1.资料名称:2021-1990年全球国际世界绿色全要素生产率数据 ; Z/ x. ]2 D* j4 N/ ?2 q7 f2.测算方式: U6 f* p& b& `+ P/ s$ s% C4 X
投入:劳动力,资本,能源& s; ~0 I9 L6 Y* o" K
期望产出:GDP 8 @) w, i$ G, I4 v. _非期望产出:CO2- ]/ E0 O4 A1 {
四种测量绿色全要素生产率模型均有:SBMGML,DDFGML,SBMML,DDFML ; Z* R& ~( N5 a- q; k: l包含EC和TC,软件使用为MaxDEA " j4 ^/ q$ Q n- I- z3.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!# K m; Q; Y7 U5 \, N( _' i 4.参考文献: + T+ q: `: ~! Z/ w4 Q3 a! d[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. 6 V! v3 x: P" R, i3 p( o h[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. & z8 `. v) z1 W7 V ; \6 j) p% e' H8 C( s$ Z# b