3,038 research outputs found

    Research on quantity discount pricing by container liner shipping

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    Product bundling in global ocean transportation

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    There are over 20 'components' in an international door-to-door transportation, ranging from warehousing and distribution, to forwarding, documentation, transportation, customs clearance, etc..As tariffs in ocean transportation tend to converge due to competition and service homogenization, carriers, in competition with third party logistics service providers, strive to integrate door-to-door services under their control. In doing so, and among others, they invest heavily in logistics rather than ships that can nowadays be easily chartered in from institutional investors.Integration efforts however have been met with varying degrees of success in the face of skeptical and suspicious shippers requiring cost break down and more transparency. With the use of game theory, this paper attempts to develop winning service bundling strategies for ocean carriers, i.e. global supply chain solutions under all-in prices. Preliminary results show that, under certain conditions, bundling can be an equilibrium strategy for one or more carriers, and despite leveraging around captive liner services and potentially enhanced profits, bundling does not necessarily lead to a loss in social welfare.bundling;integrated logistics;liner shipping;vertical integration

    Scope economy analysis of container shipping network

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    Technological Changes in the Transportation Sector--Effects on U.S. Food and Agricultural Trade: A Proceedings

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    ERS sponsored a workshop, Technological and Structural Change in the Transportation Sector: Effects on U.S. Food and Agricultural Trade, March 17-18, 1999, in Washington, DC. The program's objectives were to raise awareness within ERS about the role and importance of transportation in U.S. food and agricultural trade and to discuss the need of an agency research agenda in this area. More than 60 people attended. Bob Thompson of the World Bank and Jeffrey Frankel of the Brookings Institution led with discussions about the role of transportation in the global food system and the importance of integrating geography and transportation in analysis of international trade. Other panels dealt with transportation technology, past and future, the changing policy environment for ocean shipping, logistical and technological developments aiding exports of specific commodities, including the use of supply chain management. Representatives of the Agricultural Marketing Service discussed the availability of transportation cost data, and the availability of other shipping data was discussed by representatives of the PIERS database, a product of the Journal of Commerce. Two ERS research projects were summarized, one using GTAP and another applying the gravity model to estimate the extent to which distance is less of an inhibiting factor in exporting certain U.S. agricultural exports. The administrator of the Agricultural Marketing Service, the ERS associate administrator, and representatives of the Transportation Research Board, the USDA's World Board, and the Farm Foundation discussed potential ways ERS could include the transportation variable in its research. The program was cosponsored by the Farm Foundation and World Perspectives, Inc.transportation, distance, technology, agricultural trade, United States, Public Economics, Research and Development/Tech Change/Emerging Technologies,

    Research on container liner company marketing strategy

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    Nonlinear pricing for stochastic container leasing system

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    With the substantial upsurge of container traffic, the container leasing company thrives on the financial benefits and operational flexibility of leasing containers requested by shippers. In practice, container lease pricing problem is different from the consumer product pricing in consideration of the fair value of container, limited customer types and monopolistic supply market. In view of the durability of container and the diversified lease time and quantity, the pricing is a challenging task for the leasing company. This paper examines the monopolistโ€™s nonlinear pricing problems in static and dynamic envi- ronments. In particular, the leasing company designs and commits a menu of price and hire quantity/time pairs to maximize the expected profit and in turn customers choose hire quantities/time to maximize their surpluses according to their hire preferences. In a static environment, closed-form solutions are obtained for different groups of customers with multiple types subject to capacity constraint. In a dynamic environment, we address two customer types and derive closed-form solutions for the problem of customers with hire time preference. Further, we show that the effect of the capacity constraint increases with time of the planning horizon when customers have the same hire time preference; while in the case with different hire time preferences, the capacity constraint has opposite effects on the low and high type customers. Last, the case of customers with hire quantity preference is discussed. We focus on the lease with alternative given sets of hire time and use dynamic programming to derive the numerical optimal hire time sequence

    The impacts of online direct channel on pricing strategy and profits: a conceptual application to container shipping company

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    Study on the Pricing and Path Scheme Comparison of Transit Freight

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    This paper aims to optimize the transportation network and transportation organization strategy of Transport through China, enabling operators to obtain greater profits, improving the efficiency of transit freight transport, and solving the problem of transportation pricing and route selection of transit goods. In this paper, the growth trend of transit transport demand is firstly determined. On this basis, the ultimate goal is to maximize the transport profit of the operator. In-depth analysis is made from the perspectives of transport income and transport cost. In addition, through combing existing international transportation routes, the overall transit network map of transit China to central Asian and European countries is drawn. In order to achieve the goal of minimizing transportation expenditure, the model of comparing freight routes is established. The customer is also classified by matrix model. Finally, with the transit transportation from Japan, Korea and other countries as examples, the model in this paper is verified, and the optimal transportation path is obtained through software solution. Compared with the current scheme, it has saved operating costs

