scholarly journals International demand for the Douro (Portugal) river cruises

2017 ◽  
Vol 23 (8) ◽  
pp. 1679-1686 ◽  
Author(s):  
Sofia Gouveia ◽  
João Rebelo ◽  
Lina Lourenço-Gomes ◽  
Alexandre Guedes

Cruises on the Portuguese Douro river have been growing at a much faster pace than overall outbound tourism to Portugal, suggesting that the river is part of a worldwide trend that has been organized by global cruise operators. A gravity model is used to analyse the main factors affecting the international demand for Douro river cruising over the period from 2007 to 2014. The numbers of international passengers are positively determined by income per capita of origin country and by the population size of the leading countries of outbound tourism to Portugal.

2018 ◽  
Vol 7 (1) ◽  
pp. 21-42
Author(s):  
Ely Nurhayati ◽  
Sri Hartoyo ◽  
Sri Mulatsih

Exports are an important component of the economy. The higher export performance, the greater positive impact on the economy. From 2012 to 2016, Indonesia's exports continue to decline, so Indonesia needs to boost its exports again. One of the potential commodities developed is cloves. This study analyzes the development of Indonesian clove exports by finding out the competitiveness of cloves, as well as factors affecting its exports. The methods used are RCA, EPD, X-Model, and Gravity. The results of the analysis found that an optimistic market developed is Pakistan, Germany, Italy and United State of America. Potential markets to be developed are Malaysia, Vietnam, Thailand, France and Netherlands markets. Factors affecting Indonesian clove exports are GDP per capita, export price, economic distance and tariff. Keywords: Clove, EPD, Export, Gravity Model, RCA JEL Classification: C23, F10, F13


Author(s):  
Ani Suryani

The objectives of this research are to determine factors affecting egg demand during the period of 1991 to 2007, and to examine the prospect of egg as inferior, normal or superior commodity in Sleman District. The research location is determined purposively. The method used in this research is descriptive analysis with time series data (1991-2007). This study uses demand function approach by applying multiple regression model estimated using OLS (ordinary least square).The result of estimation shows that the partial demand of egg in Sleman District is caused by the price of fish, rice, population, income per capita and economical crisis. The elasticity of egg demand toward price elasticity is inelastic in the scale of 0.59. Egg in this district is categorized as a normal goo. This conclusion is based on finding that income per capita is positively correlated toward egg demand with the coefficient of regressionof 0.36. Egg consumption at Sleman district from time to time tends to increase coinciding with the growth of income per capita.Key words : Demand, Egg, Elasticity, Forecasting, Normal Good. 


2021 ◽  
Vol 13 (15) ◽  
pp. 8304
Author(s):  
Shijie Yang ◽  
Yunjia Wang ◽  
Rongqing Han ◽  
Yong Chang ◽  
Xihua Sun

In recent years, China has overtaken the United States as the world’s largest carbon dioxide (CO2) emitter. CO2 emissions from high-energy-intensive industries account for more than three-quarters of the total industrial carbon dioxide emissions. Therefore, it is important to enhance our understanding of the main factors affecting carbon dioxide emissions in high-energy-intensive industries. In this paper, we firstly explore the main factors affecting CO2 emissions in high-energy-intensive industries, including industrial structure, per capita gross domestic product (GDP), population, technological progress and foreign direct investment. To achieve this, we rely on exploratory regression combined with the threshold criteria. Secondly, a geographically weighted regression model is employed to explore local-spatial heterogeneity, capturing the spatial variations of the regression parameters across the Chinese provinces. The results show that the growth of per capita GDP and population increases CO2 emissions; by contrast, the growth of the services sector’s share in China’s gross domestic product could cause a decrease in CO2 emissions. Effects of technological progress on CO2 emissions in high-energy-intensive industries are negative in 2007 and 2013, whereas the coefficient is positive in 2018. Throughout the study period, regression coefficients of foreign direct investment are positive. This paper provides valuable insights into the relationship between driving factors and CO2 emissions, and also gives provides empirical support for local governments to mitigate CO2 emissions.


2018 ◽  
Vol 7 (1) ◽  
pp. 21-42
Author(s):  
Ely Nurhayati ◽  
Sri Hartoyo ◽  
Sri Mulatsih

Exports are an important component of the economy. The higher export performance, the greater positive impact on the economy. From 2012 to 2016, Indonesia's exports continue to decline, so Indonesia needs to boost its exports again. One of the potential commodities developed is cloves. This study analyzes the development of Indonesian clove exports by finding out the competitiveness of cloves, as well as factors affecting its exports. The methods used are RCA, EPD, X-Model, and Gravity. The results of the analysis found that an optimistic market developed is Pakistan, Germany, Italy and United State of America. Potential markets to be developed are Malaysia, Vietnam, Thailand, France and Netherlands markets. Factors affecting Indonesian clove exports are GDP per capita, export price, economic distance and tariff. Keywords: Clove, EPD, Export, Gravity Model, RCA JEL Classification: C23, F10, F13


