Manufacturer’s Entry in the Product-Sharing Market

2021 ◽  
Author(s):  
Lin Tian ◽  
Baojun Jiang ◽  
Yifan Xu
Keyword(s):  
Transaction Cost ◽  
Mobile Communications ◽  
Marginal Cost ◽  
Large Scale ◽  
Economic Benefits ◽  
Problem Definition ◽  
Environmental Benefits ◽  
Economic Implications ◽  
Cost Of Production ◽  
The Impact

Problem definition: Mobile communications technologies and online platforms have enabled large-scale consumer-to-consumer (C2C) sharing of their underutilized products. This paper studies a manufacturer’s optimal entry strategy in the product-sharing market and the economic implications of its entry. Academic/practical relevance: Sharing of products or services among consumers has experienced dramatic growth in recent years. The impact of C2C sharing on traditional firms can be very significant. In response to C2C product sharing, many manufacturers (e.g., General Motors and BMW) have entered the product-sharing market to provide business-to-consumer (B2C) rental services in addition to outright sales to consumers. Methodology: We employ a game-theoretic analytical model for our analysis. Results: Our analysis shows that when C2C sharing has a low transaction cost and the manufacturer’s marginal cost of production is not very high, the manufacturer will find it not optimal to offer its own rental services to consumers. In contrast, when the C2C sharing transaction cost is high or the manufacturer’s marginal cost of production is high, the manufacturer should offer enough units of the products for rental to squeeze out C2C sharing (in expectation). When the C2C-sharing transaction cost and the manufacturer’s marginal cost are both in the middle ranges, the manufacturer’s rental services and the C2C sharing will coexist, in which case the manufacturer’s entry in the sharing market may reduce the total number of units of the product in the whole market, but increase the consumer surplus and the social welfare. This reduced number of products due to the manufacturer’s B2C rental service also suggests less environmental impact from production. Managerial implications: The production cost and the C2C sharing transaction cost play critical roles in determining the manufacturer’s optimal quantity to use for its B2C rental services and the equilibrium outcome. In some situations, the manufacturer’s entry in the sharing market provides not only economic benefits to the firm and consumers, but also environmental benefits to the society as a whole.

scholarly journals STRUCTURAL MODELS FOR SUSTAINABLE TOURISM DEVELOPMENT IN MEDAN CITY

2019 ◽  
Vol 3 (2) ◽  
pp. 158
Author(s):  
Edy Sahputra Sitepu ◽  
Rismawati Rismawati ◽  
Dewi Comala ◽  
Edi Putra Berutu ◽  
Jamardua Haro ◽  
...  
Keyword(s):  
Structural Equation ◽  
Sustainable Tourism ◽  
Tourism Development ◽  
Economic Benefits ◽  
Environmental Benefits ◽  
Sustainable Tourism Development ◽  
Tourist Destinations ◽  
Tourism Destinations ◽  
The Impact ◽  
The City

Medan City is currently designated as one of the 20 national tourism destinations that implement Sustainable Tourism Development (STD) in Indonesia. The commitment to implement STD nationally is marked by the signing of the text of the Memorandum of Understanding (MoU) of 20 Regional Heads who are committed to implementing STD together with the Indonesian Ministry of Tourism. Furthermore, under the supervision of the Republic of Indonesia Ministry of Tourism, 20 existing Regencies / Cities made various improvements in each region so that they were finally eligible for STD certification from the STD international certification body. Medan City itself, through the Medan City Tourism Office, related to the implementation of the STD, has established a number of leading tourism destinations. It is hoped that in the future, Medan City will have tourist destinations that have received STD certification. This research was conducted to formulate a model of implementing sustainable tourism development in Medan with a total sample of 220 people spread over 11 leading tourist destinations in the city of Medan, samples were taken with a purposive random sampling technique. The research variables used include; sustainable management, socio-cultural benefits, economic benefits for the surrounding community, environmental benefits and the application of sustainable tourism. Data analysis was carried out with a structural model of the Structural Equation Model (SEM) with the help of Amos 22 software. The results showed that the management aspects, economic aspects, socio-cultural aspects of environmental aspects, and the impact of tourism, directly and indirectly, have a positive effect on the implementation of sustainable tourism in the city of Medan.

