地理科学 ›› 2020, Vol. 40 ›› Issue (10): 1610-1617.doi: 10.13249/j.cnki.sgs.2020.10.004
收稿日期:
2019-08-16
出版日期:
2020-10-10
发布日期:
2020-12-05
作者简介:
俞立平(1967-),男,江苏泰县人,教授,博导,博士,主要从事技术经济、科技评价领域的研究。E-mail: 基金资助:
Received:
2019-08-16
Online:
2020-10-10
Published:
2020-12-05
Supported by:
摘要:
构建区域创新政策评价的理论框架,在宏观知识生产函数中引入信息化作为创新技术进步的替代变量,基于DEA与Malmquist指数,用全要素生产率指数存量来衡量区域创新政策。并以省际高技术产业为例进行了实证,研究结果表明:区域创新政策的特征和评价维度决定评价的多样性,基于政策效果与政策交互作用的区域创新政策评价具有重要意义;区域创新政策总体上处于稳步提高阶段,较低地区以西部中部地区为主;区域创新政策测度模型系统性较好,其检验方法有待进一步深化;采用政府研发经费投入作为区域创新政策的替代变量值得商榷。
中图分类号:
俞立平. 区域创新政策评价的框架、测度与检验[J]. 地理科学, 2020, 40(10): 1610-1617.
Yu Liping. Framework, Measurement and Inspection of Regional Innovation Policy Evaluation[J]. SCIENTIA GEOGRAPHICA SINICA, 2020, 40(10): 1610-1617.
表 3
2015年中国省际创新政策指数"
地区 | 创新政策指数 | 排序 | 地区 | 创新政策指数 | 排序 | |
天津 | 5.80 | 1 | 上海 | 1.25 | 15 | |
山西 | 5.71 | 2 | 江西 | 1.11 | 16 | |
重庆 | 3.79 | 3 | 湖北 | 1.05 | 17 | |
安徽 | 3.69 | 4 | 湖南 | 0.81 | 18 | |
江苏 | 3.18 | 5 | 福建 | 0.62 | 19 | |
甘肃 | 3.04 | 6 | 河北 | 0.62 | 20 | |
广东 | 2.89 | 7 | 黑龙江 | 0.60 | 21 | |
吉林 | 2.41 | 8 | 陕西 | 0.56 | 22 | |
河南 | 1.91 | 9 | 内蒙古 | 0.43 | 23 | |
北京 | 1.85 | 10 | 云南 | 0.43 | 24 | |
山东 | 1.65 | 11 | 四川 | 0.40 | 25 | |
辽宁 | 1.62 | 12 | 广西 | 0.40 | 26 | |
浙江 | 1.53 | 13 | 贵州 | 0.36 | 27 | |
海南 | 1.42 | 14 | 平均 | 1.82 |
表 4
面板数据回归结果"
式(2) | 式(3) | ||||
固定效应 | 混合回归 | 固定效应 | 混合回归 | ||
常数项 | 3.542***(71.729) | 2.695***(23.196) | 3.912***(21.583) | 2.479***(14.594) | |
log K | 0.798***(71.968) | 0.838***(25.105) | 0.842***(17.888) | 1.081***(21.097) | |
log L | 0.073***(5.567) | 0.117***(3.332) | ?0.043(?0.849) | 0.100*(1.895) | |
log I | 0.111***(9.939) | 0.124***(4.179) | 0.106**(2.516) | ?0.036(?0.749) | |
log P | 0.963***(97.102) | 0.670***(30.685) | ? | ? | |
log G | ? | ? | 0.012(0.360) | ?0.153***(?5.187) | |
Hausman | 31.792 | ? | 13.138 | ? | |
P | 0.000 | ? | 0.011 | ? | |
R2 | 0.997 | 0.965 | 0.967 | 0.928 |
[1] | 陈劲, 王飞绒. 创新政策: 多国比较和发展框架[M]. 杭州: 浙江大学出版社, 2005. |
Chen Jing, Wang Feirong. Innovation policy: Multinational comparison and development framework. Hangzhou: Zhejiang University Press, 2005. | |
[2] |
Wegloop P Linking firm strategy and government action: Towards a resource-based perspective on innovation and technology policy[J]. Technology in Society, 1995. 17 (4): 413- 428.
