粤港澳大湾区优化发展的关键要素特征及其功能升级
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康蕾, 刘毅
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The key element characteristics of the optimized development and its function upgrade in the Guangdong-Hong Kong-Macao Greater Bay Area
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KANG Lei, LIU Yi
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表1 2017年粤港澳大湾区各城市主要产业的区位熵
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Tab. 1 Location entropy of major industries in each city of the Guangdong-Hong Kong-Macao Greater Bay Area in 2017
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地区 | 工业 | 批发和 零售业 | 交通运输、仓储 和邮政业 | 住宿和 餐饮业 | 金融业 | 房地产业 | 信息传输、软件和 信息技术服务业 | 广州 | 0.857 | 1.121 | 1.515 | 0.908 | 0.849 | 0.768 | 1.089 | 深圳 | 1.312 | 0.804 | 0.678 | 0.790 | 1.214 | 0.759 | 1.648 | 珠海 | 1.430 | 0.735 | 0.446 | 0.953 | 0.680 | 0.665 | 0.926 | 佛山 | 1.879 | 0.521 | 0.928 | 0.359 | 0.405 | 0.804 | 0.702 | 东莞 | 1.589 | 0.874 | 0.752 | 0.839 | 0.563 | 0.787 | 0.916 | 中山 | 1.623 | 0.746 | 0.503 | 0.510 | 0.538 | 0.693 | 0.887 | 江门 | 1.573 | 0.567 | 0.804 | 0.638 | 0.471 | 0.549 | 0.781 | 惠州 | 1.673 | 0.785 | 0.487 | 1.088 | 0.462 | 0.757 | 0.766 | 肇庆 | 1.131 | 0.745 | 0.999 | 1.283 | 0.331 | 0.547 | 0.855 | 香港 | 0.084 | 1.578 | 1.254 | 1.430 | 1.696 | 1.828 | 0.686 | 澳门 | 0.045 | 0.430 | 0.578 | 2.717 | 0.607 | 0.953 | 0.000 | 粤港澳 | 0.888 | 1.407 | 1.033 | 1.260 | 1.367 | 1.716 | 1.507 |
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