scholarly journals Malmquist Productivity Analysis of Top Global Automobile Manufacturers

Mathematics ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 580
Author(s):  
Chia-Nan Wang ◽  
Hector Tibo ◽  
Hong Anh Nguyen
Keyword(s):  
Organizational Performance ◽  
Automobile Industry ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
General Motors ◽  
Net Income ◽  
Productivity Analysis ◽  
Continuous Growth ◽  
Equity Cost ◽  
The Many

The automobile industry is one of the largest economies in the world, by revenue. Being one of the industries with higher employment output, this has become a major determinant of economic growth. In view of the declining automobile production after a period of continuous growth in the 2008 global auto crisis, the re-evaluation of automobile manufacturing is necessary. This study applies the Malmquist productivity index (MPI), one of the many models in the Data Envelopment Analysis (DEA), to analyze the performance of the world’s top 20 automakers over the period of 2015–2018. The researchers assessed the technical efficiency, technological progress, and the total factor productivity of global automobile manufacturers, using a variety of input and output variables which are considered to be essential financial indicators, such as total assets, shareholder’s equity, cost of revenue, operating expenses, revenue, and net income. The results show that the most productive automaker on average is Volkswagen, followed by Honda, BAIC, General Motors, and Suzuki. On the contrary, Mitsubishi and Tata Motors were the worst-performing automakers during the studied period. This study provides a general overview of the global automobile industry. This paper can be a valuable reference for car managers, policymakers, and investors, to aid their decision-making on automobile management, investment, and development. This research is also a contribution to organizational performance measurement, using the DEA Malmquist model.

scholarly journals Dual Efficiency and Productivity Analysis of Renewable Energy Alternatives of OECD Countries

2021 ◽  
Vol 13 (13) ◽  
pp. 7401
Author(s):  
Sedef E. Kara ◽  
Mustapha D. Ibrahim ◽  
Sahand Daneshvar
Keyword(s):  
Renewable Energy ◽  
Solar Energy ◽  
Wind Energy ◽  
Oecd Countries ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Scale Efficiency ◽  
Productivity Analysis ◽  
Average Efficiency ◽  
Efficiency And Productivity

This paper examines the dual efficiency of bioenergy, renewable hydro energy, solar energy, wind energy, and geothermal energy for selected OECD countries through an integrated model with energy, economic, environmental, and social dimensions. Two questions are explored: Which renewable energy alternative is more dual efficient and productive? Which renewable energy alternative is best for a particular country? Data envelopment analysis (DEA) is used for the efficiency evaluation, and the global Malmquist productivity index is applied for productivity analysis. Results indicate bioenergy as the most efficient renewable energy alternative with a 20% increase in average efficiency in 2016 compared to 2012. Renewable hydro energy, wind energy, and solar energy show a 17.5%, 16%, and 11% increase, respectively. The average efficiency growth across all renewable energy alternatives signifies major advancement. Country performance in renewable energy is non-monolithic; therefore, they should customize their renewable energy portfolio accordingly to their strengths to enhance renewable energy efficiency. Renewable hydro appears to have the most positive productivity change in 2016 compared to 2012, while solar energy regressed in productivity due to its scale inefficiency. All renewable energy alternatives have relatively equal average pure efficiency change. The positive trend in efficiency and productivity provides an incentive for policy makers to pursue further development of renewable energy technologies with a focus on improving scale efficiency.

scholarly journals PRODUCTIVITY ANALYSIS OF PUBLIC HOSPITALS IN CAMEROON: A MALMQUIST PRODUCTIVITY INDEX APPROACH.

2016 ◽  
Vol 4 (7) ◽  
pp. 1718-1725
Author(s):  
BeriParfaitB. (M.Sc.) ◽  
◽  
MolemC. Sama ◽  
OfehMosesAbit (Ph.D.) ◽  
◽  
...  
Keyword(s):  
Public Hospitals ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Productivity Analysis ◽  
Index Approach

Productivity Growth and Efficiency Measurements in Fuzzy Environments with an Application to Health Care

2012 ◽  
Vol 2 (2) ◽  
pp. 1-35 ◽  
Author(s):  
Adel Hatami-Marbini ◽  
Madjid Tavana ◽  
Ali Emrouznejad
Keyword(s):  
Health Care ◽  
Best Practice ◽  
The United States ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Productivity Analysis ◽  
Real World Data ◽  
Productivity Measurement ◽  
State Office ◽  
Mathematical Programming Method

Health care organizations must continuously improve their productivity to sustain long-term growth and profitability. Sustainable productivity performance is mostly assumed to be a natural outcome of successful health care management. Data envelopment analysis (DEA) is a popular mathematical programming method for comparing the inputs and outputs of a set of homogenous decision making units (DMUs) by evaluating their relative efficiency. The Malmquist productivity index (MPI) is widely used for productivity analysis by relying on constructing a best practice frontier and calculating the relative performance of a DMU for different time periods. The conventional DEA requires accurate and crisp data to calculate the MPI. However, the real-world data are often imprecise and vague. In this study, the authors propose a novel productivity measurement approach in fuzzy environments with MPI. An application of the proposed approach in health care is presented to demonstrate the simplicity and efficacy of the procedures and algorithms in a hospital efficiency study conducted for a State Office of Inspector General in the United States.

