Home Articles List Article Information
Scientia Iranica
Journal Archive
Volume Volume 26 (2019)
Volume Volume 25 (2018)
Volume Volume 24 (2017)
Volume Volume 23 (2016)
Volume Volume 22 (2015)
Volume Volume 21 (2014)
Volume Volume 20 (2013)
Volume Volume 17 (2010)
Volume Volume 16 (2009)
Volume Volume 15 (2008)
Volume Volume 14 (2007)
Volume Volume 13 (2006)
Volume Volume 12 (2005)
Volume Volume 11 (2004)
Volume Volume 10 (2003)
Volume Volume 9 (2002)
Volume Volume 8 (2001)
Volume Volume 7 (2000)
Volume Volume 6 (1999)
Volume Volume 5 (1998)
Volume Volume 4 (1997)
Volume Volume 3 (1996)
Volume Volume 2 (1995)
Volume Volume 1 (1994)

Scientia Iranica

SCImago Journal & Country Rank
Li, Y., Chiu, Y., Lu, L., Liu, H. (2018). Innovation and Environment Performance : An empirical study on 31 cities in China. Scientia Iranica, (), -. doi: 10.24200/sci.2018.50934.1927
Ying Li; yung-ho Chiu; Liang Chun Lu; Haoxuan Liu. "Innovation and Environment Performance : An empirical study on 31 cities in China". Scientia Iranica, , , 2018, -. doi: 10.24200/sci.2018.50934.1927
Li, Y., Chiu, Y., Lu, L., Liu, H. (2018). 'Innovation and Environment Performance : An empirical study on 31 cities in China', Scientia Iranica, (), pp. -. doi: 10.24200/sci.2018.50934.1927
Li, Y., Chiu, Y., Lu, L., Liu, H. Innovation and Environment Performance : An empirical study on 31 cities in China. Scientia Iranica, 2018; (): -. doi: 10.24200/sci.2018.50934.1927

Innovation and Environment Performance : An empirical study on 31 cities in China

Articles in Press, Accepted Manuscript, Available Online from 22 December 2018  XML
Document Type: Article
DOI: 10.24200/sci.2018.50934.1927
Authors
Ying Li1; yung-ho Chiu email 2; Liang Chun Lu3; Haoxuan Liu4
1Business School, Sichuan University, China, P.R.
2Department of Economics, Soochow university, Taipei, R.O .C
3Department of Economics, Soochow University, R.O.C.
4Business School, Sichuan University, Chengdu, 610064, China.
Abstract
After its rapid economic growth, China is facing a very serious problem of atmospheric pollution with major long-term atmospheric problems appearing in large cities. Air pollution not only affects people’s normal lives, but also has a greater negative impact on their bodies, causing diseases, impacting productivity, and influencing people’s creativity. Due to past articles, the discussion on the efficiency of innovation and research has not been considered the impact of environmental variables. This study combines energy consumption, economics, environmental variables and innovative research and development capabilities to analyze and explore the relationship between consumption, environment, economy, and innovative R&D capabilities, this is the feature of this article.
This study employ the Dynamic Data Envelopment Analysis (DEA) model to calculate energy consumption efficiency, R&D input efficiency, innovation patent output efficiency, carbon dioxide emission efficiency, and AQI efficiency of each city and further compare each city to find their space for improvement.
The results of the study show that 10 cities have a total efficiency score of 1, implying the improvement space is already 0, whereas the total efficiency scores of the other 21 cities mean there is still much room for improvement, and there are big differences among the cities.
Keywords
AQI efficiency; energy efficiency; re-sampling; CO2 efficiency; innovation efficiency; SBM DEA
Main Subjects
Development of production planning and production scheduling systems and applications
Supplementary Files
Statistics
Article View: 62