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| 1 | Carrying Capacity of Marine Region in Liaoning Province显示文摘Carrying capacity is one of important studies on coordinating development of population,resources,and environment.At present,the researches on it mainly concentrate on the carrying capacity for population and economy,such as the water resources carrying capacity,the land resources carrying capacity,the environment carrying capacity,etc.Based on the related theories and methods,this paper creatively proposed the concept and meaning of carrying capacity of marine region,and formed the appraisal system.According to the developing situation of marine economy of Liaoning Province in recent years,and by employing the method of the state space,this paper also measured the carrying capacity and carrying state of marine region and discussed the sustainable problems of marine economy of Liaoning.The research results show that the carrying state of marine region of Liaoning is in the state of overloading at present,but taking a favorable turn. | Di Qianbin Han Zenglin Liu Guichun Chang Hongwei | 2007 | Chinese Geographical Science2007，17，3： | 10 |
| 2 | Evolution Characteristics of Government-Industry-University Cooperative Innovation Network of Electronic Information Industry in Liaoning Province, China显示文摘It is important to optimize the cooperative innovation network for the improvement of economic competence and innovative power. Based on the patent information services platform, we obtain invention patent data for the electronic information industry in Liaoning from 1985 to 2015. This paper analyzes the cooperative innovation network structure, its spatiotemporal evolution and the triple helix relationship of government-industry-university(GIU) by using the social network analysis method and the triple helix theory as well as UCINet, ArcGIS and NetDraw. The empirical results show that: 1) the number of the subjects of the electronic information industry GIU cooperative innovation network in Liaoning demonstrates a gradual increase from 1985 to 2015, with the same trend in concentration. In terms of its subject and its centrality, the universities have a higher position, and the industries have a lower position,while the status of the government is still unclear. 2) The cooperative innovation network presents a core-periphery structure, and the polarization effect of innovation subjects tends to be obvious. There is certain distance-decay regularity in the cooperative innovation network, and a strong geographical proximity to cooperative innovation. 3) The compactness shows a downward trend as a whole. In terms of the extent of participation, the industries are better than the government but worse than the universities. This means that the cooperative innovation network of GIU in the electronic information industry in Liaoning is in the initial stage of formation. | PENG Fei ZHANG Qiqi HAN Zenglin DING Yan FU Ningning | 2019 | Chinese Geographical Science2019，29，3： | 7 |
| 3 | A survey on wireless sensor network infrastructure for agriculture显示文摘 | Xiaoqing Yu Pute Wu Wenting Han Zenglin Zhang | 2013 | Computer Standards & Interfaces2013，，1： | 1 |
| 4 | 2004-2014年辽宁沿海经济带海域集约利用评价研究显示文摘随着城市化进程的发展陆域资源日益枯竭,海域资源的开发利用受到了更多关注,但是不合理的海域开发利用对沿海地区生态环境造成巨大破坏,致使生物多样性不断减少,同时制约经济的可持续发展。为更有针对性的采取合理的整治措施,需要对海域集约利用情况进行评定,划分不同的海域集约利用等级,还要在相当长的时间内跟踪监督海域集约利用度的时空变化,推断影响海域集约利用变化的因素。本文以辽宁沿海经济带为例,构建了海域集约利用评价指标体系,收集了2004-2014年的辽宁沿海经济带6个市的指标数据,在海域集约利用多因素综合评价中,运用模糊二元对比分析法、熵值法确定权重,运用综合指数法计算辽宁沿海经济带海域集约利用度并分类,分析近11a辽宁沿海经济带海域集约利用度的时空变化及其原因,主要得出3点结论:(1)辽宁沿海经济带海域集约利用水平整体呈上升趋势,但是集约利用程度偏低,各市之间差异较大;(2)辽宁沿海经济带海洋利用结构程度指数和海洋生态环境指数有待提高;(3)辽宁沿海经济带海域集约利用度政策指向性明显。 | 柯丽娜 武红庆 阴曙升 王权明 HAN Zenglin | 2018 | 海洋湖沼通报2018，，4： | 0 |
| 5 | Quantificational Study on Carrying Capacity of the Regional Environment-Taking the City of Dalian as an Example显示文摘With the analysis of the connotation and charter of the regional environment’s carrying capacity, this paper,firstly, establishes the index system on the base of the affecting factors. Secondly, this paper discusses the methods of thequantization of the environment’s carrying capacity of Dalian. Finally, this paper predicts the changing tendency of theenvironment’s carrying capacity. | Di Qianbin Cao Ke Han Zenglin | 2005 | Ecological Economy2005，1，3： | 0 |
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