Taking the aquaculture area, the number of farming boats and that of aquaculturist as input variables, the aquaculture production as desirable output variable and polluted economic loss as undesirable output variable,...Taking the aquaculture area, the number of farming boats and that of aquaculturist as input variables, the aquaculture production as desirable output variable and polluted economic loss as undesirable output variable, this paper conducts SBM model to evaluate the aquaculture efficiency based on the data of 16 aquaculture-developed provinces in China from 2004 to 2011. The results show the efficiency in China has not changed much in recent years with the efficiency values mainly between 0.39 and 0.53, and the efficiency of marine-aquaculture-dominated provinces is generally higher than that of freshwater-aquaculture-dominated ones. To analyze the difference under the efficiency, the panel Tobit model is used with education level factor, training factor, technology extension factor, technical level factor, scale factor and species factor as the efficiency influencing factors. The results show that technology extension factor and technical level factor have significant positive influence.展开更多
This article uses discriminant sampling method to select 1062 small and micro enterprises from 25 provinces in China. Researches were conducted on their credit demand and credit behavior, with the Probit model to carr...This article uses discriminant sampling method to select 1062 small and micro enterprises from 25 provinces in China. Researches were conducted on their credit demand and credit behavior, with the Probit model to carry out metrologic tests on influential factors of these enterprises' credit demand and credit behavior.The metrologic analysis shows: Literacy level of leader, asset size, annual revenue of the enterprises have significantly positive effects on the credit demand of these small and micro enterprises. Annual revenue has significantly negative influence on overall credit behavior and the occurrence of informal financial behavior, but significantly positive influence on the occurrence of formal financial behavior. Literacy level of staff and asset size of enterprises have significantly positive influence on the occurrence of the overall credit behavior of small and micro enterprises.展开更多
For natural resource science, resource productivity studying is an important subject. But researches on tourism resource productivity are limited. The most significant influencing factor on tourism resource productivi...For natural resource science, resource productivity studying is an important subject. But researches on tourism resource productivity are limited. The most significant influencing factor on tourism resource productivity is the potential market scale of tourist locations, and second most important influencing factor is the resource endowment. Regional urban population is significantly correlated with region tourist numbers, being the decisive factor of region potential tour market scale. In tourism development, the dual model should be adopted: on one hand to enhance tour spot attractiveness, on the other hand to cultivate the potential market by improving urbanization level and other means. In the situation of tourism development fever spreading, the dual model for improving tourism productivity helps to avoid the "Great Leap Forward" which means that too rapid tourism construction divorces from actual market demand.展开更多
基金supported by the Major State Basic Research Development Program of China: the Research on the Key Technology of Clean and High Efficient Mariculture Pond (Grant Nos. 2011BAD 13B03)Promotive Research Fund for Excellent Young and Middle-Aged Scientists of Shandong Province: High Efficiency and Low Carbon Development Research of Shandong Mariculture Industry (Grant Nos. BS2012HZ 024)the Research of Chinese Mariculture Industry High Efficiency and Low Carbon Development Model Implementation Mechanism Funded by the Marine Development Institute of Ocean University of China Humanities and Social Science Key Research Base of Ministry of Education (Grant Nos. 2012JDZS02)
文摘Taking the aquaculture area, the number of farming boats and that of aquaculturist as input variables, the aquaculture production as desirable output variable and polluted economic loss as undesirable output variable, this paper conducts SBM model to evaluate the aquaculture efficiency based on the data of 16 aquaculture-developed provinces in China from 2004 to 2011. The results show the efficiency in China has not changed much in recent years with the efficiency values mainly between 0.39 and 0.53, and the efficiency of marine-aquaculture-dominated provinces is generally higher than that of freshwater-aquaculture-dominated ones. To analyze the difference under the efficiency, the panel Tobit model is used with education level factor, training factor, technology extension factor, technical level factor, scale factor and species factor as the efficiency influencing factors. The results show that technology extension factor and technical level factor have significant positive influence.
基金subsidized by Ministry of Education Humanities and Social Sciences Planning Fund(11YJA790146) "Coordinated Development of Urban and Rural Finance Research in Dual Economic Structure"Southwestern University Research Funds for the Central Universities Special Funds for Basic Items(SWU1009002) "Coordinated Development of Theoretical Research in Dual Economic Structure in Rural Finance"+1 种基金Chongqing talents project "Chongqing Urban and Rural Finance Coordination development Research"National Social Science Fund Project (12CJY062) "Construction of Rural Supporting Financial Systems and Innovation Research",national Social Science Fund Project(10BJY082) "Rural Microfinance Institutions Innovation and Risk Control Study" and "Statistics First-level Discipline and Doctoral Discipline Construction Funds in Southwestern University"
文摘This article uses discriminant sampling method to select 1062 small and micro enterprises from 25 provinces in China. Researches were conducted on their credit demand and credit behavior, with the Probit model to carry out metrologic tests on influential factors of these enterprises' credit demand and credit behavior.The metrologic analysis shows: Literacy level of leader, asset size, annual revenue of the enterprises have significantly positive effects on the credit demand of these small and micro enterprises. Annual revenue has significantly negative influence on overall credit behavior and the occurrence of informal financial behavior, but significantly positive influence on the occurrence of formal financial behavior. Literacy level of staff and asset size of enterprises have significantly positive influence on the occurrence of the overall credit behavior of small and micro enterprises.
基金Phase Achievement of the Project "National Scientific-basic Special Fund in2008:Scientific Investigation in the Middlelower Reaches of the Lancang River and in Big Shangri-La Areas(Grant No.2008FY110300)"
文摘For natural resource science, resource productivity studying is an important subject. But researches on tourism resource productivity are limited. The most significant influencing factor on tourism resource productivity is the potential market scale of tourist locations, and second most important influencing factor is the resource endowment. Regional urban population is significantly correlated with region tourist numbers, being the decisive factor of region potential tour market scale. In tourism development, the dual model should be adopted: on one hand to enhance tour spot attractiveness, on the other hand to cultivate the potential market by improving urbanization level and other means. In the situation of tourism development fever spreading, the dual model for improving tourism productivity helps to avoid the "Great Leap Forward" which means that too rapid tourism construction divorces from actual market demand.