scholarly journals The orientation and migratory dynamics of the western rock lobster, Panulirus cygnus, in Western Australia

2014 ◽  
Vol 71 (5) ◽  
pp. 1052-1063 ◽  
Author(s):  
Simon de Lestang
Keyword(s):  
Large Scale ◽  
Economic Benefits ◽  
Rock Lobster ◽  
Commercial Catch ◽  
Breeding Grounds ◽  
Mean Size ◽  
Catch Rates ◽  
Panulirus Cygnus ◽  
The Impact ◽  
Oceanic Currents

Abstract Large-scale migrations are known to occur in numerous species, and in the case of the Western Rock Lobster, Panulirus cygnus, result in juveniles moving from nursery areas into deeper offshore breeding grounds. In 2008 the Western Rock Lobster fishery reduced harvest rates to increase legal and spawning biomass throughout the fishery, which also allowed greater numbers of lobsters to migrate. Increased lobster migration could potentially reduce biomass in some areas, thus adversely impacting commercial catch rates. Over 20 000 tag–recaptured lobsters were analysed to determine the dynamics underlying migration in this species and to assess the impact reduced harvest rates may have had on catches. This study showed that P. cygnus migration was associated with body size and water depth, and that magnetism and oceanic currents appear to be the most likely guideposts used for orientation. Size at migration varied in a constant fashion along the coast, being larger towards the southern end of the fishery and smallest at the offshore Abrolhos Islands. During the migration period, up to 50% of lobsters at their mean size of migration moved from coastal areas out towards deeper waters (>40 m), whereas <15% of those in deeper water at the same size moved significant distances northward. This behaviour appears to be contranatant, counteracting the downstream redistribution of larvae after their 9–11 month larval life. Reduced harvest rates and catches being focussed onto higher valued sedentary lobsters have allowed more lobsters to migrate. However, the numbers moving between management areas are relatively small, with the biological and economic benefits of fishing at a reduced exploitation rate outweighing losses to catches.

scholarly journals Analysis of the Return on Investment in Solar Collectors on the Example of a Household: The Case of Poland

2021 ◽  
Vol 9 ◽  
Author(s):  
Mariusz Niekurzak ◽  
Ewa Kubińska-Jabcoń
Keyword(s):  
Renewable Energy ◽  
Carbon Dioxide Emissions ◽  
Return On Investment ◽  
Renewable Energy Sources ◽  
Economic Benefits ◽  
Green Energy ◽  
Environmental Benefits ◽  
Energy Sources ◽  
Solar Collectors ◽  
The Impact

Background: The growing consumption is what drives the development of unsustainable energy and material-intensive production technologies that emit large quantities of pollutants into the atmosphere, water, and land. Obtaining green energy allows reduction of the interference with the environment and, consequently, fits into a sustainable energy development strategy. In order to achieve the emission targets set by the EU for Poland, it is necessary to prioritize the development of renewable energy sources (RES) technologies within the energy sector.Methods: The purpose of the study was to present the results of the research relating to the return on investment of solar collectors for single-family houses in Poland. The research was presented on the basis of the legal conditions applicable to micro installations in the light of the amendment of the RES Act, and the impact of these amendments on the aspects of such investment was determined.Results: On the basis of the constructed economic model used to assess the return on investment of increasing the area of solar collectors, it has been shown that an operating installation will bring measurable economic benefits in the form of reduction in the amount of energy purchased annually in the amount of 6,756 kWh and environmental benefits in the form of reduction of carbon dioxide emissions to the atmosphere 2.4–3.6 Mg per year. An installation subsidized under the “My Electricity” program can reach an NPV of EUR 6,000 over 20 years at a discount rate r = 0 and assuming that the electricity is EUR 0.15/kWh. If the price rises to 0.2 EUR/kWh, the NPV will be 10,000 EUR. For the analyzed installation, the investment consisting in increasing the collector area in accordance with NPV is economically effective for the absorber area in the range of 5.6–7.6 m2 and reaches the maximum value for the absorber area of 6.6 m2, while the absorber area above 7 m2 contributes to reduce the value of the economic return on investment. The obtained results have been generalized, which allows to use them in the process of selecting the size of collector area for similar installations.Conclusion: The return on investment analysis carried out in respect of a detached house allowed to demonstrate that this project is fully justified. Furthermore, pursuant to the Renewable Energy Sources Act in force in Poland, treating a small entrepreneur as a prosumer who may generally take advantage of favorable conditions for discounting the produced energy leads to very favorable possibilities of settling electricity. Considering an entrepreneur as a prosumer who may use one-off depreciation of a solar collectors installation as a fixed asset and request for VAT refund is what makes such an investment very attractive in financial terms and makes it difficult to find a safe investment alternative characterized by such a high rate of return.

