In 2005,India's challenge to the European C ommunity's(EC) Generalized System of Preferences(GSP) scheme resulted in a landmark ruling by the W T O 's Appellate Body.T he Appellate Body had a landmark find...In 2005,India's challenge to the European C ommunity's(EC) Generalized System of Preferences(GSP) scheme resulted in a landmark ruling by the W T O 's Appellate Body.T he Appellate Body had a landmark finding that the Enabling C lause imposes legal obligation on the preference-granting countries,w hich for a long time considered GSP treatment a conditional gift and designed their ow n GSP scheme as they saw fit.How ever,the guidance given by the EC-Preference case is far from clear: the legal uncertainties of the "nexus"requirement,combined with the open questions in the"non-discriminatory"requirement,make the Appellate Body's decision difficult to implement.As a result,the decision put the legitimacy of the conditional preferential treatments in EC and the U.S.GSP in doubt.O n the other hand,the Appellate Body's decision w as subject to certain practical limitations of the case and generated a good number of legal uncertainties in the area of conditional GSP.T he GSP nevertheless serves the developing w orld even better by forgoing the GSP completely.In conclusion,the operation and the future of the GSP currently remains an unsettled area in the W T O system,w hich w ill be further addressed by later GSP practice.展开更多
为倡导绿色出行理念,解决以往研究在处理重复观测数据时容易忽视的潜在相关性和个体异质性问题,针对如何利用智能手机APP提供的多模式出行信息引导小汽车出行者转向停车换乘(Park-and-Ride,P+R)模式进行了探究,同时引入广义线性混合模型...为倡导绿色出行理念,解决以往研究在处理重复观测数据时容易忽视的潜在相关性和个体异质性问题,针对如何利用智能手机APP提供的多模式出行信息引导小汽车出行者转向停车换乘(Park-and-Ride,P+R)模式进行了探究,同时引入广义线性混合模型(Generalized Linear Mixed Model,GLMM)分析了多模式出行信息对小汽车出行者转向P+R意向的影响。首先,基于上海市路网设计意向调查问卷,整合了自驾和P+R两种出行方式的道路拥堵程度、出行时间、停车费用及地铁车厢座位情况等信息,并运用全因子设计法构建了24种不同信息水平组合的假设情景。然后,通过智能手机APP界面示意图向小汽车出行者展示这些多模式出行信息,并收集其转向P+R的意向数据。最后,运用GLMM方法处理同一个体重复决策数据中潜在的相关性和捕捉个体间的异质性。结果显示,GLMM的应用不仅解决了同一个体重复决策间的相关性,还揭示了不同个体对道路拥堵程度和地铁车厢座位情况的差异化关注;智能手机APP整合的多模式出行信息显著提升了小汽车出行者转向P+R的意愿,且这一转变占比达29.2%;高收入、长驾龄以及对P+R政策不了解的出行者转向P+R的意愿较低。研究表明,通过智能手机APP整合自驾和P+R的多模式出行信息能显著增强P+R方式的吸引力,可为提升P+R的普及率提供新思路,有效促进小汽车出行者向绿色出行方式的转变。展开更多
In this paper, a new decision making approach is proposed for the multi-attribute large group emergency decision-making problem that attribute weights are unknown and expert preference information is expressed by gene...In this paper, a new decision making approach is proposed for the multi-attribute large group emergency decision-making problem that attribute weights are unknown and expert preference information is expressed by generalized interval-valued trapezoidal fuzzy numbers （GITFNs）. Firstly, a degree of similarity formula between GITFNs is presented. Secondly, expert preference information on different alternatives is clustered into several aggregations via the fuzzy clustering method. As the clustering proceeds, an index of group preference consistency is introduced to ensure the clustering effect, and then the group preference information on different alternatives is obtained. Thirdly, the TOPSIS method is used to rank the alternatives. Finally, an example is taken to show the feasibility and effectiveness of this approach. These method can ensure the consistency degree of group preference, thus decision efficiency of emergency response activities can be improved.展开更多
When we try to estimate future environmental costs resulting from our current economic activities,we usually calculate the present value of the consequences for our future generations by utilizing a discount rate as a...When we try to estimate future environmental costs resulting from our current economic activities,we usually calculate the present value of the consequences for our future generations by utilizing a discount rate as a standard economic procedure.The popularity of this procedure is solely supported by its simplicity which assumes:(1)a perfect financial market over even 100 years,and(2)existence of a stable time preference between two consecutive periods for an individual consumer.An apparent deficiency of this approach is that the present value of life quality of future generations varies to a large extent along an arbitrarily chosen discount rate.As a matter of fact,the discount rate,which could reflect the time preference as2%or 5%,matters when we predict current strategies of environmental protection for future generations.Simply applying a discount rate to evaluate the quality of our future generation,without clarifying the actual production mechanism behind this,is almost to the same as ignoring the fact that all of the goods are produced through an actual production process and that environmental degradation reduces the efficiency of that process.The greatest concern for our future generations should not be given by an assumed discount rate,since the discount rate itself is determined by financial market conditions at certain points in time.展开更多
文摘In 2005,India's challenge to the European C ommunity's(EC) Generalized System of Preferences(GSP) scheme resulted in a landmark ruling by the W T O 's Appellate Body.T he Appellate Body had a landmark finding that the Enabling C lause imposes legal obligation on the preference-granting countries,w hich for a long time considered GSP treatment a conditional gift and designed their ow n GSP scheme as they saw fit.How ever,the guidance given by the EC-Preference case is far from clear: the legal uncertainties of the "nexus"requirement,combined with the open questions in the"non-discriminatory"requirement,make the Appellate Body's decision difficult to implement.As a result,the decision put the legitimacy of the conditional preferential treatments in EC and the U.S.GSP in doubt.O n the other hand,the Appellate Body's decision w as subject to certain practical limitations of the case and generated a good number of legal uncertainties in the area of conditional GSP.T he GSP nevertheless serves the developing w orld even better by forgoing the GSP completely.In conclusion,the operation and the future of the GSP currently remains an unsettled area in the W T O system,w hich w ill be further addressed by later GSP practice.
