scholarly journals ANALISIS FAKTOR YANG MEMPENGARUHI KUNJUNGAN WISATAWAN MANCA NEGARA KE INDONESIA

2020 ◽  
Vol 5 (1) ◽  
Author(s):  
Wawan Hermawan
Keyword(s):  
Price Index ◽  
Income Elasticity ◽  
Trade Openness ◽  
Consumer Price Index ◽  
Important Variable ◽  
Real Effective Exchange Rate ◽  
Annual Number ◽  
Important Indicator ◽  
Tourism Sector ◽  
Per Capita

The tourism sector is a sector that can be relied on to earn foreign exchange.Revenue from tourism showed significant progress and continues to grow, so bringa high impact on the Indonesian economy. Number of tourists visiting foreigncountries is an important indicator for the growth of tourism sector in Indonesia isrelated to the increase in foreign exchange. Increase or decrease of tourist arrivals isinfluenced both by internal factors such as the condition of tourist destinations inIndonesia, politics and security in Indonesia or external factors such as the economic conditions of the various countries of origin of foreign tourists. This study uses panel data with the annual number of tourist arrivals from a number of countries to Indonesia for 19 years as the dependent variable. The independent variable of this research is RGDPP (Real GDP Per Capita), RREER (Relative Real Effective Exchange Rate), TCPI (Indicative Ratio of Consumer Price Index), Population, CPITUNIS (Consumer Price Index Tunisia), TO (Trade Openness). The results of this study indicate that tourist arrivals to Indonesia is heavily influenced by the distance from their home country to destinations in Indonesia. This variable is the biggest variable affecting the arrival of foreign tourists to Indonesia. Income per capita is the second largest variable and has a coefficient  close to unity, so that the income elasticity of country of origin is an important variable to be considered.

Dynamics of tourism demand in Turkey: Panel data analysis using gravity model

2020 ◽  
Vol 26 (8) ◽  
pp. 1394-1414 ◽  
Author(s):  
Recep Ulucak ◽  
Ali Gökhan Yücel ◽  
Salih Çağrı İlkay
Keyword(s):  
Gravity Model ◽  
Price Index ◽  
Panel Data Analysis ◽  
Consumer Price Index ◽  
Tourism Demand ◽  
Factors Affecting ◽  
Tourism Sector ◽  
International Tourist ◽  
The World ◽  
Per Capita

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.

scholarly journals Kontribusi Jumlah Pengunjung Obyek Wisata Dataran Tinggi Dieng Bagi Pendapatan Asli Daerah Kabupaten Wonosobo

2019 ◽  
Vol 2 (2) ◽  
pp. 26-33
Author(s):  
Andryan Setyadharma ◽  
Adi Kurniawan Sujatmiko
Keyword(s):  
Price Index ◽  
Statistical Tests ◽  
Consumer Price Index ◽  
Secondary Data ◽  
Variable Number ◽  
Analytical Tool ◽  
Short Term ◽  
The Real ◽  
Local Revenue ◽  
Tourism Sector

increasing regional revenue. For a region with limited potential of its’ natural resources it will be a challenge in an attempt to maximize the potential of the region. One of the effort to maximize the regional revenue is by optimizing potential in the tourism sector. Types of data in this research are secondary data such as tourist numbers, consumer price index, General Allocation Grant, and Local Revenue of Wonosobo Regency. The analytical tool is multiple regression analysis with statistical tests and classical assumption. This research aimed to understand the effect of the number of visits tourist, consumer price index, and General Allocation Grant against the Local Revenue of Wonosobo Regency from 2015 to 2017. The results of the regression processing of short-term models show that the consumer price index variable has a significant effect on Regional Original Income with a probability value of 0.0090 smaller than the real level α = 5%. While the variable number of visitors and General Allocation Funds did not have a significant effect on Regional Original Income with a probability value greater than the real level α = 5%.

Cluster Analysis of the Chrysalis Silk Production Provinces in China

2013 ◽  
Vol 796 ◽  
pp. 323-326
Author(s):  
Huan Wang ◽  
Ting Ting Tao ◽  
Wan Chun Fei
Keyword(s):  
Principal Components ◽  
Clustering Analysis ◽  
Structural Adjustment ◽  
Price Index ◽  
Consumer Price Index ◽  
Principal Component ◽  
Original Data ◽  
Basic Reference ◽  
Per Capita ◽  
Production Areas

