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
The rapid development of industry application products has greatly influenced society. It has become essential for some telecommunication companies to focus on customer satisfaction with industrial products used by th...The rapid development of industry application products has greatly influenced society. It has become essential for some telecommunication companies to focus on customer satisfaction with industrial products used by the government and enterprise customers. Following the review of a previous study of customer satisfaction and with the help of experiential level theory,this article attempts to establish a Satisfaction Factors Model for researching customer satisfaction with industry applications. We chose a product named "Mobile Monitor" and investigated the emotional satisfaction of 127 users and company leaders from different walks of life,and showed that 7 of the product's features affected the customers' overall emotional satisfaction. Lastly,this paper points out management implications of this application based on quantitative results. It presents a preliminary exploration program for customer satisfaction research in this specific field. The empirical research on a specific product based on experimental level theory may serve as a reference for other companies that desire to carry out similar surveys in future.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
The primary object of this paper is to examine the spatial-temporal pattern evolution of manufacturing geographical agglomeration of the old industrial base.Industrial spatial agglomeration index and concentration rat...The primary object of this paper is to examine the spatial-temporal pattern evolution of manufacturing geographical agglomeration of the old industrial base.Industrial spatial agglomeration index and concentration ratio are used in this paper.Multiple linear regression models are also applied to try to explore the internal driving mechanisms on manufacturing geographical agglomeration.The results show that:1) the manufacturing agglomeration degree of Jilin Province is increasing gradually.The spatial polarization structure is visible;and the central region is the agglomeration area,in addition,the manufacturing industries of Changchun Proper present a trend of dispersion;2) the structure of manufacturing industries has changed,and the concentration ratio of labor-intensive manufacturing industry is declining,while the proportions of technology-intensive and capital-intensive manufacturing industry are relatively rising;3) marketing level,location accessibility,labor resources,capital,science and technology innovation capability,scale economy and the level of globalization affect manufacturing agglomeration with different degree.There are significant differences of the effects about employment,technology,the quality of residents and the export-oriented market on the industrial concentration ratio;4) in the future,the impact of policy and institution,export-oriented market and quality of resident on manufacturing geographical agglomeration pattern will be more profound.展开更多
This paper constructed a carbon emission identity based on five factors： industrial activity, industrial structure, energy inten- sity, energy mix and carbon emission parameter, and analyzed manufacturing carbon emis...This paper constructed a carbon emission identity based on five factors： industrial activity, industrial structure, energy inten- sity, energy mix and carbon emission parameter, and analyzed manufacturing carbon emission trends in Jilin Province at subdivided industrial level through Log-Mean Divisia Index （LMDI） method. Results showed that manufacturing carbon emissions of Jilin Province increased 1.304 ~ 107t by 66% between 2004 and 2010. However, 2012 was a remarkable year in which carbon emissions decreased compared with 2011, the first fall since 2004. Industrial activity was the most important factor for the increase of carbon emissions, while energy intensity had the greatest impact on inhibiting carbon emission growth. Despite the impact of industrial structure on carbon emissions fluctuated, its overall trend inhibited carbon emission growth. Further, influences of industrial structure became gradually stronger and surpassed energy intensity in the period 2009-2010. These results conclude that reducing energy intensity is still the main way for carbon emission reduction in Jilin Province, hut industrial structure can not be ignored and it has great potential. Based on the analyses, the way of manufacturing industrial structure adjustment for Jilin Province is put forward.展开更多
At present, China＇s animation industry is developing rapidly, the performance of the animation is through a series of design to complete, through the action to create the role of animation characters, which led to th...At present, China＇s animation industry is developing rapidly, the performance of the animation is through a series of design to complete, through the action to create the role of animation characters, which led to the audience resonance. This article mainly analyzes the influencing factors of character creation and the importance of characterization in characterization in the animation performance, and then explores the performance of the characterization in the animation performance. Hoping to through this theoretical study, the animation performance of the characterization of a deeper understanding.展开更多
Analysis is given to energy sources home and abroad, the employed and customer market in oceanographic engineering and necessity of its development. Risk out of system is put forward just after marine industry into oc...Analysis is given to energy sources home and abroad, the employed and customer market in oceanographic engineering and necessity of its development. Risk out of system is put forward just after marine industry into oceanographic engineering market. It also metions several influencing factors including politics, finance and ocean engineering materials.展开更多
Diversification is the most notable character of the modern economy. Security early-warning management became the focus of China＇s Industrial Development. This article evaluated the influence factors of industrial se...Diversification is the most notable character of the modern economy. Security early-warning management became the focus of China＇s Industrial Development. This article evaluated the influence factors of industrial security. Our country must build industry early warning management mechanism with Chinese characteristics. This could reduce the risk of market economy.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
The development ofinternet technology makes the aquatic products retailers change their traditional intermediary function in succession, and improve the information flow in the market relying on internet technology. T...The development ofinternet technology makes the aquatic products retailers change their traditional intermediary function in succession, and improve the information flow in the market relying on internet technology. This text aims to discuss the feasibility of adoption of drop-shipping model by the aquatic products e-retailers under ＂Internet ＋＂ and its influence factors, and provide the aquatic products e-retailers with relevant advices and suggestions on adoption of drop-shipping model.展开更多
By using principal component analysis, this paper selected some appropriate influencing indicators, and constructed multiple linear regression models to predict the development of energy-saving environmental protectio...By using principal component analysis, this paper selected some appropriate influencing indicators, and constructed multiple linear regression models to predict the development of energy-saving environmental protection industry（ESEPl） in Shanghai. The Influencing Factors can be categorized into comprehensive economic factors and environmental factors, and GDP of the second industries and the total industries GDP in comprehensive economic factors have the strongest correlation, while in the environmental index factors, the total discharge of waste water has the strongest correlation. On the basis of influencing factors study, the regression model shows that by the end of 2020, the industry investment will reach 89.788 billion RMB, which proves that the development of ESEPI in Shanghai would grow continuously and dramatically.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supported by the Research on Group Customers Satisfaction of Hubei Telecom
文摘The rapid development of industry application products has greatly influenced society. It has become essential for some telecommunication companies to focus on customer satisfaction with industrial products used by the government and enterprise customers. Following the review of a previous study of customer satisfaction and with the help of experiential level theory,this article attempts to establish a Satisfaction Factors Model for researching customer satisfaction with industry applications. We chose a product named "Mobile Monitor" and investigated the emotional satisfaction of 127 users and company leaders from different walks of life,and showed that 7 of the product's features affected the customers' overall emotional satisfaction. Lastly,this paper points out management implications of this application based on quantitative results. It presents a preliminary exploration program for customer satisfaction research in this specific field. The empirical research on a specific product based on experimental level theory may serve as a reference for other companies that desire to carry out similar surveys in future.
