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Journal of Integrative Agriculture 2019年第10期18卷 2422-2433页

作者： HUANG Ying-wei MAO Pei LI Jun Institute of economics Chinese Academy of Social SciencesBeijing 100836P.R. China college of economics Central University of Finance and EconomicsBeijing 100081P.R.China college of economics and management China Agricultural UniversityBeijing 100094P.R. China

Distribution system will affect the labor incentive that has been heatedly discussed by recent *** a unique micro dataset, this paper dem on strates that the equalitaria n distributi on system is one of the reas ons for the in sufficie nt labor incentive during the Chinese Collective Agriculture period. Specifically speaking, in the distribution of basic rations, the proportion for children (aged 1-3 and 4-7 years) was often beyond their nutrition demand, resulting the dissatisfaction of other families with more laborers and less children, thus these households will reduce their labor supply gradually. At the same time, the existence of outstanding accounts makes it a failure to use work points to buy distributions, which is the mechanism of the distribution system and insufficient labor incentive. All the results have been accepted by the robustness tests. The study will help to understand the distribution system and labor incentive, as well as the failure of the Chinese collective agriculture.

关键词： ratio of children's nutrition distribution labor incentive outstanding accounts Chinese collective agriculture

Landscape Change and its effect on the environment of Daqing City

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Progress in Natural Science:Materials International 2005年第7期15卷 641-649页

作者： ZANG Shuying, ZHANG Jing and JIA Li ( college of Life and Environment Science, Harbin Normal University, Harbin 150080, China college of Resources Environment & Tourism, Capital Normal University, Beijing 100037, China college of economics and management, Northeast Agricultural University, Harbin 150030, China) college of Life and Environment Science Harbin Normal University Harbin 150080 China. college of Resources Environment & Tourism Capital Normal University Beijing 100037 China. college of economics and management Northeast Agricultural University Harbin 150030 China

In this paper, we will study the temporal-spatial landscape change from 1978 to 2001 in Daqing City, based on the mul- ti spectral scanner (MSS) and thematic mapper (TM) images of remote sensing (RS) of 1978, 1988, 1992, 1996 and 2001. In order to explain the effects of the component change on the whole landscape, we make a statistic analysis about the transfer probability matrix of the component types of the landscape by using the ARCGIS platform through the overlay analysis of different landscape components. Based on the transfer probability matrix, we calculate the in-transfer ratio, the out-transfer ratio and the contributor ratio of the special transfer process of the main landscape components. The results illustrate that the cultivated-land, grassland, swamp, and alkaline land are the main contributors resulting in the landscape change: the out-transfer ratios of grassland and swamp are much higher than the in-transfer ones; the in-transfer ratio of alkaline land is much higher than the out-transfer one; the in-transfer ratio of the land-lot is always higher than its out-transfer with the highest rate per year, although there is a small difference among the in-transfers and the out-transfers per year. The main landscape changing processes are the salination of cultivated-land, salination or desertification of grassland, salination and degeneration of swamp. Results in this paper can provide scientific basis for investigating the landscape change mechanism of resources-based city.

关键词： landscape change environmental effect transfer probability resources-based city.

METHOD FOR QUICKLY INFERRING THE MECHANISMS OF LARGE-SCALE COMPLEX NETWORKS BASED ON THE CENSUS OF SUBGRAPH CONCENTRATIONS

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Journal of Systems Science & Complexity 2009年第2期22卷 252-259页

作者： Bo YANG Xiaorong CHEN management School Hangzhou Dianzi University Hangzhou 310018 China. Antai college of Economies and management Shanghai Jiaotong University Shanghai 200030 China.

A Mechanism-Inferring method of networks exploited from machine learning theory caneffectively evaluate the predicting performance of a network *** existing method for inferringnetwork mechanisms based on a census of subgraph numbers has some drawbacks,especially the needfor a runtime increasing strongly with network size and network *** this paper,an improvedmethod has been proposed by introducing a census algorithm of subgraph *** can be quickly inferred by the new method even though the network has large scale andhigh ***,the application perspective of mechanism-inferring method has been extendedinto the wider fields of large-scale complex *** applying the new method to a case of proteininteraction network,the authors obtain the same inferring result as the existing method,which approvesthe effectiveness of the method.

关键词： Large-scale complex networks mechanism-inferring model evaluation subgraph census.

A Study on the Structural Optimization and Dynamic Prediction of Forest Resources in Nanping Prefecture of Fujian Province

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北京林业大学学报 1993年第S3期 70-82页

作者： Zhao Daosheng college of economics and management,Beijing Forestry University Yan Shuai Editorial Staff of J.of Beijing For.Univ.

Based on the analyses of the current state of forest resources, existing problems concerningthe structure of forest resources are pointed out. To help determining the future developmental direction offorest resources, a model of the structure was developed by the application of linear programming. The resultsof the optimal structure of forest resources can be obtained from this model. To forecast the futurecondition of the forest stand , a dynamic model was developed by using a method of system dynamics. Themodel can be utilized to estimate the future area and volume of the forest stand , the area of forest land ,the area and volume of commercial forest , and the quality of the stand.