scholarly journals An Empirical Study of Machine Learning Algorithms for Stock Daily Trading Strategy

2019 ◽  
Vol 2019 ◽  
pp. 1-30 ◽  
Author(s):  
Dongdong Lv ◽  
Shuhan Yuan ◽  
Meizi Li ◽  
Yang Xiang
Keyword(s):  
Machine Learning ◽  
Transaction Cost ◽  
Stock Price ◽  
Large Scale ◽  
Statistical Significance ◽  
Significance Test ◽  
Machine Learning Algorithms ◽  
Experimental Results ◽  
Price Trends ◽  
The Impact

According to the forecast of stock price trends, investors trade stocks. In recent years, many researchers focus on adopting machine learning (ML) algorithms to predict stock price trends. However, their studies were carried out on small stock datasets with limited features, short backtesting period, and no consideration of transaction cost. And their experimental results lack statistical significance test. In this paper, on large-scale stock datasets, we synthetically evaluate various ML algorithms and observe the daily trading performance of stocks under transaction cost and no transaction cost. Particularly, we use two large datasets of 424 S&P 500 index component stocks (SPICS) and 185 CSI 300 index component stocks (CSICS) from 2010 to 2017 and compare six traditional ML algorithms and six advanced deep neural network (DNN) models on these two datasets, respectively. The experimental results demonstrate that traditional ML algorithms have a better performance in most of the directional evaluation indicators. Unexpectedly, the performance of some traditional ML algorithms is not much worse than that of the best DNN models without considering the transaction cost. Moreover, the trading performance of all ML algorithms is sensitive to the changes of transaction cost. Compared with the traditional ML algorithms, DNN models have better performance considering transaction cost. Meanwhile, the impact of transparent transaction cost and implicit transaction cost on trading performance are different. Our conclusions are significant to choose the best algorithm for stock trading in different markets.

INNOVATIVE SOFT SOIL IMPROVEMENT BY VACUUM DE-WATERING AND DYNAMIC COMPACTION

2016 ◽  
Vol 3 (1) ◽  
Author(s):  
Tuncer B. Edil
Keyword(s):  
Large Scale ◽  
Ground Improvement ◽  
Soft Soil ◽  
High Vacuum ◽  
Cohesive Soil ◽  
Soil Improvement ◽  
Economic Benefits ◽  
Dynamic Compaction ◽  
Environmental Benefits ◽  
Improvement Method

Recently, an innovative soft soil improvement method was advanced in China by integrating and modifying vacuum consolidation and dynamic compaction ground improvement techniques in an intelligent and controlled manner. This innovative soft soil improvement method is referred to as “High Vacuum Densification Method (HVDM)” to reflect its combined use of vacuum de-watering and dynamic compaction techniques in cycles. Over the past ten years, this innovative soft soil improvement technique has been successfully used in China and Asia for numerous large-scale soft soil improvement projects, from which enormous time and cost savings have been achieved. In this presentation, the working principles of the HVDM will be described. A discussion of the range of fine-grained, cohesive soil properties that would make them ideal for applying HVDM as an efficient ground improvement method will be discussed. The economic benefits and environmental benefits of HVDM are elucidated.

