This book provides a dynamic simulation model based on input-output table. The model includes an objective function, i.e. maximizing economic and social development and three sub-models, including economic growth model, pollutant emission model and energy balance model. The data of 2012 is selected as the base period data. The haze control policy of Hebei Province is written into the model as an exogenous variable. Reducing the total PM2.5 emissions is an environmental constraint, which is used to eliminate the impact of natural factors on environmental quality. Lingo software is used to simulate this model. By comparing the socio-economic impacts in different scenarios, this book found the most effective policy combination of haze governance. Comprehensive haze governance policy recommendations provide experience for other regions of China and other developing countries. In this book, the dynamic simulation model of haze governance also provides a reference to other environmental policy simulations.

This book provides a dynamic simulation model based on input-output table. The model includes an objective function, i.e. maximizing economic and social development and three sub-models, including economic growth model, pollutant emission model and energy balance model. The data of 2012 is selected as the base period data. The haze control policy of Hebei Province is written into the model as an exogenous variable. Reducing the total PM2.5 emissions is an environmental constraint, which is used to eliminate the impact of natural factors on environmental quality. Lingo software is used to simulate this model. By comparing the socio-economic impacts in different scenarios, this book found the most effective policy combination of haze governance. Comprehensive haze governance policy recommendations provide experience for other regions of China and other developing countries. In this book, the dynamic simulation model of haze governance also provides a reference to other environmental policy simulations.

This book provides a dynamic simulation model based on input-output table. The model includes an objective function, i.e. maximizing economic and social development and three sub-models, including economic growth model, pollutant emission model and energy balance model. The data of 2012 is selected as the base period data. The haze control policy of Hebei Province is written into the model as an exogenous variable. Reducing the total PM2.5 emissions is an environmental constraint, which is used to eliminate the impact of natural factors on environmental quality. Lingo software is used to simulate this model. By comparing the socio-economic impacts in different scenarios, this book found the most effective policy combination of haze governance. Comprehensive haze governance policy recommendations provide experience for other regions of China and other developing countries. In this book, the dynamic simulation model of haze governance also provides a reference to other environmental policy simulations.