scholarly journals Application of Mathematical Models to Assess the Impact of the COVID-19 Pandemic on Logistics Businesses and Recovery Solutions for Sustainable Development

Mathematics ◽  
2021 ◽  
Vol 9 (16) ◽  
pp. 1977
Author(s):  
Han Khanh Nguyen
Keyword(s):  
Service Sector ◽  
Strategic Alliance ◽  
Global Supply Chain ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Logistics Industry ◽  
Grey Forecasting ◽  
Logistics Enterprises ◽  
Alliance Partners ◽  
The Impact

The logistics industry can be considered as the economic lifeline of each country because of its role in connecting production and business activities of enterprises and promoting socio-economic development between regions and countries. However, the COVID-19 pandemic, which began at the end of 2019, has seriously affected the global supply chain, causing heavy impacts on the logistics service sector. In this study, the authors used the Malmquist productivity index to assess the impact of the pandemic on logistics businesses in Vietnam. Moreover, the authors used a super-slack-based model to find strategic alliance partners for enterprises. The authors also used the Grey forecasting model to forecast the business situation for enterprises during the period 2021–2024, in order to provide the leaders of these enterprises with a complete picture of their partners as a solid basis for making decisions to implement alliances that will help logistics enterprises in Vietnam to develop sustainably. The results have found that the alliance between LO7 and LO10 is the most optimal, as this alliance can exploit freight in the opposite direction and reduce logistics costs, creating better competitiveness for businesses.

Total Factor Productivity and Convergence of Port Logistics with Tianjin Port

2014 ◽  
Vol 998-999 ◽  
pp. 1653-1656
Author(s):  
Li Ping Wang ◽  
Meng Meng Yin ◽  
Bi Xi Dong
Keyword(s):  
Total Factor Productivity ◽  
Structural Changes ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Factor Productivity ◽  
Logistics Industry ◽  
Tfp Growth ◽  
Port Logistics ◽  
The Impact ◽  
Productivity And Competitiveness

Port logistics productivity reflects the productivity and competitiveness of a country or region port logistics industry. The research took Malmquist Productivity Index as a method, and explored the reasons of Tianjin Port Logistics TFP changes by analyzing the TFP growth trends and its structural changes during 2002 to 2011. The results showed that the overall productivity is growing, especially in the period 2009-2010 that is increased by 27.4%. However, changes of productivity had some volatility, primarily due to the impact of technological change.

Impact of merger on efficiency and productivity : a case study of commercial banks in Malaysia

1970 ◽  
Vol 5 (1) ◽  
pp. 77
Author(s):  
Mahadzir Ismail ◽  
Saliza Sulaiman ◽  
Hasni Abdul Rahim ◽  
Nordiana Nordin
Keyword(s):  
Efficiency Score ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Data Envelopment ◽  
Master Plan ◽  
Before And After ◽  
Domestic Banks ◽  
The Impact ◽  
Efficiency And Productivity

The Financial Master Plan (2001- 2010) aims to enhance the capacity of banking industry so that higher effic iency and productivity can be reaped in the future. This study seeks to determine the impact of merger on the efficiency and productivity ofcommercial banks in Malaysia for the period 1995 until 2005. The study uses a non-parametric approach, nam ely DEA (data envelopment analysis?) to estimate the efficiency scores and to construct the Malmquist productivity index. To enable this estimation, three bank inputs and outputs are used. Amongst the findings are those banks exhibit higher efficiency score after the merger and thefo reign banks are more efficient than the local banks. Productivity of the banks is calculated in both periods, before and after the merger: The results show that, it is the local banks that have improved the most after the merger. The main source of productivity is technical change or innovation. The findings support the existing policy of having larger domestic banks in term of size.

scholarly journals MEASURING EFFICIENCY CHANGE IN TIME APPLYING MALMQUIST PRODUCTIVITY INDEX: A CASE OF DISTRIBUTION CENTRES IN SERBIA

2021 ◽  
Vol 19 (3) ◽  
pp. 499
Author(s):  
Milan Andrejić ◽  
Milorad Kilibarda ◽  
Vukašin Pajić
Keyword(s):  
Decision Making ◽  
Environmental Changes ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Decision Making Process ◽  
Distribution Centers ◽  
Efficiency Change ◽  
Selection Of Variables ◽  
Measuring Efficiency ◽  
The Impact