scholarly journals Analyzing the Coupling Coordination among Economic, Social, and Environmental Benefits of Urban Infrastructure: Case Study of Four Chinese Autonomous Municipalities

2018 ◽  
Vol 2018 ◽  
pp. 1-13 ◽  
Author(s):  
Yu Sun ◽  
Yin Cui
Keyword(s):  
Large Scale ◽  
Urban Infrastructure ◽  
Social Benefit ◽  
Basic Function ◽  
Environmental Benefits ◽  
Necessary Condition ◽  
Coordinated Development ◽  
The Impact ◽  
Coordination Degree

Urban infrastructure is a necessary condition for urban development. Its use generates three benefits which are economic, social, and environmental benefits of urban infrastructure. They are the positive impacts on urban economy, society, and environment generated by the use of urban infrastructure, respectively. This paper evaluates the coupling coordination among these three benefits taking four Chinese autonomous municipalities as examples. These four cities have large-scale urban infrastructure but its basic function has not been fully fulfilled. Whether three benefits of urban infrastructure have been developed in harmony or not was unclear. We analyzed the coordinated development among three benefits by constructing coupling coordination degree model and studied the impacts of three benefits on their coupling coordination degree using panel regression model. The results showed that the levels of coordinated development among three benefits of urban infrastructure were low in these four cities and the impact of social benefit on their coordinated development was largest. Therefore, urban infrastructure social benefit needs to be improved mainly in these four cities.

scholarly journals Impact of Covid_19 on E-commerce (From a Legal Point of View)

2021 ◽  
Vol 15 (1) ◽  
pp. 1
Author(s):  
Khaled Abed Alshakhanbeh
Keyword(s):  
Large Scale ◽  
Point Of View ◽  
Economic Implications ◽  
Commercial Activities ◽  
Corona Virus ◽  
Force Majeure ◽  
Contractual Obligations ◽  
The Impact

The spread of the Corona virus and the closure of borders and the ban on travel and commercial bodies in companies, which resorted to many commercial activities, relying on a large scale, e-commerce, tourism in that, commercial relations, as a result of the inability to fulfill their contractual obligations, which led jurists to rely on the theory of emergency conditions to explain the impossibility or difficulty of fulfilling the obligations of the contractors on the terms of contracts, and as a result of the occurrence of many contractual problems, the affect of a virus on the capacity of contractors to fulfill their obligations. This article aims to analyze the impact of the spread of the virus on contractual obligations by relying on the force majeure theory, and the position of jurists on using this theory in explaining the impact of the spread of this epidemic on the ability of the contracting parties to fulfill their obligations. The researcher has come out with a set of results, the most important of which is that the new Corona virus can be considered an obstacle or a force majeure, based on what was stated in the contents of the provisions of the relevant bodies, and this will have legal and economic implications for the contractual obligations of the various international commercial contracts.

scholarly journals Impact of Tourism Development on the Quality of Life: A case study of Perhentian Island, Malaysia

2020 ◽  
pp. 22-37
Author(s):  
Aleff Omar Shah Nordin ◽  
Fathilah Ismail ◽  
Nurain Yasmin Mohd Jamal
Keyword(s):  
Quality Of Life ◽  
Local Community ◽  
Negative Impact ◽  
Negative Relationship ◽  
Tourism Development ◽  
Economic Cost ◽  
Economic Benefits ◽  
Environmental Benefits ◽  
The Impact

The purpose of this research was to identify the perceptions of the local community toward tourism development impacts on Perhentian Island. Specifically, the research examined the local community’s perceptions of socio-cultural impacts, economic impacts, and environmental impacts of tourism development. The research also examined the relationship between the impacts of tourism development on the local community’s quality of life (QOL). This research was conducted using a quantitative approach by obtaining responses from 272 local community respondents on Perhentian Island. A household survey based on purposive sampling techniques was conducted to select a suitable sample. The findings of the study revealed that the positive impacts of tourism development outweighed the negative impact. Based on local community perceptions, they believed that tourism development improved their quality of life. This study also finds the impact of social-cultural benefit, economic benefits, economic cost, and environmental benefits have a significant relationship with quality of life. However, there is a negative relationship between the impact of social-cultural cost and environment cost on the quality of life. The findings of this study are important for planners and developers in planning strategic and sustainable tourism development on tourism destinations.

