基于VRS-DEA模型与Malmquist指数的工业园区土地利用效率评价——以长三角城市群16个工业园区为例

doi:10.18402/resci.2017.06.04

Abstract

Abstract:

Given insufficient efficiency areas of industrial park land in China,we selected 16 state-level industrial parks in the Yangtze River delta urban agglomeration. Based on the input and output unit land area index,VRS-DEA modeling and the Malmquist index,we decompose the dynamic evaluation of land use efficiency,and analyze the input and output factors of improving potential. We found that from 2010-2014,the Yangtze River delta urban agglomerations industrial park comprehensive efficiency of land use was an average of 0.600. Only two industrial parks are efficient,and the efficiency differences between land use regions is obvious. In the view of changes in efficiency decomposition,changes in the scale efficiency of land use are the main cause resulting in the evolution of technical efficiency. From a dynamic time series,the Malmquist productivity index was driven by technical efficiency change and grew over the five years. Weakness in technical improvements is the core element of land use efficiency. Through the analysis of land use non-DEA efficient urban spaces,industrial parks have common output redundancy including tax revenues and industrial production. While maintaining investment scale effectiveness,improving the technical efficiency of industry,investment promotion and the tax system is a realistic path to improve land use efficiency of industrial parks in Yangtze River Urban Agglomerations.

Key words: VRS-DEA Model, Malmquist Productivity Index, industrial park, land use efficiency, Yangtze River Delta Urban Agglomeration

Jiangang SHI, Tianheng XU. Efficiency evaluation of industrial parks land in Yangtze River Urban Agglomerations based on VRS-DEA Model and Malmquist Productivity Index[J].Resources Science, 2017, 39(6): 1026-1036.

Figures/Tables 8

Table 1

Table 2

Figure 1

Figure 2

Table 3

Table 4

Table 5

Table 6

The reasons of inefficient land use and improving potential of 16 industrial parks in Yangtze River Delta Urban Agglomerations in 2014"

	评分	投入冗余部分			产出不足部分
DMU单元	评分	建成区面积 /km²	固定资产投资 /亿元	年末就业人口 /万人	税收收入 /亿元	国内生产总值 /亿元	工业产值 /亿元
苏州工业园区	0.702	66.27	0.00	0.00	184.87	0.00	4 040.45
		（-23.84）			（85.50）		（92.10）
宁波经济技术开发区	0.526	0.00	0.00	0.00	260.60	75.54	0.00
					（136.87）	（10.27）
南京经济技术开发区	1.000	0.00	0.00	0.00	0.00	0.00	0.00
江宁经济技术开发区	0.652	24.53	0.00	5.83	184.68	102.06	1 450.71
		（-10.09）		（-31.23）	（759.06）	（11.62）	（50.31）
宁波大榭开发区	1.000	0.00	0.00	0.00	0.00	0.00	0.00
萧山经济技术开发区	1.000	0.00	0.00	0.00	0.00	0.00	0.00
常熟经济技术开发区	0.723	0.00	0.00	6.52	363.82	75.06	0.00
				（-21.86）	（311.67）	（9.38）
南通经济技术开发区	0.851	81.23	239.57	0.00	345.74	78.94	3 043.91
		（-44.15）	（-44.12）		（556.83）	（10.05）	（136.56）
马鞍山经济技术开发区	1.000	0.00	0.00	0.00	0.00	0.00	0.00
淮安经济技术开发区	0.416	0.00	0.00	0.66	283.69	186.58	2 749.79
				（-25.35）	（176.10）	（66.07）	（144.58）
宁波石化经济技术开发区	1.000	0.00	0.00	0.00	0.00	0.00	0.00
靖江经济技术开发区	0.934	0.00	0.00	0.00	187.43	0.00	33.98
					（428.80）		（1.83）
衢州经济技术开发区	0.497	0.00	4.98	0.00	104.54	91.03	172.73
			（-2.41）		（249.86）	（33.90）	（21.06）
杭州经济技术开发区	0.527	0.00	0.00	0.00	86.43	0.00	97.29
					（72.40）		（5.85）
昆山经济技术开发区	1.000	0.00	0.00	0.00	0.00	0.00	0.00
合肥经济技术开发区	0.679	10.38	0.00	1.29	113.00	0.00	1 483.42
		（-4.02）		（-6.27）	（101.80）		（45.23）

