Economic ModellingPub Date : 2026-05-01Epub Date: 2026-02-11DOI: 10.1016/j.econmod.2026.107532
Haoyu Shi, Xu Zheng, Yuansheng Wang
{"title":"Volatility regimes and jumps in crude oil futures: Uncovering how market shocks trigger extreme comovements","authors":"Haoyu Shi, Xu Zheng, Yuansheng Wang","doi":"10.1016/j.econmod.2026.107532","DOIUrl":"10.1016/j.econmod.2026.107532","url":null,"abstract":"<div><div>This study investigates how intraday market shocks shape extreme co-movements in crude oil futures, addressing the limited understanding of tail dependence across trading sessions. Existing studies document volatility spillovers across crude oil markets but largely overlook the role of market microstructure and intraday dynamics. Using synchronized 15-minute high-frequency data for INE, Brent, and WTI futures, we examine how price jumps, continuous volatility, and concurrent volatility regimes affect tail dependence. Our results show that daytime tail dependence is mainly driven by regional cojumps while nighttime tail dependence is amplified by continuous volatility under strong global market integration. We further find that concurrent high-volatility states significantly increase downside comovements across markets. These findings highlight how microstructure factors influence extreme risks in different periods and provide guidance for investors designing hedging strategies and for policymakers monitoring market stability under stress.</div></div>","PeriodicalId":48419,"journal":{"name":"Economic Modelling","volume":"158 ","pages":"Article 107532"},"PeriodicalIF":4.7,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146192868","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Economic ModellingPub Date : 2026-05-01Epub Date: 2026-02-05DOI: 10.1016/j.econmod.2026.107528
Mengyu Shi , Qiong Xu , Yu Shi , Jiamin Yan
{"title":"Digital transformation and enterprise mergers and acquisitions: Mechanism tests and empirical evidence","authors":"Mengyu Shi , Qiong Xu , Yu Shi , Jiamin Yan","doi":"10.1016/j.econmod.2026.107528","DOIUrl":"10.1016/j.econmod.2026.107528","url":null,"abstract":"<div><div>Digital transformation acts as a driver for high-quality enterprise development. Focusing on Chinese A-share listed firms, this study uses machine learning methods to empirically investigate the impact of digital transformation on enterprise mergers and acquisitions (M&A). Results indicate that digital transformation can significantly promote enterprise M&A. This conclusion remains valid after overcoming endogeneity and executing various robustness checks. Notably, the influence of digital transformation on M&A varies significantly, with stronger effects observed in non-state-owned enterprises, those in competitive markets, and firms in a better financial environment. Mechanistic analysis reveals that enhanced financing and information channels are key pathways through which digital transformation facilitates M&A. This study offers empirical insights into the microeconomic impacts of digital transformation, emphasizing its role in enterprise M&A strategies.</div></div>","PeriodicalId":48419,"journal":{"name":"Economic Modelling","volume":"158 ","pages":"Article 107528"},"PeriodicalIF":4.7,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146192483","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Economic ModellingPub Date : 2026-05-01Epub Date: 2026-02-03DOI: 10.1016/j.econmod.2026.107527
Hao Wang , Li-Jing Liu
{"title":"Innovation-economic trade-offs:A perspective of low-carbon policy intensity","authors":"Hao Wang , Li-Jing Liu","doi":"10.1016/j.econmod.2026.107527","DOIUrl":"10.1016/j.econmod.2026.107527","url":null,"abstract":"<div><div>Existing literature emphasizes low-carbon policy implementation and benefits but overlooks intensity effects and trade-offs. This study introduces a low-carbon policy intensity index, a composite indicator of stringency and prioritization, to analyze the effects of policy intensity on city-level carbon total factor productivity and identify potential trade-offs. The analysis demonstrates spatial heterogeneity in policy effectiveness, with less-developed, resource-dependent, and small cities exhibiting heightened responsiveness to rigorous measures. Key mechanisms include green technology innovation and efficiency catch-up effects. However, two trade-offs emerge: (1) innovation tends to prioritize quantity over quality; (2) industrial restructuring generates short-term economic transition pressures. Scenario analysis shows that economic structural adjustment—particularly electricity optimization can mitigate these dilemmas by sustaining growth while curbing emissions. These findings demonstrate that shifting from nominal policy adoption to structural reforms and optimized intensity is key to balancing economic and environmental goals.</div></div>","PeriodicalId":48419,"journal":{"name":"Economic Modelling","volume":"158 ","pages":"Article 107527"},"PeriodicalIF":4.7,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146192867","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Economic ModellingPub Date : 2026-05-01Epub Date: 2026-02-11DOI: 10.1016/j.econmod.2026.107533
