A Study on Urban Tourism Competitiveness of Henan Province

According to the principle of science, system, pertinency and hierarchy, combining the availability of the evaluation data, this paper establishes the urban competitiveness evaluation system, analyzes the tourism competitiveness of 18 regions in Henan province with the method of factor analysis and puts forward the related suggestions for improving the competitiveness

A case study on tourism spatial pattern and its influencing factors from the perspective of real and virtual tourism economic at county scale in Yellow River Economic Belt

Based on the index of tourism Baidu search volume and total tourism income of 667 research units at county scale in Yellow River Economic Belt, this paper uses spatial classification, exploratory analysis of spatial data, nuclear density estimation and other methods to compare and analyze the spatial pattern of county tourism economy in the Yellow River Economic Belt, and then uses the geographical detector model to analyze the influencing factors. The results are drawn as follows. Firstly, from the perspective of spatial distribution pattern, the imbalance of the overall tourism economy is obvious, and the spatial pattern shows a “one big, three small” four core agglomeration pattern. Secondly, from the perspective of spatial correlation pattern, significant HH and LL areas are dominant whether virtual economy or a real economy, and spatial agglomeration effect is obvious. Real economic significant HH areas mainly distribute in the tourism economic developed areas of Shaanxi and Shandong, while real economic significant LL areas are mainly concentrated in the middle and east of Inner Mongolia, the south of Shanxi, most of Qinghai and the north of Ningxia, and scattered in Henan, Gansu and other places. Compared with the entity level, the HH areas of the virtual economy are significantly expanded, mainly distributing in Shandong, Shaanxi and the eastern part of Inner Mongolia. The number of significant LL areas is significantly increased and the distribution range has changed, and the distribution scope of low-value cluster areas mainly distributes in most areas of Qinghai, south and north of Shanxi, and sporadically distributes in Gansu. From the perspective of nuclear density, the spatial structure of virtual and real economy is similar, and the high-value counties mainly distribute in Shandong, Henan and Shanxi forming a high-value gathering area expanding into a core development area. It is worth noting that the virtual economy scope in the north of Shaanxi and the northeast of Inner Mongolia has formed many sub-cores, which indicates that the level of virtual economy in the region is rapidly rising. Finally, according to the results of the Geo-detector model and the coupling matching analysis model, we found the real economy is mainly affected by the resources support level. We also found virtual economy is mainly affected by the level of information technology

Development assessment of leisure agriculture in Henan province of China based on SWOT-AHP method

Purpose: The development of leisure agriculture is an important means of agricultural industry structure adjustment of Henan province, China, to realize the transition from traditional agriculture to modern agriculture. Design/methodology/approach: The SWOT (Strength, Weakness, Opportunity, Threat) analysis of Henan leisure agriculture will contribute to the sustainable development of Henan leisure agriculture. The strength, weakness, opportunity and threat of developing leisure agriculture in Henan province were systematically analyzed using SWOT method in our study. The aspects including location, resources, traffic, population, economy, urbanization, industrialization, market, policy, capital, product, technology, management, marketing and environment were involved. The strength, weakness, opportunity and threat were quantified in this study using AHP (Analytic Hierarchy Process) method. Findings and Originality/value: The result showed that the total strength and total opportunity of Henan leisure agriculture are much greater than that of total weakness and total threat, which suggests that the opportunities outweigh threats, and advantage outweigh disadvantage. The growth-oriented strategy combining the external opportunities and its own advantages shall be employed in development of Henan leisure agriculture as indicated by the strategy strength coefficient in strategy quadrangle we have constructed. The barriers to the development need to be overcome while strengthening competitive advantages. Originality/value: New ideas for working out the developmental strategy for Henan leisure agriculture is provided by SWOT-AHP method.Peer Reviewe

A Dynamic Shift-Share Analysis on the China’s R&D: A Structure Analysis

To evaluate the R&D development in China, we can inspect both the R&D expenditure and the research talent pool. In this paper, we analyze the structure of the researcher groups by using dynamic shift-share analysis (DSSA). The DSSA results show that there is still much room to improve in the structure of research group. The provinces/municipalities from eastern China did not perform well in engineering and education researcher groups while the provinces/municipalities from central and western China perform well in engineering, agriculture and education researcher groups. We suggest that the government planners should implement more effective measures to improve the structure of the researcher groups in order to spend the R&D fund wisely and attract more extra fund in R&D

Geographical index of concentration as an indicator of the spatial distribution of tourist attractions in Belgrade

