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THE IMPACT OF ELECTRIC VEHICLE SALES ON PM2.5 LEVELS AND ECONOMIC GROWTH IN FIVE MAJOR REGIONS OF CHINA: A LINEAR REGRESSION ANALYSIS
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Data for the research paper done chapters 1, 2, 3, and 4
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Prov year GDP (100 million CPI (consum POP (population density, peoPM2_5 SVShanghai 2016 29887 0.8 3816 44.6 38043
Hunan 2016 30853.5 0.5 3523 48.1006 9730
Guizhou 2016 11792.4 -0.4 2182 31.9213 1424
Hubei 2016 33353 0.7 2475 55.02115 5008
Beijing 2016 27041.2 -0.4 1145 72.75833 52554
Beijing 2017 29883 0.5 1144 57.88333 50562
Shanghai 2017 32925 -1.5 3814 38.60833 60482
Guizhou 2017 13605.4 -0.5 2302 29.42593 3711
Hunan 2017 33828.1 -0.5 3883 46.21071 17134
Hubei 2017 37235 -0.7 2746 52.26474 11690
Hubei 2018 42022 0.4 2804 46.04487 20074
Beijing 2018 33106 0.6 1136 49.91667 70634
Guizhou 2018 15353.2 0.9 2412 26.59259 16161
Hunan 2018 36329.7 0.6 3174 39.85119 19516
Shanghai 2018 36011.8 -0.1 3823 35.41667 77251
Shanghai 2019 37987.6 0.9 3830 33.5 68370
Hubei 2019 45429 1.2 2846 44.69872 29818
Beijing 2019 35445.1 -0.2 1137 42 80577
Guizhou 2019 16769.3 0.6 2222 24.66667 7263
Hunan 2019 39894.1 0.9 3265 41.30952 18480
Shanghai 2020 38963.3 -0.8 3830 31.75 128340
Beijing 2020 35943.3 -0.6 1138 37.91667 93569
Hubei 2020 43004.5 -0.4 2778 37.17949 24471
Hunan 2020 41542.6 -0.6 3677 34.69643 28299
Guizhou 2020 17860.4 0.2 2262 21.69444 8012
Beijing 2021 41045.6 -0.6 1139 34.33333 128083
Hubei 2021 50091.2 -2.4 3017 36.1 74619
Guizhou 2021 19458.6 -2.5 2238 23.12037 35470
Shanghai 2021 43653.2 -0.5 3926 27.58333 244884
Hunan 2021 45713.5 -1.8 4719 34.96429 75873
Beijing 2022 41540.9 0.7 1140 30.16667 160046
Guizhou 2022 20010.4 1.5 2092 20.62857 85462
Hunan 2022 47558.6 1.3 4717 33.67857 141754
Shanghai 2022 44809.1 1.3 3905 24.5 335058
Hubei 2022 52741.7 1.8 3056 35.86275 164039
Shanghai 2023 47218.7 -2.2 3884 28.58333 363896
Guizhou 2023 20913.3 -1.9 1946 23.46296 117556
Beijing 2023 43760.7 -1.4 1141 34.5 206258
Hubei 2023 55803.6 -2 3095 37.72906 245849
Hunan 2023 50012.9 -1.6 4715 36.7381 184878
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