Efficiency analysis of world cement industry in presence of undesirable output: Application of data envelopment analysis and directional distance function

By Rossana Riccardi, Giorgia Oggioni, R. Toninelli. 2012

130 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Environmental Engineering, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/bce3306a089143d3cb38a817b5f118ce19e44d66

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. Peng Zhou
2. Dequn Zhou
3. Hui Wang
4. Ali Emrouznejad
5. Guo-liang Yang
6. Ning Zhang
7. Boqiang Lin
8. Yongrok Choi

In Environmental Engineering

1. Dequn Zhou
2. Peng Zhou
3. Hui Wang
4. Ali Emrouznejad
5. Guo-liang Yang
6. Ning Zhang
7. Boqiang Lin
8. Yongrok Choi

In Management Science and Operations Research

1. Dequn Zhou
2. Peng Zhou
3. Hui Wang
4. Guo-liang Yang
5. Ali Emrouznejad
6. Ning Zhang
7. Boqiang Lin
8. Yongrok Choi

Citations in the corpus

• A framework for measuring global Malmquist–Luenberger productivity index with CO2 emissions on Chinese manufacturing industries (2016, background): “, Environmental productivity of Chinese provinces [36], Productivity growth in OECD countries [62], environmental efficiency industry [35], energy efficiency of Indian manufacturing [34], Korean electric power industry [28], European commercial transport industry [27], electric power sector in Japan”
• Scenario-based energy efficiency and productivity in China: A non-radial directional distance function analysis (2013, background): “See, for example, Färe et al. (2007), Kumar and Managi (2010), Oh (2010), Oh and Heshmati (2010), Mukherjee (2010), Zhang et al. (2011), Riccardi et al. (2012), Chiu et al. (2012) and Picazo-Tadeo et al. (2012).”