In this article, the yield of mulberry cocoon, the output of raw silk, the output of silk fabric, the consumer price index, the GDP per capita and the per capita income from 1999 to 2011 were analyzed for their principal components on the major production areas of cocoon and silk in China. The principal component analysis can ensure the smallest loss of the original data, to replace the multi-variables with a few synthetic variables, to simplify the data structure, and objectively determine the weights. The distances and similarities between provincial principal components, which were regarded as multivariable time series, were analyzed and computed, and clustering analysis were carried out. The result can be used as a basic reference for the industrial configuration and structural adjustment of silk in China.

scholarly journals IMPACT OF REMITTANCES ON PRIVATE SECTOR CREDIT IN THE PACIFIC ISLAND COUNTRIES

2020 ◽  
Vol 23 ◽  
pp. 13-32 ◽  
Author(s):  
Hong Chen ◽  
Shamal Chand ◽  
Baljeet Singh
Keyword(s):  
Developing Countries ◽  
Private Sector ◽  
Price Index ◽  
Consumer Price Index ◽  
Institutional Quality ◽  
Pacific Island ◽  
Capita Gross Domestic Product ◽  
Bank Branches ◽  
The Pacific ◽  
Per Capita

We examine the effect of remittances on private sector credit in the Pacific Islandcountries (PICs) using the data from 58 developing countries from 2004 to 2016. Theanalysis provides strong evidence that the effect of remittance inflows on privatesector credit for PICs is positive and higher than that for other developing countries.In addition, the per capita gross domestic product, official development assistance,the number of bank branches, and institutional quality are also positively associatedwith private sector credit in PICs, while the Consumer Price Index is negativelyassociated with private sector credit. These results have important implications for thedevelopment of financial sector in PICs.

scholarly journals Modeling and Forecasting of Socio-Economic Development of the Region

2018 ◽  
pp. 404-410
Keyword(s):  
Economic Development ◽  
Pair Correlation ◽  
Consumer Price Index ◽  
Correlation Coefficients ◽  
Analysis Data ◽  
Annual Number ◽  
Modeling And Forecasting ◽  
Socio Economic Development ◽  
Per Capita ◽  
Average Annual Number

The article is devoted to the modeling and forecasting of socio-economic development of the region. The dependence of GRP per capita of the Belgorod region on the average annual number of employed in the economy, the consolidated budget revenues, the volume of innovative works and services, the consumer price index, the industrial production index, the balanced financial result, exports was established. The analysis of the matrix of pair correlation coefficients of the selected indicators allowed to choose as the most significant explanatory variables the consolidated budget revenues and the average annual number of employees in the economy. The models of socio-economic development of the region were built. The quality of the models was evaluated. It was revealed that the most accurate is the power regression model. The forecast of further changes in GRP per capita was built on the basis of the retrospective analysis data. The method of extrapolation based on the construction of trend models for each explanatory variable was used to carry out the forecast.

scholarly journals The Influence of Foreign Direct Investment on the GDP Progression of Pakistan

2020 ◽  
Vol 4 (2) ◽  
pp. 22-33
Author(s):  
Muhammad Aslam Javed
Keyword(s):  
Foreign Direct Investment ◽  
Exchange Rate ◽  
Direct Investment ◽  
Price Index ◽  
Trade Openness ◽  
Consumer Price Index ◽  
Annual Data ◽  
Monthly Basis ◽  
Beneficiary Country ◽  
The Impact

The Foreign Direct Investment (FDI) inflows play a very important role in the economic development of the beneficiary country. The objective of this study is to check the impact of the exchange rate (and other variables like Foreign Exchange Rate, Consumer price index, Trade Openness, and Energy Imports) on foreign direct investment in Pakistan by taking annual data from the period 1999-2013 (Monthly Basis).By using Descriptive,Correlation and regression , the effect of Consumer Price Index, exchange rate, trade openness, energy imports on Foreign Direct Investment (FDI) of Pakistan.  The study guide the foreign investor and to categorize the factors, that can affect the Foreign Direct Investment (FDI), while investing in Pakistan.

Tourism-Led Growth Hypothesis and Foreign Direct Investment in ASEAN

2020 ◽  
pp. 359-384
Author(s):  
Praopan Pratoomchat
Keyword(s):  
Human Capital ◽  
Foreign Direct Investment ◽  
Direct Investment ◽  
Trade Openness ◽  
Gdp Per Capita ◽  
Tourism Sector ◽  
Per Capita ◽  
Asean Countries ◽  
Asean Economic Community ◽  
Growth Hypothesis

This study tests the relationships of visitor spending, foreign direct investment in the tourism sector, and the gross domestic product (GDP) per capita among members of the Association of Southeast Asian Nations (ASEAN) during the period of 1988 to 2011 to prove the tourism-led growth hypothesis. The results of panel regression show that tourism-led growth hypothesis is valid for the ASEAN countries. Factors determining the GDP per capita in these countries are visitor spending, foreign investment and government consumption in tourism sector, human capital and trade openness. The results from this study suggest that the governments of the ASEAN countries are able to have effective growth policies by encouraging foreign direct investment in the tourism sector and improving their human capital. Therefore, ASEAN Economic Community (AEC) which will strengthen and facilitate investment cooperation and human capital developments in the tourism sector among ASEAN countries will have a significant benefit to economic growth in the region.