Ricardo Quineche , Juan Zapata
{"title":"The two sides of inflation: How price increases and price cuts shape inflation","authors":"Ricardo Quineche , Juan Zapata","doi":"10.1016/j.econmod.2026.107533","DOIUrl":"10.1016/j.econmod.2026.107533","url":null,"abstract":"<div><div>Inflation reflects the balance between firms raising and cutting prices, yet analyses focus only on aggregate rates, obscuring how pricing pressures transmit shocks. Existing decompositions use factor models or sign restrictions but lack transparent linkage to observed sectoral pricing decisions. Using 245 U.S. Personal Consumption Expenditures sub-indices spanning 1959–2024, we decompose inflation into upward and downward pricing pressures. We document fundamental asymmetry: inflationary pressure exhibits dramatic variation (2.35% to 12.68%) while deflationary pressure remains remarkably stable (0.72% to 5.18%). Informationally robust contractionary monetary policy operates through dual channels — restraining price increases and encouraging price cuts — with deflationary pressure peaking at 0.5 percentage points and remaining elevated for one year, resolving the price puzzle. Supply shocks operate primarily through price increases. These distinct mechanisms challenge symmetric views of inflation dynamics across shock types. The framework provides central banks real-time diagnostic tools for evaluating transmission and identifying inflation sources.</div></div>","PeriodicalId":48419,"journal":{"name":"Economic Modelling","volume":"158 ","pages":"Article 107533"},"PeriodicalIF":4.7,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146192869","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Economic ModellingPub Date : 2026-05-01Epub Date: 2026-02-04DOI: 10.1016/j.econmod.2026.107518
Chenzhe Zhai , Debao Hu , Junting Dong , Ming Jin
{"title":"Does the digital economy amplify household income uncertainty? Evidence from China","authors":"Chenzhe Zhai , Debao Hu , Junting Dong , Ming Jin","doi":"10.1016/j.econmod.2026.107518","DOIUrl":"10.1016/j.econmod.2026.107518","url":null,"abstract":"<div><div>This study examines the impact of the digital economy on household income uncertainty, addressing a gap in the literature on its broader implications. Using data from the China Family Panel Studies (2018–2022), we explore whether and how the digital economy affects household income volatility. Our analysis reveals that the digital economy amplifies income uncertainty, with financial market participation, entrepreneurship, and employment status playing key roles in this process. Heterogeneities exist across different income levels, regions, urban and rural areas and education levels. These findings offer new insights into the broader effects of digitalization and highlight the need for targeted policies to mitigate its negative impacts, enabling households to better adapt to the challenges posed by the digital economy.</div></div>","PeriodicalId":48419,"journal":{"name":"Economic Modelling","volume":"158 ","pages":"Article 107518"},"PeriodicalIF":4.7,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146192871","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Economic ModellingPub Date : 2026-05-01Epub Date: 2026-02-06DOI: 10.1016/j.econmod.2026.107526
Jian Du , Xingye Jin , Jing Li , Xinyi Shen
{"title":"From conflict to creativity: US-China trade war and Chinese corporate innovation","authors":"Jian Du , Xingye Jin , Jing Li , Xinyi Shen","doi":"10.1016/j.econmod.2026.107526","DOIUrl":"10.1016/j.econmod.2026.107526","url":null,"abstract":"<div><div>Enterprises worldwide are facing the shock of anti-globalization, but there is little literature exploring the impact of the trade war on corporate innovation. In this paper, we first build a theoretical model to analyze the impact of the trade war on innovation. Then, we use detailed patent data of Chinese listed companies between 2015 and 2021, and find that the trade war does not affect corporate R&D expenditure, but significantly increases their patent output and patent quality. These results still hold after a battery of endogeneity tests. Next, we reveal that the Chinese government plays an important role in promoting corporate innovation during the trade war. Moreover, the trade war does not lead firms to shift their innovation pathways but increases high-end patents and collaborative innovation. Finally, heterogeneity analyses show that the trade war leads to more patents and patent citations for firms with higher economic policy uncertainty perception, less severe management myopia, and more intermediate goods import, but it has no impact on the R&D expenditures of any type of firms.</div></div>","PeriodicalId":48419,"journal":{"name":"Economic Modelling","volume":"158 ","pages":"Article 107526"},"PeriodicalIF":4.7,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146192866","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Economic ModellingPub Date : 2026-05-01Epub Date: 2026-02-04DOI: 10.1016/j.econmod.2026.107524
