中國沿海地區(qū)旅游產(chǎn)業(yè)結(jié)構(gòu)與產(chǎn)業(yè)集聚的空間關(guān)聯(lián)與協(xié)調(diào)發(fā)展研究
[Abstract]:Tourism has become a new economic growth point and pillar industry in the coastal areas of eastern China. Tourism development in coastal areas is in the golden period of development, but at the same time, it is also in the historical period of strategic promotion, contradictions and industrial transformation. The contradiction between structure and demand is prominent, and the tourism industry is facing structural adjustment, optimization and upgrading. The development of tourism industry agglomeration area is a new mode of tourism development, new exploration and new breakthrough. Tourism industry agglomeration is a geopolitical phenomenon in the process of the development and evolution of the tourism industry. It is also a high-level form of the optimization and upgrading of the tourism industrial structure. At the same time, the optimization and upgrading of the tourism industrial structure also promotes the rational health of the tourism industry agglomeration. Development.
Based on the adjustment of tourism industry structure and the theory of tourism industry agglomeration, this paper uses the deviation share method to measure and measure the structural benefit of tourism industry, and uses the ratio coefficient to measure the rationalization and height of the tourism industry, and uses the tourist industry location quotient index to measure the degree of Tourism industry agglomeration in the coastal provinces and cities of China and build a brigade. The evaluation index system of tourism industrial structure level and the degree of tourism industry agglomeration and the multi index comprehensive index model are used to calculate and analyze the comprehensive index of tourism industrial structure level and tourism industrial agglomeration degree in coastal provinces and cities of China. On this basis, 53 coastal cities in China are taken as an example to explore the Chinese edge by spatial statistical analysis. The spatial correlation of the tourism industrial structure level and the degree of tourism industry agglomeration in Haicheng City, the spatial coefficient regression model (space lag model and spatial error model) and the spatial variable coefficient regression model (GEO weighted regression model) are used to analyze the coastal urban tourism industrial structure water from the two aspects of the whole region and the local area respectively. In the end, the coupling coordination degree model is used to measure the coupling coordination degree of the tourism industrial structure level and the degree of tourism industry agglomeration in China's coastal cities, and the type and space analysis are carried out, and then the coupling development model between the two is proposed. The adjustment and optimization are included in the framework of industrial agglomeration. The optimization and upgrading of regional tourism industry structure is discussed from the perspective of industrial agglomeration. The aim is to provide a theoretical basis for promoting the rational allocation of tourism industry elements in coastal areas and the optimization and upgrading of the tourism industrial structure, and to solve many problems in the development of the tourism industry in coastal areas. Structural contradictions and problems, cultivate and form a benign interaction between tourism industrial structure adjustment and tourism industry agglomeration in space, and coordinate the coupling mechanism, and provide important practical guiding significance.
The spatial error model (SEM) is used to estimate the global parameter estimation of the level of tourism industrial agglomeration on the level of tourism industrial structure. The results show that the impact of the adjacent coastal cities on the tourism industrial structure level has a significant positive effect on the tourism industrial structure level in the central coastal cities, and it is adjacent to Haicheng. The structure level of the city tourism industry has increased by 1%, and the tourism industrial structure of the central coastal city is increased by 0.3176868%. The degree of tourism industrial agglomeration has a significant positive effect on the structure level of the tourism industry. In the case of keeping the other conditions unchanged, the degree of tourism industry agglomeration is increased by 1%, and the structure level of the tourism industry in coastal cities is on the level. Improve 0.113524%.
The local constant parameter estimation of the degree of tourism industrial agglomeration to the structure level of tourism industry shows that the agglomeration degree of tourism industry in each coastal city is increased by 1%, and the tourism industrial structure level is at least 0.1%. in the ring Bohai area, and the degree of tourism industry agglomeration has the effect on the optimization and upgrading of the tourism industrial structure along Haicheng. Most obviously, the coastal cities in the Yangtze River Delta are the second, while the coastal cities in the Pearl River Delta are weaker.
The least square (OLS) method is used to estimate the global parameters of the tourism industrial structure level on the degree of tourism industrial agglomeration in coastal cities. The results show that the tourism industrial structure level has a significant positive effect on the degree of tourism industry agglomeration, that is, the tourism industrial structure of coastal cities without other factors. The level of regional tourism agglomeration increased by 1% per level per 7.622267%..
