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
By using the relevant data from 273 valid questionnaires of rural households in Jianhu County, Jiangsu Province, this study emphasizes on the factors of rural households' credit and loan demand by Probit model. Th...By using the relevant data from 273 valid questionnaires of rural households in Jianhu County, Jiangsu Province, this study emphasizes on the factors of rural households' credit and loan demand by Probit model. The results show that the factors that influencing the credit demand of rural households include the features of the rural households, the economic activities of rural households and so on. Among the factors, the operation expenditure of rural households, the education degree of the household head and the understanding degree of the rural credit policies have great impact on the rural households' credit and loan demand. In the end, the suggestions on the basis of the research are put forward: developing diversified economy; improving rural households' income; increasing the reserve of rural labor resources and enhancing farmers' quality; strengthening the promotion of rural credit cooperative and perfecting the service quality of rural credit cooperative.展开更多
In the classical inventory models, it is assumed that the retailer pays to the supplier as soon as he received the items and in such cases the supplier offers a cash discount or credit period (permis-sible delay) to t...In the classical inventory models, it is assumed that the retailer pays to the supplier as soon as he received the items and in such cases the supplier offers a cash discount or credit period (permis-sible delay) to the retailer. In this paper we presented an inventory model for perishable items with time varying stock dependent demand under inflation. It is assumed that the supplier offers a credit period to the retailer and the length of credit period is dependent on the order quantity. The purpose of our study is to minimize the present value of retailer’s total cost. Numerical examples are also given to demonstrate the presented mode.展开更多
This article models a novel driving-day-based tradable credit scheme (DD-TCS) to alleviate urban traffic congestion. In this model, car-using allowances (in terms of the number of days in a month, termed as "cred...This article models a novel driving-day-based tradable credit scheme (DD-TCS) to alleviate urban traffic congestion. In this model, car-using allowances (in terms of the number of days in a month, termed as "credit") are freely and uniformly allocated to all travellers, who are also allowed to trade them in a market according to his/her travel needs (e.g. driving more or fewer days than the free endowment). As opposed to most studies on TCS, this paper explicitly considers the transaction cost (e.g. infor-mation cost of finding potential traders) in the trading market. To assess the feasibility of DD-TCS, we compare it against the license plate rationing (LPR) scheme, which has been practically implemented in many cities such as Beijing and Chengdu in China. Taking the performance of LPR as a benchmark, we quantify the threshold values of the transaction cost in DD-TCS when the two schemes yield equivalent performance (in terms of the total gener-alized cost). In numerical studies, we also compare the DD-TCS and LPR with the no-action case and the congestion pricing case (representing the theoretical optimum). Results show that both DD-TCS and LPR outperform the no-action case under certain conditions. With small trans-action cost, DD-TCS may achieve a lower system cost that can be very close to the ideal optimum. In addition, parameter analysis shows that DD-TCS performs better than LPR in a wide range of transaction cost, where the threshold values appear to account for a considerable portion of the auto travel time. This implies that DD-TCS will be more appealing than LPR in practice because a transaction cost lower than the extremely large threshold values can be easily achieved for the trading market, e.g. via a mobile platform and modern communication techniques.展开更多
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Supported by National Natural Science Funds (70803021 )the Ph. D. Programs Foundation of Ministry of Education of China(20070307057)
文摘By using the relevant data from 273 valid questionnaires of rural households in Jianhu County, Jiangsu Province, this study emphasizes on the factors of rural households' credit and loan demand by Probit model. The results show that the factors that influencing the credit demand of rural households include the features of the rural households, the economic activities of rural households and so on. Among the factors, the operation expenditure of rural households, the education degree of the household head and the understanding degree of the rural credit policies have great impact on the rural households' credit and loan demand. In the end, the suggestions on the basis of the research are put forward: developing diversified economy; improving rural households' income; increasing the reserve of rural labor resources and enhancing farmers' quality; strengthening the promotion of rural credit cooperative and perfecting the service quality of rural credit cooperative.
文摘In the classical inventory models, it is assumed that the retailer pays to the supplier as soon as he received the items and in such cases the supplier offers a cash discount or credit period (permis-sible delay) to the retailer. In this paper we presented an inventory model for perishable items with time varying stock dependent demand under inflation. It is assumed that the supplier offers a credit period to the retailer and the length of credit period is dependent on the order quantity. The purpose of our study is to minimize the present value of retailer’s total cost. Numerical examples are also given to demonstrate the presented mode.
基金supported by the National Natural Science Foundation of China (Project No.51608455)
文摘This article models a novel driving-day-based tradable credit scheme (DD-TCS) to alleviate urban traffic congestion. In this model, car-using allowances (in terms of the number of days in a month, termed as "credit") are freely and uniformly allocated to all travellers, who are also allowed to trade them in a market according to his/her travel needs (e.g. driving more or fewer days than the free endowment). As opposed to most studies on TCS, this paper explicitly considers the transaction cost (e.g. infor-mation cost of finding potential traders) in the trading market. To assess the feasibility of DD-TCS, we compare it against the license plate rationing (LPR) scheme, which has been practically implemented in many cities such as Beijing and Chengdu in China. Taking the performance of LPR as a benchmark, we quantify the threshold values of the transaction cost in DD-TCS when the two schemes yield equivalent performance (in terms of the total gener-alized cost). In numerical studies, we also compare the DD-TCS and LPR with the no-action case and the congestion pricing case (representing the theoretical optimum). Results show that both DD-TCS and LPR outperform the no-action case under certain conditions. With small trans-action cost, DD-TCS may achieve a lower system cost that can be very close to the ideal optimum. In addition, parameter analysis shows that DD-TCS performs better than LPR in a wide range of transaction cost, where the threshold values appear to account for a considerable portion of the auto travel time. This implies that DD-TCS will be more appealing than LPR in practice because a transaction cost lower than the extremely large threshold values can be easily achieved for the trading market, e.g. via a mobile platform and modern communication techniques.
