Research on the Temporal and Spatial Distribution and Influencing Factors of Forestry Output Efficiency in China

Forestry output efficiency is key to forestry development. China now promoting the development of forestry, and thus research on practical significance. Through data envelopment analysis (DEA)-Malmquist index, spatial autocorrelation model, fixed effect model panel data, in this study, we analyzed with indicators, such as asset input, employed personnel, total value, timber output, drew following conclusions. In time series, total-factor productivity (TFP) saw a rapid increase, which attributed technological progress change (TC), whereas (EC) imposed negative influences upon TFP. distribution, there was difference increase among eastern, central, western regions China, eastern region having fastest growth central slowest growth. According autocorrelation, aggregation (high–high (HH) low–low (LL)) significant positive correlation. optimized regression all had comprehensive technical wherein input indicators influences, influences.