Empirical Study on Performance Evaluation of Regional Tourism in China

2011 ◽  
Vol 55-57 ◽  
pp. 1986-1991
Author(s):  
Tie Qun Li
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Comprehensive Evaluation ◽  
Tourism Industry ◽  
Analysis Method ◽  
Regional Tourism ◽  
Development Level ◽  
Great Consistency ◽  
Domestic Tourism ◽  
Tourism Economy

China's tourism industry has become the most active one in tertiary industries. This paper analyzes the economic growth effects of tourism, and makes a comprehensive evaluation on the domestic tourism development strength in provinces and cities by means of factor analysis method. The results show that there is two-way causal relationship between economic growth and domestic tourism, economic development level of regional tourism in general has great consistency with the overall level of regional economic development, and the scale of tourism economy plays a very important role in tourism economic performance.

Spatial-Temporal Pattern of Tourism Economic Differences in Gansu Province

2011 ◽  
Vol 137 ◽  
pp. 335-343
Author(s):  
Pei Ji Shi ◽  
Zu Jing Wang ◽  
Wei Li
Keyword(s):  
Economic Development ◽  
Gansu Province ◽  
Analysis Method ◽  
Development Indicators ◽  
Regional Tourism ◽  
Space Pattern ◽  
Components Analysis ◽  
General Section ◽  
Tourism Economy ◽  
Geographical Space

This paper selects 9 indicators to build the economic development indicators of urban tourism in Gansu Province. We use the principal components analysis method to analyze the level of tourism economy development, with the help of ArcGIS and GeoDA software. And it reveals the regional tourism economic differences between 14 prefecture-level cities in Gansu Province. The result indicates that the level of tourism economic development shows features of general section in the geographical space, and it formed a "dumbbell" type space pattern. Then we analyze the main causes of this phenomenon, and find out solutions to solve the problem.

scholarly journals Evaluation and Analysis of Socio-Economic Development Level and Management in Guangxi province of China

2021 ◽  
Vol 39 (5) ◽  
Author(s):  
Li Zongkeng ◽  
Li Zhuoran ◽  
Andrii Mykhailov ◽  
Wei Shi ◽  
Yang Zhuquan ◽  
...  
Keyword(s):  
Cluster Analysis ◽  
Economic Development ◽  
Comprehensive Evaluation ◽  
Principal Component ◽  
Component Analysis ◽  
Analysis Method ◽  
Development Level ◽  
Socio Economic Development ◽  
Cluster Analysis Method ◽  
And Cluster Analysis

This article takes 14 regions in Guangxi as the research object, selects ten indicators that can measure the level of socio-economic development, establishes an index system for evaluating the regional socio-economic development level of Guangxi regions, and uses principal component analysis method and cluster analysis method carry out comprehensive evaluation and difference analysis among the economic development level of Guangxi regions. First, the primary component analysis method uses to comprehensively evaluate the economic development level of 14 regions in Guangxi. The results show that there are vast differences in the economic development levels of regions in Guangxi. Secondly, a systematic cluster analysis method uses to classify and analyze the differences between regions according to the similarity of economic development status. Finally, combined with the results of principal component analysis and cluster analysis, comprehensive evaluation analysis and discussion on the economic development status of various regions in Guangxi, and based on the evaluation results, proposed countermeasures for the socio-economic development and management in Guangxi province of China.

scholarly journals Tourism Industry and Economic Growth Nexus in Beijing, China

Economies ◽  
2019 ◽  
Vol 7 (1) ◽  
pp. 25 ◽  
Author(s):  
Yang Songling ◽  
Muhammad Ishtiaq ◽  
Bui Thi Thanh
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Strong Support ◽  
Growth Index ◽  
Strong Relationship ◽  
Tourism Industry ◽  
Var Model ◽  
Long Run ◽  
The Relationship ◽  
Beijing China

In the developing economy, tourism is the most visible and steadiest growing facade. Tourism is considered one of the rapidly increasing elements for economic development from the last two decades. Therefore, the proposed study used vector autoregression (VAR) model, error correction model (ECM), and the Granger causality to check the relationship between the tourism industry and economic growth based on the data of the Beijing municipal bureau of statistics from 1994 to 2015. Gross domestic product (GDP) is used as a replacement variable for the economic growth index, while internal tourism revenue is used as a tourism industry indicator. The study supports the tourism-led growth hypothesis proposed in the existing literature in a different survey of tourism and economic development. The results show that there is a strong relationship in the tourism industry and economic growth in the context of Beijing, and at the same time, tourism creates a more significant increase in long run local real economic accomplishments. The results of the VAR model confirm that in the long run, Beijing’s economic growth is affected by domestic tourism, while the ECM model shows unidirectional results in the short term. Similarly, there is a one-way causal relationship between the tourism industry and economic growth in Beijing, China. The empirical results are in strong support of the concept that tourism causes growth.

