Friday, November 11, 2016


International Trade-Theory
By Alfonso Llanes
November 10, 2016
Abstract
International trade is the inseparable companion of transportation and this paper will investigate in separate parts theory, technology, infrastructure, logistics, markets, methodology, commodities, economics, finance, and the public organizations and NGO’s  that encompass international commerce.
How cargo is classified not only for valuation of duties and taxation but for the efficient packaging, handling and movement from a point origin to destination as a single cargo units. In addition, this paper will examine international trade data regarding producer- consumer- countries across international such as energy, agriculture, base metals, ores and the exchanges for bulk, semi-manufactured, and manufactured merchandise and commodities were bidding takes place.
Thousands of books and papers have been written over a long span of years about transportation, trade, markets and so on, nonetheless, the intention of this paper is to revisit these same issues with a different lens and apply recent and the innovative approaches by making use of applied fractals for the analysis.  The reason for taking this method is that markets behave in chaotic ways with unpredictable economic swings that go beyond the business cycle, so, new tools are needed to explore our challenging times.
Introduction
Description of Fractals
Fractals are used in the study of chaos and chaotic systems such as the weather and other systems in disarray where mathematical geometry has proven to be very useful examining the sets that emerge from repeating patterns of disorder at every scale of reduction or amplification.
Fractal surfaces are set apart from Euclidian surfaces in unique ways as not being differentiable, usually exceeding its topological dimension. The term "fractal" was first used by mathematician Benoît Mandelbrot in 1975 when he came across fractals while studying the weather and coined the word fractal as in “fractured geometry”.
Some mathematical concepts that had been studied in the past are now an intrinsic part of a fractal set as is for example the Fibonacci sequence in a recursive process when a thing are defined in terms of itself or of its type as in “circular reasoning”.
Computer scientist programmers deal extensively with the use of self-referencing which is counter intuitive but follows a set of logical steps in a sequence that a computer can read and execute within the program’s logic. This is of course the opposite logic for mathematical teaching in Euclidian space.
There is some disagreement amongst authors on how the concept of a fractal should be formally defined but the general consensus is that theoretical fractals are infinitely self-similar, iterated, and detailed mathematical constructs having fractal dimensions. However, these dimensions are not limited to geometric patterns, but can also describe processes in time and patterns with various degrees of self-similarity in images, structures and sounds.
Since this paper is not about the study of fractals but rather the application of fractal patterns to the various disciplines that comprise international trade. This process of removing middle thirds is a simple example of a finite subdivision rule.
Cantor ternary set finite subdivision rule.
Source: Wikipedia        


Trade Theory

A division of labor in trade theory means that countries produce just a small range of goods or services, and may contribute only a small part to finished products sold in global markets. The assembly line and the assembly circles are methods of production still in use today but more becoming a robotic function as an economy modernizes from labor intensive to technology oriented and services.
Specialization is the second fundamental principle associated with trade, and results from the division of labor. Given each producer a given a specialist role, as efficient contributors to the overall process of production, and to the finished product. Specialization can be applied to individuals, firms, machinery and technology, and to whole countries. 
Comparative advantage is a term associated with 19th Century English economist David Ricardo (1817) which means that trade, encourages a country to specialize in producing only those goods and services which it can produce more effectively and efficiently, and at the lowest opportunity cost. Trade increases competition and lowers world prices, which provides benefits to consumers by raising the purchasing power of their own income, and leads a rise in consumer surplus. The quality of goods and services is likely to increases as competition encourages innovation, design and the application of new technologies. Trade will also encourage the transfer of technology between countries.  In order to set up comparative advantage to be studied by the use of fractals we can divide exports by imports of national economy to obtain and index for a given period of time. 

  in logarithmic form   

     
This relationship can be displayed in a time series graph and projected  over a future period that can be analized with fractals.  An iterative equation  can convert a time series into a fractal and use this equation to predict future behavior of the interaction.
Dow Jones industrial index 1988-97
           
Source Global Finance Data                                                                               The DJ chart can be approximated with the Weierstrass fractal function.                                                                                                                                                                                                                                                                                                                          
Below is a graph generated with random using Excel by the author showing a two country analysis of current accounts for a single year slotted in a regular 52 week interval applying the moving average method:


The challenge then becomes writing an equation for this time series that does not converge nor diverge but it is periodic either with real numbers or in the complex plane of the type x2 + 1 = 0, a + bi =z in order to project a trend line beyond 52 weeks. The advantage of using  fractals for the analysis is that a model can be easily simulated by a computer  or a worksheet.

