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IAOS 2018 - Innovation survey practice in China, Y. Deng, Z. Jiao, Y. Li, F. Zheng
1. Innovation Survey Practice in China; 19 Sep 2018; OECD Paris 1
Innovation Survey Practice in China
Yongxu DENG1
, Zhikang JIAO1
, Yin LI1
, and Feng ZHEN2
1
Department of Social, Science and technology, and Cultural Statistics NBS China
2
School of Statistics, Renmin University of China
19 September 2018, OECD, Paris
2. Innovation Survey Practice in China; 19 Sep 2018; OECD Paris 2
Contents
Background
Innovation Survey in China
Design of the Survey
Problems and Interests in Practice
Summary
Acronyms and abbreviations
- NBS: National Bureau of Statistics
- NSI: National Statistics Institution
3. Innovation Survey Practice in China; 19 Sep 2018; OECD Paris 3
Background
Innovation, from concept to practice
Innovation R&E R&D Oslo Manual CIS Lisbon Agenda Innovativity
Schumpeter Cobb–Douglas Tinbergen Solow Griliches CDMairesse
Strategy of building a innovative country (2006) National Innovation Survey System (2017)
Practice in China
4. Innovation Survey Practice in China; 19 Sep 2018; OECD Paris 4
Contents
Background
Innovation Survey in China
Design of the Survey
Problems and Interests in Practice
Summary
5. Innovation Survey Practice in China; 19 Sep 2018; OECD Paris 5
Innovation Survey in China
19851985 S&T Statistics R&D Statistics (2000) …… (2nd
paper)
19941994 Testing survey – Manufacturing – Fujian & Gansu Province – 2000 cases
19961996
20072007
20142014
20162016
20172017
Testing survey – Industrial firms – 6 provincial regions – 5000 cases
Innovation Survey – Industrial firms – Mainland – 67,000
Innovation Survey – Industrial firms + construction & part of Service – 440,000
Innovation Survey – Industrial firms + construction & part of Service – 726,000
Innovation Survey – Industrial firms + construction & part of Service
CIS standardCIS standard
6. Innovation Survey Practice in China; 19 Sep 2018; OECD Paris 6
Innovation Survey in China
20072007 20142014 2016 & after2016 & after
Industrial firms above designed
scale (I) by sampling
Hard data = 2006
Soft data = 2004-2006
Product innovation and
process innovation only
Separate programme
67,000 in 300,000
(I)
Construction & Financial sectors (II)
Seven other service sectors (III) by
sampling
Hard data = 2014
Soft data = 2013-2014
All the 4 kinds of innovation
Formal programme in NBS
(I) = 378,000; (II) ≈ 20,000; (III) =52,000
Total ≈ 440,000
(I) + (II) - Financial sectors +(III)
Census for firms above designed
scale; sampling for under it
Hard data = 2016
Soft data =2016
All the 4 kinds of innovation
Yearly formal programme in NBS
(I) = 378,579; Total=726,139;
sampling=54,000
Gap?
7. Innovation Survey Practice in China; 19 Sep 2018; OECD Paris 7
Contents
Background
Innovation Survey in China
Design of the Survey
Problems and Interests in Practice
Summary
8. Innovation Survey Practice in China; 19 Sep 2018; OECD Paris 8
Design of the Survey
Two sampling systems
Census – all the firms above designed scale
industry (I) (I)+construction+finance (I)+construction+7 service sectors
Sampling – firms not reach designed scale
Two sets of questionnaires × three sectors group
(Firm & firm owner/manager) ×(industry & construction & selected service)
Follows CIS, change words or orders of questions
Some CIS hard data not in this survey but in R&D survey
Quality control report but not open
ISIC v4: B,C,D + F, (K) + G,H,J,M
9. Innovation Survey Practice in China; 19 Sep 2018; OECD Paris 9
Contents
Background
Innovation Survey in China
Design of the Survey
Problems and Interests in Practice
Summary
10. Innovation Survey Practice in China; 19 Sep 2018; OECD Paris 10
Problems and Interests
in Practice
Academics and policy making ask for a deeper data mining
Micro data opening and protection
Joining data in different areas
How to evaluate the efficiency of the survey
11. Innovation Survey Practice in China; 19 Sep 2018; OECD Paris 11
Contents
Background
Innovation Survey in China
Design of the Survey
Problems and Interests in Practice
Summary
12. Innovation Survey Practice in China; 19 Sep 2018; OECD Paris 12
Modern innovation statistics system with both R&D statistics and innovation survey
International standards and principles
Challenges in data collection, data mining, and application. They may be improved in practice
Summary