Digital village construction opens a new vista for fulfilling consumption capabilities and optimizing consumption patterns in rural areas.For this research,we used the microdata on rural households from the 2019 China...Digital village construction opens a new vista for fulfilling consumption capabilities and optimizing consumption patterns in rural areas.For this research,we used the microdata on rural households from the 2019 China Household Finance Survey(CHFS)to conduct an empirical examination of the impact of digital village construction on the upgrading of rural household consumption and its possible influence mechanisms in the endogenous switching regression(ESR)model.Our research findings can be summarized in three points.First,digital village construction has significantly contributed positive contributions to the improvements and upgrading of rural household consumption.Second,digital village construction can help upgrade rural household consumption by increasing their participation in online shopping and expanding online shopping channels.Third,digital village construction means different things to rural households at different levels of risk exposure,with its facilitation to consumption upgrades in proportion to income risks facing rural households.Our research findings,which came from an extensive,in-depth exploration of the factors influencing rural household consumption,are of practical significance and policy value to the stimulating and fulfilling of consumption potentials among rural households.展开更多
In the engineering field,switching systems have been extensively studied,where sudden changes of parameter value and structural form have a significant impact on the operational performance of the system.Therefore,it ...In the engineering field,switching systems have been extensively studied,where sudden changes of parameter value and structural form have a significant impact on the operational performance of the system.Therefore,it is important to predict the behavior of the switching system,which includes the accurate detection of mutation points and rapid reidentification of the model.However,few efforts have been contributed to accurately locating the mutation points.In this paper,we propose a new measure of mutation detection—the threshold-based switching index by analogy with the Lyapunov exponent.We give the algorithm for selecting the optimal threshold,which greatly reduces the additional data collection and the relative error of mutation detection.In the system identification part,considering the small data amount available and noise in the data,the abrupt sparse Bayesian regression(abrupt-SBR)method is proposed.This method captures the model changes by updating the previously identified model,which requires less data and is more robust to noise than identifying the new model from scratch.With two representative dynamical systems,we illustrate the application and effectiveness of the proposed methods.Our research contributes to the accurate prediction and possible control of switching system behavior.展开更多
Southern Malawi is continuously affected by tropical cyclone-related floods(TCRFs),which have negative consequences on households'livelihoods,thereby displacing most households to neighbouring communities of Mozam...Southern Malawi is continuously affected by tropical cyclone-related floods(TCRFs),which have negative consequences on households'livelihoods,thereby displacing most households to neighbouring communities of Mozambique.The TCRFs have further threatened national,regional,community,and household food security agenda,which is already constrained by poverty,poor agricultural practices,low use of improved varieties,unaffordable inorganic fertilizers,and fragmenting landholding sizes.Accordingly,households have indigenously engineered resilience-based Sustainable Landscape Management(SLM)practices,like intercropping,agroforestry,cover cropping,and soil and water conservation practices,against the adverse effects of TCRFs on-farm productivity.Hence,this study examines the effect of TCRFs and SLM adoption on-farm productivity.While using rigorous endogenous switching regression econometric tools,the study finds TCRFs reducing farm productivity by 27 percent.After SLM adoption,the study observes farm productivity enhancement by 29-126 percent when households adopt at least one SLM practices under varying degrees of TCRFs.Despite the highlighted advantages of SLM adoption,female farmers are less likely to adopt SLM practices because they do not have access to productive resources.Hence,the study proposes the need of gender targeted extension services,accompanied by some seed capital for SLM adoption.Besides,there is need to sensitize farmers on the complementarities between inorganic fertilizer and SLM practices.Lastly,future studies should assess the effect of sustained SLM adoption or dis-adoption and input intensification on farm productivity.展开更多
Manufacturers keep bringing necessary rectifications in the products to achieve constant market penetration and high customer satisfaction.The present paper proposes a modeling framework wherein the impact of customer...Manufacturers keep bringing necessary rectifications in the products to achieve constant market penetration and high customer satisfaction.The present paper proposes a modeling framework wherein the impact of customer satisfaction with the first generation of a product is measured and its significant role has been incorporated in the adoption of a subsequent generation of the product.The model also integrates the influence of competition which is classified under two categories such that:-(a)competition within successive generations of the brand;and(b)competition among different brands.Further,model validation is performed using telecommunication industry sales data and sales are forecasted in two different ways i.e.using secondary data(a formal way)and primary data;where a survey of first-generation consumers is carried out and the concept of brand switching analysis and logistic regression have applied to analyze the market switching behavior and the satisfaction measure in the proposed models.展开更多
基金the“High-quality Development,Credit Assets,and Digital Economy”project(KY2023E0122)funded by the Beijing Academy of Social Sciencesthe Sichuan Philosophy and Social Science Planning project(SC21B0310)+2 种基金a technological innovation capacity building program(KTYTD202233)a college students’innovation and entrepreneurship program(202310621238,202310621243)supported by Chengdu University of Information Technology.
