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Evaluation of tourism competitiveness and mechanisms of spatial differentiation in Xinjiang, China
Evaluation of tourism competitiveness is useful for measuring the level of regional tourism development. It is of great importance to understand the advantages and disadvantages of tourism development correctly and formulate corresponding development strategies. To investigate tourism competitiveness, this paper established an evaluation index system, including tourism development competitiveness, tourism resource competitiveness, and tourism-support competitiveness, for 14 prefectures and cities in Xinjiang in China. The characteristics and laws of spatial differentiation were analyzed. Factor analysis was applied to examine the spatial differentiation of regional tourism competitiveness. The results showed an obvious spatial differentiation in tourism competitiveness among the 14 prefectures and cities. In terms of development competitiveness, Yili and Urumqi constituted the spatial center, followed by Changji, Altay, and Ba Prefecture. As the provincial capital, Urumqi has political, economic, cultural, transportation, and geographic advantages, but its competitiveness is not prominent in terms of monopoly and efficiency. In terms of resource competitiveness, Yili is the core attraction, while Urumqi, Kashgar, Altay, and Ba Prefecture are dominant attractions. With respect to supporting competitiveness, Bo Prefecture has high value, followed by Urumqi City and Aksu. Hetian and Ke Prefecture have the lowest values. The comprehensive competitiveness of tourism is centered on Yili. Urumqi and Bo Prefecture are subcenters, and Changji, Altay, Ba Prefecture, Aksu, and Kashgar are characterized as multi-polar competition areas. Using the KMO and Bartlett’s sphericity tests, the cumulative contribution variance of the eigenvalues of the eight factors extracted by the maximum variance rotation method was found to be 92.714%. Socio-economic conditions, tourism resources, infrastructure construction, regional cultural influence, ecological environment carrying capacity, tertiary industry development, tourism service level, and living security system are the main driving factors affecting the spatial differentiation of tourism competitiveness in Xinjiang. Analyzing the spatial evolution characteristics and the driving factors of the regional tourism competitiveness in Xinjiang, this paper seeks to promote the optimal allocation of tourism production factors in the macro regional system, and provide theoretical guidance and an empirical basis for the comprehensive and harmonic development of regional tourism.
Journal Article
Examination of the spatial-temporal evolution and level measurement of industrial green manufacturing development: A case study of the Yangtze River Economic Belt
With the increasingly serious problems of global climate change and resource tension, green manufacturing has become an important direction of industrial development. This paper constructs an evaluation index system for the development level of industrial green manufacturing based on the panel data of 11 provinces in the Yangtze River Economic Belt from 2018 to 2022, and utilizes the Entropy-GRA-TOPSIS method, the natural breakpoint classification method, Theil index, and Moran’s I to explore the development level, spatiotemporal characteristics, regional differences, and spatial correlation of industrial green manufacturing in the Yangtze River Economic Belt, and puts forward the corresponding suggestions. The results show that: the development level of industrial green manufacturing in the Yangtze River Economic Belt shows an upward trend, with an average annual growth rate of 5%, but there are large regional differences, showing a development pattern of “strong in the east and weak in the west”; the regional spatial differences continue to expand, but shrink in 2022, and the overall differences among the three major regions mainly originate from the inter-regional differences, with the central region having the largest differences and contribution rate, and the central region having the largest differences and contribution rate, and the central region having the largest differences and contribution rate. The overall differences among the three regions mainly come from inter-regional differences, with the central region having the largest differences and contribution rate, and the intra-regional differences and contribution rate also showing a fluctuating growth trend; the green development of industry in the Yangtze River Economic Belt shows a significant positive spatial correlation in general, with the HH-type mostly in the eastern provinces and cities, and the LL-type mostly in the central and western provinces and cities.
Journal Article
The sustainable enterprise fieldbook : building new bridges
With deep thought and inspiring examples, this updated book engages readers by increasing their understanding and awareness of what sustainability means conceptually, practically, personally, and professionally. It provides readers with the tools and techniques to improve the social, environmental, and economic performance of their organizations in both the short and long term. Since sustainability is not achieved in a siloed environment, everyone has a critical role to play on this journey.
Book
Role of scientific and technological innovations on industrial upgradation in China: A spatial econometric analysis
China is in a phase of high-quality development, where scientific and technological innovations are serving as the primary driving force for its development strategy. This emphasis on innovations is expected to fuel the upgrading of the industrial structure. This study investigates the role of scientific and technological innovations in industrial upgradation in China using spatial econometric analysis. Leveraging the data of 31 provinces of China from 2005 to 2022, we employed a spatial Durbin model to determine the spatial spillover effects of scientific and technological innovations on industrial upgradation. Our findings reveal the significant positive spatial spillover effects, indicating that provinces with higher levels of scientific and technological innovations tend to experience greater industrial upgradation, which in turn contributes to regional economic development. Furthermore, the findings suggest a strong spatial correlation between innovation and the upgrading of industrial structures, indicating that regional innovations have the potential to drive China’s industrial upgradation. These results underscore the critical role of scientific and technological innovations in promoting industrial upgradation and regional development in China.
