scholarly journals Spatiotemporal Difference Characteristics and Influencing Factors of Tourism Urbanization in China’s Major Tourist Cities

2021 ◽  
Vol 18 (19) ◽  
pp. 10414
Author(s):  
Xia Xie ◽  
Lei Zhang ◽  
Hui Sun ◽  
Feifei Chen ◽  
Chunshan Zhou
Keyword(s):  
Spatial Autocorrelation ◽  
Influencing Factors ◽  
Industrial Development ◽  
Tourism Industry ◽  
Three Dimensions ◽  
Ecological Environment ◽  
Upward Trend ◽  
Correlation Pattern ◽  
Resource Endowment ◽  
Tourism Urbanization

Tourism is crucial for promoting industrial development and is an important driver of China’s new type of urbanization. A tourism urbanization index system was constructed in three dimensions: the tourism industry, urbanization, and the ecological environment. The spatial–temporal differentiation characteristics and influencing factors of tourism urbanization in 35 major tourist cities in China from 2009 to 2018 were analyzed using the state space method, standard deviation ellipse, and spatial autocorrelation analysis. The results show the following. (1) Over time, the tourism industry index displays an upward trend, the urbanization index exhibits a more obvious upward trend, and the ecological environment index fluctuates strongly. Under the influence of all three factors, the tourism urbanization index shows a fluctuating rising trend. (2) Regarding the spatial distribution pattern, the development center of tourism urbanization shifts to the southeast, and the distribution direction is northeast-southwest. There is a significant agglomeration in global spatial autocorrelation. The local spatial correlation pattern is dominated by correlation characteristics and supplemented by different characteristics. (3) In terms of influencing factors, policy and regional development strategy, tourism resource endowment, economic development level, and traffic conditions are listed in descending order of influencing degree. Finally, we put forward some suggestions.

scholarly journals Spatiotemporal Differentiation of Coupling and Coordination Relationship of Tourism–Urbanization–Ecological Environment System in China’s Major Tourist Cities

2021 ◽  
Vol 13 (11) ◽  
pp. 5867
Author(s):  
Xia Xie ◽  
Hui Sun ◽  
Jun Gao ◽  
Feifei Chen ◽  
Chunshan Zhou
Keyword(s):  
Growth Rate ◽  
Tourism Industry ◽  
Evaluation Index System ◽  
Ecological Environment ◽  
Development Mode ◽  
Comprehensive Development ◽  
Tourism Urbanization ◽  
Relationship Of ◽  
Practical Implications ◽  
Coordination Degree

Determining the coupling development mode and evolution process of the tourism industry–urbanization–ecological environment system is of great significance in promoting high-quality and sustainable development of tourism and the urban economy. In this study, an evaluation index system of the tourism–urbanization–ecological environment system was established, and the spatiotemporal differentiation of the coupling and coordination relationship of the tourism–urbanization–ecological environment system was analyzed for 35 major tourist cities in China from 2009 to 2018. The results show that the comprehensive development indices of the tourism industry subsystem and urbanization subsystem of China’s major tourist cities have steadily increased. The comprehensive development indices of large-sized and medium-sized cities in the east are relatively high. From 2009 to 2018, the coordination degree and coupling degree of the tourism–urbanization–ecological environment’’ system of 35 tourist cities showed an upward trend. The growth rate of the coupling coordination degree lags behind the growth rate of the coupling degree, and the overall system coordination level is still low. There are significant differences in the coupling degree and coupling coordination degree among the eastern, central, and western cities. This study offers both theoretical and practical implications for further equalizing the development level between the cities, as well as improving the overall coordination between the tourism industry, urbanization, and the ecological environment in China.

scholarly journals Research on the coordinated development of tourism-urbanization-ecological environment——Taking Chongqing as an example

2021 ◽  
Vol 233 ◽  
pp. 01150
Author(s):  
Yang Qing ◽  
Fengtai Zhang ◽  
Jianfeng Wu ◽  
Changcheng Sun ◽  
Xingyu Yang ◽  
...  
Keyword(s):  
Capital Investment ◽  
Comprehensive Evaluation ◽  
Tourism Industry ◽  
Ecological Environment ◽  
Coordinated Development ◽  
Comprehensive Development ◽  
Enterprise Transformation ◽  
Development Levels ◽  
Environment Index ◽  
Tourism Urbanization

