and senior households’ perceived housing affordability. Most housing programmes and policies for housing affordability have focused on financial elements. Findings from this research, however, added several indoor and neighbourhood environmental elements for consideration to improve senior households’ perceived housing affordability and support their ageing in place.

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A Field Too Crowded? How Measures of Market Structure Shape Nonprofit Fiscal Health

Nonprofit and Voluntary Sector Quarterly ◽

10.1177/0899764018760398 ◽

2018 ◽

Vol 47 (3) ◽

pp. 453-473 ◽

Cited By ~ 8

Author(s):

Laurie E. Paarlberg ◽

Seung-Ho An ◽

Rebecca Nesbit ◽

Robert K. Christensen ◽

Justin Bullock

Keyword(s):

Market Structure ◽

Nonprofit Organizations ◽

Market Competition ◽

Nonprofit Sector ◽

Curvilinear Relationship ◽

Fiscal Health ◽

Negative Effect ◽

Positive Effect ◽

Sector Data

This article explores how various dimensions of market structure, often used to measure organizational crowding, affect the fiscal health of nonprofit organizations. Using 2011 National Center for Charitable Statistics (NCCS) nonprofit sector data, our findings generally support population ecology’s model of a curvilinear relationship between density and days of spending. However, we also find that single dimensions of market structure do not fully capture the effects of market competition. Increasing density has a negative effect on the fiscal health of organizations in markets in which resources are more evenly distributed among actors, whereas increasing density of organizations has a positive effect on organizational fiscal health in markets in which resources are less evenly distributed among actors. These results are sensitive to different specifications of fiscal health and field of nonprofit activity.

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