In the last decade, more and more attention has been paid to the efficiency of logistics systems not only in the literature but also in practice. The reason is the huge savings that can be achieved. In a very dynamic market with environmental changes distribution centers have to realize their activities and processes in an efficient way. Distribution centers connect producers with other participants in the supply chain, including end-users. The main objective of this paper is to develop a DEA model for measuring distribution centers’ efficiency change in time. The paper investigates the impact of input and output variables selection on the resulting efficiency in the context of measuring the change in efficiency over time. The selection of variables on the one hand is a basic step in applying the DEA method. On the other hand, the number of basic and derived indicators that are monitored in real systems is increasing, while the percentage of those used in the decision-making process is decreasing (less than 20%). The developed model was tested on the example of a retail chain operating in Serbia. The main factors changing the efficiency have been identified, as well as the corresponding corrective actions. For measuring efficiency change in time Malmquist productivity index is used. The developed approach could help managers in the decision-making process and also represents a good basis for further research.

scholarly journals Cost Efficiency and Total Factor Productivity: An Empirical Analysis of Pakistan’s Insurance Sector

2016 ◽  
Vol 21 (1) ◽  
pp. 123-150
Author(s):  
Uzma Noreen ◽  
Shabbir Ahmad
Keyword(s):  
Total Factor Productivity ◽  
Malmquist Index ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Innovative Technology ◽  
Average Score ◽  
Factor Productivity ◽  
Tobit Regression ◽  
Insurance Sector ◽  
The Impact

This study uses data envelopment analysis and the Malmquist index to examine the impact of financial sector reforms on the efficiency and productivity of Pakistan’s insurance sector over the period 2000–09. Our results indicate that the sector is cost-inefficient, with an average score of 58 percent – an outcome of the inappropriate use of inputs. The Malmquist productivity index performs better, indicating an improvement in total factor productivity of about 3 percent on average. The second-stage Tobit regression analysis shows that large firms are relatively inefficient from an allocative perspective as they are unable to equate the marginal product of inputs with their factor prices. Furthermore, the results demonstrate that private firms are more efficient than public firms in the nonlife insurance sector. The empirical findings suggest that a more competitive environment, diversified products and innovative technology could improve the productivity of insurance firms in Pakistan.

scholarly journals The Impact of International Trade on Central Bank Efficiency: An Application of DEA and Tobit Regression Analysis

2021 ◽  
Vol 9 (1) ◽  
pp. 223-240
Author(s):  
Qaiser Farooq Dar ◽  
Young-Hyo Ahn ◽  
Gulbadin Farooq Dar
Keyword(s):  
Regression Analysis ◽  
International Trade ◽  
Central Bank ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Productivity Change ◽  
Tobit Regression ◽  
Bank Efficiency ◽  
Tobit Regression Analysis ◽  
The Impact

The purpose of this study is to introduce a novel methodology to measure the central bank efficiency. The data envelopment analysis (DEA) applies in the combination of three input and two output variables characterizing the economic balance in international trade.  Super-efficiency DEA model is applied for ranking & comparing the efficiency of different central banks. In contrast, the Malmquist productivity index (MPI) is used to measure the productivity change over the period of time. Further, the study is extended to quantify the impact of international trade dimension on the efficiency of the central bank by using Tobit regression analysis. Finally, based on our data analysis, we reported that the efficiency changes over the period of time and the total productivity changes significantly due to the technology shift as compared to efficiency change. Additionally, it is also observed that the central bank efficiency is impacted dramatically by the export level of the country as compared to import level, average exchange rate and GDP. It implies that the export level of the country significantly influences the performances of the central bank.

The Relationship between Intellectual Capital and Banks' Productivity in Pakistan

2021 ◽  
pp. 158-169
Author(s):  
Muhammad Asim Afridi ◽  
Imran Khan ◽  
Muddassar Khan
Keyword(s):  
Human Capital ◽  
Intellectual Capital ◽  
Productivity Growth ◽  
Banking Sector ◽  
Value Added ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Structural Capital ◽  
Capital Efficiency ◽  
The Impact

