“Administrative collaboration” is an important theoretical and methodological requirement proposed by the Chinese government to advance the environmental governance of the Yellow River Basin (YRB). In the governance of Yellow River water pollution, it has been regarded as a key strategy to respond to and resolve pollution issues. Administrative collaboration refers to the timely linkage and cooperation that government departments in different administrative regions of the basin carry out when water pollution occurs. China’s current legal documents have stipulated provisions on this; however, most of these provisions are only guiding rather than obligatory, so collaboration between government departments mainly relies on their respective willingness. As a result, administrative power barriers are difficult to break through, making it hard to implement collaborative governance. To address this, relevant entities should be endowed with obligations through legal provisions. This study innovatively proceeds from the perspective of normative texts, establishes administrative collaborative governance as a legal obligation that government departments at all levels must fulfill, and proposes a series of operable and specific supervision requirements. This is intended to ensure the effective implementation of administrative collaboration in governance practice, realize the value of sustainable basin development, and at the same time provide legislative references for governments around the world in carrying out collaborative governance of major rivers.

This paper explores the effects of multiple external shocks faced by manufacturers and the government on the macroeconomy and the quality of the ecological environment by constructing a dynamic stochastic general equilibrium model in various sectors, with the following conclusions: (1) Both productivity and environmental protection technology shocks can achieve the coordinated development of macroeconomic and ecological environments. (2) Environmental improvement is lagging behind business willingness to cut emissions, and an energy shock has an immediate but long-term unsustainable impact on reducing low-carbon emissions. (3) The effects of the government's three emission-reduction measures diverge significantly. In the short term, the carbon tax rate significantly improves environmental quality. However, in the long term, its effect is counterproductive, as it does nothing to support the coordinated development of the economy and ecological environment. The subsidies for energy conservation and emission reduction, along with government expenditure on pollution control, stimulate growth in output, consumption, and energy in the current period. However, the restoration effect on the ecological environment has a lag. (4) The long-term coordinated development of the ecological environment and economy will fundamentally necessitate continuous technological progress, as well as flexible and effective market mechanisms.

The sustainable development of the marine industry is a vital pillar for achieving global ecological balance and economic prosperity. As a crucial repository of resources and a vital regulator of climate, the ocean plays an irreplaceable role in supporting humanity’s long-term development. Against this backdrop, digital technology drives modern development, supporting decision-making and resource allocation while profoundly transforming industrial models. The resulting digital economy has become one of the core drivers of sustainable global economic growth. Given the close connection between the marine industry and the digital economy, attention has been drawn to whether a correlation exists between their respective growth rates. This study employs a Panel Vector Autoregression (PVAR) model based on panel data from China’s coastal provinces between 2012 and 2023. The empirical analysis reveals: (1) After a certain period, the growth rates of the digital economy and the quality development of the marine industry exhibit a mutually reinforcing trend. Furthermore, the innovation coupling coordination rate and the upgrading rate within the marine industry also strengthen each other, injecting endogenous momentum into the sustainable development of the marine sector. (2) When simulating external shocks through local government expenditure, it was found that while local government spending positively impacts the growth rate of the digital economy, its effect on the quality development rate of marine industries is limited, exhibiting a “single-helix” upward trend. This suggests the need to optimize the precision of policy support to better balance the coordinated sustainable development of the digital economy and marine industries. (3) The growth rate of the digital economy exerts a dual threshold effect on the quality development of marine industries. That is, there are two thresholds: 0.0099 and 0.0725. Initially, the promotion effect is relatively small with a positive and significant coefficient of 0.120. When exceeding the first threshold, the coefficient becomes 0.416, which is positively significant. When exceeding the second threshold, the promotion effect disappears. This necessitates differentiated strategies tailored to distinct developmental stages to propel marine industries toward high-quality, sustainable development empowered by the digital economy. Based on these findings, this study focuses on the relationship between the growth rates of the digital economy and marine industries, offering actionable recommendations for marine nations like China to advance high-level sustainable industrial development.