A decision-making model for remanufacturers: Considering both consumers’ environmental preference and the government subsidy policy

2018 ◽  
Vol 128 ◽  
pp. 176-186 ◽  
Author(s):  
Senlin Zhao ◽  
Qinghua Zhu ◽  
Li Cui
2014 ◽  
Vol 4 (1) ◽  
pp. 95-103 ◽  
Author(s):  
Li Li ◽  
Guo-hui Hu

Purpose – At present, financial agglomeration tendency in domestic and foreign countries is increasingly evident. Therefore, from a comparative perspective, this paper aims to assess and predict the financial agglomeration degree in central five cities. Design/methodology/approach – According to the diversity of evaluating indexes and the uncertainty of financial agglomeration, this paper constructs a set of indexes of evaluating the financial agglomeration degree, comprehensively evaluates the financial agglomeration degree of the five cities – Wuhan, Changsha, Zhengzhou, Nanchang and Hefei – in China's middle region from 2001 to 2010 by using the multiple dimension grey fuzzy decision-making model, and predicts their development tendency by using the GM (1, 1, β) model. Findings – The results show that the multiple dimension grey fuzzy decision-making pattern cannot only be used to determine the weights of evaluating indexes, but also get the fuzzy partition and ranking order of the financial agglomeration in central five cities. The grey prediction results can objectively reflect the development tendency of the financial agglomeration in central five cities. Practical implications – From the results, it is necessary for any competitive city to clarify their relative strengths and weaknesses in order for the accurate location and scientific development, and it also provides a reference for the government decision-making. Originality/value – The paper succeeds in using the multiple dimension grey fuzzy decision-making model to measure the financial agglomeration degree of the five central cities and the grey prediction model to predict future trends.


2020 ◽  
Vol 8 (4) ◽  
pp. 1396-1417
Author(s):  
Resi Ariyasa Qadri ◽  
Amrie Firmansyah

Purpose of the study: This paper aims to elaborate on how the institutional logic of public housing provision transforms from the old logic into the new logic. By encapsulating tacit-knowledge from the shift, this study focuses on how to explicate a model of multi-criteria decision-making for executing official residence projects in Indonesia. This research also aims to recuperate the future of the public residency field. Methodology: The methodology employed was a mixed method. The qualitative method was firstly applied by utilizing semi-structured interviews to build a decision-making model. Later, a quantitative method was implemented to improve the consistency of the model by using the Analytical Hierarchy Process protocols. Thirteen project representatives and ten decision-makers were being involved as the main informants. Google Sheets web-based software was applied for analyzing survey results by making use of a mathematical model for the Analytical Hierarchy Process. Main Findings: The result indicates that land not used as paddy field, fair house price, safe from flood location, serene ambiance, and developer experience has played a significant part in affecting buying decisions for residency projects. To carry out the new method, the total scores of the AHP calculation should be above 50. Otherwise, the government shall opt for the old mechanism. Applications of this study: The paper contributes to the public sector accounting field in the area of asset management and public housing procurement. The paper also gives a strong basis for the field to make use of the model of Indonesia's public housing provision. The government can adopt the research framework for choosing the new model or the old one. Novelty/Originality of this study: This study might be the only one of its kind. The research was using a multi-method to achieve the objectives. To generate a multi-criteria decision-making model, grounded data of excessive interviews were abstracted. Then the abstracted tacit-knowledge was tested with AHP to provide a consistent model.


2021 ◽  
Vol 13 (9) ◽  
pp. 4959
Author(s):  
Beryl Wong Xin Xian ◽  
Yani Rahmawati ◽  
Al-Hussein Mohammed Hassan Al-Aidrous ◽  
Christiono Utomo ◽  
Noor Amila Wan Abdullah Zawawi ◽  
...  

Value-based decision making is the consideration of function and cost in the decision to select the highest possible option. Reviews to previous studies showed that there is a lack of consideration of the criteria of value in the decision-making process. Hence, this research aims to identify the criteria for redeveloping transportation facilities based on function and cost. The ultimate goal of this research is to select the best value alternative for project redevelopment. An abandoned airport was chosen as the case study to evaluate the decision made by the government to invest in the project of transforming the abandoned airport into a hospital that aims to cater to the increasing demand for healthcare. A quantitative and qualitative approach was applied through literature review, survey, and interview to experts in the area of transportation facilities development. Statistical descriptive analysis was used to analyse the first survey, which was to investigate the critical factors under the category of function. The second survey was conducted to select the most valuable alternative for the redevelopment by utilising the Analytical Hierarchy Process (AHP), and it was found that the transportation hub is the most valuable alternative for redeveloping the abandoned airport. The result was then validated by an expert from the industry, and it can be concluded that the value-based decision-making model can be used in enhancing the decision of the redevelopment of transportation facilities by considering both function and cost.


