At its core, the study employs the ECO-STRIDE framework, a comprehensive methodology intertwining dynamic efficiency modeling with spatial-temporal analysis and intelligent forecasting. Such an innovative approach enables researchers to capture not only the static efficiency metrics but also their evolution over time and geographically nuanced disparities. By coupling this with explainability techniques, specifically the SHAP method, the study identifies pivotal drivers that influence regional performance, illuminating complex interactions between socioeconomic factors and ecological health.

The findings paint a sobering yet instructive picture: despite incremental gains, the aggregate level of EETE across Chinese provinces remains modest, accompanied by stark regional disparities. Intriguingly, resource utilization efficiency generally surpasses the effectiveness of environmental governance across most regions. Provinces such as Qinghai and Hainan stand out with exemplary transition performance, reflecting perhaps more progressive policy environments or ecological endowments. In contrast, industrial powerhouses like Henan and resource-rich Inner Mongolia exhibit persistently low efficiency, pointing toward entrenched structural challenges in harmonizing growth with sustainability objectives. Guangdong offers a distinctive profile characterized by robust resource allocation but lagging governance effectiveness, signaling an urgent need for systemic coordination.

Deeper inspection reveals a dual-trend phenomenon: while overall efficiency in both resource utilization and governance improves, regional disparities concurrently intensify. The resource utilization stage has witnessed consistent enhancement, yet structural differentiation among provinces is accelerating. Environmental governance improvement lags, exhibiting pronounced polarization where high-efficiency regions continue to forge ahead while underperforming provinces widen the gap. The eastern region consistently demonstrates remarkable efficiency advantages in both dimensions, underscoring its advanced industrial framework and capacity to integrate governance and resource management synergistically.

Forecasting the future trajectory of EETE, the research introduces a cutting-edge composite predictive model—melding convolutional neural networks (CNN), long short-term memory (LSTM) networks, and attention mechanisms—crafted to evaluate trends in green governance and urbanization effectually. Demonstrating superior performance with an R² value of 0.9153%, root mean square error (RMSE) of 0.0595%, and mean absolute percentage error (MAPE) of 9.09%, this model outperforms conventional alternatives by significant margins. Projections spanning 2024 to 2035 indicate a steady upward trend in EETE across regions, though persistent disparities are anticipated. Provinces like Ningxia emerge as potential frontrunners in ecological performance improvement, while Henan may experience only marginal progress, reaffirming the uneven pace of transition.

Central to these nuanced dynamics, the SHAP-based feature importance analysis reveals a constellation of determinants that shape provincial EETE outcomes. Urbanization rate and industrial upgrading emerge as positive contributors, enhancing transition efficiency albeit with evident threshold effects, underscoring that benefits accrue differently depending on development stages and regional contexts. The forest land area’s relationship with efficiency is paradoxical: regions abundant in forest resources sometimes achieve lower ecological transition efficiency, suggesting that ecological endowments alone do not guarantee successful environmental governance. Moreover, the study highlights inefficiencies in green finance allocation, a misalignment that suppresses gains by concentrating resources in less impactful projects rather than systemic enhancements. Digital infrastructure, particularly in telecommunications penetration, plays a facilitative role by fostering transparency and regulatory capacity, thereby bolstering ecological outcomes.

The research foregrounds the critical need for tailored governance strategies that acknowledge the heterogeneity of provincial circumstances. For provinces exhibiting strong resource utilization but weak governance systems, like Guangdong, the establishment of coordinated “resource-governance” mechanisms is urged to bridge systemic gaps in pollution control and restoration efforts. Conversely, areas with chronically low efficiency, including Henan and Inner Mongolia, require intensified investment in green institutions, technical innovation, and human capital development to build governance capabilities capable of fostering balanced ecological progress. This differentiation in strategy underscores the complexity of achieving equitable and effective sustainability transformations.

Enhancing the regional monitoring and forecasting apparatus is imperative to support proactive ecological management. The study advocates for developing a dynamic EETE monitoring platform powered by deep learning analytics that integrate heterogeneous datasets encompassing green governance metrics, urban growth indicators, and ecological baselines. Such a system would enable real-time ecological transition early warnings, facilitating adaptive policy interventions tailored to the evolving needs of each province. Regions with high improvement potential like Ningxia should be leveraged as benchmarks to emulate best practices, while provinces exhibiting sluggish advancements necessitate phased, milestone-oriented roadmaps to systematically address governance deficiencies.

Optimizing green investment allocation emerges as a salient prescription. The current orientation of green finance shows structural inefficiencies by disproportionately favoring end-of-pipe solutions or projects with low marginal returns in ecological transition. Redirecting financial flows toward preventive, capacity-enhancing initiatives, particularly in emerging or structurally disadvantaged urban centers, would yield better systemic results. Concurrently, digital infrastructure expansion focused on environmental supervision and carbon monitoring can enhance the granularity and agility of ecological governance through improved data transparency and regulatory oversight.