Similarly the Weierstrass fractal function can be iterated using a computer or a worksheet. Here is the equation as a sum of a series which is entered into an Excel worksheet below.
Original equation
 


The time series generated indicates a negative trend; however, running the model for a longer period might bring a surprising result. Since this is just a sampling of the process this paper would not explore the issue any further for now as fractals will be taken on again at later writings on trade issues.

Harmonics

Regular circular harmonics in nature are often encountered in physics and engineering. Consider a point moving with constant speed in a circle of radius r.
The movement of the projection back and forth along the horizontal axis is described as simple harmonic motion. The parameters of the function are as follows:
r is amplitude
ω is the angular velocity or frequency
θ is the phase displacement
In order to induce fractal behavior for this model, only a very small variation is needed on any of the parameters which will induce unpredictable transformations over a number of iterations.

                                      

Irregular circular harmonics that become fractals can be reasonably model as seasonal fluctuation in terms of trigonometrical functions; but it is difficult to model cycles such as trade or economic activity of irregular cycles without applying better mathematical tools. It seems that something other than a perfectly regular sinusoidal component is required to model the secular fluctuations of economic activity which are described as business cycles.
To obtain a model for a cyclic fluctuation, it should be enough to modify the harmonic cycle by superimposing a disturbance term which affects the amplitude. However, in order to generate a cycle that is more affected by randomness the model should include both phase and amplitude disturbance.
A good example of irregular circular motion is the differential angular velocity on the wheels of turning car or the erratic rotation of water wheel with different sizes water buckets which generates the” chaotic wheel” known as the fractal “Lorenz attractor”.   

Endowments among countries are the basis for the Heckscher-Ohlin( 1949)model that relies on differences in factors of production endowments as the fundament for trade. It has been argued that world output would increase when the principle of comparative advantage is applied by countries to determine what goods and services they should specialize in producing.  Trade among core and peripheral countries can be visualized with this graph generated with Pajek 4G


Modern gravity theory and gravity models  since its original formulation by Jan Tinbergen ( 1962), gravity has long been one of the most successful empirical models in economics. (Princeton University Press) explains it as trade patterns and trade flows that have the tendency  of the positive attractiveness between two national economies based on economic size-- (in a similar fashion as planets attracting each other based on their mass)-- and the 'economic distance' between two economies. The stability of the gravity equation and its ability to explain bilateral trade flows led to the development of theories that could incorporate the model.  The gravity model is now seen at the workhorse of trade theory, and especially in terms of forecasting the impact of changes in trade policy on trade costs.
Gravity models begin with Newton’s law for the gravitational force between two objects i and j. In equation form, this is expressed as:    
Where the gravitational force is directly proportional to the masses of the objects (Mi and Mj)
and indirectly proportional to the distance between them (Dij).


Monopolistic competition among economies. According to influential US economist Paul Krugman, (1979) “New Trade Theory” states that the current continual application of new technology by global manufacturers to produce in large scale and very cheaply can compete in similar markets and export surpluses. Essentially, the model predicts that once a national economy achieves manufacturing in an economy of scale of some particular product, this economy will tend to trade with countries of similar development in what Paul Krugman describes with his linear model C = F + cX, which he calls “Monopolistically Competitive Models” in globalized economies of scale.

.
Recent research shows that when trade opens up, it is followed by adjustment not only between industries, but within them as well.

Module manufacturing leverages  and Integrates managing global supply chains, transferring production flexibly to emerging markets, refocusing on higher-value-added activities, and forming new pockets of low-cost expertise. These actions will permit to refocus t resources and capabilities on higher-value activities, thereby contributing to the further specialization of the industry’s value chain. Meanwhile, these two companies have been actively transferring some of their manufacturing activities to emerging markets for cheaper labor and also as consumers of the products, i.e.  Boeing-Aviation.