The spatial structure of tourist attractions can be presented both qualitatively and quantitatively. One of the indicators of the spatial structure of tourism is the index of geographical concentration of tourist attractions. The geographical concentration of tourist attractions represents the ratio of the number of tourist attractions in the observed area and its structural parts and the total number of structural units of the analyzed area. This paper aims to determine the spatial distribution of attractions in the administrative territories of Belgrade municipalities and to establish correlations with tourist attendance. The number and spatial distribution of accommodation capacities are the largest in the central city municipalities so that the number of visitors is the largest in them. At the same time, the central city municipalities have the highest concentration of tourist attractions. For data collection, the authors used field research, OSM (Open Street Maps), Google maps, with software processing ArcGIS 10.2. The research results enabled the definition of the model of distribution of tourist attractions and indicated its application. This model of distribution of tourist attractions shows that they are mostly concentrated in the city center. This also means a small spatial connection of tourist attractions in the city center and peripheral parts

Evaluation system of urban smart tourism competitiveness based on AHP-entropy weight method

In order to quantitatively evaluate the competitiveness of smart tourism cities efficiently and reasonably, a smart tourism city competitiveness evaluation system composed of four primary indicators such as infrastructure, economic basis, scientific and technological basis and environmental basis and 15 secondary indicators such as the number of mobile phone users at the end of the year and the number of urban Internet users is constructed, which is comprehensively weighted by hierarchical analysis method and entropy weight method. The empirical case of competitiveness evaluation of 13 cities in Jiangsu Province shows that the evaluation system can quantitatively evaluate the competitiveness of urban smart tourism comprehensively and objectively. The main factors affecting the competitiveness of urban smart tourism are urban infrastructure construction and economic foundation. Increasing investment in 5G, artificial intelligence and other information technology and enhancing urban economic strength are the key strategies to improve the competitiveness of urban tourism

The Temporal and Spatial Evolution of Marathons in China from 2010 to 2018

The purpose of this study is to explore the spatial distribution pattern and influencing factors of the Chinese marathon. Geographic Information System (GIS) related spatial analysis tools were used to calculate the following: averaged nearest neighbor index, nuclear density analysis, and hot spot analysis amongst others. The spatial distribution evolution characteristics & influencing factors of 18 Chinese marathon events in year 2010, 129 in year 2015 and 342 in year 2018 were analyzed. The results show that: (a) In year 2010 Nearest neighbor ratio was 1.164714, Moran’s I was −0.010165 (type: Random), year 2015 was 0.502146, Moran’s I was 0.066267 (type: Clustered), and year 2018 was 0.531149, Moran’s I was 0.083485 (type: Clustered) ; (b) In year 2010 there was a 333.6 km search radius, The core circle of the Yangtze River Delta was adopted. In 2015 and 2018, the search radius of 556 km was adopted, which was respectively obtained from the core circle of the Yangtze River Delta, the core circle of Beijing-Tianjin-Hebei and the core circle of East China; (c) According to the Z value data, East China and North China in 2015 passed 95% of the confidence in 5 provinces and municipal hot spots, passed 90% of the confidence in 3 hot spots, and passed 95% of the confidence in Chongqing Cold Point. In 2018, East China, North China, Central Region and other eight provinces and cities hot spots passed 95% of the confidence, 4 hot spots passed 90% of the confidence, Tibet Autonomous Region cold spot passed 90% of the confidence. Conclusion: The overall distribution of marathon events is greater in the eastern region than the western region, greater in the southern region than the northern region, and greater in coastal regions than the inland regions; the nuclear density distribution has spread from the Yangtze River Delta mononuclear circle in 2010 to the core circle of the entire East China region. Moreover, it spread to North China, Central China, and South China; the distribution of hot spots spread from Shanghai, Jiangsu, and Zhejiang to the entire North China and East China regions. During the past 38 years of development of the Chinese marathon, it has been divided into three stages due to different political, economic and social environments

Tourism Flows Prediction based on an Improved Grey GM(1,1) Model

AbstractThis study analyzes the factors affecting the tourist flow. These factors include tourism resources, traffic conditions and so on. In recent years, the grey forecasting model has achieved good prediction accuracy with limited data and has been widely used in various research fields. However, the grey forecasting model still have some potential problems that need to be improved, such as applicate range and prediction accuracy. It is found that original data and background value are main factors affecting the accuracy of the proposed model's application. To solve these problems, this study develops a optimization model for the GM(1,1) model problem which includes optimization of initial and background values. In order to reduce errors caused by back-ground values, the “new information prior using” principle is followed, and a liner function is dopted in the construe of background. Numerical examples verified that the simulation and prediction accuracy of the short-term forcasts is significantly increased. As a result, the newly improved model yields a high prediction capability

Brands and Branding: An Analysis of the Evolutionary Development of Baijiu Industry Clusters in China

