The competition and cooperation between traditional telecom operators and resale operators in the supply chain are discussed, when the telecom industry developed telecommunication resale service. Supply chain contract...The competition and cooperation between traditional telecom operators and resale operators in the supply chain are discussed, when the telecom industry developed telecommunication resale service. Supply chain contract is an effective way to coordinate the supply chain. This paper analyzes the revenue-sharing contract between telecom operators and resale operators. The study shows that by setting up a rational revenue-sharing ratio and wholesale price, a revenue-sharing contract can coordinate this supply chain, and telecom operators and resale operators can achieve a 'win-win' solution.展开更多
Resale price maintenance(RPM) exerts both positive and negative influences on the market competition.Such duality and the consequent difficulties in presenting evidence have often become highly controversial issues in...Resale price maintenance(RPM) exerts both positive and negative influences on the market competition.Such duality and the consequent difficulties in presenting evidence have often become highly controversial issues in anti-monopoly law enforcement.We found that in reality,effects of jump-dealing and RPM can offset each other.This paper systematically proposed the offsetting theory of jump-dealing and RPM,and analyzed their policy implications for anti price monopoly,thus providing some simple principles and methods to the law enforcement against vertical price monopoly.This will not only reduce the possible "superfluous actions " in current law enforcement,but also help avoid compounded mistakes due to difficulties of enforcement.展开更多
Green housing reduces resource consumption and protects the ecological environment.Sustainable buildings and construction have gained increasing attention in the last decade.Many empirical studies have confirmed that ...Green housing reduces resource consumption and protects the ecological environment.Sustainable buildings and construction have gained increasing attention in the last decade.Many empirical studies have confirmed that green housing imposes a price premium at the presale stage.The high price could be a concern that prevents homebuyers from purchasing green buildings.However,there is a lack of empirical evidence on whether the premium pricing could be compensated for by the resale price.To address this gap,this study establishes a hedonic regression model to estimate the price premium of green housing at the resale stage.The results show that green housing certified with the Chinese Green Building Label(CGBL)offers a 6%price premium compared with non-green housing at the resale stage.The results also show that green housing with a higher level of green certification,e.g.,the 3-star CGBL,provides a greater price premium at resale.The findings indicate that homebuyers can obtain financial compensation for the high cost when purchasing a green home.Our findings also indicate that the price premium for reselling a green home is not always enough to compensate for the purchase cost in different cities.Policy recommendations for government promotion of green housing are also discussed.展开更多
The paper aims at exploring the relationship between housing resale prices and neighborhood features in Zhuhai,as well as structure and location characteristics.Thirteen neighborhood features are collected to analyze ...The paper aims at exploring the relationship between housing resale prices and neighborhood features in Zhuhai,as well as structure and location characteristics.Thirteen neighborhood features are collected to analyze their influence on average community-level apartment resale prices in 2018.Six neighbor-hood features,structural and location characteristics,are selected according to their statistical significance and multi-collinearity test results from an OLS model.Regression analysis is performed by OLS,GWR,and MGWR to compare their per-formance in housing price research at community level.The comparison of the three models also demonstrates that the GWR(66%)and MGWR(68%)models perform much better than OLS model(52%).MGWR is not significantly different from GWR in areas with few sample points,and the optimal bandwidth at different spatial scales is hard to be captured in a city-level study area.The regression parameter indicates that building age is the most important factor among all influen-cing factors.Proximity to schools and factories have positive and negative significant effects on housing resale prices,respectively.The spatial pattern of neighborhood features is also detected at town level.GWR and MGWR models accurately demonstrate local spatial heterogeneity of the housing resale market,which provides better results than the traditional OLS model in the goodness of fit and parameter estimates when spatial dependency is present.The results provide references for local planning departments,helping to reveal the compli-cated relationship and spatial patterns between housing price and determinants over space.展开更多
With the rise of the Internet and E-commence,it has become common for consumers in the book,clothing,electronic appliances,furniture and cosmetic industries to engage in a phenomenon termed"store-browsing-web-pur...With the rise of the Internet and E-commence,it has become common for consumers in the book,clothing,electronic appliances,furniture and cosmetic industries to engage in a phenomenon termed"store-browsing-web-purchasing"(SBWP).These are customers who tend to acquire service and information about particular products at traditional(brick and motar)retail stores but purchase them online at a lower price.This creates new issues and new perspectives to the science of law and economics.This paper addresses the issue of SBWP based on the industrial organization theory(especially the vertical dual-pricing system).It then endeavors to demonstrate the three"jump-dealing"theorems of SBWP from analyzing the business models,consumer purchasing patterns and price differences in distributing channels.Furthermore,we extrapolate the theory of jump-dealing and resale price maintenance(RPM)offsetting based on previous findings.The main conclusions are the following:if a company's RPM strategies substantially eliminate competition,then jump-dealing behavior from consumers shouM be encouraged.Conversely,if this jump-dealing behavior from consumers brings about anti-competition and free riding problems,then a company's RPM strategies should be exempted.展开更多
Purpose:The goal of our research is to suggest specific Web metrics that are useful for evaluating and improving user navigation experience on informational websites.Design/methodology/approach:We revised metrics in a...Purpose:The goal of our research is to suggest specific Web metrics that are useful for evaluating and improving user navigation experience on informational websites.Design/methodology/approach:We revised metrics in a Web forensic framework proposed in the literature and defined the metrics of footprint,track and movement.Data were obtained from user clickstreams provided by a real estate site’s administrators.There were two phases of data analysis with the first phase on navigation behavior based on user footprints and tracks,and the second phase on navigational transition patterns based on user movements.Findings:Preliminary results suggest that the apartment pages were heavily-trafficked while the agent pages and related information pages were underused to a great extent.Navigation within the same category of pages was prevalent,especially when users navigated among the regional apartment listings.However,navigation of these pages was found to be inefficient.Research limitations:The suggestions for navigation design optimization provided in the paper are specific to this website,and their applicability to other online environments needs to be verified.Preference predications or personal recommendations are not made during the current stage of research.Practical implications:Our clickstream data analysis results offer a base for future research.Meanwhile,website administrators and managers can make better use of the readily available clickstream data to evaluate the effectiveness and efficiency of their site navigation design.Originality/value:Our empirical study is valuable to those seeking analysis metrics for evaluating and improving user navigation experience on informational websites based on clickstream data.Our attempts to analyze the log file in terms of footprint,track and movement will enrich the utilization of such trace data to engender a deeper understanding of users’within-site navigation behavior.展开更多
Highly active and stable electrocatalysts are mandatory for developing high-performance and longlasting fuel cells.The current study demonstrates a high oxygen reduction reaction(ORR)electrocatalytic activity of a nov...Highly active and stable electrocatalysts are mandatory for developing high-performance and longlasting fuel cells.The current study demonstrates a high oxygen reduction reaction(ORR)electrocatalytic activity of a novel spinel-structured LaFe_(2)O_(4)via a self-doping strategy.The LaFe_(2)O_(4)demonstrates excellent ORR activity in a protonic ceramic fuel cell(PCFC)at temperature range of 350-500℃.The high ORR activity of LaFe_(2)O_(4)is mainly attributed to the facile release of oxide and proton ions,and improved synergistic incorporation abilities associated with interplay of multivalent Fe^(3+)/Fe^(2+)and La^(3+)ions.Using LaFe_(2)O_(4)as cathode over proton conducting BaZr_(0.4)Ce_(0.4)Y_(0.2)O_(3)(BZCY)electrolyte,the fuel cell has delivered a high-power density of 806 mW/cm^(2)operating at 500℃.Different spectroscopic and calculations methods such as UV-visible,Raman,X-ray photoelectron spectroscopy and density functional theory(DFT)calculations were performed to screen the potential application of LaFe_(2)O_(4)as cathode.This study would help in developing functional cobalt-free ORR electrocatalysts for low temperature-PCFCs(LT-PCFCs)and solid oxide fuel cells(SOFCs)applications.展开更多
文摘The competition and cooperation between traditional telecom operators and resale operators in the supply chain are discussed, when the telecom industry developed telecommunication resale service. Supply chain contract is an effective way to coordinate the supply chain. This paper analyzes the revenue-sharing contract between telecom operators and resale operators. The study shows that by setting up a rational revenue-sharing ratio and wholesale price, a revenue-sharing contract can coordinate this supply chain, and telecom operators and resale operators can achieve a 'win-win' solution.
