浙江县域经济发展影响因素空间分异研究
PDF下载 (519)宓科娜,庄汝龙,马仁锋,叶持跃*.浙江县域经济发展影响因素空间分异研究[J].宁波大学学报(理工版),2015,28(01):92-97.DOI:
MI Ke-na,ZHUANG Ru-long,MA Ren-feng,YE Chi-yue*.Spatial Differentiation of Factors Affecting Counties Economy Development in Zhejiang[J].Journal of Ningbo University(Natural Science & Engineering Edition),2015,28(01):92-97.DOI:
| Title: | Spatial Differentiation of Factors Affecting Counties Economy Development in Zhejiang |
| 作者: | 宓科娜, 庄汝龙, 马仁锋, 叶持跃* |
| Author(s): | MI Ke-na, ZHUANG Ru-long, MA Ren-feng, YE Chi-yue* |
| 关键词: | 县域经济; 空间自相关; 地理加权回归; 浙江 |
| Keywords: | county economy; spatial autocorrelation; geographically weighted regression; Zhejiang |
| 分类号: | F23 |
| 文献标识码: | A |
| 摘要: | 浙江县域经济发展差异明显, 探究其空间分异成因是破解区域不均衡发展问题的关键. 以浙江69县(市)为研究单元, 在普通线性回归(OLR)模型的基础上, 运用地理加权回归(GWR)方法研究浙江县域经济发展及其影响因素的空间非平稳特性. 研究发现: 浙江县域经济发展与其影响因素关系的空间分异特征明显, 即人均固定资产投资、人均规模工业总产值和人均出口总额对经济发展的影响存在边际递增效应, 而人均农业机械总动力和专利申请授权量对经济发展有正面也有负面影响, 并随地理位置的不同而发生变化. |
| Abstract: | There have been obvious differences in the economic development level among counties in Zhejiang Province, and the spatial difference is the essential cause of unbalanced development of the regions. In this paper, we apply GWR to analyze factors affecting the economic development in some counties of Zhejiang, and compare with OLR and conduct spatial regression analysis. The study suggests that the factors affecting the county’s economic development are directly related to spatial distribution. The investment per capita in fixed assets, the scale industrial output value per capita and total exports per capita impact on economic development show a positive correlation. The agricultural machinery power per capita and the number of authorized patent applications reveal a positive correlation, and both have a positive impact on economic development but are also found to have a negative one. Thus, the counties (cities) should give more attention to the factors which may impact the economic development more significantly. |
| 参考文献 /References: | [1].Wand M P J C. Kernel smoothing[M]. New York: Chapman and Hall Presses, 1995:12-14. [2].Simonoff J S. Smoothing methods in statistics[M]. New York: Springer Verlag Presses, 1996:20-25. [3].Brunsdon C F M. Geographically weighted regression- modelling spatial non-stationarity[J]. The Statistician, 47 (3):431-443. [4].Brunsdon C, Fotheringham A S, Charlton M. Geographi- cally weighted regression: A method for exploring spatial non-stationarity[J]. Geographical Analysis, 1996(28):281- 298. [5].Casetti E. Generating models by the expansion method: applications to geographical research[J]. Geographical Analysis, 1972, 4(1):81-91. [6].Casetti E. Drift analysis of regression analysis: an application to the investigation of fertility development relations[J]. Modeling and Simulation, 1982, 13(3):961- 966. [7].陈炳为, 许碧云, 倪宗瓒, 等. 地理权重回归模型在甲状腺肿大中应用[J]. 数理统计与管理, 2005(3):113-117. [8].张耀军, 任正委. 基于地理加权回归的山区人口分布影响因素实证研究 [J]. 人口研究, 2012(4):53-63. [9].苏方林. 省域R&D知识溢出的GWR实证分析[J]. 数量经济技术经济研究, 2007(2):145-153. [10].苏方林. 基于地理加权回归模型的县域经济发展的空间因素分析[J]. 学术论坛, 2005(5):81-84. [11].罗罡辉, 吴次芳, 郑娟尔. 宗地面积对住宅地价的影响[J]. 中国土地科学, 2007(5):66-69. [12].杨扬, 杨建宇, 李绍明, 等. 玉米倒伏胁迫影响因子的空间回归分析[J]. 农业工程学报, 2011(6):44-249. [13].曾晖, 杨平. 南京市住宅价格的空间回归分析[J]. 西南大学学报: 自然科学版, 2012(5):141-145. [14].张宁. 陕西省区域经济差异的空间统计分析[D]. 西安: 陕西师范大学, 2011. [15].吴玉鸣. 中国经济增长与收入分配差异的空间统计分析[D]. 上海: 华东师范大学, 2004. [16].王劲峰, 廖一兰, 刘鑫. 空间数据分析教程[M]. 北京: 科学出版社, 2010:121-123. [17].王劲峰. 空间分析[M]. 北京: 科学出版社, 2006:98-106. |
| 备注/Memo: | 收稿日期: 2014?02?15. 宁波大学学报（理工版）网址: http://journallg.nbu.edu.cn/ 基金项目: 宁波大学海洋专项（HYS1203）. 第一作者: 宓科娜（1989－）, 女, 浙江慈溪人, 在读硕士研究生, 主要研究方向:区域经济与区域规划. E-mail: mknzrl@163.com *通信作者: 叶持跃（1960－）, 男, 浙江湖州人, 副教授, 主要研究方向: 区域规划与历史地理. E-mail: yechiyue@nbu.edu.cn 宁波大学学报（理工版）网址：http://journallg.nbu.edu.cn/ |