    Divergent effects of container port choice incentives on users' behavior

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    Port choice decisions are often considered to be based on unambiguous choice criteria. The authors examine how port users' evaluation of these criteria can differ and how this may affect actors' incentive structure and decision making, and ultimately port performance. Apart from ports' physical characteristics, the paper considers port policy and freight market conditions as components of actors' incentive structures. As port users interact, each actor's decision making has consequences for the incentives offered to others โ€“ with an important role for strategic behavior. The aggregate of port users' decisions affects a port's throughput, cargo composition, and value added, and has implications for handling efficiency. This paper combines these insights within an overarching framework linking port characteristics, policy, and freight market conditions to port user choice behavior and the consequences for ports. The paper explores various facets of this framework using the case of how the Port of Rotterdam competes along the Hamburgโ€“Le Havre range, drawing on port throughput data on various levels of detail and in-depth interviews with a representative selection of port stakeholders. It shows that there is a downside to ports being particularly attractive to carriers, in that the port that offers the most incentives to carriers disproportionately attracts relatively low-value activities: inefficient calls and a large share of empty containers, along with a strong import/export imbalance. Interview findings contextualize the findings from the data and elaborate further on the mechanisms underpinning these observations. Most importantly, the attractiveness of a port for carriers does not always translate into attractiveness for shippers. The challenge for port policy is to balance the port's positioning toward its different categories of users and achieve a congruent value proposition for all port users

    Modeling of Optimal Concession Contract between Port Authority and Terminal Operators using Channel Coordination Model

