A parametric method to estimate environmental energy efficiency with non-radial adjustment: an application to China

Abstract To estimate the performance of China in terms energy use efficiency during first two decades twenty-first century while also taking into consideration pollutant emission, this study uses a panel data set covering 30 provincial administrative regions mainland for period 2000–2016. overcome problems with DEA-based method, proposes an SFA-based model that can environmental maintaining regularity constraints imposed on undesirable output, by using Bayesian technique. Our empirical results show average value whole sample changed from 0.7858 2000 to 0.7726 2016, 0.7812 over period. This result is sharp contrast findings based often-used GDP/energy and GDP/undesirable output indexes, both which improving trend same suggests more sophisticated indexes should be used evaluate meaningful protection-related performance.