Modeling determinants of tourism demand in Colombia

López, Juan Gabriel Vanegas; Valencia, Marisol; Morales, Jorge Aníbal Restrepo; Muñeton, Guberney

doi:10.20867/thm.26.1.4

Cited by 8 publications

(6 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In our statistical modelling, we also control for possible confounding variables, such as geographical (contiguity and sharing the same continent) and cultural proximity (sharing a common language). These variables, included as symmetric binary matrices, may affect both the migration [ 32 , 33 ] and tourism [ 34 – 36 ] inflows as well as the initial COVID-19 spread [ 27 ]. All variables included in the ERGM models are real-world country-level network data.…”

Section: Introductionmentioning

confidence: 99%

The impact of human mobility networks on the global spread of COVID-19

Hancean

Slavinec

Perc

2020

Journal of Complex Networks

View full text Add to dashboard Cite

Human mobility networks are crucial for a better understanding and controlling the spread of epidemics. Here, we study the impact of human mobility networks on the COVID-19 onset in 203 different countries. We use exponential random graph models to perform an analysis of the country-to-country global spread of COVID-19. We find that most countries had similar levels of virus spreading, with only a few acting as the main global transmitters. Our evidence suggests that migration and tourism inflows increase the probability of COVID-19 case importations while controlling for contiguity, continent co-location and sharing a language. Moreover, we find that air flights were the dominant mode of transportation while male and returning travellers were the main carriers. In conclusion, a mix of mobility and geography factors predicts the COVID-19 global transmission from one country to another. These findings have implications for non-pharmaceutical public health interventions and the management of transborder human circulation.

show abstract

Section: Introductionmentioning

confidence: 99%

The impact of human mobility networks on the global spread of COVID-19

Hancean

Slavinec

Perc

2020

Journal of Complex Networks

View full text Add to dashboard Cite

show abstract

“…However, there are some new contradictions and problems that need to be solved. e regional economic management system of the development zone is not a sound legal system, the government's functional authority is not in place, preferential policies are washed out, the decentralization of government is not implemented, the approval of the hidden procedures is cumbersome, the burden of social public management, institutional settings, and establishment management is not standardized, administrative resources are wasted, talent management mechanism is not perfect, and other problems that are not conducive to development [18]. Aiming at the problems that arise in it, relevant countermeasures are put forward to enrich the relevant theories, to promote the community management level of the Economic and Technological Development Zone to a higher level.…”

Section: Design Of Regionalized Economic Management Strategymentioning

confidence: 99%

Macroeconomic Multivariate Statistics and Regionalization Management Strategy Based on Random Matrix

Tan

2022

Mathematical Problems in Engineering

View full text Add to dashboard Cite

This paper adopts the method of the random matrix to conduct an in-depth study and analysis of the management of macroeconomic multivariate statistics and regionalization, and to design its management strategy based on a random matrix. A combination of theoretical and applied research, combined with the experience of other cities, is used to study regional economic management using literature analysis, comparative analysis, and deductive induction by summarizing the results achieved in community management, studying its experience, exploring the significance of community management in ETDZs for social development, analyzing the current obstacles and contradictions affecting community management in Suqian ETDZ, and proposing relevant countermeasures for the problems arising therein to enrich the relevant theories and thus promote the level of community management in ETDZs to a higher level. Macroeconomic uncertainty refers to the changes that cannot be accurately observed, analyzed, and foreseen, i.e., the deviation of the expected value of the economy from the actual value. Not all macroeconomic fluctuations belong to the category of macroeconomic uncertainty, only unpredictable economic fluctuations are uncertain. It can be seen from the above that there is a corresponding relationship between the financial income correlation matrix and the random correlation matrix, and both are affected by the same random factors. The importance of uncertainty for macroeconomic policy making is undeniable, and its quantification is a key step. In this paper, we propose an econometric model to eliminate expectations and compare the advantages and disadvantages of different measurement models; we measure a system of fourteen macroeconomic indicators to reflect macroeconomic uncertainty and provide quantitative measurement results for the correct understanding of macroeconomic uncertainty and economic policy making. Factor analysis is used to analyze these six comprehensive aspects to obtain the six-dimensional comprehensive scores of each province and city, and the scores are normalized and visualized. Based on a certain understanding of the economic equilibrium structure of each province and city in China, and a certain control of the overall development of each region itself at this stage, the future economic development trend is studied.

show abstract

“…The number of tourists arriving will increase the tourism stock price because they will use the facility and infrastructures. [9] have studied the factors that influence tourist arrival. The elements are gross domestic product per capita of the traveler's home country, the political or security situation based on expert perception, the distance weighted between the destination country's economic center and the travelers' home country, border, language, visa, flight, inflation, and exchange rate.…”

Section: Theoretical Frameworkmentioning

confidence: 99%

“…[8] concluded that economic growth appears to support human capital. [9] show that gross domestic product (GDP) and political stability positively impact the number of tourism, meaning that the higher GDP growth and the more political stability will increase the number of tourists. However, the exchange rate negatively affects the tourist number, which means that the exchange rate fluctuation will increase the tourist flow.…”

mentioning

confidence: 99%

Factors Affect Tourism Stock Price in Indonesia

Goh,

Henry,

Toni

et al. 2022

IJCS

View full text Add to dashboard Cite

The study aims to examine which factors affect the tourism stock price more. The study uses weekly exchange rate and tourism stock prices; the inflation, interest rate, and the number of tourism use monthly data. Using descriptive statistics, correlation matrix, augmented Dickey Fuller's unit root test, VAR, the Granger causality test, and Impulse Response. The results show that all the variables in our observations have no causal relationship. Interest rates do not have a causal relationship with exchange rates, inflation, number of tourists, and tourism stock prices. The VAR models show interest rate has a negative impact on tourism stock price, exchange rate, and the number of tourists positively impacting tourism stock price. Inflation has no impact on tourism stock price. A decrease in interest rates will encourage investment to develop a business. A decrease in the IDR exchange rate against the USD will lower the product's price, so foreign tourists will feel that Indonesian goods are getting cheaper; thus, they will spend more and increase the tourism company's share price. Regulators can use the research results by lowering and maintaining the stability of interest rates, exchange rates, inflation, and increasing the number of tourists to Indonesia.

show abstract

Modeling determinants of tourism demand in Colombia

Cited by 8 publications

References 34 publications

The impact of human mobility networks on the global spread of COVID-19

The impact of human mobility networks on the global spread of COVID-19

Macroeconomic Multivariate Statistics and Regionalization Management Strategy Based on Random Matrix

Factors Affect Tourism Stock Price in Indonesia

Contact Info

Product

Resources

About