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Evaluating the performance of Integrated Coastal Management in Quanzhou, Fujian, China

机译:评估福建泉州沿海地区综合管理的绩效

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摘要

The Integrated Coastal Management (ICM) framework has been increasingly adopted in coastal cities of China. Using indicators to monitor and measure the progress and effectiveness of ICM implementation is a key step towards adaptive management of the ICM process in the long-term perspective. However, proper methods of evaluating the ICM performance are still lacking. An evaluation method based on assessment of indicators is suggested and applied to Quanzhou in this study. 32 indicators adapted to China's coastal cities are developed, and the Principal Component Analysis (PCA) method is employed as the weighting method to synthesize the evaluation results. Key ICM performance indicators are identified and specific suggestions are proposed based on the evaluation results, which would be useful for future decision-making in the ICM governance. The correlations between ICM governance, coastal environmental and socioeconomic sustainability are analyzed using the "Drive force-Pressure-StatusImpact-Response (DPSIR)" model. The evaluation indicators and methodologies could be applied to other coastal cities for promoting the progress of ICM towards the goal of sustainability. (C) 2014 Elsevier Ltd. All rights reserved.
机译:中国沿海城市越来越多地采用沿海综合管理(ICM)框架。从长期的角度来看,使用指标来监视和衡量ICM实施的进度和有效性是对ICM流程进行自适应管理的关键一步。但是,仍然缺少评估ICM性能的适当方法。提出了一种基于指标评价的评价方法,并将其应用于泉州。制定了32个适应中国沿海城市的指标,并采用主成分分析(PCA)方法作为加权方法来综合评价结果。确定了关键的ICM绩效指标,并根据评估结果提出了具体建议,这将有助于ICM治理中的未来决策。使用“驱动力-压力-状态-冲击-响应(DPSIR)”模型分析了ICM治理,沿海环境和社会经济可持续性之间的相关性。评价指标和方法可以应用于其他沿海城市,以促进ICM向可持续性目标发展。 (C)2014 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Ocean & coastal management》 |2014年第8期|112-122|共11页
  • 作者单位

    Natl Univ Singapore, Dept Biol Sci, Reef Ecol Lab, Singapore 117543, Singapore;

    Natl Univ Singapore, Dept Biol Sci, Reef Ecol Lab, Singapore 117543, Singapore;

    Xiamen Univ, Dept Oceanog, Xiamen 361005, Peoples R China;

    Xiamen Univ, Dept Oceanog, Xiamen 361005, Peoples R China;

    State Ocean Adm, Inst Oceanog 3, Xiamen 361005, Peoples R China;

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