1.资料名称:2021-1990年全球国际世界绿色全要素生产率数据4 Z$ o3 H* _! p, j. b) |8 M 2.测算方式:! M1 V Z" n- ^. L$ v2 c
投入:劳动力,资本,能源2 p$ ^& `) O, _" X0 u
期望产出:GDP6 W# @; u g6 B2 t3 _5 Z
非期望产出:CO21 s; X+ g5 g6 i- e
四种测量绿色全要素生产率模型均有:SBMGML,DDFGML,SBMML,DDFML5 F$ B+ W4 R8 d$ r4 Z) J
包含EC和TC,软件使用为MaxDEA . W$ V" A! P+ Z) d; z3 I4 q3.资料范围:包括原始数据、计算方法、计算结果和参考文献,大家可以验证一下,确保准确性!9 V) e/ J$ P$ g$ D, g' m3 L7 D; G4 Z2 O 4.参考文献: ( U! @" V% f; C3 Z9 M, k/ w. B( n" w[1]Sun X. Analysis of green total factor productivity in OECD and BRICS countries: based on the Super-SBM model[J]. Journal of Water and Climate Change, 2022, 13(9): 3400-3415.% a* r: X9 a* X; _7 {8 K# |" w
[2]Liu Z, Xin L. Has China's Belt and Road Initiative promoted its green total factor productivity?——evidence from primary provinces along the route[J]. Energy Policy, 2019, 129: 360-369.* i/ Y: H% q) Q5 ?
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