doi: 10.1016/0160-791X(95)00017-L |
[3] | Marburger J H Marburgerasks social scientists for a helping hand in interpreting data[J]. Science, 2005. 308 (29): 617. |
[4] | Vedung E. Public policy and program evaluation[M]. London: Transaction Publishers, 1997. |
[5] | Carl V Patton, David S. Sawicki. Basic methods of policy analysis and planning 3rd edition[M]. London: Routledge Press, 2012. |
[6] | 许吉黎, 杨帆, 薛德升 德国汉堡生物医药集群研发和商务知识的网络结构与空间流动[J]. 地理科学, 2019. 39 (2): 325- 333. |
Xu Jili, Yang Fan, Xue Desheng Differentiated knowledge bases, knowledge networks, and spatial flows: Evidence from the biomedical cluster in Hamburg, Germany[J]. Scientia Geographica Sinica, 2019. 39 (2): 325- 333. | |
[7] |
Isabel Freitas, Nick T Mapping public support for innovation: A comparison of policy alignment in the UK and France[J]. Research Policy, 2008. 37 (9): 1446- 1464.
doi: 10.1016/j.respol.2008.05.005 |
[8] | 盛亚, 陈剑平 区域创新政策中利益相关者的量化分析[J]. 科研管理, 2013. (6): 25- 33. |
Sheng Ya, Chen Jianping Quantitative analysis on the stakeholders of regional innovation policies[J]. Science Research Management, 2013. (6): 25- 33. | |
[9] |
兰赛, 赵引 公共政策对企业创新投入与绩效的影响[J]. 南方经济, 2014. (8): 27- 43.
doi: 10.3969/j.issn.1000-6249.2014.08.003 |
Lan Sai, Zhao Yin Impact of public policy on firm innovation investment and performance[J]. South China Journal of Economics, 2014. (8): 27- 43.
doi: 10.3969/j.issn.1000-6249.2014.08.003 |
|
[10] | 贺灿飞, 朱向东, 孔莹晖, 等 集聚经济、政策激励与中国计算机制造业空间格局[J]. 地理科学, 2018. 38 (10): 1579- 1588. |
He Canfei, Zhu Xiangdong, Kong Yinghui et al Agglomeration economy, incentive policy and the spatial pattern of Chinese computer manufacturing industry[J]. Scientia Geographica Sinica, 2018. 38 (10): 1579- 1588. | |
[11] | 段德忠, 杜德斌, 谌颖, 等 中国城市创新网络的时空复杂性及生长机制研究[J]. 地理科学, 2018. 38 (11): 1759- 1768. |
Duan Dezhong, Du Debin, Zhan Ying, et al Spatial-temporal Complexity and growth mechanism of city innovation network in China[J]. Scientia Geographica Sinica, 2018. 38 (11): 1759- 1768. | |
[12] | 滕堂伟, 覃柳婷, 胡森林 长三角地区众创空间的地理分布及影响机制[J]. 地理科学, 2018. 38 (8): 1266- 1272. |
Teng Tangwei, Qin Liuting, Hu Senlin Spatial distribution and influencing factors of national mass makerspaces in the Yangtze River Delta[J]. Scientia Geographica Sinica, 2018. 38 (8): 1266- 1272. | |
[13] | Zitek Vladimir Klimova, Viktorie Kralova Maria Assessment of regional innovation systems as an assumption for innovation policy adjustment[J]. Transylvanian Review of Administrative Sciences, 2016. 49E, 169- 186. |
[14] | Joe Ravetz, Kieron Flanagan Regional innovation policy notes on assessment method[J]. Policy Research, 2006. (4): 142- 158. |
[15] |
张永安, 马昱 基于熵权TOPSIS法的区域技术创新政策评价研究[J]. 科技管理研究, 2017. (6): 92- 97.
