Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 6, Issue 1


Published
on

April 5, 2021


Pages


DOI

Article

Study on the Classification of Forestry Infrastructure from the Perspective of Supply Based on the Classical Quartering Method


Authors

Liying Zhang Affiliation:
Department of Economics and Management, Beijing Forestry University, Beijing 100083, China
, Jingyi Zhang Affiliation:
Department of Economics and Management, Beijing Forestry University, Beijing 100083, China
, Lixiu Zhang Affiliation:
Department of Agricultural Engineering, Shanxi Agricultural University, Jinzhong 030801, China
, Chengliang Wu Affiliation:
Department of Economics and Management, Beijing Forestry University, Beijing 100083, China
and Yang Zhang Affiliation:
School of Economics and Management, Beijing Forestry University, Beijing, China


Abstract

Complete forestry infrastructure is the material basis for the realization of forestry production, ecology, and social functions. In order to clarify the scope of duties of forest infrastructure suppliers, this paper analyzes the characteristics of forestry infrastructure from the perspective of main suppliers, and summarizes forestry infrastructure as a material engineering facility that provides public services for forestry production, forestry economics, and social and ecological functions. The classical quartering method of goods was used to classify forestry infrastructure, which is divided into four categories: private goods, crowded public goods, club goods, and pure public goods.


Keywords

forestry infrastructure, supply subject, category division, quartering method


Citation

Zhang, L., Zhang, J., Zhang, L., Wu, C., & Zhang, Y. (2021). Study on the classification of forestry infrastructure from the perspective of supply based on the classical quartering method. Applied Mathematics and Nonlinear Sciences, 6(1). https://doi.org/10.2478/amns.2021.1.00020

Published by: Engineering Journals

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