Journal of Resources and Ecology, Volume. 11, Issue 2, 206(2020)

The Threshold Effect of Rationalization of Industrial Structure on Air Quality in Shanxi Province

Meifeng ZHU1、*, Qinglong WU1, Huaming ZHANG2, and Zhanbo CHEN3
Author Affiliations
  • 1School of Economics and Management, North University of China, Taiyuan 030051, China
  • 2School of Economy, Shanxi University of Finance & Economics, Taiyuan 030006, China;
  • 3Guangxi University of Finance and Economics, Nanning 530003, China
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    Figures & Tables(5)
    • Table 1.

      The RIS value of 11 provincial cities in Shanxi Province from 2004 to 2016

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      Table 1.

      The RIS value of 11 provincial cities in Shanxi Province from 2004 to 2016

      YearLinfenLvliangDatongTaiyuanXinzhouJinzhongJinchengShuozhouYunchengChangzhiYangquan
      20040.2120.2890.1670.0680.2640.3150.1680.2200.3460.3140.036
      20050.1400.1370.0500.0350.0870.1440.0710.1700.2630.1340.007
      20060.1190.1020.0480.0050.0760.1120.1000.2070.1890.1080.010
      20070.1320.1010.0300.0070.0630.0820.0920.1640.1250.0850.009
      20080.2640.2430.1830.0860.2170.2330.2320.2250.2930.1960.034
      20090.1210.0740.0140.0270.0040.1000.0660.0150.1220.1130.001
      20100.0990.0920.0120.0170.0180.1000.0670.0200.1350.0240.001
      20110.1330.1130.0130.0260.0350.1020.0840.0290.1290.1330.005
      20120.1410.1100.0190.0280.0350.1140.1010.0170.0720.1950.011
      20130.1870.1820.0220.0770.0510.1400.1080.0370.0400.2100.043
      20140.1880.1550.0260.0670.0640.0680.0800.0360.0280.1580.035
      20150.1990.1200.0370.0890.0690.0590.0670.0250.0210.1090.028
      20160.2040.1440.0390.1310.0850.0680.0580.0320.0310.1020.029
    • Table 2.

      The results of stationary test

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      Table 2.

      The results of stationary test

      VariableLevin, Lin & Chu testADF testPP testResult
      Log(PM2.5)1.115(0.868)31.021*(0.096)32.028*(0.077)partially stable
      Log(SIS)0.177(0.570)10.926(0.976)6.793(0.999)unstable
      Log(RIS)-5.846***(0.000)54.754***(0.000)63.129***(0.000)stable
      Log(ES)-5.039***(0.000)22.553(0.191)46.760***(0.002)partially stable
      Log(PR)-0.582(0.280)12.998(0.933)12.425(0.948)unstable
      Log(PEC)-3.201***(0.001)15.001(0.862)29.269(0.137)partially stable
      Log(PIC)-2.657***(0.004)33.833*(0.051)59.631***(0.000)stable
      Log(PM2.5) -12.383***(0.000)141.249***(0.000)142.305**(0.000)stable
      Log(SIS) -10.393***(0.000)76.653***(0.000)107.207***(0.000)stable
      Log(RIS) -14.077***(0.000)114.197***(0.000)175.535***(0.000)stable
      Log(ES) -6.445***(0.000)45.882***(0.002)15.155***(0.003)stable
      Log(PR) -26.177***(0.000)112.683***(0.000)115.295***(0.000)stable
      Log(PEC) -8.339***(0.000)70.591***(0.000)79.752***(0.000)stable
      Log(PIC) -33.544***(0.000)141.090***(0.000)140.354***(0.000)stable
    • Table 3.

      The results of the threshold effect test

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      Table 3.

      The results of the threshold effect test

      Threshold effectType of threshold testNull hypothesisF-statisticProb.Critical value
      1%5%10%
      RISSingle thresholdlinear regression8.041***0.0025.8633.5892.537
      Double thresholdSingle threshold3.242*0.0826.6714.0222.823
      SIS (for RIS)Single thresholdlinear regression8.152***0.0077.6144.1212.695
      Double thresholdSingle threshold3.959**0.0376.7793.1832.023
      SE (for RIS)Single thresholdlinear regression7.751***0.0036.4093.8413.029
      Double thresholdSingle threshold2.916*0.0847.7323.9062.662
      PE (for RIS)Single thresholdlinear regression5.967**0.0176.4783.7142.541
      Double thresholdSingle threshold9.051***0.0047.5434.2962.995
    • Table 4.

      Test results of threshold estimates

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      Table 4.

      Test results of threshold estimates

      Threshold variableThreshold estimates95% confidence interval
      RIS-0.894(-2.134,-0.580)
      -0.659(-0.737,-0.580)
      SIS (for RIS)-0.308(-0.447,0.258)
      -0.296(-0.390,-0.214)
      ES (for RIS)1.059(0.852,1.072)
      1.267(0.779,1.383)
      PR (for RIS)-0.048(-0.117,-0.038)
      -0.227(-0.247,-0.217)
    • Table 5.

      The results of threshold regressions using different threshold variables

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      Table 5.

      The results of threshold regressions using different threshold variables

      Independen t variableModel 1Model 2Model 3Model 4
      Threshold variable-RISThreshold variable-SISThreshold variable-ESThreshold variable-PR
      SIS-0.249***(-4.128)-0.060(-0.789)-0.188***(-2.962)-0.258***(-4.313)
      ES0.079(1.577)0.097*(1.911)0.252***(3.399)0.044(0.875)
      PR-0.062(-0.502)-0.013(-0.102)-0.044(-0.357)0.212(1.553)
      PEC-0.077**(-2.064)-0.111***(-2.956)-0.097**(-2.594)-0.085**(-2.271)
      PIC-0.035(-1.111)-0.003(-0.093)-0.024(-0.772)-0.016(-0.513)
      RIS_1-0.039**(-2.418)-0.119***(-5.366)-0.086***(-5.438)-0.159***(-5.5030
      RIS_2-0.007(-0.244)-0.080***(-5.079)-0.044***(-2.889)-0.094***(-5.841)
      RIS_3-0.079*(1.764)-0.146***(-3.119)-0.079(-0.834)-0.154***(-3.671)
      R20.6600.4530.5520.574
      F-stat42.25***48.96***58.62***39.28***
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    Meifeng ZHU, Qinglong WU, Huaming ZHANG, Zhanbo CHEN. The Threshold Effect of Rationalization of Industrial Structure on Air Quality in Shanxi Province[J]. Journal of Resources and Ecology, 2020, 11(2): 206

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    Paper Information

    Received: Aug. 19, 2019

    Accepted: Jan. 5, 2020

    Published Online: Apr. 23, 2021

    The Author Email:

    DOI:10.5814/j.issn.1674-764x.2020.02.008

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