基金phase-wise achievement of the project B-T-C Paradigm and Application of "Jump-dealing"(Project No.:71272190)funded by the National Natural Science Foundation of China,headed by Professor Yu Li,vice president of Tianjin University of Finance and Economics,director of Center for Economic Analysis of Law and Policy Evaluation and member of Expert Advisory Board of the State Council Anti-monopoly Commission of China
文摘Resale price maintenance(RPM) exerts both positive and negative influences on the market competition.Such duality and the consequent difficulties in presenting evidence have often become highly controversial issues in anti-monopoly law enforcement.We found that in reality,effects of jump-dealing and RPM can offset each other.This paper systematically proposed the offsetting theory of jump-dealing and RPM,and analyzed their policy implications for anti price monopoly,thus providing some simple principles and methods to the law enforcement against vertical price monopoly.This will not only reduce the possible "superfluous actions " in current law enforcement,but also help avoid compounded mistakes due to difficulties of enforcement.
基金funded by the projects of the National Natural Science Foundation of China with grant no.(71403150)Shandong Province Social Science Foundation of China with grant no.(20CJJJ23)the Shandong Humanities and Social Science Research Program with grant no.(J13WG02).
文摘Green housing reduces resource consumption and protects the ecological environment.Sustainable buildings and construction have gained increasing attention in the last decade.Many empirical studies have confirmed that green housing imposes a price premium at the presale stage.The high price could be a concern that prevents homebuyers from purchasing green buildings.However,there is a lack of empirical evidence on whether the premium pricing could be compensated for by the resale price.To address this gap,this study establishes a hedonic regression model to estimate the price premium of green housing at the resale stage.The results show that green housing certified with the Chinese Green Building Label(CGBL)offers a 6%price premium compared with non-green housing at the resale stage.The results also show that green housing with a higher level of green certification,e.g.,the 3-star CGBL,provides a greater price premium at resale.The findings indicate that homebuyers can obtain financial compensation for the high cost when purchasing a green home.Our findings also indicate that the price premium for reselling a green home is not always enough to compensate for the purchase cost in different cities.Policy recommendations for government promotion of green housing are also discussed.
基金This work was supported by the European Union under the Erasmus+EACEA Grant Agreement 2018-1478 Programme 599182-EPP-1-2018-1-AT-EPPKA1-JMD-MOB。
文摘The paper aims at exploring the relationship between housing resale prices and neighborhood features in Zhuhai,as well as structure and location characteristics.Thirteen neighborhood features are collected to analyze their influence on average community-level apartment resale prices in 2018.Six neighbor-hood features,structural and location characteristics,are selected according to their statistical significance and multi-collinearity test results from an OLS model.Regression analysis is performed by OLS,GWR,and MGWR to compare their per-formance in housing price research at community level.The comparison of the three models also demonstrates that the GWR(66%)and MGWR(68%)models perform much better than OLS model(52%).MGWR is not significantly different from GWR in areas with few sample points,and the optimal bandwidth at different spatial scales is hard to be captured in a city-level study area.The regression parameter indicates that building age is the most important factor among all influen-cing factors.Proximity to schools and factories have positive and negative significant effects on housing resale prices,respectively.The spatial pattern of neighborhood features is also detected at town level.GWR and MGWR models accurately demonstrate local spatial heterogeneity of the housing resale market,which provides better results than the traditional OLS model in the goodness of fit and parameter estimates when spatial dependency is present.The results provide references for local planning departments,helping to reveal the compli-cated relationship and spatial patterns between housing price and determinants over space.
