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
  • [21] Monitoring of the Ecuadorian mountain rainforest with remote sensing
    Goerner, Anna
    Gloaguen, Richard
    Makeschin, Franz
    JOURNAL OF APPLIED REMOTE SENSING, 2007, 1
  • [22] Monitoring of the Ecuadorian mountain rainforest with remote sensing
    Goerner, Anna
    Gloaguen, Richard
    Makeschin, Franz
    Journal of Applied Remote Sensing, 2007, 1 (01):
  • [23] REMOTE SENSING OF THE CRYOSPHERE IN HIGH MOUNTAIN ASIA
    Osmanoglu, Batuhan
    Painter, Thomas H.
    Shean, David
    Arendt, Anthony
    Kargel, Jeffrey
    Margulis, Steven A.
    2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2017, : 2813 - 2816
  • [24] Role of an Altitudinal Zonal Basis and Remote Sensing Data in the Sustainable Management of Mountain Forests
    Nazimova, D., I
    Ponomarev, E., I
    Konovalova, M. E.
    CONTEMPORARY PROBLEMS OF ECOLOGY, 2020, 13 (07) : 742 - 753
  • [25] Role of an Altitudinal Zonal Basis and Remote Sensing Data in the Sustainable Management of Mountain Forests
    D. I. Nazimova
    E. I. Ponomarev
    M. E. Konovalova
    Contemporary Problems of Ecology, 2020, 13 : 742 - 753
  • [26] Strategic Asset Allocation and the Role of Alternative Investments
    Cumming, Douglas
    Hass, Lars Helge
    Schweizer, Denis
    EUROPEAN FINANCIAL MANAGEMENT, 2014, 20 (03) : 521 - 547
  • [27] The potential of remote sensing for monitoring rural land use changes and their effects on soil conditions
    Sommer, S
    Hill, J
    Megier, J
    AGRICULTURE ECOSYSTEMS & ENVIRONMENT, 1998, 67 (2-3) : 197 - 209
  • [28] Retraction Note: The role of remote imaging for mountain soil loss and sports image detection
    Nanjie Ding
    Suqiong Feng
    Arabian Journal of Geosciences, 2021, 14 (23)
  • [29] Soil's characteristics study and buried objects visualization using remote sensing
    Tabatadze, V.
    Prishvin, M.
    Saparishvili, G.
    Kakulia, D.
    Zaridze, R.
    DIPED 2007: DIRECT AND INVERSE PROBLEMS OF ELECTROMAGNETIC AND ACOUSTIC WAVE THEORY, 2007, : 134 - 138
  • [30] Soil characteristics estimation from multispectral and multipolarization radar remote sensing data
    Kulemin, GP
    Kurekin, AA
    Lukin, VV
    Zelensky, AA
    THREE-DIMENSIONAL AND UNCONVENTIONAL IMAGING FOR INDUSTRIAL INSPECTION AND METROLOGY, 1996, 2599 : 388 - 399