The article analyzes the comprehensive development levels of the three subsystems of Chongqing's tourism, urbanization and ecological environment from 2000 to 2017, and the temporal evolution characteristics of the coordinated development of the three. The results show that: (1) The comprehensive evaluation index of Chongqing's tourism industry system and urbanization system is on the rise; the comprehensive ecological environment index showed an upward trend before 2008, and fluctuated greatly after 2008. (2) The degree of coupling and coordination of the three systems in Chongqing City generally shows a transformational trend of maladjustment recession-intermediate transition-coordination improvement. In the future, Chongqing should continue to deepen institutional reforms and continue to develop new tourism markets; improve transportation, promote enterprise transformation and upgrading, implement policies for talent introduction; strengthen the construction of environmental protection talents and capital investment, and vigorously develop ecological industries

scholarly journals Coupling Coordination and Prediction Research of Tourism Industry Development and Ecological Environment in China

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Yun Yang ◽  
Rong Wang ◽  
Junlan Tan
Keyword(s):  
Entropy Method ◽  
Tourism Industry ◽  
Ecological Environment ◽  
Gray Model ◽  
Economic Policies ◽  
Upward Trend ◽  
Coordinated Development ◽  
Industry Development ◽  
Long Time ◽  
Coordination Degree

Based on the data relevant to China’s tourism industry and ecological environment from 2005 to 2018, the entropy method and the coupling coordination degree model were used to analyze the coupling degree and coupling coordination degree of the tourism industry’s development and the ecological environment, and the GM (1.1) gray model was used to predict these values in the future. The model provided predictions and illustrated the trend in the changes in the degree of coordination between the development of China’s tourism industry and the ecological environment for the next five years. The results show the following. (1) The coupling degree between China’s tourism industry and the ecological environment was between 0.3 and 0.5. It was in the low-level coupling stage in 2005 and 2006 and generally low in 2005–2009, lower than the average level of 0.4204. In 2018, the coupling degree between the development of China’s tourism industry and the ecological environment was mainly in a stage of antagonism, reaching a peak of 0.4998 in 2013. The coupling degree declined slightly from 2013 to 2015 and then began to show an upward trend again in 2016. (2) The average coupling coordination level of China’s tourism industry development and ecological environment was 0.4266, which is in the medium coupling coordination stage. From 2007 to 2013, it was mainly in the phase of moderate coupling and coordination and high coupling and coordination from 2014 to 2018. (3) From the prediction results, the coupling degree will enter the coupling degree running-in stage in 2021 and the extreme coordination stage in 2023, but the coupling growth level during the running-in period will be significantly lower than the coupling coordination degree. Coordinated development of the two systems will take a long time, and active economic policies need to be adopted to promote their coordinated development.

scholarly journals Spatial–Temporal Heterogeneity and the Related Influencing Factors of Tourism Efficiency in China

2021 ◽  
Vol 13 (11) ◽  
pp. 5825
Author(s):  
Zhiliang Liu ◽  
Chengpeng Lu ◽  
Jinhuang Mao ◽  
Dongqi Sun ◽  
Hengji Li ◽  
...  
Keyword(s):  
Spatial Pattern ◽  
Influencing Factors ◽  
High Efficiency ◽  
Southern China ◽  
Malmquist Index ◽  
Northern China ◽  
Tourism Industry ◽  
Environmental Cost ◽  
Resource Endowment ◽  
Low Efficiency

