Once invertibility for a causal TARMA series is defined and accompanied by conditions on the probability parameters of the model, all focus concentrates on the maximum likelihood estimators. Under the coexistence of e...Once invertibility for a causal TARMA series is defined and accompanied by conditions on the probability parameters of the model, all focus concentrates on the maximum likelihood estimators. Under the coexistence of essential causality and invertibility, the estimators are shown to be convergent to the real values and asymptotically obedient to the Gaussian distribution: their variance matrix identifies with a classic result. Some real-like examples are simulated and simplification attempts include the derivation of the non-parametric chi-square test extension for stationary TAR series.展开更多
Making use of the data envelopment analysis （DEA） technique and taking undesirable fiscal phenomena into account, this paper comprehensively quantifies the public fnance performance of local governments in China dur...Making use of the data envelopment analysis （DEA） technique and taking undesirable fiscal phenomena into account, this paper comprehensively quantifies the public fnance performance of local governments in China during the course of fiscal decentralization reform. The introduction of undesirable fiscal outcomes into this assessment makes it possible to identify meaningful and informative characteristics of local public finance performance in China. When reforms are first implemented, local pubIic financial performance improves because undesirable fiscal phenomena have not yet become too serious. The tax sharing system reform did not work well in its early stages, and negatively impacted public expenditure e3ficiency. The reform started to play a substantial role between 2001 and 2005, when local governments experienced better public finance performance. Corresponding to the deterioration of the financial sector in recent years, local public financial performance worsened after 2007. Further reform of the current fiscal and taxation system is necessary in China, to ensure a brighter future for the nation.展开更多
This paper is concerned with the resource allocation problem based on data envelopment analysis （DEA） which is generally found in practice such as in public services and in production process. In management context,...This paper is concerned with the resource allocation problem based on data envelopment analysis （DEA） which is generally found in practice such as in public services and in production process. In management context, the resource allocation has to achieve the effective-efficient-equality aim and tries to balance the different desires of two management layers： central manager and each sector. In mathematical programming context, to solve the resource allocation asks for introducing many optimization techniques such as multiple-objective programming and goal programming. We construct an algorithm framework by using comprehensive DEA tools including CCR, BCC models, inverse DEA model, the most compromising common weights analysis model, and extra resource allocation algorithm. Returns to scale characteristic is put major place for analyzing DMUs＇ scale economies and used to select DMU candidates before resource allocation. By combining extra resource allocation algorithm with scale economies target, we propose a resource allocation solution, which can achieve the effective-efficient-equality target and also provide information for future resource allocation. Many numerical examples are discussed in this paper, which also verify our work.展开更多
This paper proposes an innovative procedure for designing efficient biomass-biofuel logistics networks(BBLNs).This procedure is based on the two-stage network data envelopment analysis(TSN-DEA)models that have been de...This paper proposes an innovative procedure for designing efficient biomass-biofuel logistics networks(BBLNs).This procedure is based on the two-stage network data envelopment analysis(TSN-DEA)models that have been developed to provide specific process guidance for the managers to improve the efficiency of the decision-making unit(DMU)with the TSN process.The crucial issue of the TSN-DEA is that the overall efficiency score depends on the DMUs under evaluation.Thus,the rankings for the DMUs generated by the TSN-DEA model are inconsistent.As a result,the TSN-DEA-based ranking methods are limited.The TSN-DEA’s inconsistency frequently makes it difficult for decision-makers to select the top-rated DMUs.We develop the transformed TSN(T-TSN)DEA method by applying the multi-criteria DEA model to overcome this issue.The proposed method transforms the DMUs with any number of inputs,intermediate measures,and outputs in the TSN process,through the multi-objective programming model with a minimax objective approach,into the DMUs with two inputs and one output in the single-stage network(SSN)process.Then,the well-known DEA methods for the SSN,such as the cross-efficiency and super-efficiency DEA methods,can be applied to evaluate and rank the transformed DMUs more consistently.We exhibit the applicability of the proposed approach for the BBLN design problem.A case study of South Carolina in the USA demonstrates that the proposed method performs well in identifying efficient BBLN schemes more consistently than the traditional TSN-DEA.展开更多
Subitizing is the ability to appraise a number of small quantities(up to four)rapidly and precisely.This system,however,can be impaired by distractors presented along with targets to be enumerated.To better understand...Subitizing is the ability to appraise a number of small quantities(up to four)rapidly and precisely.This system,however,can be impaired by distractors presented along with targets to be enumerated.To better understand whether this limitation arises in perceptual circuits or in the response selection stage,we investigated whether subitizing can endure in simultaneous comparison tasks.Participants were asked to compare the number of dots in two sets on the left and right sides of the screen,presented either simultaneously or sequentially.For comparing within the numerosity range(6-32 dots),both the error rate and reaction time increased steadily as the ratio between the two numbers compared approached“1.”Namely,a phenomenon labeled the ratio effect was revealed.For comparison with small numbers(<5),the sequential comparison task was errorless despite the ratio,suggesting the feature of subitizing.Individual efficiency(measured by the inverse efficiency score[IES])did not correlate between number ranges in sequential comparison,suggesting that distinct mechanisms were involved.However,we found that in simultaneous tasks,error rate and efficiency showed an increase as the ratios of the two numbers compared approached“1.”This is similar to the ratio effect revealed in the comparison for moderate numbers.Individual efficiency within these two ranges correlated,indicating that the enumeration within these two ranges was based on a single mechanism.These results suggest that subitizing cannot process sets in parallel,and numerosity takes the job whenever subitizing fails.展开更多
文摘Once invertibility for a causal TARMA series is defined and accompanied by conditions on the probability parameters of the model, all focus concentrates on the maximum likelihood estimators. Under the coexistence of essential causality and invertibility, the estimators are shown to be convergent to the real values and asymptotically obedient to the Gaussian distribution: their variance matrix identifies with a classic result. Some real-like examples are simulated and simplification attempts include the derivation of the non-parametric chi-square test extension for stationary TAR series.
