Research on High-Quality Development Evaluation and Regulation Model: A Case Study of the Yellow River Water Supply Area in Henan Province

Abstract

Unbalanced and inadequate development has led to challenges such as resource shortage, ecological fragility, and economic backwardness in the water-receiving area of Henan Province, which has hindered the high-quality development of the region. This research aims to construct a high-quality development regulation model. The single-indicator quantification–multi-indicator synthesis–multicriteria integration (SMI-P) method was used to evaluate the level of regional development; using the method of embedded system dynamics, the regulation model was constructed and applied. The results show that (1) from 2011 to 2020, the degree of regional high-quality development showed an increasing trend, rising from a low level (0.34) to a medium level (0.57), an increase of one level, but the level of high-quality development still has a lot of room for improvement and faces great challenges; (2) the development of a resource–ecology–economy–social system was in a state of non-harmonious balance, and the proportion of contributions of each system was very different, but the system was developing towards a state of harmony and balance; (3) based on the constructed high-quality development regulation model, the key constraints affecting the high-quality development of the Yellow River water supply area in Henan Province are per capita water consumption, per capita energy consumption, carbon emissions per capita, GDP per capita, etc. The model constructed in this paper can improve the quality development level through the application of examples. The high-quality development degree of the study area was increased from 0.57 to 0.8.

Research on the spatial patterns and evolution trends of the coupling coordination between digital finance and sustainable economic development in the Yellow River Basin, China

“…For example, Zhang et al (2022) [34] used the undesirable-SE-SBM model to calculate green development efficiency. This study refers to the studies of Han et al (2023) [35], Yin et al (2023) [36], and Zhang et al (2023) [37] to construct an evaluation index system of SED from the five dimensions of economic vitality, innovation power, green development, open development, and shared development. These dimensions contain 19 secondary indicators, such as the rationalization of the industrial structure, the advancement of industrial structure, and other indicators.…”

Assessing Water Resource Carrying Capacity and Sustainability in the Cele–Yutian Oasis (China): A TOPSIS–Markov Model Analysis

“…As the oasis' economy and society rapidly develop, improvements in sewage treatment, the water supply network, and water storage facilities address water scarcity from extreme weather, ensuring an overall improved water resource carrying capacity. In conclusion, compared to the evaluation index system established by the DPSR framework and Liu et al [15], Zhang et al [47] established an evaluation index system for the water resource carrying capacity that encompasses water resources, society, the economy, and the ecological environment. This comprehensive system takes into account multiple factors in water resource management, including human activity drivers, water resource pressures, water body conditions, and government and societal response measures.…”

Assessing the Effects of Environmental Flows on Water Quality for Urban Supply

“…Water quality monitoring entails a comprehensive assessment of various parameters such as chemical composition, physical characteristics, and biological indicators of water bodies, including rivers, lakes, oceans, and groundwater sources [10,11]. To assess the overall impact of these measures on a global scale, it is essential to employ a comprehensive visualization of the entire river basin [12].…”