The Efficiency of China’s Hub Economy and Its Influencing Factors: A Two-Stage Analysis Based on the Super SBM-Malmquist-Tobit Model

Table 1

Input-output index system and influencing factor index system.

Type	First level	Second level
Input	Input of transportation	Investment in fixed assets of the whole society in transportation, storage, and postal services industries (100 million CNY)
	Input of logistics	Total number of employed persons in the railway transport industry, road transport industry, water transport industry, air transport industry, loading, unloading, and other transport service industry, and postal service industry (person)
	Input of information	Number of internet broadband access ports (ten thousand units)
Output	Degree of connectivity	Passenger turnover (100 million person-km) and cargo turnover (100 million ton-km)
	Degree of informatization	Software business revenue (100 million CNY)
	Degree of openness to the outside world	Total import and export volume at domestic destinations and source places (thousand dollars)
	Economic benefits	Gross regional product (100 million CNY)
Impact	Impact of policy	Fiscal expenditure on local transportation (100 million CNY)
	Impact of industrial structure	Proportion of the added value of the tertiary industry in gross regional product
	Impact of education	Education expenditure (ten thousand CNY)
	Impact of enterprises	Number of legal entities (unit)
	Impact of innovation	The grant volume of domestic patent applications (item)
	Impact of technology	Technology market turnover (100 million CNY)

Note. Indicators such as the number of Internet broadband access ports, passenger turnover, cargo turnover, software business revenue, total import and export volume of domestic destinations and source places, gross regional product, fiscal expenditure on local transportation, number of legal entities, grant volume of domestic patent applications, technology market turnover, number of employees in the railway transport industry, number of employees in the road transport industry, and number of employees in the postal industry can be obtained directly from the China statistical yearbook. Due to changes in statistical caliber, missing data, and other reasons, indicators such as investment in fixed assets of the whole society in transportation, storage, and postal services, number of employees in water transport industry, number of employees in air transport industry, number of employees in loading, unloading, and other transport services industry, proportion of added value of tertiary industry in gross regional product, education expenditure, and total number of employees representing logistics input need to be estimated according to the existing data of China statistical yearbook.