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| 中国工业水资源投入拥塞效应的时空演绎 | |
| 引用本文： | 张峰,宋晓娜,薛惠锋.中国工业水资源投入拥塞效应的时空演绎[J].地理科学,2021,41(8):1479-1486. |
| 作者姓名： | 张峰 宋晓娜 薛惠锋 |
| 作者单位： | 1. 山东理工大学管理学院，山东 淄博 255012 2. 中国航天系统科学与工程研究院，北京 100048 |
| 基金项目： | 国家自然科学基金项目（71904108，U1501253）资助 |
| 摘 要： | 在全要素生产率框架下定义投入拥塞概念，利用FGL模型测度2000—2018年中国30省市区（未含西藏、港澳台）工业绿色水资源投入拥塞水平，采用全局无效率分解探究拥塞无效率与纯技术无效率的结构变化。结果表明：① 全国拥塞平均水平呈倒“U”型，具有从低拥塞到分散加深的趋势；② 地区之间的拥塞水平差异性较大，拥塞程度偏高的地区集中在东北老工业基地一带和中、西部地区，投入要素结构失衡是造成拥塞的关键诱因；③ 各地区全局无效率是由纯技术无效率与拥塞无效率共同作用而成，近77%的省市区属于纯技术无效率占优型，拥塞无效率的存在性与发展趋势为产业资源配置提供了重要警示信息。 |
| 关 键 词： | 工业绿色水资源 拥塞效应 要素投入 |
| 收稿时间： | 2020-05-21 |
Spatial and Temporal Interpretation of the Input "Congestion Effect"of Industrial Water Resources |
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| Zhang Feng,Song Xiaona,Xue Huifeng.Spatial and Temporal Interpretation of the Input "Congestion Effect"of Industrial Water Resources[J].Scientia Geographica Sinica,2021,41(8):1479-1486. | |
| Authors: | Zhang Feng Song Xiaona Xue Huifeng |
| Institution: | 1. School of Management, Shandong University of Technology, Zibo 255012, Shandong, China 2. China Academy of Aerospace System Scientific and Engineering, Beijing 100048, China |
| Abstract: | In view of the inadequacy of the analysis of green development and excessive input of factors in the traditional industrial water resources efficiency measurement, the concept of industrial green water input congestion was defined under the framework of total factor productivity, and the congestion level of industrial green water resources input in 30 provinces and regions in Chinese mainland (except for Tibet, Hong Kong and Macau) was evaluated from 2000 to 2018 by FGL model, and then the structural changes of congestion inefficiency and pure technology inefficiency were analyzed based on global inefficiency decomposition. Results showed that, congestion of water resources input was a common problem in green industrial development in various provinces and regions, and the national average level of congestion showed an inverted “U” shape, with a trend from low congestion to deepening dispersion. The congestion levels varied greatly between provinces and regions, and the provinces and regions with higher level of congestion were mainly distributed in the Northeast Old Industrial Base and the central and western China. The nature of industrial green water resource input congestion could be seen as an imbalance in the allocation structure of input factors, while the growth rate of capital, labor, and industrial water resource input factors in the eastern China was relatively balanced, but there was a significant gap between the growth rate of capital input and other input factors in the central China, and the similar phenomena also appeared in the western China, where the growth rate of water resources input was higher than other input factors. So, the unbalanced input factor structure was an important cause of congestion. The overall global inefficiency was caused by the combination of pure technical inefficiency and congestion inefficiency, of which nearly 77% of provinces and regions were pure technical inefficiency. However, the existence and development trend of congestion inefficiency provided warning information that cannot be ignored for industrial resource allocation. Congestion inefficiency in Hebei, Liaoning, and Jiangsu in the eastern China, Jilin and Heilongjiang in the central China, and Xinjiang and Inner Mongolia in the western China should be adjusted urgently. Therefore, both industrial green transformation and water resources management needed to pay more attention to congestion issues. |
| Keywords: | industrial green water resources congestion effect factor input |
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