Space–Time Effect of Green Total Factor Productivity in Mineral Resources Industry in China: Based on Space–Time Semivariogram and SPVAR Model

Improving green total factor productivity (GTFP) is the key for China’s mineral resources industry to get out of dilemma resource depletion and environmental degradation. The Super Slacks-Based Measure (Super-SBM) model with undesirable output used calculate GTFP between 2004 2019, space–time correlation threshold quantitatively determined by semivariogram. On this basis, spatial weight matrix constructed, panel vector autoregression (SPVAR) estimate impact response among GTFP, import dependence, R&D investment. results show that: (1) maximum range in time space are 12.28 years 635.28 km, respectively. Taking as distance construct improves accuracy analysis. (2) increase dependence investment can effectively improve local its neighboring provinces. In long term, an has a positive on investment, reduce dependence. (3) impact, eastern region greater than western region, coastal provinces inland provinces, close source far away. Therefore, policies limit energy consumption, pollution, carbon emissions should be strengthened. incentive emphasized differently adopted sources areas. full process increased GTFP.