↓ Skip to main content

PLOS

Determinants of the Pace of Global Innovation in Energy Technologies

Overview of attention for article published in PLOS ONE, October 2013
Altmetric Badge

Mentioned by

news
9 news outlets
blogs
2 blogs
twitter
19 X users
facebook
1 Facebook page
googleplus
2 Google+ users

Citations

dimensions_citation
82 Dimensions

Readers on

mendeley
157 Mendeley
Title
Determinants of the Pace of Global Innovation in Energy Technologies
Published in
PLOS ONE, October 2013
DOI 10.1371/journal.pone.0067864
Pubmed ID
Authors

Luís M. A. Bettencourt, Jessika E. Trancik, Jasleen Kaur

Abstract

Understanding the factors driving innovation in energy technologies is of critical importance to mitigating climate change and addressing other energy-related global challenges. Low levels of innovation, measured in terms of energy patent filings, were noted in the 1980s and 90s as an issue of concern and were attributed to limited investment in public and private research and development (R&D). Here we build a comprehensive global database of energy patents covering the period 1970-2009, which is unique in its temporal and geographical scope. Analysis of the data reveals a recent, marked departure from historical trends. A sharp increase in rates of patenting has occurred over the last decade, particularly in renewable technologies, despite continued low levels of R&D funding. To solve the puzzle of fast innovation despite modest R&D increases, we develop a model that explains the nonlinear response observed in the empirical data of technological innovation to various types of investment. The model reveals a regular relationship between patents, R&D funding, and growing markets across technologies, and accurately predicts patenting rates at different stages of technological maturity and market development. We show quantitatively how growing markets have formed a vital complement to public R&D in driving innovative activity. These two forms of investment have each leveraged the effect of the other in driving patenting trends over long periods of time.

X Demographics

X Demographics

The data shown below were collected from the profiles of 19 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 157 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 4%
France 1 <1%
Korea, Republic of 1 <1%
Canada 1 <1%
United Kingdom 1 <1%
China 1 <1%
Singapore 1 <1%
Unknown 145 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 36 23%
Researcher 28 18%
Student > Master 20 13%
Student > Bachelor 11 7%
Professor 10 6%
Other 33 21%
Unknown 19 12%
Readers by discipline Count As %
Engineering 26 17%
Business, Management and Accounting 18 11%
Social Sciences 17 11%
Economics, Econometrics and Finance 15 10%
Energy 11 7%
Other 32 20%
Unknown 38 24%