游客满意度是休闲渔业景区制定管理决策的重要参考信息。通过探究游览过程中游客对各单一维度的满意程度与旅游总满意度之间的关系,管理者可以从中准确了解游客偏好、消费行为以及获取旅游产品设计等重要信息。据此,本文采取实地调研,获...游客满意度是休闲渔业景区制定管理决策的重要参考信息。通过探究游览过程中游客对各单一维度的满意程度与旅游总满意度之间的关系,管理者可以从中准确了解游客偏好、消费行为以及获取旅游产品设计等重要信息。据此,本文采取实地调研,获取11家全国休闲渔业示范基地1510份游客满意度信息,使用马尔科夫链蒙特卡洛法(Markov Chain Monte Carlo,MCMC),估算贝叶斯多元有序probit模型,并利用模型后验结果衡量休闲渔业游客7种分满意度对总体满意度的贡献。研究结果表明:渔憩体验满意度、景区环境满意度以及旅游餐饮满意度是对总体满意度影响程度最大的三种分满意度,所占比例分别为43.58%、24.67%、10.62%。展开更多
Computer simulation was used for predictive analysis of the effects of weather and soil type on crop yield in the U.S. crop insurance program. The Environmental Policy Integrated Climate （EPIC） model was modified to...Computer simulation was used for predictive analysis of the effects of weather and soil type on crop yield in the U.S. crop insurance program. The Environmental Policy Integrated Climate （EPIC） model was modified to include hail weather events, which completed the modifications necessary to simulate the four most frequent causes of crop yield loss （hail, excessive wet, excessive cold, and excessive dry） associated with soil type in Kansas, USA. At the region level, per hectare yields were simulated for corn, wheat, soybean, and sorghum. We concluded that it was possible to predict crop yields through computer simulation with greater than 93% accuracy. The hail damage model test indicated EPIC could predict hail-soil-induced yield losses reasonably well （R^2 〉 0.6）. The investigation of soil type influence on dryland sorghum and wheat production indicated that Wymore silty clay loam soil and Kenorna silt loam produced the highest sorghum yields statistically; Kuma silt loam, Roxbury silt loam, Crete silty clay loam, and Woodson silt soils produced the second highest sorghum yields statistically; and Richfiled silt loam, Wells loam, and Canadian sandy loam produced the lowest sorghum yields. By contrast, wheat production showed less sensitivity to soil type variation. The less sensitive response of wheat yields to the soil type could be largely due to the unconsidered small-scale variability of soil features.展开更多
It's been well recognized for the big role played by innovative rural cooperative financial organizations in terms of spreading farmers' operation risk,increasing farmers' income,and developing rural econo...It's been well recognized for the big role played by innovative rural cooperative financial organizations in terms of spreading farmers' operation risk,increasing farmers' income,and developing rural economy.However,no sufficient research has been conducted regarding those factors which may have effects on the farmer's willingness to participate in the new rural financial organization.This paper tries to fill out the gap of identifying various factors which may have potential influence on the farmer's willingness to participate in the new type of rural financial cooperatives.In the process,442 farmer households and small-micro-enterprises are sampled from the cooperative finance experiment villages in Panjin municipality of Liaoning province.The potential influencing factors are classified into four categories,including the famer household's characteristics,financial cooperative reputation,transaction costs,and service quality.A discrete Logit model is used for the parameter estimations.The results show that most assumed factors display statistical significance effect on the farmer's willingness to take part in the rural cooperative financing organizations but with different level of sensitivity.The cause and effect are fully discussed following by addressing policy issues related to the rural financing cooperative reforms.展开更多
文摘游客满意度是休闲渔业景区制定管理决策的重要参考信息。通过探究游览过程中游客对各单一维度的满意程度与旅游总满意度之间的关系,管理者可以从中准确了解游客偏好、消费行为以及获取旅游产品设计等重要信息。据此,本文采取实地调研,获取11家全国休闲渔业示范基地1510份游客满意度信息,使用马尔科夫链蒙特卡洛法(Markov Chain Monte Carlo,MCMC),估算贝叶斯多元有序probit模型,并利用模型后验结果衡量休闲渔业游客7种分满意度对总体满意度的贡献。研究结果表明:渔憩体验满意度、景区环境满意度以及旅游餐饮满意度是对总体满意度影响程度最大的三种分满意度,所占比例分别为43.58%、24.67%、10.62%。
基金supported by the Risk Management Agency Strategic Data Acquisition and Analysis Division Research Fund of United States Department of Agriculture (No.53-3151-2-00017)
文摘Computer simulation was used for predictive analysis of the effects of weather and soil type on crop yield in the U.S. crop insurance program. The Environmental Policy Integrated Climate （EPIC） model was modified to include hail weather events, which completed the modifications necessary to simulate the four most frequent causes of crop yield loss （hail, excessive wet, excessive cold, and excessive dry） associated with soil type in Kansas, USA. At the region level, per hectare yields were simulated for corn, wheat, soybean, and sorghum. We concluded that it was possible to predict crop yields through computer simulation with greater than 93% accuracy. The hail damage model test indicated EPIC could predict hail-soil-induced yield losses reasonably well （R^2 〉 0.6）. The investigation of soil type influence on dryland sorghum and wheat production indicated that Wymore silty clay loam soil and Kenorna silt loam produced the highest sorghum yields statistically; Kuma silt loam, Roxbury silt loam, Crete silty clay loam, and Woodson silt soils produced the second highest sorghum yields statistically; and Richfiled silt loam, Wells loam, and Canadian sandy loam produced the lowest sorghum yields. By contrast, wheat production showed less sensitivity to soil type variation. The less sensitive response of wheat yields to the soil type could be largely due to the unconsidered small-scale variability of soil features.
基金funded by the Sino-US international collaboration project funded by the U.S.Department of Agriculture Risk Management Agency through the Center for Agribusiness Excellence,Tarleton State University,Texas A&M University System(No.53-3151-2-00017)The general project of Humanities and Social Sciences,the Education Department of Liaoning province(W2014284)funded by China National Natural Science Foundation(Ref.No.71271040)
文摘It's been well recognized for the big role played by innovative rural cooperative financial organizations in terms of spreading farmers' operation risk,increasing farmers' income,and developing rural economy.However,no sufficient research has been conducted regarding those factors which may have effects on the farmer's willingness to participate in the new rural financial organization.This paper tries to fill out the gap of identifying various factors which may have potential influence on the farmer's willingness to participate in the new type of rural financial cooperatives.In the process,442 farmer households and small-micro-enterprises are sampled from the cooperative finance experiment villages in Panjin municipality of Liaoning province.The potential influencing factors are classified into four categories,including the famer household's characteristics,financial cooperative reputation,transaction costs,and service quality.A discrete Logit model is used for the parameter estimations.The results show that most assumed factors display statistical significance effect on the farmer's willingness to take part in the rural cooperative financing organizations but with different level of sensitivity.The cause and effect are fully discussed following by addressing policy issues related to the rural financing cooperative reforms.