scholarly journals Analisis Produktivitas dan Faktor-Faktor yang Memengaruhi Efisiensi Asuransi Syariah di Indonesia: Suatu Kajian Empiris

Al-Muzara ah ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. 153-171
Author(s):  
Dede Iskandar ◽  
Noer Azam Achsani ◽  
Setiadi Djohar
Keyword(s):  
Market Share ◽  
Life Insurance ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Insurance Companies ◽  
Productivity Analysis ◽  
Productivity Level ◽  
General Insurance ◽  
Islamic Insurance ◽  
Efficiency And Productivity

Market share on Islamic Insurance is still very small compared to conventional insurance. Islamic insurance companies must be able to compete with conventional insurance in order to increase their market share. Efficiency and Productivity are factors that must be improved so that Islamic insurance can compete with conventional insurance. This study aims to analyze the level of efficiency and productivity of Islamic insurance during the 2016-2018 period. The study was conducted on 48 Islamic insurance companies consisting of 26 Islamic life insurance companies and 22 Islamic general insurance companies. Efficiency analysis use the Data Envelopment Analysis (DEA) approach and productivity analysis use the Malmquist Productivity Index (MPI). The novelty of this study, among others, involves Islamic general insurance in the productivity analysis which has not been studied so far. The results of the analysis shows that the majority of Islamic life insurance and Islamic general insurance are inefficient during the 2016-2018 period. The size of the company which represents the total assets is the factor that have a positive and significant effect on the efficiency value. The results of the productivity analysis shows that the productivity level of both sharia life insurance and general sharia insurance during the 2016-2018 period is influenced by technological change factors.

Impact of intellectual capital on productivity of insurance companies in Ghana

2019 ◽  
Vol 20 (6) ◽  
pp. 763-783 ◽  
Author(s):  
Godfred Kesse Oppong ◽  
Jamini Kanta Pattanayak ◽  
Mohd. Irfan
Keyword(s):  
Intellectual Capital ◽  
Value Added ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Insurance Companies ◽  
Method Of Moment ◽  
Productivity Analysis ◽  
Content Type ◽  
Dynamic Relationship ◽  
Final Sample

Purpose The purpose of this paper is to empirically investigate the effect of intellectual capital (IC) efficiency on changes in the productivity of insurance companies in Ghana. Design/methodology/approach Using a panel of 33 insurance companies from 2008 to 2016, the study applied Value Added Intellectual Coefficients model as a measure of IC efficiency, whilst Malmquist Productivity Index is employed to capture changes in the productivity of insurance companies. In estimating the effects of IC on productivity, System Generalised Method of Moment (GMM) is applied because of its power over endogeneity and heteroscedasticity. Findings Robust empirical findings on productivity analysis showed that improvements in insurer’s productivity were experienced in three year intervals out of the overall studied year. In addition, panel regression results revealed that IC along with human capital and capital employed significantly affect the productivity of insurance companies. Research limitations/implications The generalisability of the study findings could be questioned because it is limited to insurance firms operating in Ghana; some firms were omitted due to mergers and acquisition that reduced the final sample. Yet, the findings facilitate the validation of IC concept and, hence, informs manager/policy makers on IC utilisation as a source of competitive edge. Practical implications Having robust empirical findings, the study expands on the existing literature by unveiling the dynamic nature of IC relationship and productivity. The findings also serve as a benchmark for managers/policymakers in insurance companies to increase the operational efficiency by investing in IC, which will help guarantee improve returns on generated premiums. Originality/value Although a few studies have investigated the effect of IC in Ghana, this study is the first to examine the dynamic relationship between IC and changes in productivity in a Ghanaian context.

Productivity Analysis at Sharia Life Insurance Companies İn Indonesia: Malmquist Productivity Index (MPI)

2020 ◽  
Vol 11 (1) ◽  
pp. 119-119
Author(s):  
Puji Sucia Sukmaningrum ◽  
Achsania Hendratmi ◽  
Sylva Alif Rusmita ◽  
Mutiara Ramadhani Putri ◽  
Rosin Putra Gusti
Keyword(s):  
Life Insurance ◽  
Product Distribution ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Insurance Companies ◽  
Insurance Company ◽  
Productivity Analysis ◽  
Life Insurance Company ◽  
Productivity Level ◽  
Level Measurement

This research aims to analyse productivity levels of Sharia Life Insurance companies in Indonesia during 2014 to 2019. Sharia Life Insurance Company can improve its quality by evaluating the value of the productivity index. The productivity level measurement in this study uses the Malmquist Productivity Index (MPI) method. Samples used by as many as 10 sharia life insurance companies in Indonesia. The input variable used consists of equity, total expense and total investment, while the output variable consists of total profit and investment income. This study also uses output orientation and intermediation. The results in this study show that Indonesian sharia life insurance has an average productivity (TFPCH) of 0.945 which means it has not achieved optimal productivity. This is more due to the low value of technological change. The management of sharia life insurance companies in Indonesia can focus on innovating technology and product distribution to increase its productivity. The results of this study can be used as an evaluation material for sharia insurance companies in Indonesia in managing their resources and can see which parts should be improved in order to increase productivity levels. Keywords: Productivity; Malmquist Productivity Index; MPI; Sharia Life Insurance; Indonesia

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