Identifying Hub Wastewater Propagation Chains in China’s National Economic System: A Model Coupled Input-Output Analysis with Graphical Theory

Wastewater propagation chains (WPCs) measure inter-sector average lengths (APL) of wastewater discharge. To achieve sustainable management, one needs to understand the mechanisms by identifying WPCs at a national level over time. However, traditional model is prone retaining APLs with lower values but larger discharge intensities, ignoring many linkages whereby intensities are less than preset threshold. Nevertheless, these overlooked valuable in understanding mechanisms. This study proposed new coupled input-output analysis graphical theory, called lengths-hub covariance graph (APL-HCG). can investigate where closeness sector exceeds thresholds. Furthermore, it capable for hub (HWPCs). Based on APL-HCG, resultant HWPCs decomposed as separated sub-chains which basically composed among certain significant sectors belonging secondary industry or tertiary industry. Scenario analyses show that effective reducing economic system. The total would decrease 1.36%, 2.53%, 2.46%, and 2.11% if we reduced 10% final demand all 2002, 2007, 2012, 2017. APL-HCG outperforms 0.14%, 1.61%, 0.47%, 0.10%, respectively. 0.21%, 0.68%, 0.70%, 0.35% better scenario random sampling number equal HWPCs, Certain policy implications were provided reduce effectively level.