The performance of banks has been widely researched using accounting ratios, Tobin�s Q and market returns and less emphasis has been given to productivity measures. The productivity growth of banks is captured through Malmquist Productivity Index (MPI). The study then investigates the impact of intellectual capital on the productivity of banks in Pakistan. Value-added The intellectual Coefficient (VAIC) approach is employed to examine the intellectual capital of banks. Data is obtained from annual reports of 20 banks listed on the Pakistan Stock Exchange for 10 years (2007-2016). The panel corrected standard error approach is used for estimating the panel regression model. The findings provide evidence that the VAIC, human capital efficiency (HCE) and structural capital efficiency (SCE) has a positive impact on productivity growth (MPI). On the other hand, capital employed efficiency (CEE) has no significant impact on productivity growth. The VAIC approach may be useful for the banks and policymakers in a knowledge economy to integrate the intellectual capital in the decision-making process. Our results also suggest that banks in Pakistan shall increase spending on intellectual capital particularly on human capital and structural capital to elevate the intellectual capital of banks and subsequently get benefits in terms of increased productivity Keywords: Intellectual capital; Value added intellectual coefficient (VAIC); Malmquist productivity Index; Pakistan banking sector

scholarly journals UNDERSTANDING VARIATIONS IN RELATIVE EFFECTIVENESS: A HEALTH PRODUCTION APPROACH

2015 ◽  
Vol 31 (6) ◽  
pp. 363-370 ◽  
Author(s):  
Adrian Towse ◽  
Bengt Jonsson ◽  
Clare McGrath ◽  
Anne Mason ◽  
Ruth Puig-Peiro ◽  
...  
Keyword(s):  
Production Function ◽  
Relative Effectiveness ◽  
Healthcare Systems ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Health Production ◽  
Frontier Analysis ◽  
Health Technologies ◽  
Sources Of Variation ◽  
The Impact

Background: Relative effectiveness has become a key concern of health policy. In Europe, this is because of the need for early information to guide reimbursement and funding decisions about new medical technologies. However, ways that effectiveness (does it work?) and efficacy (can it work?) might differ across health systems are poorly understood.Methods: This study proposes an analytical framework, drawing on production function theory, to systematically identify and quantify the determinants of relative effectiveness and sources of variation between populations and healthcare systems. We consider how methods such as stochastic frontier analysis and data envelopment analysis using a Malmquist productivity index could in principle be used to generate evidence on, and improve understanding about, the sources of variation in relative effectiveness between countries and over time.Results: Better evidence on factors driving relative effectiveness could: inform decisions on how to best use a new technology to maximum effectiveness; establish the need if any for follow-up post-launch studies, and provide evidence of the impact of new health technologies on outcomes in different healthcare systems.Conclusions: The health production function approach for assessment of relative effectiveness is complementary to traditional experimental and observational studies, focusing on identifying, collecting, and analyzing data at the national level, enabling comparisons to take place. There is a strong case for exploring the use of this approach to better understand the impact of new medicines and devices for improvements in health outcomes.

scholarly journals Production efficiency and change characteristics of China’s apple industry in terms of planting scale

PLoS ONE ◽  
2021 ◽  
Vol 16 (7) ◽  
pp. e0254820
Author(s):  
Yu Sun ◽  
Yonghua Lu ◽  
Zichun Wang ◽  
Mingyue Li
Keyword(s):  
Large Scale ◽  
Production Efficiency ◽  
Industrial Structure ◽  
Arable Land ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Local Conditions ◽  
Apple Industry ◽  
Apple Production ◽  
The Impact

The global population is rapidly increasing, the arable land area is losing in a large scale, and the water supply capacity is limited. Meanwhile, China is in a critical period of the transformation of apple industrial structure, and the improvement of apple production efficiency is an important way to increase farmers’ output and income, moderate-scale operation is the inevitable trend in agricultural modernization. However, few studies have explored the production efficiency of the apple industry from the perspective of planting scale. In China, there are seven major apple-producing provinces: Shaanxi, Shandong, Gansu, Henan, Shanxi, Hebei, and Liaoning. Therefore, based on provincial panel data of the seven main apple-producing areas in China, this study used the Malmquist productivity index and data envelopment analysis to measure the efficiency level of the apple industry. At the same time, the threshold regression model was used to analyze the characteristics of the change in apple planting scale and production efficiency. The results showed that apple production efficiency in different regions of China exhibited regional differences and time series fluctuations. Apple planting scale had a "double" threshold effect, and the impact on apple production efficiency showed a "negative effect–positive effect" trend. Therefore, the suggestion is to appropriately adjust the scale of operation, take measures according to local conditions, promote the upgrading of apple production technology, and realize the integration of apple production and sales by using “Internet +.”

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