                                                    
Historical Development of Sea Commerce
According to historian Glenn Markoe, the Phoenicians established a maritime tradition, and the technology to build ships with a keeled hull which allowed them to sail the open seas resulting in a tradition that established sea trade.
The navigation of the Phoenicians was limited to coastal waters as a cautious and timid approach to the early years of commerce. It follows that the Phoenicians for a long time confined their navigation within the limits of the Mediterranean, the Propontis, and the Euxine, seas, which are far less rough than the open ocean. As they gain navigational experience with their vessels, no bigger than a fishing smack, the Phoenicians proceeded southwards along the West African coast, as far as Gambia and Senegal, while on the northern sided they braved the heavy seas of the Bay of Biscay, on the coast of Spain moreover, passing Cape Finisterre, these adventurer sailors went across the mouth of the English Channel to the Cassiterides.
Historians often refer to Henry the Navigator, prince of Portugal, as the initiator of the first great enterprise of the ‘Age of Discovery’—the search for a sea route east by south to Cathay. The Spanish galleon and the- caravels favored by pirates because of its speed and agility on the water—were the ships used by the explorers in the ‘Age of Discovery’. The Spanish embarked in long-distance maritime travels in search of alternative trade routes to "the East Indies” moved by the trade of gold, silver and spices.
In “The Golden Age of Sail” David Ross, (2013) describes it as  a period in which international trade and naval warfare were dominated by sailing ships, lasting from the 16th to the mid-19th century in the  European "Age of Sail" international trade and naval warfare were both dominated by sailing ships.
In the 20th century, the internal combustion engine and gas turbine came to replace the steam engine in most ship applications.
As ships evolved and merchants gain trade experience everyone foresaw the advantage of having trade agreements. The first international free trade agreement, the Cobden-Chevalier Treaty, was finalized in 1860 between the United Kingdom and France, prepared by Richard Cobden and Michel Chevalier; it sparks off successive agreements between other countries in Europe.

Trade Agreements after WW II

In 1946 the Bretton Woods system went into effect; it had been in the works since 1944 as an international economic structure to prevent further depressions and wars. In 1947, 23 countries agree to the General Agreement on Tariffs and Trade to rationalize trade among the nations.
For the first time there was a codified form of rules and principles that imposed some obligations on states in the conduct of their monetary affairs. Given that money had always been a symbol of political power, the incursion of Bretton Woods into state sovereignty was considerable as quoted from John Maynard Keynes the principal doctrinaire economist of the agreement.


List of International Trade Agreements active in 2016

African, Caribbean, and Pacific Group of States (ACP Group)
Andean Community of Nations (CAN)
Arab Cooperation Council (ACC)
A Black Sea Economic Cooperation Zone (BSEC)
Asia-Pacific Economic Cooperation (APEC)
Caribbean Community and Common Market (Caricom)
European Free Trade Association (EFTA)
North American Free Trade Agreement (NAFTA)





Shipping Insurance and Risk. Historical Perspective

Historians have traced the earliest instances of insurance to the Babylonian period circa 2250 BC, when they developed a type of loan insurance for maritime business. Examples can be found in the Code of Hammurabi 1750 B.C.E.  It formalizes the concepts of “bottomry” and “respondentia” (protection against loss of hull and cargo, respectively) – the link pins of maritime insurance.
Historian, Mark Cartwright, states that the ancient Athenian maritime loan advanced money for voyages with repayment being cancelled if the ship was lost. Ships sank, ran afoul of piracy, suffered delays due to weather, or arrived to find that prices of the goods they were carrying had unexpectedly drop in value. The practice and use of the maritime loan persisted until the thirteenth century in the Italian city - states of Genoa and Venice.
Shipwreck by storm or poor navigation was common while ships and their cargoes were constantly in danger of being seized by pirates or corrupt officials, or made to pay exorbitant tolls for safe passage.
In the late 1600s seafarers, merchants and insurers meet at the Edward Lloyd’s Coffee House for insurance business and coffee. (Lloyd’s of London, history of insurance).
The term “underwriting” is today synonymous with Lloyd’s contracts specified the premium with explicit sensitive to distance, route, season, and type of ship, as well as hostilities or piracy. Premiums were generally arrived at by bargaining for either ship or cargo coverage. Moral hazard encouraged captains to deliberate shipwreck to collect the insurance. One method of transaction that was particularly common was–the advance purchase–that combined a forward transaction with the extension of credit. (American Association of Law Libraries)


Trade Routes Between 1400-1800



Source: Hofstra University





REFERENCES
Markoe, Glenn Peoples of the Past: Phoenicians (Berkeley: University of California Press, (2000)

Thomas Chaney, Working Paper 19285 NATIONAL BUREAU OF ECONOMIC RESEARCH
THE GRAVITY EQUATION IN INTERNATIONAL TRADE (2013)

Peters, E Fractal Market Hypothesis, Wiley Finance. (1991).