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    ์„ธ๊ณ„ ํ•ด์šด ์‹œ์žฅ์˜ ๊ธ‰๊ฒฉํ•œ ๋ณ€ํ™”๋Š” ํ•ญ๋งŒ ์‚ฐ์—…์— ํฐ ์˜ํ–ฅ์„ ๋ฏธ์นœ๋‹ค. PA (ํ•ญ๋งŒ๊ณต์‚ฌ)์™€ TOC (ํ„ฐ๋ฏธ๋„ ์šด์˜ ํšŒ์‚ฌ)๋Š” ๊ฒฝ์Ÿ ์šฐ์œ„๋ฅผ ํ™•๋ณดํ•˜๊ธฐ ์œ„ํ•˜์—ฌ ์ง€๊ธˆ๊นŒ์ง€ ํ•ญ๋งŒ ์‹œ์„ค๊ณผ ์žฅ๋น„์— ๋งŽ์€ ํˆฌ์ž๋ฅผ ํ•ด์™”๋‹ค. TOC๋Š” ๊ฒฝ์Ÿ์‚ฌ ๋ฐ ํ•ด์šด ํšŒ์‚ฌ๋กœ๋ถ€ํ„ฐ์˜ ์š”๊ตฌ ์‚ฌํ•ญ์— ๋”ฐ๋ผ ์ˆ˜์ต์„ฑ์„ ์ œ๊ณ ํ•˜๊ธฐ ์œ„ํ•ด ๋…ธ๋ ฅํ•œ๋‹ค. ๊ฐ™์€ ์ƒํ™ฉ์—์„œ PA๋„ ๊ฒฝ์Ÿ๋ ฅ์„ ์ฐพ๊ณ  ์žˆ๋‹ค. ์‹œ์žฅ์˜ ๋ถˆํ™•์‹ค์„ฑ๊ณผ ๊ธฐ์ˆ ์  ๋ณ€ํ™”๋Š” PA์™€ TOC๊ฐ€ ํ˜‘๋ ฅํ•˜์—ฌ ๋” ๋‚˜์€ ์žฌ์ • ์ƒํƒœ๋ฅผ ์š”๊ตฌํ•˜๊ณ  ์žˆ๋‹ค. PA์™€ TOC๊ฐ„์—๋Š”๊ณ„์•ฝ์„ ํ†ตํ•ด ์—ฌ๋Ÿฌ ๋ฐฉ์‹์œผ๋กœ ์šด์˜๋œ๋‹ค. ์„ธ๊ณ„์˜ 60-70%๊ฐ€ ์šด์˜์ค‘์ธ ์ž„๋Œ€ ๊ธฐ๋Šฅ ๋ชจ๋ธ์— ๋”ฐ๋ฅด๋ฉด, PA๋Š” ํ•ญ๋งŒ์˜ ํ† ์ง€ ๋ฐ ์ธํ”„๋ผ๋ฅผ ์†Œ์œ โˆ™๊ด€๋ฆฌํ•˜๋ฉฐ, TOC๋Š” ํ„ฐ๋ฏธ๋„ ์šด์˜์„ ๋‹ด๋‹นํ•œ๋‹ค. PA์™€ TOC๋Š” ๊ณ„์•ฝ์„ ํ†ตํ•ด ๊ณ ์ • ์š”๊ธˆ์ œ ๋‚ด์ง€ ๋‹จ๊ฐ€ ์š”๊ธˆ์ œ ๋“ฑ์˜ ์—ฌ๋ถ€๋ฅผ ๊ฒฐ์ •ํ•œ๋‹ค. ์„ธ๊ณ„ ํ•ญ๋งŒ ์ž„๋Œ€ ์‹œ์Šคํ…œ์„ ๋น„๊ตํ•ด ๋ณผ ๋•Œ, ์ ˆ๋Œ€์ ์ธ ๊ณ ์ •๋œ ๊ณ„์•ฝ ๋ฐฉ์‹์ด ์—†๋‹ค๊ณ  ํ•œ๋‹ค. ์•„์‹œ์•„์˜ ๋Œ€๋ถ€๋ถ„ ์ง€์—ญ์—์„œ๋Š” ๊ณ ์ • ์š”๊ธˆ์ œ๋ฅผ ์ด์šฉํ•˜๊ณ , ์œ ๋Ÿฝ ์ง€์—ญ์—์„œ๋Š” ๊ณ ์ • ์š”๊ธˆ์ œ์™€ ๋‹จ๊ฐ€ ์š”๊ธˆ์ œ๊ฐ€ ํ˜ผํ•ฉ๋œ ๊ณ„์•ฝ์„ ์ด์šฉํ•œ๋‹ค. ๊ทธ๋™์•ˆ ์„ธ๊ณ„ ํ•ญ๋งŒ ์ž„๋Œ€ ์‹œ์Šคํ…œ์— ๊ฐ„ํ•œ ์—ฐ๊ตฌ๋Š” ๋งŽ์ง€ ์•Š์•˜๋‹ค. ํŠนํžˆ ๊ตฌ์ฒด์  ์ˆ˜์น˜๋ฅผ ์ œ๊ณตํ•˜์ง€ ์•Š๊ฑฐ๋‚˜ ๋น„์‹ค์šฉ์  ์—ฐ๊ตฌ๊ฐ€ ๋งŽ์•˜๋‹ค. ํ•œํŽธ, ์ด์ „ ์—ฐ๊ตฌ์—์„œ๋Š”TOC๋ณด๋‹ค PA ๊ด€์ ์—์„œ์˜ ์ด์ต ๊ทน๋Œ€ํ™”๋ฅผ ๋„๋ชจํ•˜๋Š” ๋ฐ ์ค‘์ ์„ ๋‘์—ˆ๋‹ค. ๋งŒ์•ฝ PA๊ฐ€ ์ฒ˜๋ฆฌ๋Ÿ‰์„ ๋Š˜๋ฆผ์œผ๋กœ์จ ์ด์ต์„ ๊ทน๋Œ€ํ™”ํ•˜๊ณ ์ž ํ•  ๋•Œ, ๊ณ ์ • ์ž„๋Œ€ ๊ณ„์•ฝ์ด ๋” ์œ ๋ฆฌํ•œ ์„ ํƒ์ด๋‹ค. ์ด ์—ฐ๊ตฌ๋Š” ๊ณต๊ณต๊ธฐ๊ด€๊ณผ ๋ฏผ๊ฐ„ ๋‹จ์ฒด ์ƒํ˜ธ๊ฐ„์˜ ์ด์ต ๊ทน๋Œ€ํ™”์˜ ๋ฐฉ์‹์œผ๋กœ ์—ฐ๊ฒฐํ•˜๋Š” ๋ฐฉ๋ฒ•์— ์ค‘์ ์„ ๋‘๊ณ  ์žˆ๋‹ค. PA๊ฐ€ TOC์—๊ฒŒ ์ œ์•ˆํ•˜๋Š” 4 ๊ฐ€์ง€ ์œ ํ˜•์˜ ๊ณ„์•ฝ ๋ฐฉ์‹์€ ๋น„์กฐ์ •, ์กฐ์ •, Cournot ๋ฐ Collusion ๋ชจ๋ธ๋กœ ๋น„๊ตํ•˜๊ณ , ๋™์‹œ์— ๊ฐ ๊ณ„์•ฝ ๋ฐฉ์‹์— ๋Œ€ํ•ด ๋ชจ๋“ˆ ์ˆ˜ํ–‰๊ณผ ์ˆ˜์น˜ ๋ถ„์„์„ ํ†ตํ•ด ๋ชจ๋ธ์„ ๋น„๊ตํ•œ๋‹ค. ์—ฐ๊ตฌ ๊ฒฐ๊ณผ๋Š” ํ–ฅํ›„ ํ•ญ๋งŒ ์ž„๋Œ€ ๊ณ„์•ฝ์„ ์ˆ˜๋ฆฝํ•˜๋Š” ๋ฐ ์ค‘์š”ํ•œ ์˜ํ–ฅ์„ ๋ฏธ์น  ๊ฒƒ์ด๋‹ค. ๋น„๊ต ์ˆ˜์น˜ ๋ถ„์„์„ ๊ด€์ฐฐํ•˜๋ฉด ๋‹ค์Œ๊ณผ ๊ฐ™์€ ์ฃผ์š” ๊ฒฐ๊ณผ๋ฅผ ์–ป์„ ์ˆ˜ ์žˆ๋‹ค. ๊ฒฐ๊ณผ์— ๋”ฐ๋ฅด๋ฉด, ๊ณ ์ • ๊ณ„์•ฝ๊ณผ ๋‹จ๊ฐ€ ๊ณ„์•ฝ์„ ํ•ฉ์นœ ์กฐ๊ฑด์ด ๊ฐ๊ฐ์˜ ๊ณ ์ • ๋ฐ ๋‹จ๊ฐ€ ๊ณ„์•ฝ์ œ ๋ณด๋‹ค ๋” ๋†’๋‹ค๋Š” ๊ฒƒ์„ ์•Œ ์ˆ˜ ์žˆ๋‹ค. PA๊ฐ€ TOC์˜ ์ด์ต๊ณผ ์œ„ํ—˜์„ ๋‹ค๋ฃจ๋Š” ๋งŒํผ TOC๊ฐ€ ์ฒ˜๋ฆฌ๋Ÿ‰์„ ์ฆ๊ฐ€์‹œํ‚ฌ ์ˆ˜ ์žˆ์œผ๋ฉฐ, ์ด๊ฒƒ์€ PA์™€ TOC ๊ฐ„์˜ ์ด์ด์ต์„ ๊ทน๋Œ€ํ™” ํ•  ์ˆ˜ ์žˆ๋‹ค. ๋”ฐ๋ผ์„œPA๊ฐ€ ์กฐ์ • ์—†๋Š” ๊ณ„์•ฝ์„ ์ œ๊ณตํ•˜๋Š” ๊ฒƒ๋ณด๋‹ค ์กฐ์ •๋œ ๊ณ„์•ฝ์„ ์ œ๊ณต ํ•  ๋•Œ ๋” ๋งŽ์€ ์ด์ต์„ ๋‚ผ ์ˆ˜ ์žˆ๋‹ค. ๊ทธ๋ฆฌ๊ณ  PA์™€ TOC์˜ ํ†ตํ•ฉ ์ด์ต์€ ๊ฐ๊ฐ์˜ ์ด์ต๋ณด๋‹ค ๋” ๋†’๋‹ค. PA์™€TOC์˜ ํ†ตํ•ฉ ์ด์ต์„ ํ†ตํ•ด์„œ PA๋Š” TOC์—๊ฒŒ ์ ์ ˆํ•œ ๊ณ„์•ฝ ๋ฐฉ์‹์„ ์ œ๊ณตํ•˜๊ณ  ์ƒํ˜ธ๊ฐ„์˜ ์ด์ต ๊ทน๋Œ€ํ™”๋ฅผ ๋„๋ชจํ•  ์ˆ˜ ์žˆ๋‹ค. PA๊ฐ€ ์ด์ต์„ ๋Š˜๋ฆฌ๋ ค๊ณ  ์‹œ๋„ ํ•  ๋•Œ๋งˆ๋‹ค ์ˆ˜์ต๊ณผ ์ˆ˜์š” ์œ„ํ—˜์„ ๊ณต์œ ํ•จ์œผ๋กœ์จ TOC์™€์˜ ๊ด€๊ณ„๋ฅผ ์œ ์ง€ํ•ด์•ผํ•œ๋‹ค. PA๋Š”TOC์™€์˜ ํ˜‘์กฐ๋กœ ์–ด๋–ค ๊ณ„์•ฝ๋ฐฉ์‹์„ ์„ ํƒํ•˜๋”๋ผ๋„ ์ด์ต์„ ์ฐฝ์ถœํ•  ์ˆ˜ ์žˆ๋‹ค.|Rapid changes in the global maritime market have a major impact on the port industry. PA (Port Authority) and TOC (Terminal Operating Company) have invested heavily in port facilities and equipment so far to secure competitive advantage. TOC strives to improve profitability in accordance with requirements from competitors and shipping companies. In the same situation, PA is also looking for its own profitability. Market uncertainty and technological changes require PA and TOC to achieve better financial conditions in cooperation. The ports are operated in different contracts. According to the landlord function model which is operated by 60-70% of the world, the PA owns and manages the land and infrastructure of the port, and the TOC is responsible for terminal operations. The PA and TOC will decide whether to use a fixed fee or a unit fee through the contract. There is no absolute contract method in the port leasing system. Most regions in Asia prefer to use the fixed fee, while European countries prefer to use a mix of fixed fee and unit fee. There have been few studies on the port leasing system. In particular, most of them did not provide specific calculations or were impractical. On the other hand, previous studies have focused on maximizing profits from the perspective of PA rather than TOC. This research focuses on how to connect to the method of maximizing profit between public and private entities. The four types of contracts proposed by the PA to the TOC are compared with the uncoordination, coordination, Cournot and Collusion models, and at the same time, model comparisons and numerical analysis are performed for each contract method. The results of the study will have a significant