LAUSR

China has paid huge resources and environmental costs in the rapid economic development, which severely restricts China's sustainable development. As a mesolevel between macro(state) and micro(enterprise), urban management has many features that are different from traditional management. This research mainly discusses the construction of ecological smart city based on ecological economy and network governance. This research analyzes the current situation and problems of urban construction from three aspects: urban ecological economy, urban ecological environment, and urban ecological society. The ecological indicators of smart cities are used to reflect the true situation of the target. In order to facilitate quantitative analysis with the greatest possibility and accuracy, a batch of representative, comprehensive, and quantifiable indicator data is the key. By drawing on the existing literature and implementing it under the circumstances, the selected methods are frequency analysis and theoretical analysis, which are divided into three parts: economy, environment, and society to construct an urban ecological evaluation index system. Under the new network governance environment, the openness of government affairs has become more transparent and time-effective. Moving the government's work to the network not only enhances the construction of a clean government, but also increases the level of public participation. The main ways of citizen participation created by network governance are carrying out online voting, making anonymous online speeches, and online inquiries about politics, etc. These ways have expanded the traditional government governance methods. Not only that, network governance can make the government's management process more transparent. In this situation, government activities are carried out under the supervision of citizens, which can alleviate the phenomenon of corruption. After the implementation of the ecological smart city plan, the green coverage rate of the built-up area of City A will increase by 1.8% compared with 2017, showing an upward trend. This research will provide effective guidance for the development of ecological smart cities.