home   structure    disabled Versija neįgaliesiems  
         
   
Lietuvos socialinių mokslų centro Ekonomikos ir kaimo vystymo institutas
 
  LT  EN                  El. paštas: laei@laei.lt  
 
 
 
Mokslo publikacijos
2018-08-06

Energy–economy–environmental (3E) performance of Chinese regions based on the data envelopment analysis model with mixed assumptions on disposability

This paper presents a modified environmental production technology which imposes the proper disposability on the undesirable outputs depending on the underlying technical properties. Then, aggregate and disaggregate (Russell-type) data envelopment analysis (DEA) models are proposed to evaluate the energy–economy–environment (3E) efficiency based on the modified technology (hereafter referred to as the 3E-DEA models). The non-radial Malmquist productivity index is adapted to model the changes in the 3E productivity over time. A case study of 3E efficiency analysis for the 30 Chinese administrative regions during 2011–2013 is presented. In general, Chinese regions did not perform well in terms of 3E goals as only three of them exhibited full efficiency. It was also found out that the eastern area showed the best 3E performance, whereas the central area followed suit, thus putting the western area at end of ranking. Still, some regions in the eastern area showed 3E efficiencies lower than those of some cities in the central and eastern areas. Anyway, most of the regions showed improving 3E productivity during 2011–2013.

Keywords: Data envelopment analysis, undesirable outputs, strong and weak disposability, energy–economy–environmental efficiency, Malmquist index

 

Impact Factor: 0.568 (2017 Journal Citation Reports, Clarivate Analytics, 2018)

 

https://doi.org/10.1177/0958305X18757057

 

Yan, Q.; Wang, X.; Baležentis, T.; Streimikiene, D. 2018. Energy–economy–environmental (3E) performance of Chinese regions based on the data envelopment analysis model with mixed assumptions on disposability, In Energy & Environment 29(5): 664–684. [Science Citation Index Expanded]

 




derlius_2020.jpg
Baneris-8.jpg
Virselis_2019_raudona_lt.png
B_34658va3p.jpg
9B08E3R.jpg
c9l3L9fBmR.jpg
zedine1.jpg
                 
LAEI  |  A. Vivulskio g. 4A-13, 03220 Vilnius  |  Tel. (8 5) 2614525  |  Faks. (8 5) 2614524  |  El. paštas laei@laei.lt  |  Įm. kodas 111952970  |  PVM mokėtojo kodas LT119529716
Valstybės biudžetinė įstaiga. Duomenys kaupiami ir saugomi juridinių asmenų registre, kodas 111952970
  Pagaminta Xserv.lt