scholarly journals SMART GROWTH PROGRESS IN EUROPEAN UNION: A COHESION APPROACH

2019 ◽  
Vol 133 (2) ◽  
pp. 41-49
Author(s):  
Viktor Kozlovskij
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Tertiary Education ◽  
Smart Growth ◽  
Developed Countries ◽  
Member States ◽  
Eu Countries ◽  
Development Level ◽  
Growth Indicators ◽  
The Eu

Economic development and socioeconomic cohesion have always been an object of scientific research. In particular, this issue had become a focus of attention after EU enlargement in 2004 and Great Recession in 2007–2009. The above changes have given way to a certain slowdown in economic growth in most EU countries along with triggering a range of divergence processes between EU countries and regions. As a response to situation, the EU offered a Europe 2020 strategy, in which smart growth was mentioned as one of critical instruments to deal with increasing menaces. The objective of the study is to evaluate the progress of the main smart growth indicators (investment in research and development (R&D), employment rate and share of population obtaining tertiary education) in the EU over the period 2001–2017 within the framework of the economic cohesion concept. The paper seeks to explore the EU from different perspectives. First, the EU new member states (EU-10) and the old ones (EU-14) were compared. Second, the EU countries were divided by economic development level (calculated by GDP per capita in PPP): highly developed (H-7), medium developed (M-7) and less developed (L-7) countries. Finally, aggregate cohesion indices of all three smart growth indicators were calculated for the entire EU (EU-28). The research findings have revealed some interesting trends. First, each smart growth indicator’s progress depends on countries’ economic development level. Aggregate values for more developed countries (EU-14, H-7 and G-3) are always higher than the EU average (EU-28) and aggregate values for less developed economies are basically lower. Second, cohesion progress of smart growth indicators was influenced by economic recession in 2007–2009. It is argued that cohesion is evident in times of economic growth, but its progress ceases or divergence might occur in case of economic hazards. However, despite the expanding cohesion between the new and the old member states, a gap between certain groups of countries is even growing. This is clearly evident when the EU member states are divided into groups subject to the level of their economic development.

scholarly journals Influence of Tourism on Economic Development in Asian Countries

2020 ◽  
Vol 5 (2) ◽  
pp. 207-216
Author(s):  
Wen-Chuan FU ◽  
◽  
Chia-Jui PENG ◽  
Tzu-Yi YANG ◽  
◽  
...  
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Global Economy ◽  
Tourism Industry ◽  
Asian Countries ◽  
Cross Sectional ◽  
Rate Fluctuation ◽  
National Economic ◽  
International Entry ◽  
The Relationship

Although the tourism industry has recorded the lowest pollution, it significantly contributes to the global economy. Therefore, many countries have spent great efforts in promoting their tourism industry to support their entire economic development. This article considers factors related to the relationship between national economic growth and international entry tourism for 11 Asian countries to investigate the existence of the cross-sectional difference between these countries. Results show that exchange rate fluctuation is an alternative factor affecting economic growth risk, and common slope exists between countries. Moreover, international entry tourist headcount and income show differential slope in some countries, implying that these factors affect the economies of different Asian countries differently.

scholarly journals Coupling Coordination Assessment on Sponge City Construction and Its Spatial Pattern in Henan Province, China

Water ◽  
2020 ◽  
Vol 12 (12) ◽  
pp. 3482
Author(s):  
Kun Wang ◽  
Lijun Zhang ◽  
Lulu Zhang ◽  
Shujuan Cheng
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Green Infrastructure ◽  
Henan Province ◽  
Central China ◽  
Coordinated Development ◽  
Sponge City ◽  
Development Level ◽  
City Construction ◽  
Coordination Development

Coordinating the “green” and “gray” infrastructure construction and the socioeconomic development is essential to sponge city construction. Most previous research has investigated the structural and non-structural approach for urban water management, such as operational practice, engineered measures, technical solutions, or planning management. However, there is a shortage of strategic management approaches to identify pilot sponge cities, which is essential to cities in developing countries under huge financial pressures. Hence, this paper proposed a coupling coordination evaluation index system to assess the coordination degree between economic development and infrastructure construction in Henan Province in central China. Then, the paper analyzed the differences of the coordination level and its spatial statistical pattern of the coupled and coordinated development of sponge city construction in Henan Province. The results show that: (1) from the perspective of comprehensive level, the problems of inadequate and unbalanced development of infrastructure construction and economic development level are prominent; (2) from the perspective of coordinated development level, the level of coupling and coordination development in Henan Province increased during the sample period, but the level of coupling and coordination development in each region was small; (3) from the perspective of relative development, Zhengzhou City is lagging behind in infrastructure, indicating that economic growth is faster than infrastructure construction, and other regions are lagging economic development, indicating that infrastructure construction is faster than economic growth; and (4) from the spatial statistical analysis, there is spatial positive correlation, that is, the area with high coupling degree of infrastructure construction and economic development level tends to be significantly concentrated in space. Studies have shown that Henan Province should focus on strengthening the construction of “green” infrastructure and increasing the infiltration of the underlying surface to counter the precipitation in urban areas in extreme climates.