Table 6

References 31

[1]	金碚. 工业的使命和价值-中国产业转型升级的理论逻辑[J]. 中国工业经济,2014,(9):51-64.
	[Jin P.The mission and the value of industry,the theoretical logic of industrial transfor-mation and upgrading in China[J]. China Industrial Economics,2014,(9):51-64.]
[2]	谭术魁. 土地资源学[M]. 复旦大学出版社,2011.
	[Tan S K.Land Resource Science[M]. Shanghai:Fudan University Press,2011.]
[3]	熊鲁霞,骆棕. 上海市工业用地的效率与布局[J]. 城市规划汇刊,2000,(2):22-29.
	[Xiong Z X,Luo Z.Industrial land effici-ency and layout of Shanghai[J]. Urban Planing Forun,2000,(2):22-29.]
[4]	Wu Y Z,Zhang X L,Skitraore M,et al.Industrial land price and its impact on urban growth:A Chinese case study[J]. Land Use Policy,2014,36:199-209.
[5]	黄健柏,徐震,徐珊. 土地价格扭曲、企业属性与过度投资-基于中国工业企业数据和城市地价数据的实证研究[J]. 中国工业经济,2015,(3):57-69.
	[Huang J B,Xu Z,Xu S.Land price distortion,enterprises’ property and over-investment-an empirical research based on the data of Chinese industrial enter-prises and land price of cities in China[J]. China Industrial Economics,2015,(3):57-69.]
[6]	范剑勇,莫家伟. 地方债务、土地市场与地区工业增长[J]. 经济研究,2014,(1):41-55.
	[Fan J Y,Mo J W.Local government debt,land market institution and regional industrial growth[J]. Economic Research Journal,2014,(1):41-55.]
[7]	胡水申. 从“苏州现象”看产业集聚度和土地集约利用[J]. 浙江经济,2005,(17):44-45.
	[Hu S S.A research on industrial con-centration degree and intensive utilization of land through “Suzhou phenomenon”[J]. Zhejiang Economics,2015,(17):44-45.]
[8]	田光明,蒲春玲. 基于产业空间集聚的土地集约利用理论分析[J]. 全国商情:经济理论研究,2008,(4):16-18.
	[Tian G M,Pu C L.The theoretical analysis on intensive utilization of land based on industrial agglomeration[J]. China Business,2008,(4):16-18.]
[9]	陈晓玲,徐舒,连玉君. 要素替代弹性、有偏技术进步对我国工业能源强度的影响[J]. 数量经济技术经济研究,2015,(3):58-76.
	[Chen X L,Xu S,Lian Y J.Factor substitution elasticity and biased technology’s effects on industrial energy intensity[J]. The Journal of Quantitative＆Technacal Economics,2015,(3):58-76.]
[10]	陈基伟. 上海市工业园区土地二次开发的困境与对策[J]. 上海国土资源,2012,(1):46-50.
	[Chen J W.Land secondary deve-lopment dilemma and countermeasures of Shanghai Industrial Park[J]. Shanghai Land＆Resources,2012,(1):46-50.]
[11]	何芳,宋羽. 城市存量土地利用变更制度缺失分析-基于新制度经济学的视角[J]. 城市问题,2011,(3):83-86.
	[He F,Song Y.Urban stock land use change system lack analysis-based on the perspective of new institutional economics[J]. Urban Problems,2011,(3):83-86.]
[12]	江飞涛,武鹏,李晓萍. 中国工业经济增长动力机制转换[J]. 中国工业经济,2014,(5):5-17.
	[Jiang F T,Wu P,Li X P.The dynamic mechanism transform of China’s industrial economic growth[J]. China Industrial Economics,2014,(5):5-17.]
[13]	王成新,刘洪颜,史佳璐,等. 山东省省级以上开发区土地集约利用评价研究[J]. 中国人口·资源与环境,2014,24(6):128-133.
	[Wang C X,Liu H Y,Shi J L,et al.Evaluation on intensive land use in development zones of Shandong Province[J]. China Population,Resources and Environment,2014,24(6):128-133.]
[14]	赵小风,黄贤金,钟太洋,等. 江苏省开发区土地集约利用的分层线性模型实证研究[J]. 地理研究,2012,31(9):1611-1620.
	[Zhao X F,Huang X J,Zhong T Y,et al.Intensive industrial land use based on hierarchical linear models:A case study of development zones in Jiangsu province[J]. Geographical Research,2012,31(9):1611-1620.]
[15]	朱传军,卢新海,韩长生. 基于模糊积分的开发区土地经济效益评价[J]. 中国土地科学,2009,23(5):53-58.
	[Zhu C J,Lu X H,Han C S.Economic benefit evaluation of land in deve-lopment zones based on fuzzy integrals[J]. China Land Science,2009,23(5):53-58.]
[16]	翟文侠,黄贤金,张强,等. 基于层次分析的城市开发区土地集约利用研究-以江苏省为例[J]. 南京大学学报:自然科学版,2006,42(1):96-102.