关键词： structural optimization dynamic prediction optimal model dynamic model model simulation

Impact Factors of Energy Productivity in China: An Empirical Analysis

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Chinese Journal of Population,Resources and Environment 2007年第2期5卷 28-33页

作者： Wei Chu1,2, Shen Manhong2 1. college of economics and management, Zhejiang Sci-Tech University, Hangzhou Zhejiang 310018, China 2. college of economics, Zhejiang University, Hangzhou Zhejiang 310017, China college of economics and management Zhejiang Sci-Tech University college of economics Zhejiang University

This article developed a decomposition model of energy productivity on the basis of the economic growth model. Four factors were considered which may influence China’s energy productivity according to this model: technology improvement, resource allocation structure, industrial structure and institute arrangement. Then, an econometric model was employed to test the four factors empirically on the basis of China’s statistical data from 1978 to 2004. Results indicated that capital deepening con- tributes the most (207%) to energy efficiency improvement, and impact from labor forces (13%) is the weakest one in resource factor; industrial structure (7%) and institute innovation (9.5%) positively improve the energy productivity.

关键词： energy productivity impact factor economic growth China

EQUILIBRIUM REGULATION MODEL OF FOREST management PERIOD AND APPLICATION EXAMPLES

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生物数学学报 1990年第1期5卷 10-15页

作者： Xuan Huan(Hunan college of Einance and economics) 湖南财经学院湖南长沙

MODED The[I] in references gives age state aguation,Based on optimun control model of age regulation is constructured. in some system of forestry production. if a sort of tree is dovided into k ages and in intial peri... 详细信息

关键词： tree EQUILIBRIUM REGULATION MODEL OF FOREST management PERIOD AND APPLICATION EXAMPLES

Interactive group decision making procedure based on uncertain multiplicative linguistic preference relations

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Journal of Systems Engineering and Electronics 2010年第3期21卷 408-415页

作者： Zeshui Xu1,2,1.college of economics and management,Southeast University,Nanjing 210096,P.R.China 2.Institute of Sciences,University of Science and Technology of the PLA,Nanjing 210007,P.R.China college of economics and management Southeast University Nanjing 210096 P. R. China Institute of Sciences University of Science and Technology of the PLA Nanjing 210007 P. R. China

Group decision making problems are investigated with uncertain multiplicative linguistic preference *** unbalanced multiplicative linguistic label set is introduced,which can be used by the experts to express their linguistic preference information over *** uncertain linguistic weighted geometric mean operator is utilized to aggregate all the individual uncertain multiplicative linguistic preference relations into a collective one,and then a simple approach is developed to determine the experts＇ weights by utilizing the consensus degrees among the individual uncertain multiplicative linguistic preference relations and the collective uncertain multiplicative linguistic preference ***,a practical interactive procedure for group decision making is proposed based on uncertain multiplicative linguistic preference relations,in which a possibility degree formula and a complementary matrix are used to rank the given ***,the proposed procedure is applied to solve the group decision making problem of a manufacturing company searching the best global supplier for one of its most critical parts used in assembling process.

关键词： group decision making uncertain multiplicative linguistic preference relations unbalanced multiplicative linguistic label set consensus degree interaction.

Studies on the Sustainable Developmint of Forestry in China

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Forest Ecosystems 1994年第1期 61-71页

作者： Zhang Caihong college of economics and management,Bejing Forestry University

ＳｔｕｄｉｅｓｏｎｔｈｅＳｕｓｔａｉｎａｂｌｅＤｅｖｅｌｏｐｍｅｎｔｏｆＦｏｒｅｓｔｒｙｉｎＣｈｉｎａＺｈａｎｇＣａｉｈｏｎｇＣｏｌｌｅｇｅｏｆＥｃｏｎｏｍｉｃｓａｎｄＭａｎａｇｅｍｅｎｔ，ＢｅｊｉｎｇＦｏｒｅｓｔｒ... 详细信息

ＳｔｕｄｉｅｓｏｎｔｈｅＳｕｓｔａｉｎａｂｌｅＤｅｖｅｌｏｐｍｅｎｔｏｆＦｏｒｅｓｔｒｙｉｎＣｈｉｎａＺｈａｎｇＣａｉｈｏｎｇＣｏｌｌｅｇｅｏｆＥｃｏｎｏｍｉｃｓａｎｄＭａｎａｇｅｍｅｎｔ，ＢｅｊｉｎｇＦｏｒｅｓｔｒｙＵｎｉｖｅｒｓｉｔｙＳｔｕｄｉｅ...

关键词： sustainable development of forestry factor potentialities dynamic model simu-lation prediction policy supporting system

LOCAL INFLUENCE ASSESSMENT IN A MULTIVARIATE t-MODEL WITH RAO'S SIMPLE STRUCTURE

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Acta Mathematica Scientia 2005年第1期25卷 179-192页

作者：邹清明张怀雄 collegeofeconomicsandmanagement NanhuaUniversityHengyang421001China collegeofInformation YunnanUniversityKunming650091China

The local influence analysis is an important problem in statistical inference and some models have been discussed in many literatures This paper deals with the problem of assessing local influences in a multivariate t-model with Rao's simple struc-ture(RSS). Based on Cook's likelihood displacement, the effects of some minor perturbation on the statistical inference is assessed. As an application, a common covariance-weighted perturbation is thoroughly discussed.

关键词： Multivariate t-model Rao's simple structure ω-model likelihood displacement MLE