The study’s insights into the nuanced interplay between ecological endowment and transition efficiency reveal persistent mismatches warranting targeted intervention. Regions with substantial forest coverage that still rank low in EETE illustrate how natural wealth, if not paired with adept governance and green technology adoption, fails to translate into tangible sustainability progress. For such provinces, integrating ecological asset management with industrial upgrading and innovation diffusion is critical to break out of resource-dependency traps and accelerate green transformation.

This research, pioneering in its methodological integration and regional depth, also highlights the broader systemic challenges underpinning ecological transition efforts within China. It demonstrates that achieving long-term sustainability requires harmonizing multifarious drivers—from urbanization to digital infrastructure—while addressing ingrained regional inequalities and structural inefficiencies in financing and governance. The composite model’s success showcases the immense potential of artificial intelligence in environmental policy formulation and monitoring, marking a pivotal moment in harnessing data-driven insights for sustainable futures.

Looking forward, the findings prompt a reevaluation of top-down approaches that treat provincial ecological transitions uniformly. Instead, a differentiated, evidence-based policy framework responsive to local conditions and capacities emerges as paramount. Enhanced data integration, coupled with transparent governance and smart financing strategies, can empower provinces to chart more precise development pathways aligned with ecological imperatives. China’s experience serves as a vital case study for other nations grappling with the complexities of ecological transformation amidst rapid urban and industrial growth.

In sum, the study’s comprehensive evaluation of ecological-environmental transformation efficiency across China not only advances academic understanding but also provides actionable guidance for practitioners and policymakers. By unraveling the multifaceted factors influencing EETE and projecting future scenarios with high precision, it fosters a more nuanced, strategic approach to sustainability governance that is desperately needed in the face of escalating environmental pressures and global climate challenges.

Some provinces display exceptional promise in reconciling economic vitality with ecological stewardship, setting exemplary standards for leveraging green governance innovations. Meanwhile, others underline the enduring obstacles borne of legacy industrial structures, governance deficiencies, and insufficient green financial support. Addressing these divergent realities through tailored, data-driven, and adaptive management strategies represents a critical frontier for achieving China’s ambitious sustainability goals.

Ultimately, this research exemplifies how blending sophisticated quantitative methods with domain expertise and explainability techniques can illuminate pathways toward resilient and equitable ecological transitions. As nations strive to meet the imperatives of climate action and environmental justice, such integrative frameworks will be indispensable in orchestrating effective, regionally attuned sustainability transformations that leave no province behind.

Subject of Research: Ecological-environmental transformation efficiency and sustainability governance across Chinese provinces.

Article Title: Ecological–environmental transformation efficiency in China: regional disparities, modeling challenges, and prospects for long-term sustainability governance.

Article References:
Fang-Rong, R., Tao-Feng, W. & Qing-Qing, Z. Ecological–environmental transformation efficiency in China: regional disparities, modeling challenges, and prospects for long-term sustainability governance. Humanit Soc Sci Commun 12, 1734 (2025). https://doi.org/10.1057/s41599-025-06013-1

Image Credits: AI Generated

DOI: https://doi.org/10.1057/s41599-025-06013-1

Historically, the literature has acknowledged that political factors influence environmental policy efficacy, yet few studies have dissected the precise mechanisms linking political turnover with air quality fluctuations at the prefectural city level in China. This void is now addressed through a quasi-experimental framework that distinguishes between the government system—embodied by the mayor—and the Party system—represented by the Party secretary. Unlike the centralized focus on provincial or national governance, this granular examination provides a window into the micro-political processes shaping environmental governance amid leadership changes at the local scale.

The study’s most striking finding is that mayoral turnover correlates with a significant short-term spike in pollutant emissions. This counterintuitive outcome underscores how mayoral transitions introduce periods of administrative instability and policy uncertainty, disrupting the ongoing governance and regulatory enforcement essential for maintaining air quality standards. The research situates mayors as pivotal actors who drive local environmental management, responsible for orchestrating policy initiatives that can either sustain or squander gains in pollution reduction. When turnover occurs, the lack of continuity weakens regulatory oversight and diminishes the enforcement of environmental protections, thereby exacerbating pollutant discharge.

In stark contrast, the Party secretary turnover does not exhibit a statistically meaningful effect on air pollution levels in the immediate term. This observation challenges assumptions about the Party secretary’s influence, suggesting that their authority over environmental governance may be more indirect or symbolic, particularly in administrative domains where policy implementation requires decisive local executive action. Previous research paralleling these findings indicates that Party secretaries may lack strong incentives to prioritize environmental outcomes due to the ambiguous relationship between environmental performance and their political career advancement.