Tourism efficiency is an effective index of measuring the development quality of the tourism industry. In this study, the tourism efficiency of 30 provinces in China during the period from 2006 to 2018 was measured with the SBM model and Malmquist index. On the basis of ESDA and GWR models, we explored the spatial pattern of China’s tourism efficiency and the spatial heterogeneity of the influencing factors in depth. The results revealed that China’s tourism efficiency has been constantly enhanced with an increasingly balanced pattern. Meanwhile, the utilization degrees of various input factors have constantly been improving. Both technological efficiency and technological progress jointly promote rapid growth of total-factor productivity. Accompanied with constant enhancement of the spatial agglomeration effect, the local spatial pattern also showed obvious differentiation. In general, low-efficiency regions were mainly concentrated in northern China, while high-efficiency regions were concentrated in southern China. The distinct spatial–temporal differentiation characteristics of tourist economic efficiency can be attributed to different influencing strengths of various factors in various regions and different action tendencies. The level of economic development, traffic conditions, the professional level of tourism, and openness degree can significantly promote tourism efficiency. Tourism resource endowment and environmental cost impose slight effects and differ in action direction, thereby inhibiting the tourism efficiency of many regions.

scholarly journals Analysis of China’s Manufacturing Industry Carbon Lock-In and Its Influencing Factors

2020 ◽  
Vol 12 (4) ◽  
pp. 1502 ◽  
Author(s):  
Xia Wang ◽  
Lijun Zhang ◽  
Yaochen Qin ◽  
Jingfei Zhang
Keyword(s):  
Influencing Factors ◽  
Carbon Emissions ◽  
Manufacturing Industry ◽  
Ferrous Metal ◽  
Bohai Bay ◽  
High Carbon ◽  
Intergovernmental Panel ◽  
Resource Endowment ◽  
Regional Factors ◽  
Lock In

There are industry lock-in and regional lock-in phenomena in China’s manufacturing industry carbon emissions. However, the existing researches often focus on global carbon emissions, which is not adverse to finding the main problems of manufacturing industry carbon emissions. The biggest contributions of this study are the identification of the industry lock-in and regional lock-in of China’s manufacturing industry and the finding of the regional factors that affect the carbon lock-in of the manufacturing industry, which points out the direction for the low-carbon transformation of the local manufacturing industry. This paper is based on the IPCC (Intergovernmental Panel on Climate Change) carbon emissions coefficient method and energy consumption data from 2000 to 2016 to count the manufacturing industry carbon emissions of 30 provinces in China (except Hong Kong, Macao, Taiwan and Tibet). On this basis, the paper uses a spatial–temporal geographical weighted regression (GTWR) model to analysis the regional influencing factors of the high-carbon manufacturing industry. Results demonstrate that China’s high-carbon manufacturing industry mainly concentrates on the ferrous metal processing industry, non-metallic mineral manufacturing industry and other sectors. In addition, the carbon emissions of high-carbon manufacturing industries are mainly concentrated in Bohai Bay and the North China Plain. The industrial structure and economic scale are the main reasons for the regional carbon lock-in of the high-carbon manufacturing industry, and the strength of the lock-in has continued to increase. Resource endowment is a stable factor of carbon lock-in in high-carbon regions. Technological progress helps to unlock carbon, while foreign direct investment results in the enhancement of carbon regional lock-in. This study focuses on the regional factors of carbon lock-in in the manufacturing industry, hoping to provide decision support for the green development of China’s manufacturing industry.

scholarly journals A Novel Efficiency Measure Model for Industrial Land Use Based on Subvector Data Envelope Analysis and Spatial Analysis Method

Complexity ◽  
2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Wei Chen ◽  
Rui He ◽  
Qun Wu
Keyword(s):  
Land Use ◽  
Spatial Analysis ◽  
Spatial Autocorrelation ◽  
Industrial Development ◽  
Efficiency Measure ◽  
Industrial Land ◽  
Envelope Analysis ◽  
Land Use Efficiency ◽  
Industrial Land Use ◽  
Use Efficiency