基金supported by National Natural Science Foundation of China(Grant No.71272190,"The B-T-C Paradigm and Application for'Jump-Dealing'Problems")
文摘With the rise of the Internet and E-commence,it has become common for consumers in the book,clothing,electronic appliances,furniture and cosmetic industries to engage in a phenomenon termed"store-browsing-web-purchasing"(SBWP).These are customers who tend to acquire service and information about particular products at traditional(brick and motar)retail stores but purchase them online at a lower price.This creates new issues and new perspectives to the science of law and economics.This paper addresses the issue of SBWP based on the industrial organization theory(especially the vertical dual-pricing system).It then endeavors to demonstrate the three"jump-dealing"theorems of SBWP from analyzing the business models,consumer purchasing patterns and price differences in distributing channels.Furthermore,we extrapolate the theory of jump-dealing and resale price maintenance(RPM)offsetting based on previous findings.The main conclusions are the following:if a company's RPM strategies substantially eliminate competition,then jump-dealing behavior from consumers shouM be encouraged.Conversely,if this jump-dealing behavior from consumers brings about anti-competition and free riding problems,then a company's RPM strategies should be exempted.
基金supported by the National Natural Science Foundation of China(Grant No.:71203163)the Foundation for Humanities and Social Sciences of the Chinese Ministry of Education(Grant No.:12YJC870011)
文摘Purpose:The goal of our research is to suggest specific Web metrics that are useful for evaluating and improving user navigation experience on informational websites.Design/methodology/approach:We revised metrics in a Web forensic framework proposed in the literature and defined the metrics of footprint,track and movement.Data were obtained from user clickstreams provided by a real estate site’s administrators.There were two phases of data analysis with the first phase on navigation behavior based on user footprints and tracks,and the second phase on navigational transition patterns based on user movements.Findings:Preliminary results suggest that the apartment pages were heavily-trafficked while the agent pages and related information pages were underused to a great extent.Navigation within the same category of pages was prevalent,especially when users navigated among the regional apartment listings.However,navigation of these pages was found to be inefficient.Research limitations:The suggestions for navigation design optimization provided in the paper are specific to this website,and their applicability to other online environments needs to be verified.Preference predications or personal recommendations are not made during the current stage of research.Practical implications:Our clickstream data analysis results offer a base for future research.Meanwhile,website administrators and managers can make better use of the readily available clickstream data to evaluate the effectiveness and efficiency of their site navigation design.Originality/value:Our empirical study is valuable to those seeking analysis metrics for evaluating and improving user navigation experience on informational websites based on clickstream data.Our attempts to analyze the log file in terms of footprint,track and movement will enrich the utilization of such trace data to engender a deeper understanding of users’within-site navigation behavior.
基金Project supported by the National Natural Science Foundation of China(51772080,11604088,51706093)Jiangsu Provence Talent Program(JSSCRC2021491)。
文摘Highly active and stable electrocatalysts are mandatory for developing high-performance and longlasting fuel cells.The current study demonstrates a high oxygen reduction reaction(ORR)electrocatalytic activity of a novel spinel-structured LaFe_(2)O_(4)via a self-doping strategy.The LaFe_(2)O_(4)demonstrates excellent ORR activity in a protonic ceramic fuel cell(PCFC)at temperature range of 350-500℃.The high ORR activity of LaFe_(2)O_(4)is mainly attributed to the facile release of oxide and proton ions,and improved synergistic incorporation abilities associated with interplay of multivalent Fe^(3+)/Fe^(2+)and La^(3+)ions.Using LaFe_(2)O_(4)as cathode over proton conducting BaZr_(0.4)Ce_(0.4)Y_(0.2)O_(3)(BZCY)electrolyte,the fuel cell has delivered a high-power density of 806 mW/cm^(2)operating at 500℃.Different spectroscopic and calculations methods such as UV-visible,Raman,X-ray photoelectron spectroscopy and density functional theory(DFT)calculations were performed to screen the potential application of LaFe_(2)O_(4)as cathode.This study would help in developing functional cobalt-free ORR electrocatalysts for low temperature-PCFCs(LT-PCFCs)and solid oxide fuel cells(SOFCs)applications.
