STATISTICAL ASSESSMENT OF THE ROLE OF THE NATIONAL TOURISM INDUSTRY IN THE ECONOMY OF UZBEKISTAN

This article describes the role of tourism in the national economy, the factors influencing its development, improving the quality of services, issues and directions of statistical assessment of economic development in tourism. KEYWORDS: tourism, quality of services, diversification, sanatoriums, recreation organizations, tourism infrastructure, tourism products, industry competitiveness

Toward a ‘New Normal’? Tourist Preferences Impact on Hospitality Industry Competitiveness

The recent outbreak of novel coronavirus (Covid-19) has led to a global panic due to its fatal nature which has harshly impacted the tourist sector and on the place reputation in general. This study aims to compare the factors that develop tourist preferences in terms of (i) what drives the favorability of tourist preferences? (ii) what relationship exists between tourist expectations, proximity, and favorable reputation? and (iii) what are the main influences of tourist preferences on hospitality system competitiveness pre and post Covid-19? By employing structural equation modeling, this study advances knowledge into the research variables’ relationships and advances reputation and marketing performance and practices in the hospitality industry.

Energy Efficiency and Carbon Emission Impact on Competitiveness in the European Energy Intensive Industries

Climate change and efforts to mitigate it have given rise to an interest in the relationship between industry competitiveness, energy efficiency, and carbon emissions. A better understanding of this relationship can be essential for economic and environmental decision-makers. This paper presents empirical research evaluating industry competitiveness through the factors of energy efficiency and carbon emission in Europe’s most energy-intensive industries. The designed industry competitiveness measure index consists of seven components, grouped into three equally weighted sub-indexes: export performance, energy, and environmental. The export performance of the industry is described by the industry export growth rate, the share of the industry’s export, and the effects on the industry’s competitiveness of changes in a country’s export. The energy intensity of the industry and energy prices are integrated into the energy sub-index. The environmental sub-index consists of the industry’s emissions intensity, and the ratio of freely allocated allowances and verified emissions indicators. The findings indicate that countries with the highest index value also have a positive energy intensity and carbon emission indicator value. The average index value of each industry gradually reduces to zero, and the standard deviation of the index value shows a diminishing trend throughout all sectors, which implies that competitiveness in all sectors is increasing and that all countries are nearing the industry average. The ANOVA results show that: (1) the competitiveness index value was statistically significantly different in the investigated countries; (2) the competitiveness index value was statistically non-significantly different in the investigated industries; (3) there was a significant effect of the interaction between country and industry on the competitiveness index value. These results suggest that the country itself and industry/country interaction significantly affect the competitiveness index. However, it should be mentioned that industry per se does not substantially affect the competitiveness index score.

Competitiveness Evaluation of Manufacturing Industry based on Weighted Grey Correlation

Manufacturing industry is playing an important role in social and economic system,while it is “big but not strong” that is more prominent in developing regions. In order to upgrade manufacturing industry, competitiveness evaluation of manufacturing industry is studied based on weighted grey correlation using analytical hierarchy process and grey correlation analysis.First, statistical data concerned withmanufacturing industry competitiveness are summarized and compared in six developing regions. Then, an evaluation system of manufacturing industrycovering 22 indicators is constructed from economics, scale, R&D and ecology points of view. Furthermore, by using weighted grey correlation which is combined with analytic hierarchy process and grey correlation analysis methods, a simulation approach considering uncertainty on weight and identification coefficient is developed to make a more reliable assessment. Finally, on the basis of the models and approaches, an empirical study on manufacturing industry competitiveness is carried out and simulation results show that this novel approach can provide information and insights for competitiveness evaluation.