	[Cui W X,Huang X J,Zhang Q,et al.Land intensive use in city development zones based on analytic hierarchy process:A case study of Jiangsu Province[J]. Journal of Nanjing University (Natural Sciences),2006,42(1):96-102.]
[17]	李伦,郝前进. 上海市工业园区土地利用相对绩效实证研究[J]. 中国土地科学,2014,28(2):53-58.
	[Li L,Hao Q J.Empirical study on the relative efficiency of industrial land use in Shanghai City[J]. China Land Sciences,2014,28(2):53-58.]
[18]	王贺封,石忆邵,尹昌应. 基于DEA模型和Malmquist生产率指数的上海市开发区用地效率及其变化[J]. 地理研究,2014,33(9):1636-1646.
	[Wang H F,Shi Y S,Yin C Y.Land use efficiencies and their changes of Shanghai's development zones employing DEA model and Malmquist productivity index[J]. Geographical Research,2014,33(9):1636-1646.]
[19]	刘耀林,范建彬,张梦珂,等. 开发区用地效率与收敛性-基于湖北省98个开发区的面板数据[J]. 生态经济,2016,32(7):121-126.
	[Liu Y L,Fan J B,Zhang M K,et al.Land-using efficiency of development zone and its convergence:Based on the panel data of 98 development zones in Hubei Province[J]. Ecological Economy,2016,32(7):121-126.]
[20]	闫安. 基于DEA模型的天津市开发区土地利用效率研究[J]. 东南大学学报(哲学社会科学版),2016,18(S1):72-74.
	[Yan A.Tianjin development zone land use efficiency research-based on the DEA model[J]. Journal of Southeast University (Phi-losophy and Social Science),2016,18(S1):72-74.]
[21]	王昆,陈银蓉. 开发区土地集约利用评价研究-以武汉经济技术开发区为例[J]. 国土资源科技管理,2008,25(6):22-26.
	[Wang K,Chen Y R.A research on land intensive use evaluation in development zones-a case study of Wuhan economic and technological development zone[J]. Scientific and Technological Management of Land and Resources,2008,25(6):22-26.]
[22]	施秧秧. DEA方法与Tobit模型相结合的工业用地效率研究:基于浙江省的实证[D]. 杭州:浙江大学,2009.
	[Shi Y Y.On Industrial Land Efficiency Based on DEA Method and Tobit Mode:An Empirical Study in Zhejiang[D]. Hangzhou:Zhejiang University,2009.]
[23]	方先知. 土地利用效率测度的指标体系与方法研究[J]. 系统工程,2004,24(12):22-26.
	[Fang X Z.On the index system of evaluating land utility efficiency[J]. Systems Engineering,2004,24(12):22-26.]
[24]	李美娟,陈国宏. 数据包络分析法(DEA)的研究与应用[J]. 中国工程科学,2003,5(6):88-94.
	[Li M J,Chen G H.A review on the research and application of DEA[J]. Engineering Science,2003,5(6):88-94.]
[25]	魏权龄. 数据包络分析[M]. 北京:科学出版社,2004.
	[Wei Q L.Data Envelopment Analysis[M].Beijing:Science Press,2004.]
[26]	龚艳,郭峥嵘. 江苏旅游业发展效率及对策研究-基于超效率DEA和Malnquist指数分析[J]. 华东经济管理,2014,(4):7-12.
	[Gong Y,Guo Z R.A study on efficiency and counter measures of tourism development in Jiangsu Province-analyses based on super-efficiency DEA and Malmquist index[J]. East China Economic Management,2014,(4):7-12.]
[27]	Charnes A,Cooper W W,Rhodes E.Measuring the efficiency of decision making units[J]. European Journal of Operational Research,1978,2(6):429-444.
[28]	Färe R,Grosskopf S.A nonparametric cost approach to scale efficiency[J]. Scandinavian Journal of Economics,1985,87(4):594-604.
[29]	Färe R,Grosskopf S,Norris M,et al.Productivity growth,technical progress,and efficiency change in industrialized countries[J]. American Economic Review,1994,84(1):66-83.
[30]	张维,李玉霜. 基于DEA技术的城市商业银行内控评价研究[J]. 系统工程理论与实践,2001,21(7):38-42.
	[Zhang W,Li Y S.Extension study of the internal appraisal for city commercial banks[J]. Systems Engineering-Theory & Practice,2001,21(7):38-42.]
[31]	师荣耀. 中国开发区年鉴[M]. 北京:中国财政经济出版社,2010-2015.
	[Shi R Y.China Development Zones Yearbook[M]. Beijing:China Financial and Economic Publishing House,2010-2015.]