The local constant parameter estimation of the tourism industrial structure level on the degree of tourism industrial agglomeration shows that the concentration of tourism industry in each coastal city has increased by 1%, and the tourism industrial structure level is at least 6.01%.. The coefficient of the central coastal cities in the Yangtze River Delta and the Pearl River Delta region is larger than that of the coastal Bohai region. The estimated value of urban coefficient is small, that is, in the Bohai Rim region, the level of tourism industry structure has little effect on the degree of tourism industry agglomeration in coastal cities, and needs to be improved.
In the coastal provinces (cities), in addition to the Hebei Province, the coupling degree of tourism industrial structure level and the degree of tourism industrial agglomeration (C) is above 0.95, that is, the degree of interaction between the two are very strong. The coupling and coordinated development degree of the tourism industrial structure level and the degree of tourism industry concentration in coastal provinces and cities is between 0.357 and 0.755, and it is in mild maladjustment and intermediate level. Coordination between Tianjin, Shanghai and Guangdong, respectively, as the region of the Bohai region, the Yangtze River Delta region and the Pearl River Delta region, the tourism industry structure and the Tourism Industrial Agglomeration Coordinated development, which plays an important engine role in the three major coastal areas of the coastal development.
The coordinated development mode of tourism industrial structure and tourism industry agglomeration in coastal areas includes the leading type of tourism industry cluster, the leading type of tourism industry structure and three kinds of government support type. The coastal areas of China should be based on the development and innovation of tourism products, the innovation of the tourism industry technology path, the innovation of the tourism industry management model, and the improvement of the infrastructure construction of the tourism industry. The interaction and coordination of tourism industry structure and tourism industry agglomeration should be strengthened in the aspects of tourism industry policy and system innovation, strengthening regional cooperation in tourism industry and optimizing regional distribution.
【學(xué)位授予單位】:中國海洋大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2014
【分類號】:F592.7
【參考文獻(xiàn)】
相關(guān)期刊論文 前10條
1 張建春;;旅游產(chǎn)業(yè)集群探析[J];商業(yè)研究;2006年15期
2 張夢;以產(chǎn)業(yè)集群提升區(qū)域旅游業(yè)競爭力[J];財(cái)經(jīng)科學(xué);2005年06期
3 鄧宏兵;劉芬;莊軍;;中國旅游業(yè)空間集聚與集群化發(fā)展研究[J];長江流域資源與環(huán)境;2007年03期
4 郭勝;論旅游產(chǎn)業(yè)結(jié)構(gòu)優(yōu)化調(diào)整目標(biāo)與措施[J];財(cái)貿(mào)研究;2003年04期
5 宋濤;調(diào)整產(chǎn)業(yè)結(jié)構(gòu)的理論研究[J];當(dāng)代經(jīng)濟(jì)研究;2002年11期
6 尹貽梅;劉志高;;旅游產(chǎn)業(yè)集群存在的條件及效應(yīng)探討[J];地理與地理信息科學(xué);2006年06期
7 葛軍;劉家明;;廣東省國際旅游產(chǎn)業(yè)結(jié)構(gòu)與競爭力的偏離份額分析[J];地理科學(xué)進(jìn)展;2011年06期
8 王兆峰;;旅游產(chǎn)業(yè)集群形成條件與識別方法[J];地域研究與開發(fā);2009年03期
9 尹貽梅,陸玉麒,劉志高;旅游企業(yè)集群:提升目的地競爭力新的戰(zhàn)略模式[J];福建論壇(人文社會科學(xué)版);2004年08期
10 張廣海;劉佳;;環(huán)渤海地區(qū)旅游產(chǎn)業(yè)集群構(gòu)建與區(qū)域整合研究[J];改革與戰(zhàn)略;2007年02期
相關(guān)博士學(xué)位論文 前1條
1 王兆峰;基于產(chǎn)業(yè)集群的旅游產(chǎn)業(yè)結(jié)構(gòu)升級優(yōu)化研究[D];中南大學(xué);2009年
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