Tinbergen J, Shaping the World Economy. Twentieth Century Fund, New York.
THE GRAVITY EQUATION IN INTERNATIONAL TRADE (1962)

J. Orlin Grabbe, Three Essays in International Finance, Dept. of Economics, Harvard University, (1981).

 B. B. Mandelbrot: The Fractal Geometry of Nature (1975)’

Markoe, Glenn Peoples of the Past: Phoenicians (Berkeley: University of California Press, (2000)

W .H. Freedman and Company, ISBN 0-1767-1186-9, (1983)

 K. Falconer: Fractal Geometry, Mathematical Foundations and Application, John Wiley & Sons (1990).

Vicsek: Fractal Growth Phenomena, Second Edition World Scientific Publishing Co. (1999).

S. F. Edwards, M. Schwartz: Exact differential equations for diffusion limited aggregation, (1996).

T. A. Witten, L. M. Sander: Diffusion-Limited Aggregation, a Kinetic Critical Phenomenon, (1981).

P. Meakin: Diffusion-controlled cluster formation in 2–6-dimensional space, Iterated Function Systems, Iterative method convergence and divergence. (1996)

John Maynard Keynes Collected Writings, London, vol. 26, p. 101, 22 July (1944)

Mark Cartwright. Trade in Ancient Greece. Ancient History Encyclopedia (2012).

Time Series and Forecasting. www.mcgrawhill.ca/college/lind . 2016




Monday, October 10, 2016

Transportation Models and Theories (Part Two)

By Alfonso Llanes
October 10, 2016
Abstract

Different transportation theories were covered in part one of these papers,  therefore, part two will propose a new theory based on “waterways corridor” method to analyze freight rates and how these freight rates can be established by carriers. The principle proposed here is based on routing traffic through ocean, air, or ground corridors each with a “toll” at each segment the route either from the applicable international water corridors or the domestic traffic lanes to a final destination. This paper focus on ocean freight only and will derive a corresponding equation based on the “tolling” of traffic corridors and the fact that all carriers must use the same trade lanes. This argument can be reduced to a numerical expression with two parameters: Knowns and unknowns where every ship entering the trade corridor has a “toll” known factor of distance-cost no matter what the size of the ship is. It follows that domestic sea-lanes are the next “toll” to be added which is also a known quantity, so, the remaining unknowns are the variable quantities of canal crossings and destination seaboard ports-costs. Therefore, this argument simplifies the equation to the problem of finding the marginal cost with one dependent and one independent variable based on the following facts:

1.       Ocean routes have an established transit time or “toll” for all carriers.
2.       Sea Lanes have an established transit time or “toll” for all carriers.
3.       Straits have an established transit time or “toll” for all carriers.
4.       Canals have variable costs according to the size of the ship.

5.       Ports in the coastal waterways have variable costs according to the size of the ship.

Graphic depiction  of waterways, geographic obstacles and location of ”tolls” to navigation.


Photo-depiction of geographic elements of water passages and port terminals feeds.



