HUBEI AGRICULTURAL SCIENCES ›› 2024, Vol. 63 ›› Issue (5): 229-235.doi: 10.14088/j.cnki.issn0439-8114.2024.05.039

• Economy & Management • Previous Articles     Next Articles

Research on value-added income distribution of collective construction land entering the market based on land use and classification

YUAN Chen-guang, WANG Ling-chao, SONG Yan-hua, WANG Zi-wei, WANG Lei   

  1. Institute of Geographical Sciences, Henan Academy of Sciences, Zhengzhou 450052, China
  • Received:2022-03-07 Online:2024-05-25 Published:2024-06-04

Abstract: The factors affecting value-added income of collective construction land entering the market were divided into external factors and internal factors. The external factors were divided into government influence factors and collective influence factors, and the government influence factor reflected the government’s contribution to value-added income. Collective influence factors and internal factors reflected collective contribution to value-added income. Based on the process data of collective construction land and agricultural land benchmark land price evaluation, the influence factor score was calculated and the regression model of value-added income and influencing factors was established. According to the contribution of government and collective to value-added income, the proportion of allocation by land use and classification was calculated. The results showed that there were great differences in the distribution proportion of value-added income at different levels, the proportion of government allocation decreased with the decrease of class, and the proportion of collective allocation increased with the decrease of class. For each decrease in the class level, the proportion of government allocation of the commercial service land, the industrial, mining and storage land would decrease by 2.66% and 2.34% respectively, and the proportion of collective distribution increased by 2.66% and 2.34% respectively. For the commercial service land, the average distribution proportion of government in the value-added income was 31.58%, which was significantly higher than 23.68% in the industrial, mining and storage land.

Key words: collective construction land, value-added income, allocation proportion, influencing factors, use, classification

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