Resources Science, Volume. 42, Issue 9, 1715(2020)

Spatiotemporal change of China’s overseas investment in farmlands and influencing factors

Jing HAN1, Zexiu CHEN1, and Xinhai LU1,2、*
Author Affiliations
  • 1College of Public Administration, Central China Normal University, Wuhan 430079, China
  • 2College of Public Administration, Huazhong University of Science and Technology, Wuhan 430074, China
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    Figures & Tables(9)
    Spatial variogram
    Trend of the spatial difference of China’s overseas farmland investment activities
    • Table 1. An overview of China’s overseas farmland investment, 2000-2017

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      Table 1. An overview of China’s overseas farmland investment, 2000-2017

      序号被投资国地区意向项目数量/个营运项目数量/个意向项目面积/万hm2营运项目面积/万hm2最早投资年份
      1尼加拉瓜北美洲1130.0030.002013
      2牙买加北美洲111.801.802011
      3澳大利亚大洋洲423.950.452011
      4巴布亚新几内亚大洋洲4451.6951.692009
      5埃塞俄比亚非洲3110.502.502008
      6安哥拉非洲3252.152.152010
      7贝宁非洲432.961.962001
      8刚果(金)非洲4339.5428.632007
      9加纳非洲213.650.052013
      10津巴布韦非洲4315.571.392003
      11喀麦隆非洲222.012.012006
      12利比里亚非洲111.001.002010
      13马达加斯加非洲553.953.452005
      14马里非洲112.002.002009
      15莫桑比克非洲986.386.262000
      16尼日利亚非洲644.233.232006
      17塞拉利昂非洲6517.824.152009
      18苏丹非洲221.671.172009
      19坦桑尼亚非洲310.130.062007
      20乌干达非洲445.240.582009
      21赞比亚非洲430.440.502003
      22阿根廷南美洲6634.3434.342010
      23巴西南美洲7544.404.402007
      24玻利维亚南美洲111.251.252005
      25哥伦比亚南美洲1140.0040.002010
      26圭亚那南美洲1162.7127.412011
      27乌拉圭南美洲440.400.402008
      28白俄罗斯欧洲1110.0010.002017
      29保加利亚欧洲557.426.622008
      30俄罗斯欧洲55101.3384.332004
      31乌克兰欧洲321.441.142013
      32菲律宾亚洲84254.445.642006
      33柬埔寨亚洲282725.7824.982000
      34老挝亚洲292875.2529.672002
      35缅甸亚洲232194.8285.312006
      36塔吉克斯坦亚洲4311.8911.092012
      37印度尼西亚亚洲151494.0262.652004
      38越南亚洲141336.5526.552005
    • Table 2. Factors affecting the change of spatial pattern of China’s overseas farmland investment development, 2000-2017

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      Table 2. Factors affecting the change of spatial pattern of China’s overseas farmland investment development, 2000-2017

      子目标指标单位数据来源
      资源基础耕地总面积(C1hm2FAO数据库
      人均耕地面积(C2hm2FAO数据库
      农用地比例(C3%FAO数据库
      谷物单产(C4kg/hm2FAO数据库
      人均淡水资源量(C5m3FAO数据库
      地缘政治建交时长(C6《中国外交》
      高层交往总数(C7《中国外交》
      领事磋商总数(C8《中国外交》
      声明、宣言和公报总数(C9《中国外交》
      对华免签证件数量(C10《中国外交》
      地缘经济年均出口总额(C11万美元《中国贸易外经统计年鉴》
      年均出口额增长率(C12%《中国贸易外经统计年鉴》
      年均进口总额(C13万美元《中国贸易外经统计年鉴》
      年均进口额增长率(C14%《中国贸易外经统计年鉴》
      年均对外承包工程完成营业额(C15万美元《中国贸易外经统计年鉴》
      对中投资合作政策数量(C16《中国外交》
      地缘文化年均在华留学生人数(C17《中国贸易外经统计年鉴》
      年均赴华旅游人数(C18人/次《中国贸易外经统计年鉴》
      人文合作交流总数(C19《中国外交》
      驻华领事机构数量(C20《中国外交》
    • Table 3. Overall Moran’s I index of China’s overseas farmland investment development, 2000-2017

