Asia-Pacific Journal of Regional Science最新文献

{"title":"Nexus between growth trajectories and carbon dioxide emissions: re-examining the environmental Kuznets curve for Asian countries","authors":"Puja Biswas,&nbsp;Saddam Hossain Mondal","doi":"10.1007/s41685-026-00428-7","DOIUrl":"10.1007/s41685-026-00428-7","url":null,"abstract":"<div>\u0000 \u0000 <p>This study examined the growth patterns of carbon dioxide (CO₂) emissions for 29 selected Asian countries from 1990 to 2022. The growth patterns of per capita emissions of carbon dioxide for different countries were estimated by applying the trend-stationary or difference-stationary process. The growth rates of per capita CO₂ emissions for most Asian countries were either medium or high over the study period. The shape of the Environmental Kuznets curve was N-shaped for a few selected countries on the continent. Most countries maintained an expensive negative decoupling relationship between emissions of CO₂ and economic growth. The study also used the panel Autoregressive Distributed Lag Model (ARDL) method for the estimation of long-run and short-run relationships between emissions of CO₂ and a few environment-related indicators of selected Asian countries. The panel unit root test and Pedroni cointegration tests established evidence in favor of a long-run relationship between emissions of CO₂ and its determinants. In conclusion, the emissions of CO₂ in most of the selected countries can be reduced with improvements in increases in forest area and higher use of renewable energy.</p>\u0000 </div>","PeriodicalId":36164,"journal":{"name":"Asia-Pacific Journal of Regional Science","volume":"10 2","pages":""},"PeriodicalIF":1.7,"publicationDate":"2026-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147797156","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Population aging and total factor productivity: empirical evidence from China","authors":"Hongyu Ding,&nbsp;Hongmei Shao,&nbsp;Zizhou Ding,&nbsp;Boan Zhao","doi":"10.1007/s41685-026-00431-y","DOIUrl":"10.1007/s41685-026-00431-y","url":null,"abstract":"<div><p>Acceleration and deepening of population aging pose substantial challenges to global economic growth. Enhancing total factor productivity (TFP) has emerged as a pivotal strategy to mitigate these challenges and sustain long-term economic development. This paper examines the impact, mechanisms and spatial effects of population aging on TFP using data from 30 Chinese provinces between 2006 and 2019. The results indicate that population aging significantly hinders the improvement of TFP. The primary mechanisms through which population aging hinders TFP growth include constraining factor structure optimization, impeding technological innovation and reducing factor allocation efficiency. This paper also reveals that the negative impact of population aging on TFP is most prominent in the Northern Coastal Economic Zone and the Middle Yangtze River Economic Zone. Moreover, the impact of gradual population aging on TFP is not significant, but when population aging enters an accelerated period, it can have a significant negative impact on TFP. Further analysis shows that population aging does not have significant spatial spillover effects on TFP in neighboring regions, and its negative impact mainly exists within the local regions. In conclusion, the impact of population aging on TFP provides more direct empirical evidence and decision-making references for China to actively respond to population aging and improve TFP from both theoretical and empirical perspectives.</p></div>","PeriodicalId":36164,"journal":{"name":"Asia-Pacific Journal of Regional Science","volume":"10 2","pages":""},"PeriodicalIF":1.7,"publicationDate":"2026-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147797155","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prioritization of risks associated with mining permit restrictions in Indonesia’s new capital region: analytic hierarcy process and fuzzy-analytic hierarcy process approach","authors":"Agus Miswanto,&nbsp;Umar Dani,&nbsp;David Candra Birawidha,&nbsp;Kusno Isnugroho,&nbsp;Ridwan Sutriadi,&nbsp;Muhammad Ihsan Yudanto,&nbsp;Anandhika Arifianto,&nbsp;Meisha Putra Dewan,&nbsp;Amelia Andriani,&nbsp;Hendra Prasetia,&nbsp;Gyan Prameswara,&nbsp;Himawan Tri Bayu Murti Petrus","doi":"10.1007/s41685-026-00432-x","DOIUrl":"10.1007/s41685-026-00432-x","url":null,"abstract":"<div><p>The relocation of the capital of Indonesia to East Kalimantan has introduced a policy restricting the expansion of mining business permits as part of the sustainable development agenda. While aligned with long-term environmental and governance objectives, this policy generates potential risks for government institutions, industry, and local communities. This study applied the Analytic Hierarchy Process (AHP) combined with Fuzzy AHP to identify and prioritize these strategic