技术异质性下中国三大城市群工业用地利用效率评价

doi:10.18402/resci.2021.06.11

Abstract

Abstract:

Improving the industrial land use efficiency and tapping into the potential for conserving industrial land are feasible ways to alleviate the conflict between the supply and demand of industrial land in urban agglomerations and promote green and sustainable development. This study incorporated undesirable outputs into the evaluation system of industrial land use efficiency. Using the meta-frontier generalized directional distance function model (MGDDF), this study explored the industrial land use efficiency in the Beijing-Tianjin-Hebei, Yangtze River Delta, and Pearl River Delta urban agglomerations with consideration of technology heterogeneity in these regions from 2003 to 2016. The results show that: (1) Under the meta-frontier, there are differences in industrial land use efficiency among the three urban agglomerations. The industrial land use efficiency of the Pearl River Delta is the highest, followed by the Beijing-Tianjin-Hebei region, and the Yangtze River Delta has the lowest efficiency. (2) The loss of industrial land use efficiency in the Beijing-Tianjin-Hebei and Pearl River Delta urban agglomerations mainly stem from management inefficiency, while the source of the loss of industrial land use efficiency in the Yangtze River Delta urban agglomeration has no obvious bias and the contribution of management inefficiency and technical inefficiency is roughly the same. (3) According to the decomposition results of industrial land use efficiency loss, the cities in the three urban agglomerations are divided into four types: maintaining the status quo, intra-group learning, overall improvement, and cross-group learning. This study would be useful for revealing the source of the loss of industrial land use efficiency in the three urban agglomerations and for tapping into the potential of industrial land conservation in the three urban agglomerations, which may have practical implications to formulating high-quality industrial land utilization policies in urban agglomerations.

Key words: technology heterogeneity, meta-frontier, industrial land use efficiency, generalized directional distance function, undesirable output, urban agglomerations

HAN Haibin, NIU Kemeng. Evaluation of industrial land use efficiency of China’s three major urban agglomerations under technology heterogeneity[J].Resources Science, 2021, 43(6): 1193-1207.

Figures/Tables 8

Figure 1

Table 1

Figure 2

Table 2

Figure 3

Figure 4

Figure 5

Figure 6

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指标变量		京津冀城市群	长三角城市群	珠三角城市群
投入	工业从业人员/万人	31	27	56
	固定资产净值年平均余额/亿元	1566.903	1271.783	1551.620
	工业用电量/亿kWh	221.213	161.690	203.890
	工业用地面积/万hm²	0.745	0.834	1.128
产出	工业增加值/亿元	1233	1199	1818
	工业废水排放量/亿t	1.101	1.618	1.386
	工业SO₂排放量/亿t	10.613	6.108	5.502

年份	京津冀城市群		长三角城市群			珠三角城市群
年份	GILUE	MILUE	GILUE	MILUE		GILUE	MILUE
2003	0.818	0.611	0.761	0.624		0.863	0.825
2004	0.823	0.657	0.800	0.665	0.947		0.869
2005	0.723	0.653	0.831	0.681	0.994		0.949
2006	0.734	0.621	0.842	0.667	0.964		0.942
2007	0.742	0.696	0.839	0.688	0.951		0.933
2008	0.780	0.688	0.851	0.678	0.918		0.912
2009	0.804	0.696	0.874	0.687	0.923		0.902
2010	0.828	0.717	0.869	0.702	0.956		0.932
2011	0.887	0.686	0.875	0.666	0.920		0.917
2012	0.857	0.698	0.851	0.701	0.895		0.891
2013	0.868	0.830	0.872	0.735	0.831		0.831
2014	0.884	0.824	0.865	0.770	0.844		0.841
2015	0.864	0.851	0.889	0.742	0.842		0.840
2016	0.849	0.799	0.924	0.709	0.814		0.808
均值	0.819	0.716	0.853	0.694	0.904		0.885

Evaluation of industrial land use efficiency of China’s three major urban agglomerations under technology heterogeneity

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