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      Table 3. Overall Moran’s I index of China’s overseas farmland investment development, 2000-2017

      年份Moran’s IZP年份Moran’s IZP
      2000-0.01701.24520.113220090.54737.17150.0010
      2001-0.0411-0.28550.441020100.40335.00610.0022
      2002-0.0713-0.68350.258320110.30603.90240.0063
      2003-0.0369-0.11060.479020120.33214.21500.0051
      20040.24613.55860.012020130.32324.14610.0041
      20050.37125.11800.001220140.31043.99760.0053
      20060.41145.70020.004320150.37274.82100.0014
      20070.46846.87450.002220160.37924.89810.0010
      20080.53817.16040.001120170.42110.00130.0021
    • Table 4. Fitting results of China’s overseas farmland investment pattern variogram model

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      Table 4. Fitting results of China’s overseas farmland investment pattern variogram model

      年份模型变程块金值残差平方和基台值块金系数判定系数偏基台值
      2000高斯1333.680.00003.91E-030.03020.0000.1660.0302
      2004高斯22014.370.01401.25E-030.06340.2210.5560.0494
      2009高斯14306.740.00541.59E-030.05380.1000.6830.0484
      2017高斯14358.700.00631.73E-030.07170.0880.7810.0654
    • Table 5. China’s overseas farmland investment variability function fractal dimension

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      Table 5. China’s overseas farmland investment variability function fractal dimension

      年份全方向南—北东北—西南东—西西北—东南
      DR2DR2DR2DR2DR2
      20001.8530.2581.9450.2541.9790.0251.9290.1161.8930.188
      20041.8570.1961.9470.0051.7100.1191.9830.0011.5610.416
      20091.6710.5211.8310.1011.5600.2721.6330.1341.2260.653
      20171.6090.7341.8710.0501.6410.1881.5020.3531.2440.728
    • Table 6. Spatial dependence test results of spatial regression models

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      Table 6. Spatial dependence test results of spatial regression models

      TestMI/DFValueProb
      LM(lag)14.04540.04429
      R-LM(lag)15.76110.01638
      LM(error)10.15590.69296
      R-LM(error)11.87160.17129
    • Table 7. Regression results of influencing factors of China’s overseas farmland investment development

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      Table 7. Regression results of influencing factors of China’s overseas farmland investment development

      模型OLSSLMSEM
      CONSTANT-0.19740.4194-0.3593
      lnC10.01450.00610.0266
      lnC2-0.03150.0003-0.0479
      C3-0.0025-0.0032**-0.0043***
      lnC40.09990.0833**0.1745***
      lnC5-0.0203-0.0338-0.0448*
      C60.00300.00160.0025
      C7-0.0006-0.00090.0008
      C8-0.0240-0.0077-0.0135
      C90.00980.0123**0.0077*
      C10-0.0182-0.0368**-0.0136
      lnC11-0.00300.02050.0214
      C120.00410.0053*0.0057*
      lnC130.01820.02160.0191
      C140.00060.00080.0008
      lnC15-0.0319-0.0460*-0.0615**
      C160.00160.00120.0008
      lnC170.00810.00960.0107
      lnC18-0.0514-0.0637*-0.0883***
      C19-0.0010-0.0008-0.0028
      C200.04520.0451**0.0417**
      ρ-0.8654**
      λ7.8271***
      R-squared0.69380.72900.5487
      LogL29.083331.04953.3681
      AIC-16.1666-18.0990-18.7363
      SC18.222717.927915.6530
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    Jing HAN, Zexiu CHEN, Xinhai LU. Spatiotemporal change of China’s overseas investment in farmlands and influencing factors[J]. Resources Science, 2020, 42(9): 1715

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    Paper Information

    Received: Oct. 8, 2019

    Accepted: --

    Published Online: Apr. 23, 2021

    The Author Email: LU Xinhai (xinhailu@163.com)

    DOI:10.18402/resci.2020.09.07

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