By setting the value of productive assets under different types of ownership of the means of production as the marginal criterion for measuring the relative position of each form of ownership, we estimate the scale of...By setting the value of productive assets under different types of ownership of the means of production as the marginal criterion for measuring the relative position of each form of ownership, we estimate the scale of public and non-public sector assets in primary industry in China and changes in their relative proportions. Further, on the basis of previous estimates, we provide an extended estimate of the scale of public and non-public sector assets in secondary and tertiary industry and changes in their relative proportions. We found that in 2012, total productive assets in primary, secondary and tertiary industry were 487.53 trillion RMB, of which the public sector accounted for 53 percent, or 258.39 trillion RMB. In secondary and tertiary industry, the non-public sector contributed 67.59 percent and 75.20 percent respectively in terms of value- added and employment. This indicates the vitality of China＇s basic socialist economic system, in which public sector assets retain a dominant position and the non-public sector makes the primary economic contribution, and thus provides a theoretical justification for ownership reform in the primary stage of socialism in China and the ＂two unswervinglies＂ policy.展开更多
The Correlation Clustering Problem(CorCP) is a significant clustering problem based on the similarity of data.It has significant applications in different fields,such as machine learning,biology,and data mining,and ma...The Correlation Clustering Problem(CorCP) is a significant clustering problem based on the similarity of data.It has significant applications in different fields,such as machine learning,biology,and data mining,and many different problems in other areas.In this paper,the Balanced 2-CorCP(B2-CorCP) is introduced and examined,and a new interesting variant of the CorCP is described.The goal of this clustering problem is to partition the vertex set into two clusters with equal size,such that the number of disagreements is minimized.We first present a polynomial time algorithm for the B2-CorCP on M-positive edge dominant graphs(M≥ 3).Then,we provide a series of numerical experiments,and the results show the effectiveness of our algorithm.展开更多
基金the project"Research on the Basic Economic System in the Primary Stage of Socialism"(Grant No.11@ZH006)commissioned by the National Social Sciences Fund for 2011
文摘By setting the value of productive assets under different types of ownership of the means of production as the marginal criterion for measuring the relative position of each form of ownership, we estimate the scale of public and non-public sector assets in primary industry in China and changes in their relative proportions. Further, on the basis of previous estimates, we provide an extended estimate of the scale of public and non-public sector assets in secondary and tertiary industry and changes in their relative proportions. We found that in 2012, total productive assets in primary, secondary and tertiary industry were 487.53 trillion RMB, of which the public sector accounted for 53 percent, or 258.39 trillion RMB. In secondary and tertiary industry, the non-public sector contributed 67.59 percent and 75.20 percent respectively in terms of value- added and employment. This indicates the vitality of China＇s basic socialist economic system, in which public sector assets retain a dominant position and the non-public sector makes the primary economic contribution, and thus provides a theoretical justification for ownership reform in the primary stage of socialism in China and the ＂two unswervinglies＂ policy.
基金supported by the National Natural Science Foundation of China (Nos. 12131003,12101594,11771386,11728104,and 11201333)the Beijing Natural Science Foundation Project (No. Z200002)+1 种基金the China Postdoctoral Science Foundation (No. 2021M693337)the Natural Sciences and Engineering Research Council of Canada (NSERC) (No. 06446)。
文摘The Correlation Clustering Problem(CorCP) is a significant clustering problem based on the similarity of data.It has significant applications in different fields,such as machine learning,biology,and data mining,and many different problems in other areas.In this paper,the Balanced 2-CorCP(B2-CorCP) is introduced and examined,and a new interesting variant of the CorCP is described.The goal of this clustering problem is to partition the vertex set into two clusters with equal size,such that the number of disagreements is minimized.We first present a polynomial time algorithm for the B2-CorCP on M-positive edge dominant graphs(M≥ 3).Then,we provide a series of numerical experiments,and the results show the effectiveness of our algorithm.
