Scientifically judging the environmental effects of embedding in the global value chain (GVC) has important theoretical significance and practical value, especially for emerging economies, but there are few studies on the relationship between GVC embedment and environmental pollution in emerging economies. Based on the classical theory of Grossman, this study analyzed the mechanism framework of GVC embedment on environmental pollution and then used the panel data of 16 emerging economies from 1998 to 2019 for empirical tests. After using the FGLS regression model and a series of empirical tests, the main conclusions are as follows. (1) The impact of GVC embedment on environmental pollution in emerging economies includes five effects. The scale effect brings about the expansion of production activities and increases the emission of environmental pollutants. The technological effect refers to improvements in the level of clean technology, which are brought about by the acquisition and acceptance of “technology spillover” in the value chain. The structural effect is the reduction in pollutant emissions and improvement in the environment through economic upgrading. The income effect is a “demand push” to improve the environment and reduce pollution triggered by an increase in national income. The lock-in effect means that the leaders of the value chain hinder emerging economies from achieving high-level economic upgrades, intending to lock them into the links with relatively high pollution. These effects are not static but are interlinked and affect each other. (2) The results of the empirical study show that embedding in the GVC initially has a negative impact on the environment, but with the deepening of GVC embedment, environmental pollution will decrease; that is, it shows an inverted U-shaped relationship. (3) The density of energy use, the share of fossil fuels, and the per capita income of emerging economies are positively correlated with environmental pollution, while population density and manufacturing share are negatively correlated. This study also provides suggestions on how to improve the environment in the process of GVC embedment in the future.

In the context of building a modern industrial system, digital finance inclusive (DFI) and environmental regulation (ER) have become significant drivers of industrial structure upgrading. Amid the rapid development of DFI and the tightening of ER, high-quality development goals have been set. From a spatial perspective, can DFI, ER, and their interactions positively impact China’s industrial structure? Based on panel data from 30 provinces in China from 2011 to 2020, empirical analysis is conducted using the Spatial Durbin Model and the Threshold Model. The study find that, firstly, in spatial regression, both DFI and ER significantly promote the upgrading of industrial structures, with notable spatial spillover effects. Secondly, it was discovered that the interaction between DFI and ER have a significant negative impact on industrial structure upgrading, with a pronounced negative spatial spillover effect, indicating a "siphon effect," which is a new finding. In the threshold model regression, it is found that both DFI and ER exhibit a single-threshold effect, while their interaction shows a double-threshold effect. In the heterogeneity test, it is found that the interaction between DFI and ER on industrial structure upgrading is greatly influenced by regional factors, with significant differences across different regions. Therefore, it is crucial to pay attention to the threshold values in the threshold effect while considering the unique economic and geographical attributes of each region to formulate targeted strategies.

As China advances toward its “Dual Carbon” goals, clarifying the role of the digital economy (DE) in reducing urban carbon emissions is of growing importance. This study uses panel data from 274 Chinese prefecture-level cities (2011–2022) and applies benchmark regression, the Spatial Durbin Model (SDM), two-regime SDM, threshold analysis, and mediation effect modeling to examine the impact of the DE on carbon emission intensity (CEI) and its spatial spillover effects. Results show that the DE significantly reduces CEI through both direct and indirect channels. Spatial analysis reveals that the DE’s spillover effect is most pronounced within a 500 km range. Regionally, the DE has a stronger inhibitory effect on CEI in eastern and western regions, while its effect in the central region is weaker or even reversed, likely due to reliance on carbon-intensive industries. Resource-based cities exhibit stronger spatial spillovers than non-resource-based ones, suggesting greater potential for DE-driven low-carbon transitions. A threshold effect is also identified at a DE index value of 0.0326, beyond which the marginal benefits decline. Pathway analysis indicates that while the DE improves production efficiency, it does not significantly promote green, high-value-added transformation, partially masking its carbon reduction effects. These findings highlight the need for tailored regional strategies to enhance the low-carbon potential of the DE.

This study investigates the impact and mechanisms of digital inclusive finance (DIF) on high-quality economic development in China. Drawing on panel data from 281 prefecture-level cities between 2011 and 2021, we employ a Spatial Durbin Model (SDM) to analyze both the direct effects and spatial spillovers of DIF. The results indicate that (1) DIF has a significantly positive effect on high-quality development, which remains robust after conducting various stability and endogeneity tests; (2) DIF strongly contributes to economic upgrading in eastern regions, while its impact is weaker or even negative in central and western regions, revealing notable regional disparities exist; (3) a key finding is the identification of a double-threshold effect, suggesting that the positive influence of DIF only emerges when financial and industrial development surpass certain thresholds; (4) results from the two-regime SDM further show that spillover effects are more prominent in non-central cities than in central ones; and (5) mechanism analysis reveals that DIF facilitates high-quality growth primarily by promoting industrial structure upgrading. These findings underscore the importance of region-specific policy strategies to enhance the role of DIF and reduce spatial disparities in development across China.

With the rapid development of the economy and the transformation of social contradictions, the economic development model in China has also changed, and a high-quality economic development model has been proposed. This paper uses the entropy method to measure the level of innovation and high-quality economic development in nine prefecture-level cities in Fujian Province from 2011 to 2020, and finds that the overall level shows an increasing trend year by year, but there are obvious regional differences. By constructing a grey correlation degree model, it is found that the innovation subsystem and the high-quality economic development are strongly correlated, the development level of innovation and the subsystem of high-quality economic development are both strongly correlated, the grey correlation degree from high to low is green, coordinated, shared, and livelihood, indicating that innovation has a significant impact on high-quality economic development. Based on the research results, countermeasures and suggestions are proposed to promote the coordinated development of innovation and high-quality economy.

Sustainable management of Portunus pelagicus is hindered by uncertain stock boundaries across rapidly changing marginal seas and culturally diverse markets. We measured 12 size-adjusted morphometrics in 525 adults from five sites (Kyushu, Xiamen, Tainan, Hong Kong, and Singapore). Canonical variate analysis resolved three robust groups that mirror oceanographic regimes: a Kuroshio–China group (Kyushu, Xiamen, and Hong Kong), a Taiwan Strait subgroup (Tainan), and a Southeast Asia group (Singapore). Permutation tests (1000 runs) showed near-zero probabilities of observing the low misclassification rates by chance (p < 0.001). A reproductive trait (female AB3W) displayed group-specific allometric slopes, consistent with local functional demands. We integrate these results with a cultural ecology lens—linking ornamental carapace valuation to selective harvest—to propose morphological management units (MMUs) and region-specific rules that can be implemented immediately and refined with genomics. This work reframes a descriptive morphometric study into a socio-ecological mechanism for climate-ready, actionable fisheries governance.