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10.1007/s10640-020-00492-3 http://scihub22266oqcxt.onion/10.1007/s10640-020-00492-3 32836853!7399602!32836853     free     free     free Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Environ+Resour+Econ+(Dordr) 2020 ; 76 (4): 635-653 Nephropedia Template TP {{tp|p=32836853|t=2020. Effects of the COVID-19 on Air Quality: Human Mobility, Spillover Effects, and City Connections |pdf=|usr=}}{{32836853}} gab.com Text Effects of the COVID-19 on Air Quality: Human Mobility, Spillover Effects, and City Connections JO: Environ Resour Econ (Dordr) http://www.kidney.de/pget.php?&tw=1&pmid=32836853 #FOAvip We quantify the causal effects of the coronavirus disease 2019 (COVID-19) on air quality in the context of China. Using the lockdowns in different cities as exogenous shocks, our difference-in-differences estimations show that lockdown policies significantly reduced air pollution by 12% on average. Based on the first lockdown city, Wuhan, we present three underlying mechanisms driving our findings: anticipatory effects, spillover effects, and a city's level of connection with Wuhan. Our findings are more pronounced in cities whose population was more willing to self-isolate or more susceptible to anxiety, or whose government faces less pressure to stimulate economic growth. Overall, this study contributes to the literature by evaluating the unintended consequences of the COVID-19 outbreak for air quality, and provides timely policy implications for policymakers. Twit Text FOAVip Effects of the COVID-19 on Air Quality: Human Mobility, Spillover Effects, and City Connections ????Environ Resour Econ (Dordr) http://www.kidney.de/pget.php?&tw=1&pmid=32836853 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32836853 #FOAvip English Wikipedia <ref>{{Cite pmid|32836853}}</ref> Effects of the COVID-19 on Air Quality: Human Mobility, Spillover Effects, and City Connections #MMPMID32836853 Liu S; Kong G; Kong D Environ Resour Econ (Dordr) 2020[]; 76 (4): 635-653 PMID32836853show ga We quantify the causal effects of the coronavirus disease 2019 (COVID-19) on air quality in the context of China. Using the lockdowns in different cities as exogenous shocks, our difference-in-differences estimations show that lockdown policies significantly reduced air pollution by 12% on average. Based on the first lockdown city, Wuhan, we present three underlying mechanisms driving our findings: anticipatory effects, spillover effects, and a city's level of connection with Wuhan. Our findings are more pronounced in cities whose population was more willing to self-isolate or more susceptible to anxiety, or whose government faces less pressure to stimulate economic growth. Overall, this study contributes to the literature by evaluating the unintended consequences of the COVID-19 outbreak for air quality, and provides timely policy implications for policymakers. äEffects of the COVID-19 on Air Quality: Human Mobility, Spillover Effe(epmc).pdf DeepDyve Pubget Overpricing