However, this model can only be used to solve individual rates per unit of cargo. It follows that a second model is needed to exact a proportional assessment of port costs or canal crossings for varying ship sizes and whether this proportion varies directly or inversely with a new ship size. The advantage of this analysis is that technical innovation of ships can be included in a proportional matrix and a scalar.
Economic pricing theory is based on the equilibrium price calculated when supply and demand is in balance. This price does not exist in actual trading processes except in special and rare cases; it is only an ideal or theoretical price level, which at best is only approximated in the real world.
The Principle of "Charge What the Traffic Can Bear” tell us that freight rates for different commodities are determined on the basis of the capacity of an individual commodity to bear the burden of freight.
In formal economic terms, the law of diminishing marginal returns states that as the number of new inputs, the marginal product of an additional input will at some point be less than the marginal product of the previous input. Neoclassical economists assume that each "unit" of input is identical. Diminishing returns are due to the disruption of the entire productive process as additional inputs are added to a fixed amount of capital. (Same size port and facilities but more ships to attend)
David Hummels, Georg Schaur  (2012) argue that delays to shipping navigation of one day in transit or port is equivalent to an ad-valorem tariff of 0.6 to 2.3 percent. They continue with the comparison of transportation cost-benefit analysis between airplanes for fast time-sensitive- delivery and the slower but larger weight ships can carry as components of trade.
They provide the following relationships in the comparison between Air Premium Value =fa −fo = (1+air charge/air value)-(1+vessel charge/vessel value). Air Premium Weight =ga/go = (air charge/air weight)/ (vessel charge/vessel weight).
One concern for carriers is whether  regulatory incentives will continue to encourage individual owners to invest in modernization of the fleets, however, older ships need to be demolished or else it would lead to increases in global capacity, clogging ports of origin-destination and putting downward pressure on freight and charter rates.

Strategies for hybrid-transportation and tactics for leaning inventories.

A number of techniques corresponding to this shift have emerged such as consolidation of merchandise along shared routes.  Shippers are also finding ways to consolidate in multi product containers, pallets, or cartons to optimize capacity utilization. Finally, finding and evaluating alternative modes of transportation by using intermodal rail services, instead of canal crossings or trucking services, for long-haul freight for instance, going across the US or Canada by rail rather than the Panama Canal.
Surface carriers on the other hand, are focusing more on critical mass costing, marginal costs delivery patterns, time of day mileage user fees and the various ratios size-weight, time-distance and tracking costs by either GPS tolling or cellphone text communication where available.

Many developing countries mainly in Africa and Oceania, pay 40-60% more on average for international transport of imported goods than developed countries do. The main reasons for this situation are to be found in these regions’ trade imbalances, pending port and trade facilities legal reform, as well as lower trade volumes and shipping to/from connectivity. Legislators in these countries could partly help the situation with investments in infrastructure and legal framework reforms, especially, in shipping systems and Customs’ clearance and administrations.
On many shipping routes, especially for most bulk cargoes, ships sail full in one direction and return almost empty as round trip freight is charge to the shipper. Having spare capacity, carriers can offer backhaul cargoes at a much lower freight rate than front haul rates. For instance, freight rates from China to North America are higher than on back haul for North American exports to China.

UNCTAD analysts estimate that global seaborne shipments have increased by 3.4 per cent in 2014 which is the same rate as in 2013. These volumes exceeded 300 million tons bringing the total of maritime trade to 9.84 billion tons per year. The total seaborne capacity at the beginning of the year for the commercial fleet consisted of 89,464 vessels, with a total tonnage of 1.75 billion dwt.
The distribution of percentage by product is as follows:


Greece still is the largest ship-owning-country, next to Japan, China, Germany and Singapore.
Together, the top five ship-owning countries control more than 50% of the world tonnage.
Five of the top 10 ship-owning-countries are in Asia, four are European and one is from the Americas.
According to UNCTAD, Maritime Review, (2015) the container-carrying-capacity per carrier-country tripled between 2004 and 2015, but the average number of companies that provide services from/to voyages decreased by 29%. Both trends illustrate two sides of the same issue: as ships get bigger and companies’ objective is to achieve economies of scale, there are fewer remaining companies in individual markets.

CONCLUSION

The defining feature of diminishing marginal returns is that as total investment increases, the total return on investment as a proportion of the total investment (the average product or return) decreases. For example, 1 docked ship can deliver merchandise to a port that adds 1 unit of economic gain to the area.  A second ship docked would add 1.5 units and a 3rd ship would produce 1.75 units of economic gain. 
In numeric terms, the i th produce additional economic gains to the area.{\displaystyle {\frac {1}{2^{i-1}}}} 
The return from the first ship is 1 s/unit. When 2 ships dock, the return is 1.5/2 = 0.75 s/unit, and when 3 ships are docked, the return is 1.75/3 = 0.58 s/unit, as the same amount of dock space is shared by additional ships.
It follows that as dock space remains constant and more ships are added delays to unloading arise and as a consequence, a diminished marginal return occurs as the fixed dock space is being shared:


Another way to measure the best route to a port is applying Dijkstra’s algorithm in graph theory:
Finding Shortest Path with Dijkstra’s Algorithm
Initial Condition

Probing For Shortest Route




Transportation modeling in general, was formalized by French mathematician Gaspard Monge in 1781. Since then many others have contributed to the theory and its economic implications. Below is the original formalized expression by Monge.
It corresponds to finding an optimal matching between the source points and the target points from
R---R² in Euclidean space. Russian Leonid Kantorovich improved on Monge’s model 150 years later by introducing his duality principle in set theory.  The informal way of interpreting Kantorovich and his duality principle is explained by Caffarelli as:
A shipper needs to move and pay for a certain amount of sand c(x; y) which is transported from place x to place y. Both the amount of excavated sand and the amount of sand pile are equal and at fixed points of origin-destination.
Kantorovich expanded this model by liberalizing the origin-destination and transportation of the sand without regard to order. Where the cost of loading ϕ(x) of one ton of sand at place x, and a cost ψ(y) for unloading it at destination y will be the same no matter the order the loads are taken or delivered in the given space R---R².

In 1965 Lotfi A. Zadeh introduced the idea of Fuzzy Sets but it wasn’t until Hans-Jiirgen, Zimmermann in 1985 introduced the application of fuzzy logic to many human endeavors including transportation. In the three decades since its inception, the theory has matured into a wide range of concepts and techniques for dealing with complex phenomena that do not lend themselves to analysis by classical methods based on probability theory and” fuzzy” logic. This novel idea is opposed to the principle of a conventional sets for which an element is either a member of the set or not as 0 or 1. A fuzzy set can be anywhere between 0 and 1 or what is called approximate reasoning and also, where probability theory plays a major role in the distribution values between 0 and 1.

Source: Applied Mathematical Sciences, Vol. 6, 2012, no. 11, 525 – 532

This mathematical modeling applied to transportation can be structured applying fuzzy logic to common crisp numerical methods as regression analysis, matrices, probability, and statistics and so on. In simple terms, fuzzy values are to be found between and within a given range in a closed interval for a given set, i.e., 1000 freight rates. It follows that we can get the constant of proportionality k in a boundary of values in a 6 month period-interval if we assign a value for  at time 0 and then solve for a separable differential equation in a closed interval. i.e., at


REFERENCES


David Hummels, Georg Schaur January 2012, TIME AS A TRADE BARRIER. NATIONAL BUREAU OF ECONOMIC RESEARCH .Cambridge, MA 02138.

Krugman, Paul(1991) 'Increasing returns and economic geography'.  Journal of Political Economy Vol. 99, No. 3 (Jun., 1991), pp. 483–99.

C. Broda and D. Weinstein. 2006. "Globalization and the Gains from Variety,"
Quarterly Journal of Economics, Volume 121, Issue 2

Eaton, Jonathan and Samuel Kortum. 2002. "Technology, Geography, and
Trade." Econometrica, 70 (September): 1741-1779.

Lugovskyy, V. and Skiba, A., 2009. "Quality Choice: Effects of Trade, Transportation Cost, and Relative Country Size,"

Berthelon, Matias and Freund, Caroline L., "On the Conservation of Distance in International Trade" (May 6, 2004). World Bank Policy Research Working Paper No. 3293.

Gilman, Sidney (1983), The Competitive Dynamics of Container Shipping, University of Liverpool Marine
Transport Center.

Harley, C. Knick, (1988) “Ocean Freight Rates and Productivity, 1740-1913: The Primacy of Mechanical Invention Reaffirmed”, Journal of Economic History, 48, 851-876.

Mohammed, Saif I. and Jeffrey G. Williamson. "Freight Rates And Productivity Gains In British Tramp Shipping 1869-1950," Explorations in Economic History, 2004, v41(2,Apr), 172-203.

Combes, P., Lafourcade, M. (2002) Transport costs, geography, and regional inequalities. 2894, C.E.P.R. Discussion Papers.

Oyama, T., Taguchi, A. (1991) On some results of the shortest path counting problem. Abstracts of the OR Society Meeting (Kitakyushu): 102-103.