risks. A hierarchical framework was constructed based on four main criteria—economic, regulatory, social and environmental—further elaborated into 21 sub-criteria validated through literature review and expert consultation. The sub-criteria were derived using a multi-stage process involving literature synthesis and expert judgment to establish content validity prior to the AHP–Fuzzy AHP analysis. Data were collected via structured expert questionnaires and analyzed using triangular fuzzy number weighting and ratio consistency testing. The results indicated that economy risks, particularly reduced investment and rising compliance costs, hold the highest priority weight (0.302), followed by social risk (0.274) and regulation risks (0.240). Environmental risks (0.184), while comparatively lower in aggregate weight, remained critical in relation to reclamation obligations and pollution management. These findings provide a basis for evidence-based mitigation strategies and support a just and orderly transition in mining governance during the establishment of the new capital region.</p></div>","PeriodicalId":36164,"journal":{"name":"Asia-Pacific Journal of Regional Science","volume":"10 2","pages":""},"PeriodicalIF":1.7,"publicationDate":"2026-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147797157","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring the role of environmental, social and governance factors in enhancing bank profitability in South Asia","authors":"Masud Rana,&nbsp;Md. Kamruzzaman,&nbsp;Md. Abdullah Al Mamun,&nbsp;Md. Kamal Hossain,&nbsp;S. M. Shahedul Alam,&nbsp;Sutap Kumar Ghosh","doi":"10.1007/s41685-026-00429-6","DOIUrl":"10.1007/s41685-026-00429-6","url":null,"abstract":"<div><p>This study examined the impact of Environmental, Social and Governance (ESG) factors on banking-sector profitability in South Asia, focusing on Return on Assets (ROA) and Return on Equity (ROE). Using a balanced annual panel of eight South Asian countries—Afghanistan, Bangladesh, Bhutan, India, Maldives, Nepal, Pakistan and Sri Lanka—spanning 1999–2023, we analyzed the roles of ESG factors alongside bank-specific (capital adequacy and non-performing loans) and macroeconomic controls (gross domestic product growth and inflation). Employing a suite of econometric techniques, including Fully Modified Ordinary Least Squares (FMOLS), Dynamic Ordinary Least Squares (DOLS), Augmented Mean Group (AMG), Common Correlated Effects Mean Group (CCEMG), Dynamic Panel Generalized Method of Moments (GMM) (Arellano–Bond estimator), and the Fixed Effects (FE) regression model, we uncovered nuanced insights into long-run and dynamic relationships. The results revealed that social factors consistently enhance profitability, while environmental factors positively influenced operational performance of ROA but showed limited effect on ROE. Governance factors exhibited heterogeneous effects, with FMOLS indicating short-term compliance costs that may reduce profitability, whereas AMG and CCEMG highlighted cross-country heterogeneity in ESG impacts. Bank capitalization and lagged profitability were robust drivers of performance, whereas non-performing loans and inflation played a minor role. Overall, ESG integration emerges as a viable strategy for financial performance in South Asian banks. These findings suggest that policymakers should strengthen environmental regulations, promote social infrastructure, and improve governance frameworks to facilitate ESG adoption, aligning profitability with sustainable growth.</p></div>","PeriodicalId":36164,"journal":{"name":"Asia-Pacific Journal of Regional Science","volume":"10 2","pages":""},"PeriodicalIF":1.7,"publicationDate":"2026-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147737652","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Drivers of carbon dioxide emissions in Brazil, Russia, India, China, and South Africa: a panel vector auto-regression approach","authors":"Mohammad Nadeem Rahimi,&nbsp;Anil Kumar","doi":"10.1007/s41685-026-00425-w","DOIUrl":"10.1007/s41685-026-00425-w","url":null,"abstract":"<div>\u0000 \u0000 <p>The Brazil, Russia, India, China, and South Africa (BRICS) countries contribute over 50% of the global population and approximately 40% of the world's Gross Domestic Product (GDP), and thus need to practice eco-friendly development. Thus, this study aimed to explore the correlation of CO₂ emissions (LogCO₂) with its main drivers, namely non-renewable energy consumption share (NREC), natural resource rents (AsinhNRR), and population growth (PG) in different developmental stages of BRICS members from 1995 to 2024. Annual data from the World Development Indicators (WDI) and International Energy Agency (IEA) were used to analyze these relationships within a unified framework. We employ a Panel Vector Autoregression (PVAR) model estimated using the system Generalized Method of Moments (GMM) approach, following tests for stationarity, multicollinearity, and cross-sectional dependence; Fixed effects for countries and years were included, and the optimal lag length was determined using the Modified Bayesian Information Criterion (MBIC), Modified Akaike Information Criterion (MAIC), and Modified Quasi Information Criterion (MQIC). The results indicate that demographic momentum and non-renewable energy consumption reinforce each other over time, while shocks to emissions and natural resource rents generate only limited short-run spillover effects. The impulse response analysis revealed a stable system where shocks to demographic growth and non-renewable energy consumption accumulate and reinforce each other over time, thereby strengthening explanatory power at longer horizons, while cross-effects from emissions and resource rents remain limited. Overall, in the short term, no variables consistently Granger-cause emissions or resource rents, and non-renewable energy consumption largely returns to its long-term trend after shocks. In conclusion, a demography-driven transmission channel suggests that managing demographic pressures and the energy mix presents more policy opportunities than focusing solely on immediate emission shocks. This has important implications for the Sustainable Development Goals (SDGs), particularly ensuring agricultural resilience against climate-related vulnerabilities (SDG2), air pollution, and improving public health (SDG3), and alleviating environmental pressures on clean water resources and supporting sustainable water management (SDG6).</p>\u0000 </div>","PeriodicalId":36164,"journal":{"name":"Asia-Pacific Journal of Regional Science","volume":"10 2","pages":""},"PeriodicalIF":1.7,"publicationDate":"2026-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147738223","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The impact of industrial green development on manufacturing global value chain position in the Greater Mekong Sub-Region","authors":"Wei Li,&nbsp;Niansong Tu","doi":"10.1007/s41685-026-00421-0","DOIUrl":"10.1007/s41685-026-00421-0","url":null,"abstract":"<div>\u0000 \u0000 <p>Against a backdrop of tightening environmental rules such as carbon border adjustments and shifting supply-chain geographies, the Greater Mekong Sub-Region (GMS) faces a dual imperative to green manufacturing and movement upstream in Global Value Chains (GVCs). Amid modernization, this study incorporated Industrial Green Development (IGD) into an analytical framework for manufacturing global value chain production positions (GVCPs) in the GMS. We constructed a composite IGD index along three dimensions, namely growth/adaptive capacity, resource endowments and foundational/transition factors and tested its effects with a 2007–2021 panel covering five GMS economies (excluding Myanmar). Two-way fixed-effect estimates and mediation models showed that a stronger IGD significantly upgrades manufacturing GVCPs, operating indirectly through two channels: higher production efficiency and green technological innovation. Heterogeneity analyses indicated more pronounced gains in higher-development economies and in both mid- to high-end and mid-low-end manufacturing segments. Additionally, instrumenting IGD with the share of green energy consumption in a Two-Stage Least Squares (2SLS) framework revealed no evidence of endogeneity or weak instruments, reinforcing a causal interpretation. These results yield policy-relevant guidance for governments and firms seeking to leverage IGD to accelerate industrial upgrading and capture greater value along GVCs in the GMS.</p>\u0000 <p>Against a backdrop of tightening environmental rules, carbon border adjustments, and shifting supply-chain geographies, the Greater Mekong Subregion (GMS) faces a dual imperative to green manufacturing and move upstream in GVCs. Amid modernization, this paper incorporates industrial green development (IGD) into an analytical framework for manufacturing global value chain production positions (Gvcps) in the GMS. We construct a composite IGD index along three dimensions—growth/adaptive capacity, resource endowments, and foundational/transition factors—and test its effects with a 2007–2021 panel covering five GMS economies (excluding Myanmar). Two-way fixed-effects estimates and mediation models show that stronger IGD significantly upgrades manufacturing Gvcps, operating indirectly through two channels: higher production efficiency and green technological innovation. Heterogeneity analyses indicate more pronounced gains in higher-development economies and in both mid- to high-end and mid-low-end manufacturing segments. Additionally, instrumenting IGD with the share of green energy consumption in a 2SLS framework reveals no evidence of endogeneity or weak instruments, reinforcing a causal interpretation. These results yield policy-relevant guidance for governments and firms seeking to leverage IGD to accelerate industrial upgrading and capture greater value along GVCs in the GMS.