Abstract
Forests play a very important role in carbon dioxide emissions and climate change, and the development of China’s forestry is of great significance to our citizens. However, it is an arduous task for us to improve forestry output at a high and good level while taking environmental factors into account. In this paper, the non-expected super-efficiency SBM (slacks-based measure) model was used to measure the forestry ecological efficiency (FEE) of 31 provinces in China from 2004 to 2018, and the spatial and temporal evolution of FEE in different regions of China was analysed by using spatial econometric method. Tobit regression and random forest algorithm were selected to analyze the influence on FEE. The results showed that, firstly, the average annual increase of the national total factor productivity change of China’s forestry was 1.2%, and that the average annual increase of the national total factor productivity change in the eastern region was lower than that in the central and western regions. Secondly, the distribution of China’s FEE of the northeast and the south was higher, and FEE of China’s middle regions was relatively lower in 2004, but then the FEE in Northeast China has decreased, and the FEE has increased gradually from north to south in 2018. The agglomeration of high-tech industries in most regions of China had obvious positive spatial correlation characteristics in 2018. Thirdly, there was a negative correlation between forestry fixed assets investment and FEE, environmental regulation was an important factor affecting the ecological efficiency of forestry in China, and the level of economic development and industrial structure also had a certain impact on FEE.
Highlights
Forestry is an important foundation of China’s national economy, and which is an important part of public welfare undertakings
There was a negative correlation between forestry fixed assets investment and forestry ecological efficiency (FEE), environmental regulation was an important factor affecting the ecological efficiency of forestry in China, and the level of economic development and industrial structure had a certain impact on FEE
In order to better analyze the regional characteristics of total factor productivity change (TFPC) in China, China is divided into three regions according to the National Bureau of Statistics
Summary
Forestry is an important foundation of China’s national economy, and which is an important part of public welfare undertakings. China’s forestry industrial structure and output value have been constantly optimized and improved in recent years. China’s forest coverage rate has increased from 18.2% in 2004 to 23% in 2018, and the total forestry output value has increased from 93.65 billion yuan in 2000 to 575.57 billion yuan in 2019. The growth rate of forestry was more than five times, and it has a continuous upward trend. The output value of forestry has increased rapidly, the quality and cost of growth were ignored by this simple quantity of growth, and people have had to face the ecological imbalance, energy crisis, environmental pollution, and other negative problems. Since the 19th National Congress of the Communist Party of China, the State Council and the people’s government have focused on forestry development sustainably
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