With the rapid and unbalanced development of industry, a large amount of cultivated land is converted into industrial land with lower efficiency. The existing research is extensively concerned with industrial land use and industrial development in isolation, but little attention has been paid to the relationship between them. To help address this gap, the paper creates a new efficiency measure method for industrial land use combining Subvector Data Envelope Analysis (DEA) with spatial analysis approach. The proposed model has been verified by using the industrial land use data of 30 Chinese provinces from 2001 to 2013. The spatial autocorrelation relationship between industrial development and industrial land use efficiency is explored. Furthermore, this paper examines the effects of industrial development on industrial land use efficiency by spatial panel data model. The results indicate that the industrial land use efficiency and the industrial development level in the provinces of eastern region are higher than those of the western region. The spatial distribution of industrial land use efficiency shows remarkable positive spatial autocorrelation. However, the level of industrial development has obvious negative spatial autocorrelation since 2009. The improvement of industrial development has a significant positive impact on the industrial land use efficiency.

scholarly journals The Roles of English in the Development of Tourism and Economy in Indonesia

2021 ◽  
Vol 11 (3) ◽  
pp. 305-313
Author(s):  
Ida Ayu Made Sri Widiastuti ◽  
◽  
I Nengah Dasi Astawa ◽  
Ida Bagus Nyoman Mantra ◽  
Putu Herny Susanti ◽  
...  
Keyword(s):  
Human Resources ◽  
Industrial Development ◽  
World Economy ◽  
National Development ◽  
Tourism Industry ◽  
Economic Community ◽  
Industry Sector ◽  
Tourism Sector ◽  
The World ◽  
The Government

Tourism is very necessary to continue to be developed to improve the economy in Indonesia and increase the position of the country geographically, which is very strategic for tourism and the world economy. For this reason, the ability to communicate in English is absolutely necessary, in order to compete with workers from other countries, so that they can contribute to the improvement of the national economy. The ability to communicate in English is a strategic sector in the development of highly competitive human resources in the tourism industry sector and in the global economic community. By having good English communication skills, it will be easier to grab market share in the tourism industry sector and the economic sector. The tourism sector as one of the prime industrial development is developed in order to further increase the rate of national development. For this reason, it is necessary that the government continues to increase its resilience, policies, and increase the development of tourism with a view to further developing the community's economy and increasing the ability to speak English so that human resources are able to compete in various tourism industries so that the economy will increase.

scholarly journals Coevolution of Economic and Industrial Linkages within the Land-Sea Industrial Structure of China

Water ◽  
2021 ◽  
Vol 13 (23) ◽  
pp. 3452
Author(s):  
Xue Jin ◽  
Shiwei Zhou ◽  
Ussif Rashid Sumaila ◽  
Kedong Yin ◽  
Xinman Lv
Keyword(s):  
Industrial Development ◽  
Industrial Structure ◽  
Southern China ◽  
Relational Model ◽  
Industrial Structures ◽  
Resource Endowment ◽  
Significant Difference ◽  
Spatial Differences ◽  
Industrial Linkages ◽  
Effects Of Feedback

The joint development of continental and marine economies has become an important driving force for the upgrading of industrial structures. However, because of the differences in resource endowment and development potential, developing industrial structures and the quality of economic development are uneven among regions. In this study, the added values of three land-sea industries in the three marine economic circles of northern, eastern, and southern China, were employed to clarify the evolutionary behavior of the industrial structure of these three circles on the land and sea; the synchronization, lag, equilibrium, and dislocation of developing the industrial structure were also explored which a gray relational model based on convex judgment and gray time difference analyses were used to construct a relational model from the static and dynamic aspects of the system, and the internal and external linkages of the industrial structure of the three circles were analyzed from the perspective of industrial correlation. The results show that: (1) Correlations among the linkages of the three economic circles in the marine industrial structure, both including and without temporal and spatial differences, and the marine feedback driver, differ markedly. (2) The effects of feedback for marine industrial development from the Eastern Marine Economic Circle were stronger, whereas those of the Southern Marine Economic Circle were weak and those of the Northern Marine Economic Circle were ambiguous. (3) A significant difference was observed in the degree of coevolution among the land-sea industrial structures of these areas. The Northern Marine Economic Circle exhibited a slightly higher degree of coevolution than the other two economic circles, showing a stable trend of coevolution and wide spatial development. The eastern and southern circles displayed high degrees of coordination in developing their industrial structures. The research results provide a reference for regional adjustment and optimization of industrial structure.

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