基金sponsored by Project 985(2011SHKXZD001)Zhuo-Shi Talent Plan at Fudan Universitythe Shanghai Leading Academic Disciplines Project(B101)
文摘Making use of the data envelopment analysis （DEA） technique and taking undesirable fiscal phenomena into account, this paper comprehensively quantifies the public fnance performance of local governments in China during the course of fiscal decentralization reform. The introduction of undesirable fiscal outcomes into this assessment makes it possible to identify meaningful and informative characteristics of local public finance performance in China. When reforms are first implemented, local pubIic financial performance improves because undesirable fiscal phenomena have not yet become too serious. The tax sharing system reform did not work well in its early stages, and negatively impacted public expenditure e3ficiency. The reform started to play a substantial role between 2001 and 2005, when local governments experienced better public finance performance. Corresponding to the deterioration of the financial sector in recent years, local public financial performance worsened after 2007. Further reform of the current fiscal and taxation system is necessary in China, to ensure a brighter future for the nation.
基金This research is supported by 973 Program under Grant No.2006CB701306
文摘This paper is concerned with the resource allocation problem based on data envelopment analysis （DEA） which is generally found in practice such as in public services and in production process. In management context, the resource allocation has to achieve the effective-efficient-equality aim and tries to balance the different desires of two management layers： central manager and each sector. In mathematical programming context, to solve the resource allocation asks for introducing many optimization techniques such as multiple-objective programming and goal programming. We construct an algorithm framework by using comprehensive DEA tools including CCR, BCC models, inverse DEA model, the most compromising common weights analysis model, and extra resource allocation algorithm. Returns to scale characteristic is put major place for analyzing DMUs＇ scale economies and used to select DMU candidates before resource allocation. By combining extra resource allocation algorithm with scale economies target, we propose a resource allocation solution, which can achieve the effective-efficient-equality target and also provide information for future resource allocation. Many numerical examples are discussed in this paper, which also verify our work.
文摘This paper proposes an innovative procedure for designing efficient biomass-biofuel logistics networks(BBLNs).This procedure is based on the two-stage network data envelopment analysis(TSN-DEA)models that have been developed to provide specific process guidance for the managers to improve the efficiency of the decision-making unit(DMU)with the TSN process.The crucial issue of the TSN-DEA is that the overall efficiency score depends on the DMUs under evaluation.Thus,the rankings for the DMUs generated by the TSN-DEA model are inconsistent.As a result,the TSN-DEA-based ranking methods are limited.The TSN-DEA’s inconsistency frequently makes it difficult for decision-makers to select the top-rated DMUs.We develop the transformed TSN(T-TSN)DEA method by applying the multi-criteria DEA model to overcome this issue.The proposed method transforms the DMUs with any number of inputs,intermediate measures,and outputs in the TSN process,through the multi-objective programming model with a minimax objective approach,into the DMUs with two inputs and one output in the single-stage network(SSN)process.Then,the well-known DEA methods for the SSN,such as the cross-efficiency and super-efficiency DEA methods,can be applied to evaluate and rank the transformed DMUs more consistently.We exhibit the applicability of the proposed approach for the BBLN design problem.A case study of South Carolina in the USA demonstrates that the proposed method performs well in identifying efficient BBLN schemes more consistently than the traditional TSN-DEA.
基金supported by the Funds of the National Natural Science Foundation of China(Grant 32060192,31500879)from European Research Council(ERC)under the European Union’s Horizon 2020 research and innovation programme(Grant Agreement 832813-GenPercept)from Italian Ministry of Education,University,and Research under the PRIN2017 programme(2017SBCPZY-“Temporal context in perception:serial dependence and rhythmic oscillations”).
文摘Subitizing is the ability to appraise a number of small quantities(up to four)rapidly and precisely.This system,however,can be impaired by distractors presented along with targets to be enumerated.To better understand whether this limitation arises in perceptual circuits or in the response selection stage,we investigated whether subitizing can endure in simultaneous comparison tasks.Participants were asked to compare the number of dots in two sets on the left and right sides of the screen,presented either simultaneously or sequentially.For comparing within the numerosity range(6-32 dots),both the error rate and reaction time increased steadily as the ratio between the two numbers compared approached“1.”Namely,a phenomenon labeled the ratio effect was revealed.For comparison with small numbers(<5),the sequential comparison task was errorless despite the ratio,suggesting the feature of subitizing.Individual efficiency(measured by the inverse efficiency score[IES])did not correlate between number ranges in sequential comparison,suggesting that distinct mechanisms were involved.However,we found that in simultaneous tasks,error rate and efficiency showed an increase as the ratios of the two numbers compared approached“1.”This is similar to the ratio effect revealed in the comparison for moderate numbers.Individual efficiency within these two ranges correlated,indicating that the enumeration within these two ranges was based on a single mechanism.These results suggest that subitizing cannot process sets in parallel,and numerosity takes the job whenever subitizing fails.