scholarly journals Energy Price and Energy Efficiency in China: A Linear and Nonlinear Empirical Investigation

Energies ◽  
2020 ◽  
Vol 13 (16) ◽  
pp. 4068 ◽  
Author(s):  
Peng Hou ◽  
Yilin Li ◽  
Yong Tan ◽  
Yuanjie Hou
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Energy Efficiency ◽  
Economic Development ◽  
Energy Price ◽  
Effect Analysis ◽  
Economic Growth Rate ◽  
Development Level ◽  
Linear And Nonlinear ◽  
The Impact

The empirical conclusions regarding the relationship between energy price and energy efficiency are relatively mixed. This paper systematically examines the influence of energy price on energy efficiency in China based on data from 30 provinces between 2003 and 2017, using linear and nonlinear effect analysis. We found that the impact of energy price on energy efficiency in China was positive in general. However, there existed heterogeneous effects of energy price on energy efficiency in various regions, and the effect differed with differences in energy efficiency levels based on the panel quantile regression analysis. Finally, the nonlinear effect analysis based on the panel threshold model indicated that the effect of energy price on energy efficiency increased with the rise of the environmental regulation level and economic growth rate, while it decreased with the ascent of the degree of energy price distortion and economic development level. In particular, when the value of a region’s economic development level and economic growth rate was within a certain range, the impact was not statistically significant. Overall, these findings contribute to a deeper understanding regarding the effect of energy price on energy efficiency in China.

Evaluation and Statistical Analysis on the Centrality Indexes of Tourism Central City in the Central Liaoning Urban Clusters

2010 ◽  
Vol 171-172 ◽  
pp. 671-674
Author(s):  
Zhi Xin Ma ◽  
Xuan Liu
Keyword(s):  
Central City ◽  
Principal Component ◽  
Tourism Industry ◽  
Principal Component Score ◽  
Tourism Planning ◽  
Central Cities ◽  
Regional Tourism ◽  
Tourism Destinations ◽  
Tourism Economy ◽  
Score Matrix

This paper took 8 tourism central cities in central Liaoning urban clusters as an example, chose 7 indicators to analyze the centrality indexes of the tourism destinations and study the development of regional tourism industry. It firstly made a principal component analysis, then used the extracted principal components as a new integrated variable, the principal component score matrix as the new integrated variable data to make a cluster analysis through the software SPSS. From the perspective of tourism planning, the paper finally determines to establish a system of tourism central cities: Shenyang isⅠ-class tourism central city, Anshan, Fushun and Benxi are Ⅱ-class tourism central cities, Yingkou, Fuxin, Liaoyang and Tieling are Ⅲ-class tourism central cities, and provides the basis for distribution of the regional tourism economy in central Liaoning.

scholarly journals FISCAL DECENTRALIZATION AND ECONOMIC GROWTH IN SELECTED EUROPEAN COUNTRIES

2017 ◽  
Vol 18 (4) ◽  
pp. 745-757 ◽  
Author(s):  
Neringa SLAVINSKAITĖ
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Fiscal Decentralization ◽  
Developed Countries ◽  
Panel Model ◽  
Development Level ◽  
Multiple Regression Method ◽  
Level Of Economic Development ◽  
High Level ◽  
The Empirical Analysis

The paper analyses the fiscal decentralization effects on economic growth in unitary countries of European Union for the period 2005–2014. The empirical analysis was based on the multiple regression method. The fixed effect panel model was used as framework for the analysis. In order to examine the different impact of fiscal decentralization, the same analysis was applied to subsets of countries categorized into two groups according to countries’ level of economic development. This further analysis found that there is positive relationship between fiscal decentralization and economic growth in low level of economically developing countries and no relationship in high level of economically developed countries. These results suggested that fiscal decentralization is not always instrument for promotion of economic growth, which means that country’s economic development level is an important factor when introducing reform of fiscal decentralization. The originality of this article – new fiscal decentralization index and evaluated fiscal decentralization level influence for countries economic growth.

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