</p>\u0000 </div>","PeriodicalId":36164,"journal":{"name":"Asia-Pacific Journal of Regional Science","volume":"10 2","pages":""},"PeriodicalIF":1.7,"publicationDate":"2026-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147560996","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Spatiotemporal evolution of global antimony raw material trade network and China’s shifting position","authors":"Xiaolong Zhou","doi":"10.1007/s41685-026-00423-y","DOIUrl":"10.1007/s41685-026-00423-y","url":null,"abstract":"<div><p>Against the backdrop of the global energy transition and rising geopolitical uncertainties, China’s Ministry of Commerce and General Administration of Customs announced export controls on antimony in August 2024, highlighting the strategic importance of understanding global antimony supply structures. This paper aims to systematically examine the spatiotemporal evolution of the global antimony raw material trade network (GARMTN) and clarify the changing roles and positions of countries and regions, thereby supporting sustainable supply chains and secure governance. Employing social network analysis (SNA), this research examines the phased spatiotemporal evolution of the GARMTN from 2000 to 2023 and analyses its topological characteristics. The findings show that: (1) the product structure of antimony trade is shifting from primary resources towards recycled resources and higher value-added products, with secondary antimony gaining importance in the global supply mix; (2) the trade pattern is evolving from early unipolar concentration to a multicentered system, as emerging economies such as Vietnam, Malaysia, Thailand, India, South Korea, and Türkiye rise, indicating a clear trend towards supply diversification; (3) the GARMTN has expanded in scale and complexity and exhibits small-world characteristics, with connectivity, transmission efficiency, and internal cohesion improving as the network develops; and (4) China’s interdependence with trading partners has deepened, particularly with Southeast Asia. Its network scale continues to expand, autonomy increases, and intermediary bridging role and structural hole capacity strengthen. Although China’s central position remains stable, its absolute dominance has weakened. Finally, policy recommendations are proposed for the sustainable development of China’s antimony industry.</p></div>","PeriodicalId":36164,"journal":{"name":"Asia-Pacific Journal of Regional Science","volume":"10 2","pages":""},"PeriodicalIF":1.7,"publicationDate":"2026-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147559275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of fossil fuel subsidies, natural resource rent and corruption on renewable energy in Middle Eastern and North African countries","authors":"Priyanshu Chavda,&nbsp;Dhyani Mehta","doi":"10.1007/s41685-026-00424-x","DOIUrl":"10.1007/s41685-026-00424-x","url":null,"abstract":"<div><p>This study examined the impact of fossil fuel subsidies, natural resource rent, corruption, and income on renewable energy use in the Middle East and North Africa (MENA) Region. We employed moment quantile regression (MMQR) and panel-corrected standard error (PCSE) using annual data from 2015 to 2021. The findings indicated that fossil fuel subsidies are strongly linked to lower renewable energy use at all levels, suggesting that these subsidies hinder the transition to renewables. Natural resource rent also had a negative impact, supporting the idea that an excessive focus on natural resources can harm other sectors. Interestingly, a higher use of renewables was linked to higher levels of corruption, which indicates that organizations are employing “greenwashing” tactics. The association between a country’s income and its renewable energy use was positive, but not strong enough to be conclusive. This study advances the literature by linking the political economy of the resource curse and rentier state theory to the renewable energy transition, highlighting how institutional distortions, such as corruption and subsidies, hinder reform. In addition to this theoretical linkage, the study contributes methodologically by estimating renewable energy total factor productivity, offering a deeper understanding of how institutional and economic factors shape efficiency within the renewable sector. We emphasize the importance of diversifying energy sources, reforming prices, reducing subsidies, and promoting renewable energy.