impact on establishing future port lease contracts. Observing the comparative numerical analysis, the following main results are obtained. According to the results, it can be seen that the two-part tariff is higher than the each of fixed and unit contracts. As the PA shares with the profits and risks in cooperation with the TOC, the TOC can increase throughput, which can maximize the total benefit between PA and TOC. Thus, the PA can make more profits when it comes to providing a contract that is coordination contract provide more than uncoordination contract. And the joint profit of PA and TOC is higher than the respective total profits. Through the joint profit of PA and TOC, the PA can provide the TOC with the appropriate contractual condition and maximize their joint profits. The PA, in cooperation with the TOC, is able to generate profits no matter what contract type it chooses.Table of Contents LIST OF TABLES III LIST OF FIGURES III ABSTRACT IV ์ดˆ๋ก VI CHAPTER 1. INTRODUCTION 1 1. BACKGROUND 1 2. AIM AND OBJECTIVES 6 3. SIGNIFICANCE 9 4. STRUCTURE OF THE THESIS 10 CHAPTER 2. LITERATURE REVIEW 11 1. PORT ECONOMICS 11 1. PORT GOVERNANCE 11 2. CONTRACTS: LEASEHOLD AND CONCESSION 16 3. PRICING MECHANISM 18 2. CONCESSION CONTRACT SCHEMES 21 1. FIXED-FEE CONTRACT 21 2. UNIT-FEE CONTRACT 22 3. TWO-PART TARIFF CONTRACT 22 4. FOREIGN AND KOREAN PORT CONTRACT SCHEMES 22 3. RISK SHARING CHARACTERISTICS 26 1. RISKS TYPES IN CONCESSION CONTRACTS 27 2. RISK ALLOCATION BETWEEN PA AND TOC 28 CHAPTER 3. THEORETICAL BACKGROUND AND MODEL DEVELOPMENT 30 1. THEORETICAL BACKGROUND 30 1. BERTRAND MODEL 31 2. COURNOT MODEL 32 3. STACKELBERG MODEL 33 4. COLLUSION MODEL 34 2. MODEL DEVELOPMENT 38 1. TERMINAL OPERATORSโ€™ OPTIMAL BEHAVIORS UNDER THREE SCHEMES 41 2. PORT AUTHORITYโ€™S OPTIMAL BEHAVIORS UNDER FOUR SCHEMES 45 3. COURNOT COORDINATION 55 4. COLLUSION COORDINATION 59 5. COMPARING THE ASSUMPTION MODELS 64 3. COORDINATION THROUGH SHARING THE RISK AND REVENUE 72 1. ASSUMPTION 72 2. SHARING THE JOINT PROFIT 73 3. SHARING THE MARKET UNCERTAINTY 73 4. SHARING THE MARKET RISK 74 CHAPTER 4. NUMERICAL ANALYSIS AND RESULTS 75 CHAPTER 5. CONCLUSION 81 1. SUMMARY 81 2. IMPLICATIONS 83 3. LIMITATION 84 4. FURTHER STUDIES 85 REFERENCE 86Docto
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