[1]宋晓薇.金融资源空间配置对区域绿色技术创新的作用机制研究——基于半参数下的空间变系数MGWR模型分析[J].江西师范大学学报(自然科学版),2016,40(03):251-257.
 SONG Xiaowei.The Effect Mechanism of Financial Resources Allocation on Regional Green Technology——Based on Semiparametric MGWR Model[J].,2016,40(03):251-257.
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金融资源空间配置对区域绿色技术创新的作用机制研究——基于半参数下的空间变系数MGWR模型分析()
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《江西师范大学学报》(自然科学版)[ISSN:1006-6977/CN:61-1281/TN]

卷:
40
期数:
2016年03期
页码:
251-257
栏目:
出版日期:
2016-07-01

文章信息/Info

Title:
The Effect Mechanism of Financial Resources Allocation on Regional Green Technology——Based on Semiparametric MGWR Model
作者:
宋晓薇
河南牧业经济学院金融学院,河南 郑州 450000
Author(s):
SONG Xiaowei
Institute of Finance,Henan University of Animal Husbandry and Economy,Zhengzhou Henan 450000,China
关键词:
金融资源空间配置 绿色技术创新能力 空间分异性
Keywords:
financial resources allocation green technology innovation spatial differentiation
分类号:
F 830.9
文献标志码:
A
摘要:
优化金融资源空间配置效率能够显著提升区域技术创新能力,进而促进区域技术创新对资源环境约束和经济可持续发展的统筹协调作用.在纳入环境规制因素对区域绿色技术创新能力进行因子分析的基础上,用MGWR模型对金融资源配置和绿色技术创新能力的空间关系进行模拟估值.研究结果表明:金融资源对发达地区的创新推动力显著高于欠发达地区,但发达地区显现出物质资本过度深化带来的创新边际弹性逐步递减态势,欠发达地区仍处于该弹性的递增阶段; 环境规制对发达地区技术创新的贡献率高于欠发达地区,并且在发达地区2者之间呈现出正相关关系,在欠发达地区2者为负向关联; 知识技术存量是地区技术创新能力的决定性因素,其次是人力资本投入,而研发经费投入的推动力较微弱,本地经济发展程度对技术创新起着基础性作用.
Abstract:
The high efficiency on financial resources spatial allocation can significantly promote regional technology innovation capability,then regional technology innovation will play the more important role on coordinating the relationship between environmental constraints and economic sustainable growth.On the basis of factor analysis,an extended spatial economic model is built to explain regional green technology innovation capability including the environmental regulation and financial resource allocation,and taking MGWR model to simulate the spatial relations of regional innovation capability.It shows that the role of financial resources promoting regional innovation is remarkable,and the strength is greater on the developed areas.But developed areas appear diminishing marginal efficiency on the regional innovation phenomenon,less-developed areas is still in the increasing stage on the regional innovation efficiency.The impetus to innovation from environmental regulation in the developed area is higher than the less-developed areas,and in the developed areas,the two variables present a positive correlation,but in less-developed areas,just opposite.The stock of knowledge capital is the decisive element on regional innovation capability,the second important factor is the human capital,but R&D expenditure has a very small effect,the local economic development level on innovation plays a basic role.

参考文献/References:

[1] Banerjee A V,Duflo E.Growth theory through the lens of development economics [J].Handbook of Economic Growth,2004,1(5):473-552.
[2] Moll B.Productivity losses from financial frictions:Can self-financing undo capital misallocation? [J].American Economic Review,2014,104(10):3186-3221.
[3] Midrigan V,Xu Daniel Yi.Finance and misallocation:Evidence from plant-level data [J].American Economic Review,2014,11(2):422-458.
[4] Acemoglu D,Akcigit U,Bloom N,et al.Innovation,reallocation and growth [J].Ssrn Electronic Journal,2013,23(1):205-221.
[5] Buera F J,Kaboski J P,Shin Y.Finance and development:A tale of two sectors [J].American Economic Review,2009,101(5):1964-2002.
[6] Maskus K E,Neumann R,Seidel T.How national and international financial development affect industrial R&D [J].European Economic Review,2011,56(1):72-83.
[7] 丁一兵,傅缨捷,曹野.融资约束、技术创新与跨越“中等收入陷阱”:基于产业结构升级视角的分析 [J].产业经济研究,2014(3):63-77.
[8] 黄俊,陈信元.集团化经营与企业研发投资:基于知识溢出与内部资本市场视角的分析 [J].经济研究,2011(6):80-92.
[9] 中国科技发展战略研究小组.中国区域创新能力报告 [R].北京:中国科技出版,2010.
[10] Romer P M.Endogenous technological change [J].Journal of Political Economy,1990,98(5):71-102.
[11] Jones C I.R&D-based models of economic growth [J].Journal of Political Economy,1995,103(4):759-784.
[12] Griliches Zvi.Issues in assessing the contribution of research and development to productivity growth [J].Bell Journal of Economics,1979,10(2):92-116.
[13] Jaffe A B.Real effects of academic research [J].American Economic Review,1989,79(5):957-970.
[14] Anselin L,Varga A,Acs Z J.Geographic spillovers and university research:A spatial econometric perspective [J].Growth and Change,1999,31(4):501-516.
[15] Helbach M,Brunauer W.Mixed geographically weighted regression for hedonic house price modeling in Austria [R].Heidelberg:University of Heidelberg,2010.
[16] 魏传华,胡晶,吴喜之.空间自相关地理加权回归模型的估计 [J].数学的实践和认识,2010,40(22):126-134.

备注/Memo

备注/Memo:
收稿日期:2016-02-20基金项目:国家自然科学基金(71273122,71473109,41461025,71463023),教育部人文社会科学研究规划基金(15YJA630079,14YJCZH114),江西省社会科学“十二五”规划课题(2015YJ26)和江西省研究生创新专项资金(YC2015-B049)资助项目.作者简介:宋晓薇(1983-),女,河南郑州人,副教授,博士研究生,主要从事数量经济学研究.
更新日期/Last Update: 1900-01-01