</p></div>","PeriodicalId":36164,"journal":{"name":"Asia-Pacific Journal of Regional Science","volume":"10 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2026-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147441205","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Coupling and coordination of the digital economy and rural revitalisation in north–west China: a panel analysis from 2009 to 2023","authors":"Jiang Lu,&nbsp;Soo Cheng Chuah,&nbsp;Chai Li Cheam","doi":"10.1007/s41685-026-00420-1","DOIUrl":"10.1007/s41685-026-00420-1","url":null,"abstract":"<div>\u0000 \u0000 <p>North-West China has invested heavily in digital infrastructure and public services in recent years, yet unified metrics and traceable evidence on how the digital economy relates to rural revitalization remain limited. Based on provincial panel data for five north-western provinces from 2009 to 2023, this study developed two comparable composite indices—a Digital Economy Index (DEI) and a Rural Revitalization Index (RRI) covering infrastructure, industrial digitalization, application diffusion, talent, governance and living standards. Entropy weighting combined with a non-compensatory SPOTIS aggregation is adopted as the benchmark scheme, and consistency checks are conducted using TOPSIS and principal component analysis (PCA). A two-way fixed-effects framework was then used to examine the association between DEI and RRI and its temporal characteristics, supplemented by lag specifications and bootstrap inference. The results showed synchronous upward trajectories of both indices, with polarization in the DEI and gradual convergence in the RRI forming a three-tier provincial pattern. Regression estimates indicate a stable and robust positive promoting effect of the DEI on the RRI within the empirical framework, with stronger responses in Shaanxi and Xinjiang and more moderate gains in Qinghai and Ningxia. Alternative index constructions and bootstrap confidence intervals corroborate these findings. These results provide a replicable index-based framework for assessing digital-economy-driven rural development and offer quantitative support for integrating digital policy instruments into rural revitalization strategies in North-West China and similar developing regions in the Asia–Pacific.</p>\u0000 </div>","PeriodicalId":36164,"journal":{"name":"Asia-Pacific Journal of Regional Science","volume":"10 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2026-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147341227","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Spatial kernel density assessment and driving factors detection of carbon and pollution reduction synergies in Yangtze and Yellow River regions: a marginal abatement cost perspective","authors":"Yushu Qin,&nbsp;Hongtao Li","doi":"10.1007/s41685-025-00404-7","DOIUrl":"10.1007/s41685-025-00404-7","url":null,"abstract":"<div>\u0000 \u0000 <p>Accurately assessing the synergistic effects of pollution and carbon reduction in the Yangtze River Economic Belt and Yellow River Basin is vital for advancing green transformation in both regions. This study developed a non-parametric marginal abatement cost model within an energy-environment-economy framework and integrated spatiotemporal kernel density analysis with Geographical Detector methods to examine the evolutionary patterns, spatial disparities and driving mechanisms of synergy. The findings revealed that: (1) Joint reduction strategies consistently outperformed separate reduction efforts in terms of marginal cost savings, with the Yangtze Basin exhibiting more linear and sustained improvements, whereas the Yellow River Basin demonstrated slower but steady progress. (2) Synergistic performance varied spatially, led by upstream Yangtze provinces (Yunnan, Guizhou) and Central Yellow River provinces (Inner Mongolia, Shanxi), reflecting underlying structural and governance differences. (3) Kernel density analysis revealed that the Yangtze Basin shows more consistent convergence toward high synergistic performance (0.9–1.0). In contrast, the Yellow River Basin exhibited fragmented progress and diminishing return. Spatially, synergy diffusion in the Yangtze followed threshold effects, while in the Yellow River occurred through peer-driven leaps. The spatiotemporal trends highlighted cross-regional collaboration in some regions and synchronized catch-up in others. (4) Synergistic effects shifted from single factors to multi-factor interactions, with regulation-innovation linkages emerging as key drivers in both basins. In the Yangtze Bain, FDI(Foreign direct investment) and regulation, played an increasingly important role, while the Yellow River shifted toward infrastructure and policy-technology coordination. These findings provide a more granular understanding of cross regional co-benefits and targeted implications for basin-specific coordination strategies.</p>\u0000 </div>","PeriodicalId":36164,"journal":{"name":"Asia-Pacific Journal of Regional Science","volume":"10 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2026-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147341229","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}