Research into industry clusters and brands and branding has emerged and developed in the Western world for decades. In China, the Reform and Opening up policy adopted since the late 1970s, has resulted in impressive economic growth around economic clusters, including some manufacturing processing industries, and some industries related to high-technology, and traditional industries (i.e. agricultural and Baijiu products). This thesis aims to contribute to the academic and political understanding of these issues through exploring the emergence, agglomeration and development of Chinese alcoholic beverage/Baijiu industry clusters. Inspired by theories of industry clusters, and brands and branding, this thesis proposes to find out and understand the development of Chinese industry clusters formations and their branding strategies, especially in a traditional industry sector. These ideas are described and analysed through a qualitative-oriented fieldwork investigation in seven industry clusters within three Chinese prefecture-level cities, namely, Luzhou, Yibin and Zunyi.From a theoretical perspective, industry clusters and brands and branding theories/strategies are not separate from, but are associated with, each other. Brands and branding strategies are not only marketing concepts but also have diverse meanings from economic, social, ecological, political and cultural perspectives. With the characteristics of geographical entanglements (Pike, 2009b), dynamic network frames and creative activity, the brands and branding strategies are geographically linked to multi-layer industry clusters. This makes it possible to identify industry clusters from brands and branding insights, especially in this global world. The concepts of brands and branding, and industry clusters, and the relationship between them form one part of the thesis’s contributions. In addition, evolutionary economic geography theory is useful to explore industry clusters, which has been utilised to explain the brands and branding of Chinese Baijiu regional agglomeration and industry clusters.From an empirical perspective, the Chinese Baijiu industry’s clusters, brands and branding strategies can be analysed from four aspects, namely, price and some intangible brand value factors; ecological and environmental elements; the Baijiu organisational structure of the production, circulation, and consumption; and the policies and regulations of regional agglomerations and industry clusters. Price is a tangible brand value factor which differentiates Chinese Baijiu commodity with multi-level prices. Enterprise structures and scales help form the Baijiu industry cluster formations as well; natural-related elements of environment/ecology include water, grains, human activities and cultural and historical backgrounds, which explain the meanings of origins, and influence the regional agglomerations of Chinese Baijiu; societal consumption and investment extend industrial chains of Chinese Baijiu and drive its agglomeration and dispersion; multi-layer governmental policies and regulations force and impede the emergence and development of Chinese Baijiu industry clusters. Regional agglomerations provide spatial backgrounds for Chinese Baijiu industry clusters. Drawing upon this, seven Chinese Baijiu industry clusters are identified and their evolutionary developments are explored: Chinese Baijiu Golden Triangle Baijiu Industry Development Zone, Sichuan Luzhou Baijiu Industry Park, Guojiao 1573 Square, Renhuai Economic Development Zones (including three functional parks: National Baijiu Industrial Park, Renhuai Famous Baijiu Industrial Park, and Tanchang Modern Service Park), Wuliangye Group, Jiudu Yibin · Wuliangye Culture Features Street and Qionglai Basic Baijiu Production Zone. Driven by the branding strategies of both enterprises and government policy guidelines, these seven Chinese Baijiu industry clusters show a development characteristic of enterprises/products branding–industry cluster branding–place/province branding.Furthermore, more detailed brand identification, industry clusters and global value chains, and globalisation and branding strategies all provide future research possibilities for Chinese Baijiu industry. This thesis still has its limitations, which may need more quantitative methods to measure and examine the formation and development of Chinese Baijiu industry. Basically, this thesis also offers potential research connecting to other Chinese agricultural industries, manufacturing industries and tourism industries

The Relationship Between Urban Community Collaborative Governance and Building Resilience Cities in Zhengzhou City, Henan Province, China

Purpose: This study explores the impact of urban community collaborative governance on building resilience cities.   Theoretical framework: The Synergistic Governance Theory (SGT) was applied in this study.   Design/Methodology/Approach: The population of this study is the community of Zhengzhou City, Henan Province, China. The unit of analysis is individuals living in the community of Zhengzhou City. Through random sampling method, 384 community residents were selected to participate in the research. This study used a questionnaire survey method to obtain primary data for analysis.   Findings: The results of the study show that (1) there is a significant positive correlation between government regulation, corporate capabilities, social organization involvement and building resilience cities. (2) Strengthening government regulation, corporate capabilities, and social organization involvement can effectively strengthen urban community collaborative governance, which is beneficial to building resilience cities. Thus, it is favorable to building Resilience Cities.   Research, Practical & Social implications: This research will be useful in creating a new model of urban community governance that will enhance the ability of cities to cope with disasters and achieve the goal of building resilient cities. A multifaceted and collaborative urban community governance model will be developed by strengthening the collaboration of the three groups - government, corporations, and social organizations，in order to ensure that the collaborative urban community governance model promotes the city's ability to cope with disasters, thereby enhancing the city's resilience. Enhancing urban resilience can fundamentally improve residents' ability to cope with the potential risks that persist in cities, thereby resolving social conflicts and satisfying people's pursuit of a better life.   Originality/Value: This study presents an innovative form of urban community management model that provides valuable insights on the impact of collaborative urban community governance models on resilient city buildings