| Title |
Optimization of regional forestry industrial structure and economic benefit based on deviation share and multi-level fuzzy comprehensive evaluation |
| ID_Doc |
21595 |
| Authors |
Chen, S; Zhang, XM |
| Title |
Optimization of regional forestry industrial structure and economic benefit based on deviation share and multi-level fuzzy comprehensive evaluation |
| Year |
2019 |
| Published |
Journal Of Intelligent & Fuzzy Systems, 37.0, 1 |
| DOI |
10.3233/JIFS-179073 |
| Abstract |
Selecting and developing superior industries for regional adjustment can optimize industrial structure and promote regional coordinated development, which is an inevitable choice to promote regional economic development. Forestry industry is an important ecological resource and advantageous economic industry in China. Optimizing regional forestry industry structure is conducive to promoting the formation of forestry green supply chain and forestry green circular economy. At the same time, forestry development is highly dependent on forest resources endowment and natural conditions. The eastern part of China is the southern forest region. The congenital ecological location advantage is better, which makes the industrial structure advantage and location advantage better. The central region has the advantage of national strategic policy support, but its forestry resource endowment is not strong. This paper adopts the dynamic deviation-share method to study the total amount, structure and location competitiveness of forestry industry in 16 provinces. By comparing the forestry economic structure and regional competitive advantages of provinces, the author analyzed the comprehensive competitiveness and differences of forestry development and screened out the forestry dominant industries. The results show that the northeast forest region is rich in forest resources and has a good industrial structure, but its geographical location is not good at economic development level, its development conditions are not superior, and its competitive potential is weak. The industrial structure of the western region is very poor, but the forest resources are abundant, and the ecological advantages are good, which can offset the impact caused by the inadequate industrial structure. The forestry development in the eastern region mainly relies on the development of economic forest product planting and collecting industry, flower and ornamental plant planting. It has strong competitiveness and rapid development in the field of forestry economy. This study is of great significance for improving the level of provincial forestry economic development, building green forestry economy and narrowing the gap of provincial forestry economic development. |
| Author Keywords |
Deviation-share; forestry industry; fuzzy comprehensive evaluation; green circular economy |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:000474715000017 |
| WoS Category |
Computer Science, Artificial Intelligence |
| Research Area |
Computer Science |
| PDF |
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