SUSTAINABLE IMPACT OF BUILDING ENERGY RETROFIT MEASURES

2017 ◽  
Vol 12 (3) ◽  
pp. 69-84 ◽  
Author(s):  
Amirhosein Jafari ◽  
Vanessa Valentin
Keyword(s):  
Social Impact ◽  
Cost Effective ◽  
Building Energy ◽  
Economic Benefits ◽  
Environmental Benefits ◽  
Energy Retrofit ◽  
Cost Effective Method ◽  
Impact Index ◽  
The Impact

Energy retrofitting is argued to be the most feasible and cost-effective method for improving existing buildings' energy efficiency. As a sustainable development, building energy retrofits require the consideration and integration of all three sustainability dimensions: environmental, economic and social. The objective of this study is to estimate and compare the sustainable impact of building energy retrofits to determine the maximum sustainable benefit when implementing different energy-related measures. The proposed analysis consists of integrating three approaches for evaluating these benefits. Economic benefits are measured by estimating the payback period of energy-related measures, environmental benefits are measured by estimating the CO2 equivalent saving per year due to the implementation of energy-related measures, and social benefits are measured by defining a “social impact index” that establishes the impact of energy-related measures on buildings' users. A case study is used to demonstrate the framework for four potential scenarios. The results show that for the case study, energy-related “controlling” and “upgrading mechanical system” measures have the highest sustainable impact among the identified energy retrofitting measures.

Course Scheduling Under Sudden Scarcity: Applications to Pandemic Planning

2021 ◽  
Author(s):  
Cynthia Barnhart ◽  
Dimitris Bertsimas ◽  
Arthur Delarue ◽  
Julia Yan
Keyword(s):  
Large Scale ◽  
Curriculum Planning ◽  
Problem Definition ◽  
Effective Capacity ◽  
Massachusetts Institute Of Technology ◽  
Scheduling Problems ◽  
Integer Optimization ◽  
Course Scheduling ◽  
Institute Of Technology ◽  
The Impact

Problem definition: Physical distancing requirements during the COVID-19 pandemic have dramatically reduced the effective capacity of university campuses. Under these conditions, we examine how to make the most of newly scarce resources in the related problems of curriculum planning and course timetabling. Academic/practical relevance: We propose a unified model for university course scheduling problems under a two-stage framework and draw parallels between component problems while showing how to accommodate individual specifics. During the pandemic, our models were critical to measuring the impact of several innovative proposals, including expanding the academic calendar, teaching across multiple rooms, and rotating student attendance through the week and school year. Methodology: We use integer optimization combined with enrollment data from thousands of past students. Our models scale to thousands of individual students enrolled in hundreds of courses. Results: We projected that if Massachusetts Institute of Technology moved from its usual two-semester calendar to a three-semester calendar, with each student attending two semesters in person, more than 90% of student course demand could be satisfied on campus without increasing faculty workloads. For the Sloan School of Management, we produced a new schedule that was implemented in fall 2020. The schedule allowed half of Sloan courses to include an in-person component while adhering to safety guidelines. Despite a fourfold reduction in classroom capacity, it afforded two thirds of Sloan students the opportunity for in-person learning in at least half their courses. Managerial implications: Integer optimization can enable decision making at a large scale in a domain that is usually managed manually by university administrators. Our models, although inspired by the pandemic, are generic and could apply to any scheduling problem under severe capacity constraints.

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