目标层	准则层	指标层
城市土地利用效率	投入指标	建成区面积/km²
		固定资产投资/亿元
		年末就业人口/万人
	产出指标	园区国内生产总值/亿元
		工业产值/亿元
		税收收入/亿元

工业园区名称	2010年	2011年	2012年	2013年	2014年	均值	排名
宁波大榭开发区	1.000	1.000	1.000	1.000	1.000	1.000	1
宁波石化经济技术开发区	1.000	1.000	1.000	1.000	1.000	1.000	1
昆山经济技术开发区	0.748	0.861	1.000	1.000	1.000	0.922	3
靖江经济技术开发区	0.670	0.573	0.705	0.669	0.934	0.710	4
宁波经济技术开发区	0.693	0.665	0.706	0.490	0.526	0.616	5
常熟经济技术开发区	0.518	0.549	0.614	0.533	0.723	0.587	6
南通经济技术开发区	0.336	0.389	0.573	0.691	0.851	0.568	7
萧山经济技术开发区	0.347	0.344	0.454	0.684	1.000	0.566	8
马鞍山经济技术开发区	0.465	0.617	0.681	0.522	0.508	0.559	9
南京经济技术开发区	0.399	0.318	0.496	0.689	0.846	0.550	10
衢州经济技术开发区	0.402	0.461	0.671	0.452	0.497	0.497	11
苏州工业园区	0.274	0.390	0.479	0.556	0.702	0.480	12
杭州经济技术开发区	0.558	0.450	0.398	0.401	0.527	0.467	13
合肥经济技术开发区	0.246	0.304	0.406	0.473	0.679	0.422	14
江宁经济技术开发区	0.279	0.261	0.421	0.465	0.652	0.416	15
淮安经济技术开发区	0.152	0.172	0.231	0.274	0.416	0.249	16
均值	0.505	0.522	0.615	0.619	0.741	0.600

DMU单元	技术效率	纯技术效率	规模效率	DMU单元	技术效率	纯技术效率	规模效率
苏州工业园区	0.480	0.547	0.877	马鞍山经济技术开发区	0.559	1.000	0.559
宁波经济技术开发区	0.616	0.812	0.758	淮安经济技术开发区	0.249	0.348	0.716
南京经济技术开发区	0.550	0.606	0.906	宁波石化经济技术开发区	1.000	1.000	1.000
江宁经济技术开发区	0.416	0.447	0.929	靖江经济技术开发区	0.710	0.737	0.964
宁波大榭开发区	1.000	1.000	1.000	衢州经济技术开发区	0.497	0.799	0.622
萧山经济技术开发区	0.566	0.639	0.885	杭州经济技术开发区	0.467	0.507	0.920
常熟经济技术开发区	0.587	0.729	0.805	昆山经济技术开发区	0.922	0.949	0.971
南通经济技术开发区	0.568	0.610	0.931	合肥经济技术开发区	0.422	0.501	0.842

时段	技术效率变化指数（TEC）	技术进步变化指数（TC）	纯技术效率变化指数（PTEC）	规模效率变化指数（SEC）	Malmquist生产率变化指数（TFPC）
2010-2011年	1.048	1.152	0.967	1.084	1.208
2011-2012年	1.226	0.795	1.211	1.012	0.975
2012-2013年	1.018	0.988	1.020	0.998	1.006
2013-2014年	1.221	0.859	1.144	1.067	1.049
均值	1.124	0.939	1.081	1.040	1.056