PLoS ONE ◽  
2022 ◽  
Vol 17 (1) ◽  
pp. e0261896
Author(s):  
Wen Jiang ◽  
Xian Qi

Prefabricated construction has attracted worldwide concern and promotion due to its environmental friendliness, high quality, and high efficiency. In China, the application of prefabricated construction still lags due to its high cost. To improve prefabricated construction development, the Chinese government and provinces have launched subsidy policies for different objects that offer subsidies to the assembler, the manufacturer, or consumers. Subsidy policies for different subsidy objects have different impacts on the manufacturer wholesale price and assembler retail price and assembly rate and make their decisions more complicated. Therefore, this study uses game theory and builds three models to analyze the effects of government subsidies on manufacturer pricing, assembler pricing, assembly rate decisions, and profit. We find that government subsidy policies can bring more profit to prefabricated construction enterprises, reduce their costs, and benefit the promotion of prefabricated construction. Through comparison and numerical analysis, we also find that when the government subsidizes enterprises more, it is better to subsidize the assembler, because it is good for all three parties. First, consumers can obtain a lower retail price. Second, enterprises can obtain more profits. Finally, for the government, this approach can increase the demand for prefabricated construction and increase the assembly rate, which is conducive to the promotion of prefabricated construction. When the government subsidizes customers more, it is better for the assembler and the manufacturer to subsidize customers, because they can obtain more profits. It is better for the government and customers to subsidize the assembler or the manufacture, because consumers can get the lower retail price. Although the assembly rate and enterprises’ profits are not optimal, they have also been improved. In addition, when the government directly subsidizes enterprises, the enterprises will actively cooperate with the subsidy policy and are more willing to adopt prefabricated construction. This approach will benefit the promotion of prefabricated construction.


Kybernetes ◽  
2019 ◽  
Vol 48 (9) ◽  
pp. 2150-2174 ◽  
Author(s):  
Shih-Hsien Tseng ◽  
Hui Ming Wee ◽  
Pei Shen Song ◽  
Schnell Jeng

Purpose Supply chain management (SCM) focuses smart logistics and quality service. Diverse elements such as design, procurement, production and sale policies are the keys to SCM efficiency. Due to worsening environmental pollution in recent years, many businesses, government agencies and consumers have become more aware of greenhouse gases (GHG) emissions. In response, the government has established new environmental regulations to control various GHG, such as CO2 and sulfur dioxide. Therefore, to reduce pollution and its adverse effects, the authors have promoted environmental concerns by developing environmental friendly policies. The purpose of this paper is to develop a multi-objective decision making model that integrates both forward and reverse logistics to determine how best to incorporate recycling and reduce manufacturing costs. Design/methodology/approach In this study, the authors developed a multi-objective decision-making model that integrates both forward and reverse logistics to determine how best to incorporate recycling and reduce manufacturing costs. They used the normalized normal constraint method as proposed by Messac et al. (2003) to generate a series of uniform lines on a Pareto Frontier chart. Findings Based on the results of this study, the authors can determine the trade-off between costs and emissions and design the most environmental-friendly and economical strategy for production. Research limitations/implications This study is limited to a case study on paper manufacturing. Practical implications The authors considered the full truckload discount policy in which buyers can reduce their purchase costs by increasing the number of full truckload product orders; this will reduce transportation costs and also minimize overall carbon emissions. Social implications This study encourages industries to focus on environmental friend policies and social responsibilities. Originality/value The authors investigated the impacts of the paper making industry on economy and environment. An increase in demand will negatively impact the environment by causing CO2 emissions to increase from higher production and the felling of more trees to provide raw materials for manufacturers (paper mills).


2018 ◽  
Vol 10 (8) ◽  
pp. 2661 ◽  
Author(s):  
Ying Luo ◽  
Xiaowen Jie ◽  
Xiaoping Li ◽  
Liming Yao

While the rapid development of Chinese manufacturing SMEs has contributed significantly to economic growth, it has also resulted in environmental pollution and resource abuse problems. To resolve these problems, Chinese manufacturing SMEs need to accelerate their implementation of comprehensive green manufacturing (GM); However, this is a complex and arduous task as it involves government, enterprise and societal considerations. Therefore, it is has become imperative to identify Chinese manufacturing SMEs green drivers. Focusing on the current situation in China and using a combination of previous research and expert views, this paper comprehensively examines the development of SMEs in China to deconstruct the green driver dimensions. The identified drivers are then evaluated using a novel hybrid multi-criterion decision-making methods (MCDM), the evaluation criteria weights calculated using fuzzy DEMATEL and fuzzy TOPSIS employed to rank the green drivers. It was found that technology innovation, customer demand, incentives, regulations, supply chain pressure and public pressure were the most significant drivers for the implementation of GM in Chinese manufacturing SMEs. Finally, some managerial implications are given to assist the government, enterprises and the public focus on a few crucial drivers to ensure that the green transformation of Chinese manufacturing SMEs is scientific and efficient.