Critically, the adverse impacts of mayoral turnover are not homogeneous across all prefectural cities. Variability arises depending on factors such as geographic location, the origin of the incoming mayor, the tenure of preceding officials, and the presence of national environmental oversight mechanisms. Eastern Chinese cities, which generally face greater industrial activity and denser populations, experience more pronounced pollution increases during mayoral transitions. Similarly, cities appointing mayors from outside the jurisdiction are vulnerable to heightened disruption, as incoming leaders must navigate unfamiliar political terrain, compounding governance delays and inefficiencies.

Moreover, cities with long-serving prior mayors display intensified negative outcomes following turnover, indicating that entrenched local political networks or established environmental strategies are destabilized by sudden leadership changes. Newly appointed mayors who are younger also correlate with greater pollutant surges, potentially reflecting lower levels of administrative experience or weaker established authority. An additional layer of complexity emerges with the involvement of the Central Environmental Protection Inspection (CEPI); cities not subject to CEPI inspections suffer exacerbated pollution spikes during turnovers, highlighting the remedial role of vertical supervisory regimes in buffering local political turbulence.

These findings amplify the discourse on political accountability in environmental governance, emphasizing the mayor’s role as a linchpin in the local policy apparatus. While the Party system remains politically dominant in theory, the executive functions and day-to-day environmental decision-making vested in mayors determine whether air pollution is effectively managed or neglected. Consequently, empowering mayors with clear regulation authority, alongside rigorous performance monitoring, is paramount. This also implies institutional reforms that hold mayors individually accountable for environmental indicators, especially during transition phases prone to governance vacuums.

Ensuring policy continuity emerges as a central recommendation stemming from these insights. Mayoral turnover inherently breeds uncertainty that undermines sustained pollution control efforts, a phenomenon best mitigated through mechanisms that support leadership transitions without interrupting governance momentum. This involves establishing structured handover protocols, transitional support teams, and embedding environmental goals within long-term strategic plans transcending individual administrations. Such frameworks would enable newly installed mayors to maintain the trajectory of ongoing initiatives rather than default to disruption.

Beyond localized strategies, the study highlights the critical role of vertical oversight in safeguarding air quality improvements amidst political flux. The Central Environmental Protection Inspection’s function as an independent auditor and enforcer surfaces as a stabilizing force that constrains opportunistic backsliding on environmental commitments during volatile leadership periods. This vertical supervision creates external pressure on municipal officials to persist in upholding regulatory standards, effectively counterbalancing the transient weakening of environmental supervision caused by mayoral turnover.

Importantly, the research also cautions against the formation of an environmental-political business cycle wherein pollution levels oscillate in response to political transitions. Such cyclical environmental degradation underscores the fragility of governance mechanisms when they are overly dependent on individual leaders’ tenure. Long-term environmental sustainability thus necessitates institutionalizing robust laws and regulations that retain priority regardless of local political dynamics. Clear mandates, enforceable penalties, and transparent monitoring systems provide the scaffolding to insulate environmental governance from personal or partisan fluctuations.

The implications of these findings stretch beyond the Chinese context, offering lessons for other rapidly urbanizing and politically complex nations grappling with the balance between economic development and environmental stewardship. The evidence that administrative leadership continuity matters profoundly for environmental outcomes reinforces the need for governance reforms that prioritize not just the substance of policies but the stability of their implementation. Changes in political personnel are inevitable, yet their disruptive potential can be mitigated by well-designed transitional governance models and oversight systems.

Moreover, integrating environmental stewardship directly into the criteria for promotion and assessment of both mayors and Party secretaries represents a strategic lever for embedding long-term accountability. By aligning career incentives with environmental performance metrics, political leaders would gain tangible motivation to prioritize sustainable practices. This strategic recalibration would help break the current disconnect where political advancement and environmental protection appear insufficiently linked, enhancing the prospects of durable governance advances against air pollution.

As urbanization in China’s prefecture-level cities intensifies, the urgency of addressing air quality challenges cannot be overstated. This research elucidates that effective pollution control depends not only on technical solutions and regulatory frameworks but critically on the political actors who execute these policies on the ground. Mayors, as primary executors and local policymakers, command pivotal influence, and their turnover periods demand targeted management attention to avert lapses in environmental governance.

In conclusion, the nuanced relationship between political turnover and environmental quality in China’s prefectural cities reveals complex governance dynamics with significant policy implications. While mayoral changes pose immediate challenges by increasing pollution through policy discontinuity, Party secretary turnovers appear less impactful in the short run. Strengthening institutional continuity, enhancing vertical supervision, and embedding environmental outcomes into political incentives are critical pathways to achieving resilient environmental governance capable of withstanding political fluctuations. The findings call for a recalibration in how political leadership transitions are managed, underscoring that stable, accountable local governance is indispensable for sustainable air quality improvement.

Article References:
Yang, C., Zhang, J. & Li, R. Political official turnover and environmental governance: who is more influential on local air pollution in China. Humanit Soc Sci Commun 12, 745 (2025). https://doi.org/10.1057/s41599-025-05052-y