Quality of service as a factor of forming competitiveness in cruise tourism

The article highlights the development trends of the cruise industry as a promising direction of tourism industry, which shows steady growth over the past ten years. The aim of the article is to determine the current trends in the cruise market development in modern conditions and the levers for competitive tourist offer formation, taking into account the key principles of behavioral and impression economy. Using the methods of analysis and synthesis made it possible to generalize the competitive advantages of cruise tourism in accordance with modern development trends in the context of an inclusive economy of impressions. The factors of competitiveness formation in cruise tourism are highlighted and the importance of service quality as a determining factor for meeting the needs of tourists is substantiated, which affects the overall satisfaction of tourists and their choice in the future. A number of factors that have a significant influence on the competitiveness formation in cruise tourism are considered. The generally accepted factors that have a significant influence on the cruise industry competitiveness and their relationship with the basic principles of impression economy are analyzed. The interrelation of offer differentiation taking into account the individual subjectivity of the consumer is substantiated. It was proven, that marketing, innovation and service quality are elements of brand image formation and vital elements in a commercial environment and key factors for success in the cruise business sector. The emphasis is made on the importance of service component in the cruise industry competitiveness formation. Recommendations for identifying effective mechanisms for determining the degree of customer satisfaction are formulated. Key groups of quality indicators of cruise services which can influence the general satisfaction of tourists are proposed. The expediency of conducting a survey and questioning of cruise passengers in order to further improve the quality of cruise tourism services to increase the company’s competitiveness is substantiated.

The Analysis of Marketing Strategy to Improve the Competitive Positioningof the Craft Industry in Gorontalo

This research analyzes the mapping of the potential marketing strategy to improve the competitive positioning of craft industries in Gorontalo and elucidates the appropriate marketing strategy to improve their competitive positioning. This research applied a descriptive quantitative approach in mapping the problems and designing the appropriate strategy. Also, an analytical hierarchy process was conducted to examine underlying factors to develop the craft industries. The result of the analysis shows that in addition to products, promotion, prices, and processes occupy a significant role in enhancing the industry competitiveness.

An Empirical Study on the Coupling Coordination Relationship between Cultural Tourism Industry Competitiveness and Tourism Flow

The case study for this analysis is Henan province in China, where sustainability is a central issue for tourism development due to the area’s enormous and unexploited potential for cultural tourism. We construct a cultural tourism industry competitiveness evaluation index from cultural resource competitiveness, economic development support competitiveness, ecological environment competitiveness and basic guarantee competitiveness, and also construct a tourism flow evaluation index from tourist flow, consumption flow and effect flow. For this study, we then adopt an Entropy-TOPSIS and Coupling Coordination model to analyze the characteristics of coupling and coordinated development of them from 2009 to 2019. The empirical results show that (1) the comprehensive development index of cultural tourism industry competitiveness and tourism flow exhibits a fluctuating rise trend and maintains good development momentum; and (2) the coupling coordination degree between the cultural tourism industry competitiveness and tourism flow in Henan Province as a whole is gradually improving and the coupling coordination level developed from extreme disorder to grudging coordination, but it is unpromising in some parts of cities. Some recommendations are provided to promote the coupling and coordinated development of cultural tourism industry competitiveness and tourism flow for cities.

Grey Correlation Analysis of Economic Growth and Cultural Industry Competitiveness

The influence of cultural industry competitiveness on economic growth is analyzed by using grey relational degree method. Then, the influence of cultural industry on the three industries is analyzed and compared in the same way. On this basis, further from the cultural industry, the impacts of core layer, outer layer, and related layer on economic growth were compared and analyzed. Finally, the economic growth model is used to measure the impact of investment, labor, and innovation in cultural industry on economic growth. The results show that cultural industry has a great influence on economic growth. The cultural industry has an obvious driving effect on the tertiary industry. The correlative layer of cultural industry has the greatest influence on economic growth. Cultural industry innovation has a huge pulling effect on economic growth. The SPSS software was used to process the data, and the data indicators were screened. Finally, the grey relational degree model was constructed. Then, the improved diamond model was used to select the influential factors of the development of cultural industry, and the main influencing factors were found out through the grey relational degree analysis. This paper analyzes the factors affecting economic benefits and puts forward countermeasures. The results show that it is of great significance to pay attention to the development of cultural manufacturing industry in cultural industry and promote cultural innovation to promote economic growth.