Journal Article
Innovation in real places : strategies for prosperity in an unforgiving world
\"Across the world, cities and regions have wasted trillions of dollars on blindly copying the Silicon Valley model of growth creation. We have lived with this system for decades, and the result is clear: a small number of regions and cities at the top of the high-tech industry but many more fighting a losing battle to retain economic dynamism. But, as this books details, there are other models for innovation-based growth that don't rely on a flourishing high-tech industry. It argues that the purveyors of the dominant ideas on innovation have a feeble understanding of the big picture on global production and innovation. They conflate innovation with invention and suffer from techno-fetishism. In their devotion to start-ups, they refuse to admit that the real obstacle to growth for most cities is the overwhelming power of the real hubs, which siphon up vast amounts of talent and money. Communities waste time, money, and energy pursuing this road to nowhere. Instead Breznitz proposes that communities focus on where they fit within the four stages in the global production process. Success lies in understanding the changed structure of the global system of production and then using those insights to enable communities to recognize their own advantages, which in turn allows to them to foster surprising forms of specialized innovation. All localities have certain advantages relative to at least one stage of the global production process, and the trick is in recognizing it\"-- Provided by publisher.
Book
An analysis of the driving forces behind the Yangtze River Delta (YRD) region’s high-quality growth in the digital creative industries
The digital creative sector has grown enormously on a global scale as a result of the digital age’s fast progress. The development and transformation of the regional financial system in China is largely due to the efforts of the digital innovation industry. Hence, a comprehensive examination of the catalysts at the back of its premium boom is fundamental. The Yangtze River Delta (Abbreviation YRD) area is a powerful group of Chinese cities, well-known for its economic impact, the basis of its urbanization, and its total potential. It also offers some advantages related to the digital creative sector. The YRD area’s digital creative industries are growing, and this research looks at what’s behind that development. Through the compilation and analysis of surface-level data, the research focused on identifying the key drivers influencing the industry’s high-quality advancement. This is achieved by assessing the digital creative industries of the YRD and determining the elements that facilitate their continued growth and superior development using ArcMap10.8 and the entropy-weight-TOPSIS approach. This approach supports the assessment and ranking of the variables impacting the expansion of the digital creative industries in the YRD region. The findings demonstrate that: 1) The YRD region’s performance in developing a high-quality digital creative industry is improving between 2017 and 2022; 2) According to an assessment of growth in this sector, Jiangsu and Zhejiang provinces have excelled, while Shanghai and Anhui provinces have lagged in developing digital creative industries over the past six years; 3) Anhui and Zhejiang provinces had the greatest outcomes, according to an annual study of the YRD digital creative industries conducted between 2017 and 2022. The digital creative sector in Zhejiang Province has performed well, showing a consistent growing trend; in contrast, Shanghai City’s industry has seen a decrease; while Anhui and Jiangsu Provinces have shown generally stable, slightly increasing tendencies; 4) In the weighting analysis of the indicators, the number of strategic emerging industry project transactions (C10), the total income of radio and television business units (C13), the number of ordinary undergraduate and specialist graduates of ordinary schools (C18), the area of land for public facilities (C24), and the regional gross domestic product (C12) are five indicators of significant impact on the development of the degree of influence.
Journal Article
Time-varying causality relationships between trade openness, technological innovation, industrialization, financial development, and carbon emissions in Thailand
Over the last twenty years, there has been swift growth in industrialization and technological advancements, driving economic progress. Nevertheless, it is inevitable that these sectors will bring about environmental shifts. Thus far, endeavors have been undertaken to assess the influence of industrialization and technological advancements on environmental deterioration. Additionally, the extensive discussion surrounding the impact of financial development, trade openness, and technological innovation on the environment has not yielded conclusive empirical findings. Studies often operate under the assumption of symmetric relationships, potentially leading to biased results. Adding to the discussion on the drivers of carbon neutrality, the time-dependent effects of critical aspects such as financial development and technological innovation should inform meaningful policies for environmental management. This article explores the time-varying causal association between trade openness, industrialization, financial development, technological innovation, and CO2 emissions in Thailand using novel time-varying Granger causality tests. The time-varying causality outcomes demonstrate that the associations change significantly over time, in contrast to the results of Toda-Yamamoto causality. Overall, there exists a bidirectional relationship between industrialization, financial development, trade openness, technological innovation, and CO2 emissions over different time sequences. These outcomes have implications for both policy and research.
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