دانلود رایگان مقاله مشخصه توزیع فضایی فرودگاه های چینی روش تابع هزینه فضایی

عنوان فارسی
مشخصه توزیع فضایی فرودگاه های چینی: یک روش تابع هزینه فضایی
عنوان انگلیسی
Spatial distribution characteristic of Chinese airports: A spatial cost function approach
صفحات مقاله فارسی
0
صفحات مقاله انگلیسی
8
سال انتشار
2017
نشریه
الزویر - Elsevier
فرمت مقاله انگلیسی
PDF
کد محصول
E4061
رشته های مرتبط با این مقاله
علوم فنون هوایی
مجله
مجله مدیریت حمل و نقل هوایی - Journal of Air Transport Management
دانشگاه
دانشکده اقتصاد، مرکز چین برای توسعه اقتصادی و نوآوری استراتژی تحقیق، دانشگاه جنان، گوانگژو، چین
کلمات کلیدی
فرودگاه، چین، فرودگاه، توزیع فضایی، بهره وری هزینه
چکیده

abstract


This paper uses spatial econometric models to analyze the spatial distribution of Chinese airports from 2002 to 2012, taking into consideration the factors that explain the distribution of airports around the country. A cost function allowing for latitude and longitude is estimated based on spatial location, which leads us to advise the implementation of policies that take into account the spatial distribution of the airports. Results show that the development of airports in China needs to consider the spatial relationship among the many different regions of China. To improve the cost efficiency, airports should be located in more economically developed areas. Meanwhile, it also helps to reduce the cost when listing on the stock market

نتیجه گیری

6. Conclusion


Airports have been in rapid development across different regions of China during recent decades. The existing literature focuses mainly on the technical efficiency or productivity of airports with traditional SFA, which ignore independence between observations. This paper fills this gap by using the cost function and considering the spatial effects. It analyzes 41 Chinese airports costs during the period from 2002 to 2012. This is the first study to be undertaken at the national level, with a contemporary data span, using spatial analysis. The empirical results show that there are fivekinds of different spatial dependence (i.e. SAR, SDM, SAC, SEM and GSPRE) among Chinese airports (Vega and Elhorst, 2012; Glass et al., 2016), signifying that neglecting these effects may result in bias in the estimated models. Moreover, we further investigate whether these four distinctive characteristics affect the costs of Chinese airports using different spatial cost functions. The status of an airport as a hub and the listing of an airport on the stock exchange both decrease an airport's costs, while the location (i.e., whether the airport is located in the Yangtze River Delta or the Bohai Gulf Region) does not significantly decrease the costs. This implies that the development of airports in China should consider the spatial relationship among different regions of China, especially the relationship with China's hub airports. Moreover, in general, population does not decrease operational costs, while the status of hub airports, which are located in economic centers of China, does decrease the operational costs, implying that the development of airports should be consistent with economic development, rather than occurring ahead of the demand for infrastructure. Finally, the airports of China need to strengthen their management. Most Chinese airports are still SOEs (State-owned Enterprise) and present many opportunities to improve management and efficiency. The quoted or listed airports could help reduce the cost through increasing supervision from shareholders.


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