The Spatial effects of transportation on industrial employment

This paper examines the direct and indirect impacts of transport infrastructure on industrial employment. We estimate regressions with spatial econometric methods using data from the Spanish regions for the period 1995-2008. We find that the density of motorways and the amount of port traffic (particularly general non-containerized and container traffic) are significant determinants of industrial employment in the region, while the effects of railway density and the amount of airport traffic are unclear. Our empirical analysis shows the existence of significant negative spatial spillovers for the density of motorways and levels of container port traffic while the impact of general non-containerized port traffic seems to be mainly local.

Maritime transportation in the Gulf of Finland in 2007 and in 2015

The Gulf of Finland is said to be one of the densest operated sea areas in the world. It is a shallow and economically vulnerable sea area with dense passenger and cargo traffic of which petroleum transports have a share of over 50 %. The winter conditions add to the risks of maritime traffic in the Gulf of Finland. It is widely believed that the growth of maritime transportation will continue also in the future. The Gulf of Finland is surrounded by three very different national economies with, different maritime transportation structures. Finland is a country of high GDP/per capita with a diversified economic structure. The number of ports is large and the maritime transportation consists of many types of cargoes: raw materials, industrial products, consumer goods, coal and petroleum products, and the Russian transit traffic of e.g. new cars and consumer goods. Russia is a large country with huge growth potential; in recent years, the expansion of petroleum exports has lead to a strong economic growth, which is also apparent in the growth of maritime transports. Russia has been expanding its port activities in the Gulf of Finland and it is officially aiming to transport its own imports and exports through the Russian ports in the future; now they are being transported to great extend through the Finnish, Estonian and other Baltic ports. Russia has five ports in the Gulf of Finland. Estonia has also experienced fast economic growth, but the growth has been slowing down already during the past couples of years. The size of its economy is small compared to Russia, which means the transported tonnes cannot be very massive. However, relatively large amounts of the Russian petroleum exports have been transported through the Estonian ports. The future of the Russian transit traffic in Estonia looks nevertheless uncertain and it remains to be seen how it will develop and if Estonia is able to find replacing cargoes if the Russian transit traffic will come to an end in the Estonian ports. Estonia’s own import and export consists of forestry products, metals or other raw materials and consumer goods. Estonia has many ports on the shores of the Gulf of Finland, but the port of Tallinn dominates the cargo volumes. In 2007, 263 M tonnes of cargoes were transported in the maritime traffic in the Gulf of Finland, of which the share of petroleum products was 56 %. 23 % of the cargoes were loaded or unloaded in the Finnish ports, 60 % in the Russian ports and 17 % in the Estonian ports. The largest ports were Primorsk (74.2 M tonnes) St. Petersburg (59.5 M tonnes), Tallinn (35.9 M tonnes), Sköldvik (19.8 M tonnes), Vysotsk (16.5 M tonnes) and Helsinki (13.4 M) tonnes. Approximately 53 600 ship calls were made in the ports of the Gulf of Finland. The densest traffic was found in the ports of St. Petersburg (14 651 ship calls), Helsinki (11 727 ship calls) and Tallinn (10 614 ship calls) in 2007. The transportation scenarios are usually based on the assumption that the amount of transports follows the development of the economy, although also other factors influence the development of transportation, e.g. government policy, environmental aspects, and social and behavioural trends. The relationship between the development of transportation and the economy is usually analyzed in terms of the development of GDP and trade. When the GDP grows to a certain level, especially the international transports increase because countries of high GDP produce, consume and thus transport more. An effective transportation system is also a precondition for the economic development. In this study, the following factors were taken into consideration when formulating the future scenarios: maritime transportation in the Gulf of Finland 2007, economic development, development of key industries, development of infrastructure and environmental aspects in relation to maritime transportation. The basic starting points for the three alternative scenarios were: • the slow growth scenario: economic recession • the average growth scenario: economy will recover quickly from current instability • the strong growth scenario: the most optimistic views on development will realize According to the slow growth scenario, the total tonnes for the maritime transportation in the Gulf of Finland would be 322.4 M tonnes in 2015, which would mean a growth of 23 % compared to 2007. In the average growth scenario, the total tonnes were estimated to be 431.6 M tonnes – a growth of 64 %, and in the strong growth scenario 507.2 M tonnes – a growth of 93%. These tonnes were further divided into petroleum products and other cargoes by country, into export, import and domestic traffic by country, and between the ports. For petroleum products, the share of crude oil and oil products was estimated and the number of tanker calls in 2015 was calculated for each scenario. However, the future development of maritime transportation in the GoF is dependent on so many societal and economic variables that it is not realistic to predict one exact point estimate value for the cargo tonnes for a certain scenario. Plenty of uncertainty is related both to the degree in which the scenario will come true as well as to the cause-effect relations between the different variables. For these reasons, probability distributions for each scenario were formulated by an expert group. As a result, a range for the total tonnes of each scenario was formulated and they are as follows: the slow growth scenario: 280.8 – 363 M tonnes (expectation value 322.4 M tonnes)

Optimised Utilization of Bioenergy in Poland

The aim of the study was to ford out the availability of biomasses, which are available for energy production, in Poland. Biomasses which were examined were forest residues and surplus straw. Availability was examined by 16 Polish voivodeships, which are provinces in Poland. After fording out the amounts of biomasses for energy production was examined the need of biomass in the biggest CHP plants in Poland. It was expected that all the plants uses 15 % of biomass as the fuel. In the first parts of the report are explained the legislation which effects to biomass use in energy production in EU level and in Polish level. Also the combustion methods best for biomasses are explained by examples. After this, is studied the general situation of renewable energy use in Poland and the facts about the country. In the last parts it's explained the calculations and is shown the example cases. When it was found out the needs and supply of biomass it was examined by examples how it could be transported to the plants from the producers. Also was examined costs effected, if there were logistical terminals between the producer and the end user. The estimation was done by setting prices for the biomass, and fording out average costs for producing and transporting biomass. There are a lot of surplus biomasses in Poland which could be used for energy production, and this is a one way to reach the goals that EU has set of renewable energies. But because biomasses doesn't have such a good calorific value, it isn't worth able to transport it very long distances. In the research was set the prices for producer 9€/MWh and for end user 15€/MWh, the maximum transportation distance for forest residues was 52 km and for straw 56 km. These are example estimations and it has to be remembered that there are a lot of factors that makes inaccurate. The model is really sensitive and by changing one parameter the results change a lot.

Bulletin officiel de la transportation à la Guyane

1907/11 (A1907,N11).

Bulletin officiel de la transportation à la Guyane

1911/09 (N9).

Bulletin officiel de la transportation à la Guyane

1910/12 (N12).

Bulletin officiel de la transportation à la Guyane

1890/11 (N11).

Bulletin officiel de la transportation à la Guyane

1903/01 (A1903,N1).

Bulletin officiel de la transportation à la Guyane

1912/12 (A1912,N12).

Bulletin officiel de la transportation à la Guyane

1912/07 (A1912,N7).

Bulletin officiel de la transportation à la Guyane

1907/08 (A1907,N8).

Bulletin officiel de la transportation à la Guyane

1912/11 (A1912,N11).

Bulletin officiel de la transportation à la Guyane

1911/01 (N1).

Bulletin officiel de la transportation à la Guyane

1911/05 (N5).

Bulletin officiel de la transportation à la Guyane

1912/08 (A1912,N8).