Total-factor energy efficiency (TFEE) is widely used to measure energy efficiency under the data envelopment analysis (DEA) framework, but the efficiencies obtained from DEA are structurally biased upward, and thus TFEE tends to overestimate energy efficiency. This research thus applies the bootstrapped DEA approach to correct the bias of TFEE. Using a dataset consisting of 30 provinces of China in the period 2016–2019, the bootstrapped-based test supports technology with variable returns to scale. The biased-corrected TFEE also indicates that energy consumption on average can be scaled down by 42.36%, rather than the biased value of 19.4%. The bootstrapped clustering partitions provinces into three groups: Cluster 1, with Guizhou as the representative medoid, includes half of the superior coastal provinces in terms of actual energy consumption and TFEE and half of the competitive inland provinces, whereas Cluster 3 outperforms Cluster 2 in terms of TFEE, but the actual energy consumption is higher, with Shandong and Hebei as the representative medoids, respectively. Lastly, empirical results imply that the northeast and central regions need more government attention and resources to practice sustainable development and improve TFEE.

The purpose of the research is to examine the importance of financial rewards and managers’ motivations, including sustainable investment projects. For that, the role of financial motivation for managers is analysed to understand strategic priorities for sustainable investment policies. Panel data for non-financial listed companies in China are used to determine the best-fit values of the proposed model, and the results of the Lagrange multiplier (LM) and Hausman tests are discussed for sustainable investment strategies. The results demonstrate that both low-paid and highly-paid managers in valuable project firms tend to be conservative and that managers consolidate their positions through underinvestment. This finding is clear evidence that managers are reluctant to take a risk on sustainable investment strategies. However, highly-paid managers of non-valuable project firms are generally willing to obtain high productivity through advanced technologies. The results are also generalized for strategies that are related to project managers’ financial motivation to increase the efficiency of sustainable investment decisions.