Cheng-Feng Wu

ORCID: 0000-0003-0137-8542
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Research Areas
  • Supply Chain and Inventory Management
  • Energy, Environment, Economic Growth
  • Sustainable Supply Chain Management
  • Market Dynamics and Volatility
  • Working Capital and Financial Performance
  • Global Health Care Issues
  • Energy, Environment, and Transportation Policies
  • Diverse Aspects of Tourism Research
  • Air Quality and Health Impacts
  • Patient Safety and Medication Errors
  • Occupational Health and Safety Research
  • Scheduling and Optimization Algorithms
  • Fiscal Policy and Economic Growth
  • Stock Market Forecasting Methods
  • Environmental Impact and Sustainability
  • Imbalanced Data Classification Techniques
  • Housing Market and Economics
  • Complex Systems and Time Series Analysis
  • Financial Distress and Bankruptcy Prediction
  • Medical Malpractice and Liability Issues
  • UAV Applications and Optimization
  • Vehicular Ad Hoc Networks (VANETs)
  • Neural Networks and Applications
  • Distributed Control Multi-Agent Systems
  • Video Surveillance and Tracking Methods

National Taipei University
2023-2024

Qingdao University of Science and Technology
2015-2023

Wuchang University of Technology
2020-2023

Hubei University Of Economics
2017-2023

Second Affiliated Hospital of Nanchang University
2023

Nanchang University
2023

Hubei University
2021-2022

Murata (Finland)
2022

Cytoskeleton (United States)
2022

National Kaohsiung University of Science and Technology
2019

Using annual time-series data over the period 1975-2017, researcher applied bootstrap autoregressive-distributed lag (ARDL) cointegration model developed by McNown et al. (1) to examine whether there is a long run relationship among health expenditure, CO2 emissions, and gross domestic product (GDP) per capita in 18 Organization for Economic Cooperation Development (OECD) countries. We find exists Netherlands when real GDP serves as dependent variable, New Zealand expenditure United States...

10.3389/fpubh.2019.00324 article EN cc-by Frontiers in Public Health 2019-11-19

Alongside sustainable development as a major global aim, the contribution made by globalization to environmental issues has become crucial in recent decades. Prior studies have focused on how trade influences environment. However, multiple economic, social, and political factors are also important, integration of which needs be considered development. Sharp smooth breaks time series models consequence real-world structures. Using bootstrap autoregressive-distributed lag test with Fourier...

10.3389/fpubh.2022.907403 article EN cc-by Frontiers in Public Health 2022-09-08

This paper analyzes the co-movement and causal linkages between environmental pollution healthcare expenditure, taking economic growth as a control variable by using wavelet analysis for Taiwan over period 1995 Q1–2016 Q4. The results show that there exists causality expenditure at different frequencies times. changes in relationships of two variables are observed certain events such expansion stage, policy pollution, issue National Health Insurance Integrated Circuit card (NHI-IC) Taiwan....

10.3390/ijerph17041386 article EN International Journal of Environmental Research and Public Health 2020-02-21

Health improvement has become a significant social priority since moderately good human capital condition improves the workforce's abilities, efficiency, and quality of life. A rapid increase in healthcare expenditure is trend major developing developed countries; however, widely varies among most Asian countries. countries contribute amount output to economic development worldwide. The statistical test power more efficient for pooling national data than individual because value trade...

10.3389/fpubh.2021.689610 article EN cc-by Frontiers in Public Health 2021-08-31

Abstract In this paper, a nonintegrated and collaborative replenishment policy is considered, respectively, which incorporates varying demand depending on both inventory level time during the finite planning horizon. For additional cost savings realized from coordination, paper adopts trade credit as cost‐saving shift means introduces brand new parameter, that is, period rate. Then, equitable rate determined, different values of reflect allocation between supplier retailer. Furthermore,...

10.1111/itor.12060 article EN International Transactions in Operational Research 2013-11-25

Abstract Unmanned clusters can realize collaborative work, flexible configuration, and efficient operation, which has become an important development trend of unmanned platforms. Cluster positioning is for ensuring the normal operation clusters. The existing solutions have some problems such as requiring external system assistance, high complexity, poor architecture scalability, accumulation errors over time. Without aid information outside cluster, we plan to construct relative position...

10.1186/s43020-022-00090-2 article EN cc-by Satellite Navigation 2023-01-02

This study concerns small and medium-sized enterprise (SME) suppliers suffering from cash constraints in operations, money shortages with possible disruptions cost uncertainty because of the distributor's supply risk information asymmetry. Thus, this adopts (buyer's) perspective applies a credit guarantee mechanism an incentive contract as management tool. The distributor can adopt contracts to reveal type its supplier; higher inefficient supplier's contribution distributor, smaller gap...

10.1080/00207543.2020.1727039 article EN International Journal of Production Research 2020-02-16

This work aims to examine the relationship between global economic policy uncertainty (GEPU) and tourism activities in fragile five (F5) countries, namely, Brazil, India, Indonesia, South Africa Turkey using three-dimensional wavelet transforms context structures annual data during period of 1997–2018. innovative technique allows decomposition time-series at different time frequencies. In this work, researchers used continuous wavelets based on Granger causality analysis investigate GEPU...

10.1080/02508281.2020.1870072 article EN Tourism Recreation Research 2021-01-20

This study applies wavelet analysis to examine the interplay between treadmill of destruction theory and environmental Kuznets curve in G7 countries over period 1970–2018. The results indicate that, short term, co-movement causality exist military expenditure pollution at different frequencies times. Positive runs from Italy, United Kingdom, States, Canada, Germany sub-periods. After adding economic growth as a control variable, positive Japan, France Decision-makers can refer empirical...

10.1177/0958305x231159437 article EN Energy & Environment 2023-06-26

The purpose of the paper is to formulate a collaborative mechanism for optimising replenishment schedule under trade credit and shelf-life constraint in two-echelon supply chain. We first derive necessary sufficient conditions obtain optimal policy non-integrated scenarios, respectively. Then, additional cost savings realised from coordination, we focus on discussing how determine equitable period, propose an efficient solution procedure coordination results. Finally, two industrial examples...

10.1080/00207721.2014.886747 article EN International Journal of Systems Science Operations & Logistics 2014-01-02

In the paper, an uncooperative replenishment schedule with variable trade credit is considered under a supplier-Stackelberg game, which considers time-varying demand price and learning curve production cost for finite planning horizon in two-echelon supply chain. We focus on discussing condition induces retailer supplier both to accept mechanism increase own total profits. The main insights obtained are following: 1) period coefficient only take two values 1 or 0; 2) smaller supplier's...

10.1504/ejie.2017.084881 article EN European J of Industrial Engineering 2017-01-01

Personal credit scoring on cards has been a critical issue in the banking industry. The bank with most accurate estimation of its customer quality will be profitable. study aims to compare prediction models from data mining methods, and improve traditional by using boosting genetic algorithms (GA). predicting used are instant-based classifiers (such as k-nearest neighbors), Bayesian networks, decision trees, tables, logistic regressions, radial basis function neural support vector machines....

10.5897/ajbm10.1539 article EN AFRICAN JOURNAL OF BUSINESS MANAGEMENT 2011-06-30
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