文摘为倡导绿色出行理念,解决以往研究在处理重复观测数据时容易忽视的潜在相关性和个体异质性问题,针对如何利用智能手机APP提供的多模式出行信息引导小汽车出行者转向停车换乘(Park-and-Ride,P+R)模式进行了探究,同时引入广义线性混合模型(Generalized Linear Mixed Model,GLMM)分析了多模式出行信息对小汽车出行者转向P+R意向的影响。首先,基于上海市路网设计意向调查问卷,整合了自驾和P+R两种出行方式的道路拥堵程度、出行时间、停车费用及地铁车厢座位情况等信息,并运用全因子设计法构建了24种不同信息水平组合的假设情景。然后,通过智能手机APP界面示意图向小汽车出行者展示这些多模式出行信息,并收集其转向P+R的意向数据。最后,运用GLMM方法处理同一个体重复决策数据中潜在的相关性和捕捉个体间的异质性。结果显示,GLMM的应用不仅解决了同一个体重复决策间的相关性,还揭示了不同个体对道路拥堵程度和地铁车厢座位情况的差异化关注;智能手机APP整合的多模式出行信息显著提升了小汽车出行者转向P+R的意愿,且这一转变占比达29.2%;高收入、长驾龄以及对P+R政策不了解的出行者转向P+R的意愿较低。研究表明,通过智能手机APP整合自驾和P+R的多模式出行信息能显著增强P+R方式的吸引力,可为提升P+R的普及率提供新思路,有效促进小汽车出行者向绿色出行方式的转变。
基金supported by a grant from Natural Science Foundation in China(71171202, 71171201,71210003)the Science Foundation for National Innovation Research Group in China(71221061)Key Project for National Natural Science Foundation in China (71431006)
文摘In this paper, a new decision making approach is proposed for the multi-attribute large group emergency decision-making problem that attribute weights are unknown and expert preference information is expressed by generalized interval-valued trapezoidal fuzzy numbers （GITFNs）. Firstly, a degree of similarity formula between GITFNs is presented. Secondly, expert preference information on different alternatives is clustered into several aggregations via the fuzzy clustering method. As the clustering proceeds, an index of group preference consistency is introduced to ensure the clustering effect, and then the group preference information on different alternatives is obtained. Thirdly, the TOPSIS method is used to rank the alternatives. Finally, an example is taken to show the feasibility and effectiveness of this approach. These method can ensure the consistency degree of group preference, thus decision efficiency of emergency response activities can be improved.
基金supported by Grant-in-Aid for Asian CORE Program "Manufacturing and Environmental Management in East Asia" of Japan Society for the Promotion of Science(JSPS)
文摘When we try to estimate future environmental costs resulting from our current economic activities,we usually calculate the present value of the consequences for our future generations by utilizing a discount rate as a standard economic procedure.The popularity of this procedure is solely supported by its simplicity which assumes:(1)a perfect financial market over even 100 years,and(2)existence of a stable time preference between two consecutive periods for an individual consumer.An apparent deficiency of this approach is that the present value of life quality of future generations varies to a large extent along an arbitrarily chosen discount rate.As a matter of fact,the discount rate,which could reflect the time preference as2%or 5%,matters when we predict current strategies of environmental protection for future generations.Simply applying a discount rate to evaluate the quality of our future generation,without clarifying the actual production mechanism behind this,is almost to the same as ignoring the fact that all of the goods are produced through an actual production process and that environmental degradation reduces the efficiency of that process.The greatest concern for our future generations should not be given by an assumed discount rate,since the discount rate itself is determined by financial market conditions at certain points in time.
