Evaluation of Technological Innovation Efficiency of New Energy Enterprises in the Yangtze River Delta Region—Based on a Two-Stage DEA Optimization Model
Because of the shortcomings of the traditional two-stage DEA model, on
the basis that the output of the first stage is completely transformed into the
second-stage input. The investment of scientific and technological personnel
and capital is added to construct a two-stage DEA optimization model to
evaluate innovation efficiency. The model is used to empirically measure the
overall efficiency of technological innovation and the efficiency of each
sub-stage of the 22 new energy-listed companies in the Yangtze River Delta from
2014 to 2019. An efficiency matrix is proposed. The empirical results show that
the overall innovation efficiency of new energy companies in the Yangtze River
Delta Region is above the medium level and that there are phenomena such as the
incoordination of input and output ratios in the companies’ innovation
processes. The technological innovation efficiency of new energy companies has
a two-stage nature, and efficiency gaps in different stages within each company
are evident. The low efficiency of technology R&D is a key factor
restricting the improvement of the overall innovation efficiency of new energy
enterprises. The degree of economic transformation efficiency should be better
to fit the overall efficiency.
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