技术进步、城市土地利用效率及反弹效应——以江苏省为例
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摘要
利用DEA方法测算了江苏省13个地级市2000—2013年的土地利用效率,检验了技术因素对城市土地利用效率的影响。结果表明:①总体上,江苏省城市土地利用效率呈现"南高北低"的空间分布特征。②产业结构、经济发展水平对城市土地利用效率产生了显著正影响;人口规模、人均耕地面积产生了显著负影响;技术因素对提升土地利用效率无显著影响,原因在于技术因素产生了反弹效应。③城市土地平均反弹效应为125. 75%,表明节约土地空间依然很大。据此,提出应采用技术进步、产业结构调整等手段来提升土地利用效率,解决经济高质量发展阶段的土地资源瓶颈问题。
This paper calculated the urban land use efficiency of the thirteen cities in Jiangsu Province from 2000 to 2013 using DEA method,and examined the effect of technical factors on urban land use efficiency. The results showed that: ①In general,land use efficiency in Jiangsu Province presented the spatial distribution characteristic of"high in the south and low in the north". ②Industrial structure and economic development level had a significant positive impact on urban land use efficiency; population size,per capita arable land area had a significant negative impact,technical factors had no significant effect on the improvement of land use efficiency,because the technical factors had a rebound effect. ③The average rebound effect of urban land was 125. 75%,indicating that the land saving space was still large. This paper put forward that the land use efficiency should be improved by means of technological progress,industrial structure adjustment and so on,so as to solve the bottleneck of land resources in the stage of high quality economic development.
This paper calculated the urban land use efficiency of the thirteen cities in Jiangsu Province from 2000 to 2013 using DEA method,and examined the effect of technical factors on urban land use efficiency. The results showed that: ①In general,land use efficiency in Jiangsu Province presented the spatial distribution characteristic of"high in the south and low in the north". ②Industrial structure and economic development level had a significant positive impact on urban land use efficiency; population size,per capita arable land area had a significant negative impact,technical factors had no significant effect on the improvement of land use efficiency,because the technical factors had a rebound effect. ③The average rebound effect of urban land was 125. 75%,indicating that the land saving space was still large. This paper put forward that the land use efficiency should be improved by means of technological progress,industrial structure adjustment and so on,so as to solve the bottleneck of land resources in the stage of high quality economic development.
引文
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[24]刘源远,刘凤朝.基于技术进步的中国能源消费反弹效应———使用省际面板数据的实证检验[J].资源科学,2008,39(9)∶1300-1306.
[25]邵帅,杨莉莉,黄涛.能源回弹效应的理论模型与中国经验[J].经济研究,2013,48(2)∶96-109.
[26]冯烽.能效改善与能源节约:助力还是阻力———基于中国20个行业能源回弹效应的分析[J].数量经济技术经济研究,2018,35(2)∶82-98.
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[28]Saunders H D. Fuel Conserving(And Using)Production Functions[J]. Energy Economics,2008,30(5)∶2184-2235.
[29]杨莉莉,邵帅.能源回弹效应的理论演进与经验证据:一个文献述评[J].财经研究,2015,41(8)∶19-38.
[2]林鹏生.我国中低产田分布及增产潜力研究[D].北京:中国农业科学院博士学位论文,2008∶98-100.
[3]李效顺,曲福田,郧文聚.中国建设用地增量时空配置分析———基于耕地资源损失计量反演下的考察[J].中国农村经济,2009,(4)∶4-16.
[4]胡存智.生态文明建设的国土空间开发战略选择[J].中国国土资源经济,2014,27(3)∶4-7.
[5]李永乐,舒帮荣,吴群.中国城市土地利用效率:时空特征、地区差距与影响因素[J].经济地理,2014,34(01)∶133-139.
[6]罗罡辉,吴次芳.城市用地效益的比较研究[J].经济地理,2003,23(3)∶367-370.
[7]黄和平,彭小琳.脱钩视角下城市土地利用效率变化与提升策略———以南昌市为例[J].资源科学,2016,38(3)∶493-500.
[8]赵伟,罗亚兰,王丽强.中国建设用地利用效率的影响因素[J].城市问题,2016,(2)∶4-13.
[9]聂雷,郭忠兴,彭冲.基于SBM-Undesirable和Meta-Frontier模型的城市建设用地利用效率研究[J].资源科学,2017,39(5)∶836-845.
[10]郭贯成,熊强.城市工业用地效率区域差异及影响因素研究[J].中国土地科学,2014,28(4)∶45-52.
[11]韩峰.技术进步对湖南省城镇土地集约利用的影响[J].中国土地科学,2012,26(5)∶9-15.
[12]张志辉.中国城市土地利用效率研究[J].数量经济技术经济研究,2014,31(7)∶134-149.
[13]陈伟,吴群.长三角地区城市建设用地经济效率及其影响因素[J].经济地理,2014,34(9)∶142-149.
[14]Saunders H D. A View From the Macro Side:Rebound,Backfire,and Khazzoom-Brookes[J]. Energy Policy,2000,28(6)∶439-449.
[15]Hanley N,Mcgregor P G,Swales J K,et al. Do Increases in Energy Efficiency Improve Environmental Quality and Sustainability?[J].Ecological Economics,2009,68(3)∶692-709.
[16]Madlener R,Alcott B. Energy Rebound and Economic Growth:A Review of the Main Issues and Research Needs[J]. Energy,2009,34(3)∶370-376.
[17]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.
[18]张军,吴桂英,张吉鹏.中国省际物质资本存量估算:1952—2000[J].经济研究,2004,(10)∶35-44.
[19]韩峰,王琢卓,杨海余.产业结构对城镇土地集约利用的影响研究[J].资源科学,2013,35(2)∶388-395.
[20]彭冲,陈乐一,韩峰.新型城镇化与土地集约利用的时空演变及关系[J].地理研究,2014,33(11)∶2005-2020.
[21]陈强.高级计量经济学及Stata应用[M].北京:高等教育出版社,2014∶238-240.
[22]李鹏,濮励杰.发达地区建设用地扩张与经济发展相关关系的探究———基于与全国平均水平的比较[J].自然资源学报,2012,27(11)∶1823-1832.
[23]张富刚,郝晋珉,姜广辉,等.中国城市土地利用集约度时空变异分析[J].中国土地科学,2005,19(1)∶23-29.
[24]刘源远,刘凤朝.基于技术进步的中国能源消费反弹效应———使用省际面板数据的实证检验[J].资源科学,2008,39(9)∶1300-1306.
[25]邵帅,杨莉莉,黄涛.能源回弹效应的理论模型与中国经验[J].经济研究,2013,48(2)∶96-109.
[26]冯烽.能效改善与能源节约:助力还是阻力———基于中国20个行业能源回弹效应的分析[J].数量经济技术经济研究,2018,35(2)∶82-98.
[27]Berkhout P H G,Muskens J C,Velthuijsen J W. Defining the Rebound Effect[J]. Energy Policy,2000,28(6)∶425-432.
[28]Saunders H D. Fuel Conserving(And Using)Production Functions[J]. Energy Economics,2008,30(5)∶2184-2235.
[29]杨莉莉,邵帅.能源回弹效应的理论演进与经验证据:一个文献述评[J].财经研究,2015,41(8)∶19-38.