Inflation Dynamics and Monetary Policy in India: A New Keynesian Phillips Curve Perspective

2019 ◽  
Vol 8 (2) ◽  
pp. 144-179 ◽  
Author(s):  
Bhavesh Salunkhe ◽  
Anuradha Patnaik
Keyword(s):  
Price Index ◽  
Phillips Curve ◽  
Consumer Price Index ◽  
Wholesale Price ◽  
New Keynesian ◽  
Real Effective Exchange Rate ◽  
Output Gap ◽  
Moderate Degree ◽  
New Keynesian Phillips Curve ◽  
Price Inflation

The present study estimates various specifications of the New Keynesian Phillips Curve (NKPC) models for India over 1996Q2 to 2017Q2 using Consumer Price Index (CPI) and Wholesale Price Index (WPI) inflation, separately. The empirical results suggest that the data support all the specifications of the Phillips curve models based on both the CPI and WPI inflations. However, the backward looking and hybrid models provide robust results for both the inflation indices. While the forward-looking behaviour dominates the CPI inflation trajectory, the backward-looking behaviour greatly influences the trajectory of WPI inflation. Also, a small-to-moderate degree of persistence is evident in both the CPI and WPI inflation. The output gap, which mainly represents the demand side pressures, turns up the major force determining both the CPI and WPI inflations. Besides the output gap, real effective exchange rate (reer), international crude oil price inflation, global non-fuel commodity price inflation and rainfall have a modest impact on the CPI and WPI inflations. JEL Classification: E12, E52, C36, C14

scholarly journals Trade War: Likely Impact on India

2020 ◽  
Vol 55 (1) ◽  
pp. 93-118
Author(s):  
Rekha Misra ◽  
Sonam Choudhry
Keyword(s):  
Price Index ◽  
Global Financial Crisis ◽  
Negative Impact ◽  
Consumer Price Index ◽  
Similarity Index ◽  
Economic Effects ◽  
Real Effective Exchange Rate ◽  
Product Price ◽  
The Us ◽  
Trade War

The global financial crisis triggered the built up of domestic pressure in some countries to introduce protectionist measures against imports. The present discussion regarding the ‘trade war’ and ‘de-globalisation’ intensified after both the US and China escalated the tariff rates on imports originating in the US and China. This study evaluates the potential economic effects of the substantial tariff hikes by these two major economies on Brazil, Russia, India, China and South Africa, particularly for India. The study adds to the existing literature on the trade war by examining potential impact on India’s exports, that is, both direct and indirect losses as well as benefits arising due to the trade war using the economic model based on the trend in trade flows, similarity index and supply chain networks using World Input-Output tables. The study uses the Vector Error Correction Model to empirically evaluate the pass-through of the tariff hike on Indian exports using bilateral real effective exchange rate (REER)-consumer price index and REER-product price index. The study finds that the US–China trade tussle may provide some opportunities in short to medium run for India as gains through trade deflection would be higher than the losses due to trade reduction. However, in the long-run, further escalation of tariffs will have negative impact at the global level. JEL Codes: F1, F62, F68

scholarly journals Analyzing the risk of entrepreneurship in tourist traffic

2018 ◽  
Vol 16 (1) ◽  
pp. 199-206 ◽  
Author(s):  
Roland Weiss ◽  
Jozef Zuzik ◽  
Erik Weiss ◽  
Slavomir Labant ◽  
Marcela Gergeľová
Keyword(s):  
Exchange Rate ◽  
Social Factors ◽  
Price Index ◽  
Consumer Price Index ◽  
Tourist Industry ◽  
Aviation Accidents ◽  
Per Capita ◽  
A Company

The contribution is aimed at developing a model of demand in tourist traffic with due regard to economic, geographical, demographical and social factors such as the GDP, Consumer Price Index, prices of trips, revenues per capita, exchange rate, etc. Important parts of this model are made up by the unpredictable negative situations that have already happened some time ago. The aim is to identify them and perform a follow-up analysis of the potential threats to a company involved in the tourist industry. Rated among those situations are terrorism, earthquakes and aviation accidents.

Sign in / Sign up

Export Citation Format

Share Document