Financial Institute in Tashkent group cmm-59


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“Ilk qadam” davlat o‘quv dasturi, Nazariy mexanika K-1

Financial Institute in Tashkent
group CMM-59


KARIMOVA NAZIRA

Social interaction and tourist boom

As a branch of economics, consumer economics is a broad field, principally concerning the microeconomic analysis of behavior in terms of consumers, families, or individuals. Regarding the influencing factors of consumer tourism demand identified in related academic sources, the most used explanatory variables are the following: tourists' regular income; tourism prices at a destination compared with those at home; tourism prices in competing destinations (i.e., substitute prices); and exchange rates. These factors are also the most important determinants of tourism demand. The explanatory variables included in previous tourism demand models have varied enormously according to the researcher's objectives and background. In addition to such conventional factors as personal income, prominent variables used to explain consumer tourism demand are related to social interaction and tourism scenario, for example, travel companions, traffic congestion, and type of tourist attraction. In this paper, the theoretical cornerstone is Becker's social interaction theory. That illustrates how consumers maximize their tourism utility subject to constraints on their social income. In the framework of this paper, we introduce the factors of social interaction and tourism scenario: we emphasize the effect of those two factors on tourism demand. We then provide a number of hypotheses based on theoretical analysis. These hypotheses state that tourism demand falls as the importance of social interaction rise - seven when the consumer is monetarily compensated for the effect of higher prices. Further, as the tourism scenario deteriorates, tourism demand will decrease, shifting the demand curve lower at all possible prices. Golden Week has become an important phenomenon in China and is an excellent case for discussion and research. Since its establishment on October 1, 1999, the Golden Week holiday system has significantly boosted domestic demand, stimulated consumption, and promoted large-scale economic growth. It has also produced a major expansion in long-distance travel. However, there is evidence that this holiday system has led to many social problems, which pose obstacles for sustainable tourism development. Many experts have concluded that China's existing holiday policies need to be reformed, and the Golden Week holiday system has emerged as the most urgent priority. Previous tourism demand modeling and forecasting research has relied heavily on secondary data in terms of model construction and estimation. In this paper, we conducted a questionnaire survey on tourism demand during Spring Festival Golden Week in 2014 and obtained firsthand data. Econometric analysis has empirical usefulness in interpreting tourism demand from an economist's perspective; it is able to support policy recommendations and evaluate the effectiveness of existing tourism policies. In this paper, we place particular emphasis on empirical tests of the hypotheses we developed about tourism demand. The econometric technique we employed is the ordered choice model. We discuss our empirical method together with our empirical findings. We found that individual economic factors had a slight impact on tourism demand in Spring Festival Golden Week; however, such social interaction factors as family structure and appropriate companions significantly affected tourism demand. We observed that although tourists may tolerate traffic congestion and market chaos, a serious imbalance between supply and demand and related issues had a remarkable effect on tourism demand in Spring Festival Golden Week. These findings verify our initial hypotheses presented in the theoretical framework. This study demonstrates the usefulness of frame analysis to describe, analyze, and explain the dynamics of tourism demand in terms of both social interaction and tourism scenario. We found theoretical analysis based on social interaction to be a viable approach for examining tourism demand, thereby adding a new research direction to the existing literature. Based on a detailed analysis of these findings, this paper provides policy suggestions..
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