2017 ◽  
Vol 48 (4) ◽  
Author(s):  
AL_Jubori & AL_Badri

The Gravity Model considered one of the important models in foreign trade, because it is used to explain the most important determinants of the state export of it’s exporting goods and determine competitive state for exports of the country in world market of its exports, besides it give an idea about most important countries in exporting export goods. The study aims to determine most important factors affecting on flow of Iraqi skins to world market, and measuring influence of these factors and determine suitable model to understand most important determinants of foreign trade of Iraqi skins with most important trading partners. The study proved that per capita of GDP, quantity of commodity produced by country, quantity of commodity exports from country to global market and export price (FOB) of commodity, were the most important determinants of flow of Iraqi skins to global market, because these factors formed about (%53) of determinants of flow of Iraqi skins to global market. By analyzing the model of most important determinants of flow of Iraqi skins with most important trading partners (Jordan and UAE), the study found that the most important determinants of flow of Iraqi skins with most important trading partners were per capita of GDP representing economic size of two partners, number of population in two partners and the distance between trading capitals of them with invers sign. These factors compatible with gravity trade model between states, and these factors determine (%89) of happening changes in flow of Iraqi skins to most important trading partners.


Author(s):  
Sławomira Kańduła ◽  
Joanna Przybylska

AbstractStudies on the influence of COVID-19 on municipalities are scarce, although it was precisely municipalities that stood in the first line of combat. It is important to estimate the negative budgetary consequences of the crisis for municipalities and to detect potential patterns in the application of their anti-crisis financial instruments. Our study reveals that the initial response of Polish municipalities to the pandemic crisis in this area varied depending on their administrative type, the amount of current income per capita and the population size. However, the correlations between the applied income instruments and expenditures and the above factors were rather weak.


2020 ◽  
Vol 26 (8) ◽  
pp. 1394-1414 ◽  
Author(s):  
Recep Ulucak ◽  
Ali Gökhan Yücel ◽  
Salih Çağrı İlkay

Turkey, an emerging economy, ranked 8th among the most visited countries in the world in 2017. Given the importance of the tourism sector in Turkey, it is of utmost importance to identify the dynamics of tourism demand to achieve sustainable tourism. The aim of this article is, therefore, to explore the demand-side factors that affect the number of international tourist arrivals to Turkey. To this end, an augmented gravity model has been employed to analyze the factors affecting the number of international tourists visiting Turkey from the top 25 originating countries from 1998 to 2017. The results show that the gravity model is very effective in explaining the tourist arrivals to Turkey. Empirical findings suggest that per capita income of both origin country and Turkey, relative exchange rate, and globalization positively affect the demand for tourism, while it is negatively affected by consumer price index, violence/terrorism, household debt level, and bilateral distance between Turkey and the origin country.


2011 ◽  
Vol 27 (3) ◽  
pp. 1097-1103
Author(s):  
A. Cividini ◽  
D. Kompan

In Slovenia low and medium production systems are prevalent in sheep breeding. The rearing technology depends on a large number of factors. The main factors affecting the choice of rearing technology are sheep breed, local conditions, season of mating and weaning time. In the present study the rearing technology in sheep breeding was analyzed. This analysis included the results of 293 questionnaires from sheep breeders of autochthonous Jezersko-Solcava and Improved Jezersko-Solcava breed. Data were subjected to the frequency analysis, using the FREQ procedure of the SAS Statistical Software (1990). The population size in the flocks of these breeders was mostly from 5 to 50 animals (73.3%). The lambing system is year-round (80%) and seasonal (7.5%). The wanted litter size of 47% of breeders is just one live born lamb. Breeders weaned their lambs at 60-90 days of age or even later. Lambs stayed with their mothers almost till the end of lactation (16-20 weeks) or till the sale to the market when they weighted 30-35 kg. Early spring and summer born lambs stayed with their mothers on the pastures with no supplement. Winter born lambs stayed with their mothers in the stable, fed by hay and supplement (cereals or commercial concentrate). The rearing technology used by Slovenian sheep breeders is sustainable and gives the opportunity for conservation of autochthonous breeds in the original environment.


TRIKONOMIKA ◽  
2013 ◽  
Vol 12 (1) ◽  
pp. 20 ◽  
Author(s):  
Marlina Banne Lembang ◽  
Yulius Pratomo

The objective of this study is to examine factors affecting Indonesia’s rubber export performance to Indonesia’s 15 main trading partners after the implementation of ACFTA. This research employs Bergstrand Gravity Model (1985) using 105 observation for 15 countries from 2004 to 2010. Then, the gravity model is estimated by applying random effects (RE) model. The results show that, first, GDP per capita of Indonesia’s main trading partners have significantly positive impact on export. Surprisingly, distance has significantly positive effect on Indonesia’s rubber export. Further, Indonesia’s rubber major export destinations are the member of ACFTA, i.e. China and Singapore. Last, some of the non member countries are still potential to be Indonesia’s rubber market. Therefore, the Government of Indonesia should increase trading with them.


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