UNCTAD (2015) Review of maritime transport. United Nations Conference on Trade and Development,
Geneva.

Pedrycz, W. [1989] . Fuzzy Control and Fuzzy Systems. New York, Chichester, Toronto .

Hadi Basirzadeh . An Approach for Solving Fuzzy Transportation Problem (2011) Shahid Chamran University Ahvaz, Iran.



Friday, September 2, 2016

Transportation Models and Theories (Part One)

By Alfonso Llanes
September 1, 2016
Abstract

In order to accommodate all concerning materials and still keep this paper length-readable it is made available in two parts.
Freight rates in nodal format based on origin-destination published by carriers; leave out minor ports in the network.  Using a minimal approach of 50 nodal points to cover the entire world, carriers can reduce the number of individual rates to (50)²= 2,500 for each service type that can easily be kept and updated in a data base thus, avoiding storage and updates of millions of rates. It fallows that with this recipe, carriers can use algorithms for covering the ports in the network not included in the nodes. The balancing act relies in developing an algorithm that works across all service types within the 50 nodes. For instance, if 4 service types are considered it would render 4*2,500= 10,000 rates with all its attributes.
Even though this method can work for carriers, how does a freight broker keep track of all the possible combinations of routes and rates? How does a manufacturer find out about a particular freight rate before committing to a production-delivery contract? The list goes on to include traders, bankers, governments and individuals who need to know freight rates as accurately as possible in any part of the world in the age of the Internet with instantaneous response for a management board in session?

Introduction

Over the years many methods, theories and models have been introduced by many researchers in various fields of study such as economic geography, transportation economics, economics, theoretical dynamic system analysis and fractals applied to transportation studies. This paper makes a collection of many of the methods and models developed by academics.  The most prevalent models will be cited here with the intent of making the reader familiar with the contribution made over the years by many scholars. This paper will introduce a model developed by the Barcelona Field Studies adapted to fit an ocean transportation model and conclude with a new model proposed by the author of this paper as a contribution to the field. The narrative of the adapted Barcelona model will be derived from Dijkstra’s algorithm.  By constructing Dijkstra’s “closest neighbor” algorithm and the Barcelona “alternative nearest neighbor” a new model can be developed.


Distance and density variables functions model

Elvira Kurmanalieva in her paper Transport Costs in International Trade, 2006 writes about a transport density that can be “broadly interpreted as an efficiency of transportation network and infrastructure”.  In her paper she states that inspiration came from the “shortest-path-problem” Adding that the number of shortest paths between two countries is an approximate estimation of transport density and therefore, the model is estimated as a function of distance and density variables.

FOB/CIF model ratio

This model is used by the International Monetary Fund----“If something is being transported from two international markets then the FOB and CIF prices must differ only by transport costs between one country and another wherein CIF-FOB equals the transport factor”. The problem with this approach is that it depends on shipper’s declaration of value and Custom entry form that more often than not, are not accurate. As a result a unit percent [(CIF/FOB)]-1*100% is only an academic exercise if declared and entry values are not dependable.

Iceberg Theory

The Iceberg Theory (Samuelson 1952) bases the cost of shipping on a relative price rather than relative quantity. In the words of David Hummels traditional “iceberg” formulation, transport is treated as an exogenous friction (r) that is fixed and proportional to the value shipped, with the value‐added of transportation services treated as pure waste, or “melt”.   Krugman-- (1991a, 1991b) formulation of the iceberg transport of costs is: T (d) = erd economic geography where d= distance and r = is the melt.

Static theory

This theory treats shipping markets as a static mechanism where a system of variables must link together supply and demand into balance. According to Hofstra University this model represent a well-functioning transport markets where supply meets transport demand.  Most theories, which were dedicated in market’s equilibrium, come from this static notion about shipping economy. A “stochastic process” is a random process changing with time. Directly, in probability theory, a stochastic process is a time-sequence representing the progression of some system characterized by a variable that varies as a subject of a random difference.