2020 ◽  
Vol 11 (3) ◽  
pp. 459-482
Author(s):  
Xueping Zhen ◽  
Shuangshuang Xu ◽  
Dan Shi ◽  
Fangjun Liu

Purpose This study aims to explore the government’s subsidy preference and pricing decisions of a manufacturer who produces traditional and green product simultaneously under different government subsidy policies. Design/methodology/approach The authors establish a model consisting of a government, a set of heterogeneous consumers and a manufacturer. Three government subsidy policies are investigated without government subsidy (NS), government subsidy to consumer (CS) and government subsidy to the manufacturer (MS). Findings The results show that the government subsidy can increase both the green product’s demand and the manufacturer’s profit. The subsidy level and government’s utility under the CS policy are equal to those under the MS policy. Furthermore, if the government’s subsidy level is exogenous, there exists a Pareto improvement region when social welfare for unit greenness level is high. That is, if the government’s subsidy level under the CS policy is higher than that under the MS policy, both government and manufacturer prefer the CS policy; otherwise, they prefer the MS policy. Research limitations/implications This paper considers the market where there is a monopoly green manufacturer and a government that only provides subsidy policy. In fact, competition from traditional manufacturers and carbon taxes are also worth exploring in future research. Practical implications This study provides some suggestions for government subsidy and provides guidance for the manufacturer’s pricing decisions under different government subsidy policies. Originality/value This paper is the first to compare government subsidy to consumer with a government subsidy to the manufacturer and investigate the pricing decisions of a manufacturer who produces traditional and green product simultaneously by considering an endogenous subsidy level of government.


2014 ◽  
Vol 2014 ◽  
pp. 1-5
Author(s):  
Zhiying Liu ◽  
Qinqin Li

To encourage enterprises to conduct technology innovation, the government needs to formulate appropriate subsidies policy. This paper compares two R&D subsidy policies in a supplier-manufacturer supply chain, in which the manufacturer conducts R&D activity for quality improvement. By means of game theory, we investigate the optimal decisions of the players under the two R&D subsidy policies, that is, input subsidy policy and product subsidy policy. Finally, we compare the profits and welfare to explore the better R&D subsidy policy and provide decision support for government to formulate subsidy policy. The results show that under input subsidy policy the optimal production output, quality improvement, profits, government subsidies, and social welfare are all lower than those of product subsidy policy. Therefore, the government should use product subsidy strategy to encourage enterprise R&D activities.


Author(s):  
Biao Li ◽  
Yong Geng ◽  
Xiqiang Xia ◽  
Dan Qiao ◽  
Hao Wang

Authorized remanufacturing is an important means to achieve green manufacturing and carbon neutrality. In this study, a game theory model between a manufacturer and a remanufacturer was constructed to analyze the impact of government subsidies and carbon tax policies on authorized remanufacturing. Based on the game theory model, the effects of two government policies on the optimal solution, namely, the unit cost of remanufacturing product authorization and the waste product recovery rate, were compared and analyzed. This analysis could provide a reference for the government to improve and formulate relevant remanufacturing policies. The main results are as follows: government subsidy policies may increase the unit cost of remanufacturing product authorization and the rates of waste product recovery; government carbon tax policies may not affect the unit cost of remanufacturing product authorization, and increase the rates of waste product recovery; the government subsidy policy may not affect the unit retail price of new products, and reduces the unit retail price of remanufactured products; the government subsidy and carbon tax policies may reduce sales of new products and increase sales of remanufactured products; the government subsidies may increase the revenue of the original equipment manufacturer (OEM) and the remanufacturer; and the government carbon tax policies may increase the revenue of the remanufacturer. However, government carbon tax policies increase the revenue of the OEM only when the new product carbon tax amount is higher than a certain threshold. The impact of the two policies on the environment is related to the ratio of the two products’ impact on the environment, i.e., the quota ratio between the unit government carbon tax of the new product and the unit government subsidy of the remanufactured product. Finally, the consumer surplus is maximized when the government adopts the subsidy policy and lowest when the government adopts the carbon tax policy.


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