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Under the auspices of National Natural Science Foundation of China(No.41371135)Science and Technology Guide Plan Soft Science Project of Jilin Province(No.20120635)
文摘The primary object of this paper is to examine the spatial-temporal pattern evolution of manufacturing geographical agglomeration of the old industrial base.Industrial spatial agglomeration index and concentration ratio are used in this paper.Multiple linear regression models are also applied to try to explore the internal driving mechanisms on manufacturing geographical agglomeration.The results show that:1) the manufacturing agglomeration degree of Jilin Province is increasing gradually.The spatial polarization structure is visible;and the central region is the agglomeration area,in addition,the manufacturing industries of Changchun Proper present a trend of dispersion;2) the structure of manufacturing industries has changed,and the concentration ratio of labor-intensive manufacturing industry is declining,while the proportions of technology-intensive and capital-intensive manufacturing industry are relatively rising;3) marketing level,location accessibility,labor resources,capital,science and technology innovation capability,scale economy and the level of globalization affect manufacturing agglomeration with different degree.There are significant differences of the effects about employment,technology,the quality of residents and the export-oriented market on the industrial concentration ratio;4) in the future,the impact of policy and institution,export-oriented market and quality of resident on manufacturing geographical agglomeration pattern will be more profound.
基金Under the auspices of National Natural Science Foundation of China(No.41371135)Jilin Province Science and Technology Guide Plan Soft Science Project(No.20120635)
文摘This paper constructed a carbon emission identity based on five factors： industrial activity, industrial structure, energy inten- sity, energy mix and carbon emission parameter, and analyzed manufacturing carbon emission trends in Jilin Province at subdivided industrial level through Log-Mean Divisia Index （LMDI） method. Results showed that manufacturing carbon emissions of Jilin Province increased 1.304 ~ 107t by 66% between 2004 and 2010. However, 2012 was a remarkable year in which carbon emissions decreased compared with 2011, the first fall since 2004. Industrial activity was the most important factor for the increase of carbon emissions, while energy intensity had the greatest impact on inhibiting carbon emission growth. Despite the impact of industrial structure on carbon emissions fluctuated, its overall trend inhibited carbon emission growth. Further, influences of industrial structure became gradually stronger and surpassed energy intensity in the period 2009-2010. These results conclude that reducing energy intensity is still the main way for carbon emission reduction in Jilin Province, hut industrial structure can not be ignored and it has great potential. Based on the analyses, the way of manufacturing industrial structure adjustment for Jilin Province is put forward.
文摘At present, China＇s animation industry is developing rapidly, the performance of the animation is through a series of design to complete, through the action to create the role of animation characters, which led to the audience resonance. This article mainly analyzes the influencing factors of character creation and the importance of characterization in characterization in the animation performance, and then explores the performance of the characterization in the animation performance. Hoping to through this theoretical study, the animation performance of the characterization of a deeper understanding.
文摘Analysis is given to energy sources home and abroad, the employed and customer market in oceanographic engineering and necessity of its development. Risk out of system is put forward just after marine industry into oceanographic engineering market. It also metions several influencing factors including politics, finance and ocean engineering materials.
文摘Diversification is the most notable character of the modern economy. Security early-warning management became the focus of China＇s Industrial Development. This article evaluated the influence factors of industrial security. Our country must build industry early warning management mechanism with Chinese characteristics. This could reduce the risk of market economy.
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.
文摘The development ofinternet technology makes the aquatic products retailers change their traditional intermediary function in succession, and improve the information flow in the market relying on internet technology. This text aims to discuss the feasibility of adoption of drop-shipping model by the aquatic products e-retailers under ＂Internet ＋＂ and its influence factors, and provide the aquatic products e-retailers with relevant advices and suggestions on adoption of drop-shipping model.
基金This research work was financially supported by the Shanghai Board of Education （2012-SHNGE-06ZD） , China Postdoctoral Science Foundation funded project （2013M531157） , and The Ministry of Education of Youth Fund Project of Humanities and Social Sciences Research （14YJC790152）
文摘By using principal component analysis, this paper selected some appropriate influencing indicators, and constructed multiple linear regression models to predict the development of energy-saving environmental protection industry（ESEPl） in Shanghai. The Influencing Factors can be categorized into comprehensive economic factors and environmental factors, and GDP of the second industries and the total industries GDP in comprehensive economic factors have the strongest correlation, while in the environmental index factors, the total discharge of waste water has the strongest correlation. On the basis of influencing factors study, the regression model shows that by the end of 2020, the industry investment will reach 89.788 billion RMB, which proves that the development of ESEPI in Shanghai would grow continuously and dramatically.