 Additive and multiplicative trade costs theory

In 2011 Alfonso Irarrazabal, Andreas Moxnes, and Luca David Opromolla published a paper that introduces the idea of additive costs as a constant monetary cost per unit which departs from Samuelson’s framework. This model incorporates variable trade costs as comprising both a multiplicative (iceberg) and an additive part. Multiplicative costs are defined as a constant percentage of the producer price per unit traded.  With data collected from Norwegian Customs these authors built a model of international trade with heterogeneous firms.

Time in transit theory

Kiyoyasu Tanaka 2010. Tanaka concentrates his argument around the issue of tradeoff between freight- cost-time and timely delivery to build this model. Using the Japanese Census of Logistics, his paper examines the cost influence of distance and time across shipping modes.  Tanaka states that he found the results “puzzling because business enterprises are likely to pay more for shout-distance shipments by truck, ship and railroad transportation”.  Tanaka’s statement is in itself puzzling because the effect of
short distances on rates as per-mile freight rates tend to decline with distance as the ratio decreases.

Effect of distance on rates.

System Dynamics Theory

In 2010 M. Jurčević, F. Mitrović, M. Nadrljanski introduced the concept of System dynamics and Theory of Chaos in Freight Rate Forming in Shipping with significant fractal characteristic  as self-resemblance. Fractal organization is already known in literature. The biggest impediment to the building blocks of a system is not an engineering problem but a managerial one. That is because management must deal with social issues which are harder to understand and administer.  Jay W. Forrester, 1992 and the history of system dynamics In the logistics and supply chain context between fractals and feedback models examines a simple reinforcing and balancing loop in a system.  
These collections of theories should give the reader a good idea of the different approaches that have been tried over the years.
 At this juncture we need to retake the narrative of the adapted Barcelona model and the derivation of the Dijkstra’s algorithm.  It follows that the graphic/photo representation of these ideas will provide a better understanding of “closest neighbor” algorithm the description and the Barcelona “alternative nearest neighbor” as new models.
Below is an example of a generic system of origin-destinations nodes and its geographic structure for world coverage constructed with 48 nodes or (48)²= 2,304 combinations.



The “alternative nearest neighbor” used by the Barcelona Field Studies applied to forest distribution studies can also be applied to transportation nodes for we already know the distribution of ports around the world.
This algorithm measures the distributions according to whether they are clustered, random or regular. The nearest neighbor formula will produce the following distribution patterns from a continuum:

   The formula used by the Barcelona Field Studies is as follows:


Methodology
1. Select an area using random points in a quadrant. This should be sufficient to obtain a minimum number of points with the corresponding values.
2. Measuring the coordinate’s distance of each point within the quadrant to its nearest neighbor and assigning a corresponding value based on the statistical average distribution of points and values.
The following alternate model of the “nearest neighbor” is measured from Adak to the destination port of the Vladivostok, Russia quadrant using Google Earth. This particular port is chosen because is not located in the node for Russia, for the country has three different water outlets: The Baltic Sea, the Black Sea and its Eastern Seaboard where these ports need to be calculated independently from the Russian node in the western part of the country. In this case, neither the bound Barcelona method nor the Dijkstra’s are favored over other closest neighbor techniques available. Either technique can be placed on a graph and be analyzed with discrete mathematics.


REFERENCES
Samuelson, P. A., 1952. "The Transfer Problem and Transport Costs: The Terms of Trade When Impediments are Absent," The Economic Journal, Vol. 62, No.246 (Jun., 1952), pp. 278-304.
Irarrazabal, Alfonso Moxnes, Andreas Opromolla, Luca David(2010). The Tip of the Iceberg: Modeling Trade Costs and Implications for Intra-Industry Reallocation.
Engelen, S., Meersman, H., Van der Voorde, E.: Using system dynamics in maritime economics Maritime Policy Management, 33 (2), 2006.
Abbas, K.A., and Bell, M.G.H. (1994). System dynamics applicability to transportation modeling.
Randers, J. and Göluke, U. (2007) Forecasting turning points in shipping freight rates: lessons from
30 years of practical effort. System Dynamics Review Vol. 23, No. 2/3, (Summer/Fall 2007): 253–284.
Aizenman, Joshua (2004), ‘Endogeneous pricing to market and financing cost’, Journal of Monetary Economics 51(4), 691–712.
Evans, Carolyn and Harrigan James (2005), “Distance, Time, and Specialization” American Economic
Review.

Barcelona Field Studies Center