doi: 10.3969/j.issn.1000-7695.2017.06.015 |
Zhang Yongan, Ma Yu Research on regional technology innovation policy evaluation based on entropy TOPSIS method[J]. Science and Technology Management Research, 2017. (6): 92- 97.
doi: 10.3969/j.issn.1000-7695.2017.06.015 |
|
[16] |
陈慧茹, 肖相泽, 冯锋 科技创新政策加权共词网络研究[J]. 科学学研究, 2016. 34 (12): 1769- 1776.
doi: 10.3969/j.issn.1003-2053.2016.12.002 |
Chen Huiru, Xiao Xiangze, Feng Feng The weighted co-word analysis of innovation policies based on grounded theory and policy measurement[J]. Studies in Science of Science, 2016. 34 (12): 1769- 1776.
doi: 10.3969/j.issn.1003-2053.2016.12.002 |
|
[17] | Arrow K J The economic implications of learning by Doing[J]. Review of Economic Studies, 1962. (29): 155- 173. |
[18] | Lundvall B A, Borras S. Science, technology and innovation policy[M]. New York: Oxford University Press, 2005. |
[19] |
Griliches Z Issues in assessing the contribution of research and development to productivity growth[J]. Bell Journal of Economics, 1979. 10 (1): 92- 116.
doi: 10.2307/3003321 |
[20] | Jaffe A B Real effects of academic research[J]. The American Economic Review, 1989. (5): 957- 970. |
[21] | Danison E F. Why growth rates differ: Post-war experience in nine western countries[M]. Washington: Washington Brookings Institution, 1967 |
[22] |
俞立平, 章美娇, 王作功 中国地区高技术产业政策评估及影响因素研究[J]. 科学学研究, 2018. (1): 28- 36.
doi: 10.3969/j.issn.1003-2053.2018.01.005 |
Yu Liping, Zhang Meijiao, Wang Zuogong The study of the performance evaluation of regional hi-tech industrial policies and the influencing factors[J]. Studies in Science of Science, 2018. (1): 28- 36.
doi: 10.3969/j.issn.1003-2053.2018.01.005 |
|
[23] |
Biswas D Economics of information in the Web economy: Towards a new theory?[J]. Journal of Business Research, 2004. 57 (7): 724- 733.
doi: 10.1016/S0148-2963(02)00355-7 |
[24] |
Hall P, Taylor R Political science and the three new institutionalisms[J]. Political Studies, 1996. 44 (5): 936- 957.
doi: 10.1111/j.1467-9248.1996.tb00343.x |
[25] | 国家统计局. 中国科技统计年鉴[M]. 北京: 中国统计出版社, 1998-2017. |
National Bureau of Statistics of China. China statistical yearbook of science and technology. Beijing: China Statistics Press, 1998-2017. | |
[26] |
Blundell R, S Bond Initial conditions and moment restrictions in dynamic Panel Data Models[J]. Journal of Econometrics, 1998. 87, 115- 143.
doi: 10.1016/S0304-4076(98)00009-8 |
[27] |
俞立平 信息化对经济增长贡献的时空变化研究[J]. 财贸研究, 2012. 23 (5): 54- 60.
doi: 10.3969/j.issn.1001-6260.2012.05.008 |
Yu Liping Study on contribution of informatization to economy growth and its disparity[J]. Journal of Finance and Economics, 2012. 23 (5): 54- 60.
doi: 10.3969/j.issn.1001-6260.2012.05.008 |
|
[28] | Griliches Z Patent statistics as economic indicators: A survey[J]. Journal of Economic Literature, 1990. 28 (12): 1661- 1707. |
[29] | 国家统计局. 中国高技术产业统计年鉴[M]. 北京:中国统计出版社, 1998-2017. |
National Bureau of Statistics of China. China statistics yearbook on high technology industry. Beijing: China Statistics Press, 1998-2017. |
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