Next Article in Journal
Development of a Liveable City Index (LCI) Using Multi Criteria Geospatial Modelling for Medium Class Cities in Developing Countries
Previous Article in Journal
How does the Ecological Well-Being of Urban and Rural Residents Change with Rural-Urban Land Conversion? The Case of Hubei, China
Article

Can More Environmental Information Disclosure Lead to Higher Eco-Efficiency? Evidence from China

School of Economics and Trade, Hunan University, 109 Road Shijiachong, Yuelu District, Changsha 410079, China
*
Author to whom correspondence should be addressed.
Sustainability 2018, 10(2), 528; https://0-doi-org.brum.beds.ac.uk/10.3390/su10020528
Received: 6 December 2017 / Revised: 6 February 2018 / Accepted: 12 February 2018 / Published: 15 February 2018
The present paper investigates the impact of pollution information transparency index (PITI) on eco-efficiency using a novel panel dataset covering 109 key environmental protection prefecture-level cities in China over the period 2008–2015. We apply an extended data envelopment analysis (DEA) model, simultaneously incorporating metafrontier, undesirable outputs and super efficiency into slack-based measure (Meta-US-SBM) to estimate eco-efficiency. Then, the bootstrap Granger causality approach is utilized to test the unidirectional Granger causal relationship running from PITI to eco-efficiency. Results of DEA model show that there exist significant spatiotemporal disparities of eco-efficiency, on average, the eco-efficiency in eastern region is relative higher than those of central/western region. Estimates of ordinary least square (OLS) method, quantile regression, and spatial Durbin model document that the evidence of an inverted-U-shaped relation between PITI and eco-efficiency is supported, and the turning points vary from 0.3370 to 0.4540 with different model specifications. Finally, supplementary analysis of panel threshold model also supports the robust findings. Policy implications are presented based on the empirical results. View Full-Text
Keywords: environmental information disclosure; eco-efficiency; Meta-US-SBM; quantile regression; spatial Durbin model environmental information disclosure; eco-efficiency; Meta-US-SBM; quantile regression; spatial Durbin model
Show Figures

Figure 1

MDPI and ACS Style

Yu, Y.; Huang, J.; Luo, N. Can More Environmental Information Disclosure Lead to Higher Eco-Efficiency? Evidence from China. Sustainability 2018, 10, 528. https://0-doi-org.brum.beds.ac.uk/10.3390/su10020528

AMA Style

Yu Y, Huang J, Luo N. Can More Environmental Information Disclosure Lead to Higher Eco-Efficiency? Evidence from China. Sustainability. 2018; 10(2):528. https://0-doi-org.brum.beds.ac.uk/10.3390/su10020528

Chicago/Turabian Style

Yu, Yantuan, Jianhuan Huang, and Nengsheng Luo. 2018. "Can More Environmental Information Disclosure Lead to Higher Eco-Efficiency? Evidence from China" Sustainability 10, no. 2: 528. https://0-doi-org.brum.beds.ac.uk/10.3390/su10020528

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop