Essay Available:
You are here: Home → Research Proposal → Social Sciences
Pages:
1 page/≈275 words
Sources:
1 Source
Level:
Chicago
Subject:
Social Sciences
Type:
Research Proposal
Language:
English (U.S.)
Document:
MS Word
Date:
Total cost:
$ 3.6
Topic:
Relation Between GDP And Number Of Patents Research Assignment (Research Proposal Sample)
Instructions:
The client needed data for drawing a link between THE number of patents that a COUNTRY files and the GDP growth. Additionally, he also required information ABOUT why THE data set used was selected.
source..Content:
GDP and Intellectual Property
Name
Class
Professor
TIME \@ "MMMM d, yyyy" May 28, 2018
In economies worldwide, there is a link between the number of innovations and the total economic growth indicated by the GDP figures. One measure of innovation is the number of patents from any given country. An interrelation between the GDP figures and the number of patents can show this link clearly. Patents are also meant to protect innovators, which is one of the reasons why patent data is widely and readily available. The number of patents quantifies the innovation, and their numbers can be used for analysis.
The data for this analysis has been sourced from the website for the World Intellectual Property Organization (WIPO), which collates this information over the years. It is the most comprehensive repository of data intellectual property data from around the world. The dataset created lists the number of patents filed every year as well as the GDP figures for seventeen countries. The list of countries has been generated as a mix of developing as well as developed nations. Validated data is only available for the period of ten years from 2007 to 2016 ("Statistical Country Profiles" 2018). The countries covered are Albania, Argentina. Australia, Bahrain, Bangladesh, Brazil, Bulgaria, Canada, Chile, China, Czech Republic, Nepal, New Zealand, Poland, Romania, Russian Federation and South Africa.
Some discrepancies in the number of patents and GDP numbers are expected, and this primarily occurs because not all innovation in a country may be patented. The gross domestic product figures that have been used are on Purchasing Power Parity, rather than absolute figures. They have been locked down to the value of the US dollar as of 2011. Analyzing the number of patents of each of these countries over the past decade will allow for understanding the link between the GDP growth and the innovation.
Data Set
Table 1: Patent and GDP(USD 2011 PPP) figures from 2007 to 2011
Country
Year
Patents
GDP (Bn. USD at 2011 PPP)
Country
Year
Patents
GDP (Bn. USD at 2011 PPP)
Albania
2007
25
Chile
2007
616
306.29
2008
26.98
2008
768
317.1
2009
28
2009
505
312.14
2010
28.92
2010
547
330.39
2011
4
30
2011
678
350.58
2012
30.08
2012
784
369.22
2013
30
2013
805
384.16
2014
18
30.96
2014
998
391.49
2015
21
32
2015
851
400.31
2016
53
32.86
2016
941
406.67
Argentina
2007
1,248
715.5
China
2007
161,308
9,601.15
2008
1,112
744.52
2008
204,268
10,528.08
2009
952
700.46
2009
241,434
11,517.70
2010
869
771.38
2010
308,326
12,742.74
2011
1,027
817.7
2011
436,170
13,957.94
2012
1,079
809.3
2012
561,408
15,054.51
2013
922
828.77
2013
734,096
16,222.39
2014
791
807.95
2014
837,817
17,406.24
2015
889
829.34
2015
1,010,615
18,607.31
2016
1,143
810.28
2016
1,257,439
19,854.00
Australia
2007
11,992
846.64
Czech Republic
2007
1,402
296.38
2008
12,152
877.94
2008
1,522
304.41
2009
10,656
893.85
2009
1,637
289.67
2010
11,559
911.78
2010
1,907
296.32
2011
11,536
933.42
2011
1,812
302.26
2012
11,719
967.34
2012
1,886
299.84
2013
12,515
992.2
2013
2,140
298.39
2014
11,903
1,018.09
2014
2,180
306.49
2015
11,239
1,042.74
2015
2,366
320.4
2016
11,735
1,071.58
2016
2,152
328.17
Bahrain
2007
44.88
Nepal
2007
46.16
2008
47.68
2008
48.98
2009
48.89
2009
51.2
2010
51.01
2010
53.67
2011
21
52.02
2011
11
55.5
2012
55
53.96
2012
9
58.16
2013
19
56.89
2013
21
60.56
2014
21
59.36
2014
12
64.19
2015
41
61.06
2015
24
65.93
2016
33
2016
11
66.3
Bangladesh
2007
30
316.12
New Zealand
2007
3,497
140.2
2008
60
335.14
2008
2,683
138.63
2009
56
352.04
2009
2,996
138.21
2010
69
371.66
2010
3,223
140.32
2011
41
395.68
2011
3,061
143.51
2012
71
421.49
2012
2,894
146.73
2013
84
446.84
2013
3,450
150.33
2014
59
473.92
2014
3,429
155.44
2015
117
504.97
2015
3,287
159.22
2016
149
540.89
2016
3,069
165.51
Brazil
2007
5,393
2,535.12
Poland
2007
2,854
745.76
2008
5,521
2,664.27
2008
3,100
777.46
2009
5,420
2,660.92
2009
3,551
799.38
2010
5,735
2,861.24
2010
4,063
828.22
2011
6,359
2,974.96
2011
4,901
869.76
2012
6,603
3,032.11
2012
6,043
883.74
2013
6,848
3,123.22
2013
6,031
896.03
2014
6,712
3,138.96
2014
6,171
925.44
2015
6,570
3,020.64
2015
7,010
961.02
2016
7,223
Get the Whole Paper!
Not exactly what you need?
Do you need a custom essay? Order right now:
Other Topics:
- Reasons for Low Voter Turnout in Abitibi—Baie-James—Nunavik—Eeyou Description: This research paper investigated the reasons for low voter turnout in Abitibi—Baie-James—Nunavik—Eeyou district in Quebec and the less competitive nature of candidates in the politics of the Quebec voting district. Data were collected from voters and professionals, scholars, and policymakers who have been ...11 pages/≈3025 words| 13 Sources | Chicago | Social Sciences | Research Proposal |