The role of remote sensing for mountain soil characteristics and rural asset allocation

被引:0
|
作者
Wang H. [1 ]
机构
[1] School of Economics and Management, Beihang University, Beijing, 100191, Beijing
关键词
Asset allocation; Remote sensing image; Rural finance; Soil characteristics;
D O I
10.1007/s12517-021-07461-0
中图分类号
学科分类号
摘要
In recent decades, society has been progressing and developing rapidly, and the economy has overgrown. The development of rural areas in China has become more and more frequent. However, overexploitation and utilization of land will, on the one hand, lead to the deterioration of rustic soil quality and soil quality. On the other hand, overexploitation and utilization of rural land will also affect the yield and quality of crops. Overexploitation and utilization will hinder the speed of rural economic development. There are also good aspects in land development and utilization, which will promote rural economic growth to a certain extent. Land development and utilization will increase rural income and directly affect rural disposable assets. Focusing on the adverse effects again, some rural areas will suffer certain erosion due to human production and life. It will also cause severe soil erosion, soil quality, and water storage capacity. Simultaneously, this has also become a serious obstacle to ecologically sustainable development and hindering social and economic growth. To clarify the best ways to use rural land and analyze the stoichiometric ecological characteristics of soils in different regions, this paper uses field sampling, investigation and analysis, and soil sample analysis. It also shows that the soil carbon and nitrogen fixation in Chongqing’s mountainous areas has great potential. The ecological system restoration and soil erosion in this area provide sufficient theoretical support. Besides, the research based on the Chinese household financial survey data further analyzes the differences in the asset allocation of rural households. According to the research results, rural household finance is more inclined to low-risk asset allocation. At the same time, the household financial survey data of a particular province is compiled. The influencing factors are as follows: the level of education received, marital status, the number of households, consumption preferences, and housing prices have a significant impact on rural household assets. At the same time, through analysis, it is found that the asset ratio of urban and rural households has apparent effects, including education level and investment preference. © 2021, Saudi Society for Geosciences.
引用
收藏
相关论文
共 50 条
  • [31] Predicting Soil Organic Carbon Content Using Hyperspectral Remote Sensing in a Degraded Mountain Landscape in Lesotho
    Bangelesa, Freddy
    Adam, Elhadi
    Knight, Jasper
    Dhau, Inos
    Ramudzuli, Marubini
    Mokotjomela, Thabiso M.
    APPLIED AND ENVIRONMENTAL SOIL SCIENCE, 2020, 2020
  • [32] Distributional characteristics of emerging market returns and asset allocation
    Bekaert, G
    Erb, CB
    Harvey, CR
    Viskanta, TE
    JOURNAL OF PORTFOLIO MANAGEMENT, 1998, 24 (02): : 102 - +
  • [33] Mountain bridge design based on remote sensing images
    Liu Z.
    Wu X.
    Arabian Journal of Geosciences, 2021, 14 (15)
  • [34] An Overview of Remote Sensing for Mountain Vegetation and Snow Cover
    Hao, Xiaohua
    Li, Hongyi
    Wang, Xufeng
    Wang, Xiaoyan
    Huang, Xiaodong
    Bi, Jian
    REMOTE SENSING, 2022, 14 (22)
  • [35] Remote sensing technologies for mountain pine beetle surveys
    Wulder, M
    Dymond, C
    MOUNTAIN PINE BEETLE SYMPOSIUM: CHALLENGES AND SOLUTIONS, 2004, 399 : 146 - 153
  • [36] Role of remote sensing in the analysis of bare soil in a Sudanian Savanna (Burkina Faso)
    Puech, C
    Bechler, N
    Mietton, M
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2000, 21 (01) : 121 - 135
  • [37] Study on soil moisture remote sensing
    Shi, ZF
    Zhao, K
    IGARSS 2001: SCANNING THE PRESENT AND RESOLVING THE FUTURE, VOLS 1-7, PROCEEDINGS, 2001, : 2106 - 2108
  • [38] Quantitative remote sensing of soil properties
    Ben-Dor, E
    ADVANCES IN AGRONOMY, VOL 75, 2002, 75 : 173 - 243
  • [39] Microwave Remote Sensing of Soil Moisture
    Zeng, Jiangyuan
    Peng, Jian
    Zhao, Wei
    Ma, Chunfeng
    Ma, Hongliang
    REMOTE SENSING, 2023, 15 (17)
  • [40] An analysis of short put strategies and their role in asset allocation
    Schwalbach, Joao Bruno Meneses
    McClelland, David
    INVESTMENT ANALYSTS JOURNAL, 2018, 47 (03) : 272 - 283