文摘Digital village construction opens a new vista for fulfilling consumption capabilities and optimizing consumption patterns in rural areas.For this research,we used the microdata on rural households from the 2019 China Household Finance Survey(CHFS)to conduct an empirical examination of the impact of digital village construction on the upgrading of rural household consumption and its possible influence mechanisms in the endogenous switching regression(ESR)model.Our research findings can be summarized in three points.First,digital village construction has significantly contributed positive contributions to the improvements and upgrading of rural household consumption.Second,digital village construction can help upgrade rural household consumption by increasing their participation in online shopping and expanding online shopping channels.Third,digital village construction means different things to rural households at different levels of risk exposure,with its facilitation to consumption upgrades in proportion to income risks facing rural households.Our research findings,which came from an extensive,in-depth exploration of the factors influencing rural household consumption,are of practical significance and policy value to the stimulating and fulfilling of consumption potentials among rural households.
基金the National Natural Science Foundation of China(Grant No.12072261)。
文摘In the engineering field,switching systems have been extensively studied,where sudden changes of parameter value and structural form have a significant impact on the operational performance of the system.Therefore,it is important to predict the behavior of the switching system,which includes the accurate detection of mutation points and rapid reidentification of the model.However,few efforts have been contributed to accurately locating the mutation points.In this paper,we propose a new measure of mutation detection—the threshold-based switching index by analogy with the Lyapunov exponent.We give the algorithm for selecting the optimal threshold,which greatly reduces the additional data collection and the relative error of mutation detection.In the system identification part,considering the small data amount available and noise in the data,the abrupt sparse Bayesian regression(abrupt-SBR)method is proposed.This method captures the model changes by updating the previously identified model,which requires less data and is more robust to noise than identifying the new model from scratch.With two representative dynamical systems,we illustrate the application and effectiveness of the proposed methods.Our research contributes to the accurate prediction and possible control of switching system behavior.
文摘Southern Malawi is continuously affected by tropical cyclone-related floods(TCRFs),which have negative consequences on households'livelihoods,thereby displacing most households to neighbouring communities of Mozambique.The TCRFs have further threatened national,regional,community,and household food security agenda,which is already constrained by poverty,poor agricultural practices,low use of improved varieties,unaffordable inorganic fertilizers,and fragmenting landholding sizes.Accordingly,households have indigenously engineered resilience-based Sustainable Landscape Management(SLM)practices,like intercropping,agroforestry,cover cropping,and soil and water conservation practices,against the adverse effects of TCRFs on-farm productivity.Hence,this study examines the effect of TCRFs and SLM adoption on-farm productivity.While using rigorous endogenous switching regression econometric tools,the study finds TCRFs reducing farm productivity by 27 percent.After SLM adoption,the study observes farm productivity enhancement by 29-126 percent when households adopt at least one SLM practices under varying degrees of TCRFs.Despite the highlighted advantages of SLM adoption,female farmers are less likely to adopt SLM practices because they do not have access to productive resources.Hence,the study proposes the need of gender targeted extension services,accompanied by some seed capital for SLM adoption.Besides,there is need to sensitize farmers on the complementarities between inorganic fertilizer and SLM practices.Lastly,future studies should assess the effect of sustained SLM adoption or dis-adoption and input intensification on farm productivity.
文摘Manufacturers keep bringing necessary rectifications in the products to achieve constant market penetration and high customer satisfaction.The present paper proposes a modeling framework wherein the impact of customer satisfaction with the first generation of a product is measured and its significant role has been incorporated in the adoption of a subsequent generation of the product.The model also integrates the influence of competition which is classified under two categories such that:-(a)competition within successive generations of the brand;and(b)competition among different brands.Further,model validation is performed using telecommunication industry sales data and sales are forecasted in two different ways i.e.using secondary data(a formal way)and primary data;where a survey of first-generation consumers is carried out and the concept of brand switching analysis and logistic regression have applied to analyze the market switching behavior and the satisfaction measure in the proposed models.