工业园区名称	技术效率变化指数（TEC）	技术进步变化指数（TC）	纯技术效率变化指数（PTEC）	规模效率变化指数（SEC）	Malmquist生产率变化指数（TFPC）
苏州工业园区	1.266	0.801	1.121	1.129	1.014
宁波经济技术开发区	0.933	1.055	0.984	0.949	0.984
南京经济技术开发区	1.207	0.947	1.259	0.959	1.143
江宁经济技术开发区	1.237	0.895	1.243	0.995	1.107
宁波大榭开发区	1.000	0.952	1.000	1.000	0.952
萧山经济技术开发区	1.303	0.902	1.282	1.016	1.175
常熟经济技术开发区	1.087	1.009	1.028	1.057	1.097
南通经济技术开发区	1.261	0.952	1.213	1.040	1.201
马鞍山经济技术开发区	1.022	1.067	1.000	1.022	1.091
淮安经济技术开发区	1.287	0.884	1.154	1.115	1.138
宁波石化经济技术开发区	1.000	0.914	1.000	1.000	0.914
靖江经济技术开发区	1.087	1.000	1.064	1.021	1.087
衢州经济技术开发区	1.054	0.982	0.858	1.229	1.036
杭州经济技术开发区	0.985	0.982	0.960	1.026	0.967
昆山经济技术开发区	1.075	0.851	1.033	1.041	0.915
合肥经济技术开发区	1.289	0.877	1.208	1.068	1.130
均值	1.124	0.939	1.081	1.040	1.056

Efficiency evaluation of industrial parks land in Yangtze River Urban Agglomerations based on VRS-DEA Model and Malmquist Productivity Index

RichHTML

PDF (PC)

Like

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 8

References 31

Related Articles 15

Metrics

Comments

Recommended 0

[1]	ZHANG Lixin, BI Xu, HUANG Zhiji. Urban industrial land use efficiency under the background of economic transformation in the Yangtze River Economic Belt [J]. Resources Science, 2020, 42(9): 1728-1738.
[2]	ZHANG Wenxi, ZOU Jinlang, WU Qun. Effect of production factors on urban land use efficiency: Based on the provincial data of different development stages [J]. Resources Science, 2020, 42(7): 1416-1427.
[3]	Xiuqing ZOU,Ying WANG,Tingyan WU,Yulin YIN,Xiaosong TU,Guoliang XU. Threshold effect of agricultural population transfer on cultivated land use efficiency in Jiangxi Province [J]. Resources Science, 2019, 41(8): 1576-1588.
[4]	ZHU Xinhua, ZHONG Sujuan. Effects of high-speed rail on urban land use from the perspective of “space of flows”：An analysis based on DPSIR-PLS model [J]. Resources Science, 2019, 41(12): 2262-2273.
[5]	QIU Junjie, REN Qian, YU Jin. Aging of agricultural labor, agricultural capital investment and land use efficiency: Based on a longitudinal survey of farmers in Shandong, Henan and Anhui [J]. Resources Science, 2019, 41(11): 1982-1996.
[6]	Siqi YAN, Jianchao PENG, Qun WU. The convergence characteristics of industrial land use efficiency in China [J]. Resources Science, 2018, 40(6): 1163-1174.
[7]	Pengfei FAN, Shuyi FENG, Min SU, Mingjun XU. Differential characteristics and driving factors of land use efficiency in different functional cities based on undesirable outputs [J]. Resources Science, 2018, 40(5): 946-957.
[8]	Kui YANG, Qi WEN, Taiyang ZHONG. Assessment of urban land use efficiency in the Yangtze River Economic Belt [J]. Resources Science, 2018, 40(10): 2048-2059.
[9]	Li YUE, Wenbo LI. Typical urban land use efficiency in China under environmental constraints based on DDF-Global Malmquist-Luenberger index modeling [J]. Resources Science, 2017, 39(4): 597-607.
[10]	Lixin ZHANG, Daolin ZHU, Ting DU, Baopeng XIE. Spatiotemporal pattern evolvement and driving factors of urban construction land use efficiency using data envelopment analysis [J]. Resources Science, 2017, 39(3): 418-429.
[11]	ZHAO Lin,ZHANG Yushuo,JIAO Xinying,WU Di,WU Dianting. An evaluation of Chinese marine economy efficiency based on SBM and Malmquist productivity indexes [J]. Resources Science, 2016, 38(3): 461-475.
[12]	HUANG Heping,PENG Xiaolin. Urban land use efficiency changes and improvement strategies from a decoupling perspective in Nanchang City [J]. Resources Science, 2016, 38(3): 493-500.
[13]	HUANG Tai. Evolution characteristics and factors affecting tourist flow potential in the Yangtze River Delta Urban Agglomerations [J]. Resources Science, 2016, 38(2): 364-376.
[14]	SONG Xuyan,SHEN Jiang. The ecological performance of eco-industrial parks in Shandong based on principal component analysis and set pair analysis [J]. Resources Science, 2015, 37(3): 546-554.
[15]	HU Xianhui, YANG Gangqiao, YANG Jun. Impact of Agricultural Labor Aging on Farmland Use Efficiency of Rural Households：An Empirical study from Regions of Differing Economic Development Levels [J]. , 2011, 33(9): 1691-1698.