Mudan Lan , Yuhong Huang
{"title":"Can industrial technology convergence facilitate firms' international expansion? Firm-level empirical evidence from China","authors":"Mudan Lan , Yuhong Huang","doi":"10.1016/j.econmod.2026.107524","DOIUrl":"10.1016/j.econmod.2026.107524","url":null,"abstract":"<div><div>Amid rising global economic uncertainty, firms' international expansion faces mounting challenges, while the convergence of digital and real industries offers fresh strategic opportunities for high-level openness. Using data from Chinese listed firms, this study examines how such convergence shapes outward foreign direct investment (OFDI). Empirical results show that convergence significantly boosts both the probability and scale of OFDI, with this effect being greater in regions with strict intellectual property protection, high-technology industries, and export-oriented enterprises. Mechanism tests indicate that improvements in total factor productivity and easing of financing constraints are key drivers. Further evidence suggests convergence stimulates cross-border mergers and acquisitions and enhances overseas revenues. This research enriches understanding of the nexus between technology convergence and internationalization, offering policy insights for emerging economies to leverage the digital economy to strengthen global competitiveness. More broadly, the integration of digital and real industries will remain a vital catalyst for firms’ international growth.</div></div>","PeriodicalId":48419,"journal":{"name":"Economic Modelling","volume":"158 ","pages":"Article 107524"},"PeriodicalIF":4.7,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146135739","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Economic ModellingPub Date : 2026-05-01Epub Date: 2026-02-05DOI: 10.1016/j.econmod.2026.107529
Jing Li , Yibing Ding , Yingjie Fu
{"title":"Accumulating cross-border M&A experience and its impact on enterprise innovation: Evidence from China","authors":"Jing Li , Yibing Ding , Yingjie Fu","doi":"10.1016/j.econmod.2026.107529","DOIUrl":"10.1016/j.econmod.2026.107529","url":null,"abstract":"<div><div>Accumulating cross-border mergers and acquisitions (M&A) experience reflects a dynamic learning process for firms, yet its impact on innovation remains uncertain. Using data on Chinese firms involved in cross-border M&A from 2009 to 2020, this study investigates how accumulated M&A experience influences corporate innovation. The findings show that M&A experience significantly enhances innovation performance. Mechanism analyses suggest that accumulated experience promotes innovation by easing growth pressure and strengthening resource competitiveness, while R&D manipulation weakens this positive effect. Heterogeneity analyses reveal that the impact is stronger for state-owned enterprises, firms with low R&D capacity, and those undertaking M&A within the same industry. Both technology-oriented and non-technology-oriented M&A experience are found to contribute to innovation. Overall, this study enriches the literature by offering new evidence on how accumulated cross-border M&A experience fosters innovation and provides insights for firms seeking to enhance innovation through international expansion.</div></div>","PeriodicalId":48419,"journal":{"name":"Economic Modelling","volume":"158 ","pages":"Article 107529"},"PeriodicalIF":4.7,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146192864","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Economic ModellingPub Date : 2026-05-01Epub Date: 2026-01-29DOI: 10.1016/j.econmod.2026.107484
Alessio Terzi , Marco Pasquale Marrazzo
{"title":"Big reforms, big returns? Evidence from structural reform shocks","authors":"Alessio Terzi , Marco Pasquale Marrazzo","doi":"10.1016/j.econmod.2026.107484","DOIUrl":"10.1016/j.econmod.2026.107484","url":null,"abstract":"<div><div>Following a series of disappointing outcomes in Latin America and Sub-Saharan Africa, traditional structural reform shocks, of the type advocated under the ‘Washington Consensus’, came to be widely viewed as unsuccessful. This paper revisits that conclusion by applying a novel generalised use of the non-parametric Synthetic Control Method with multiple treated units to estimate the impact of 23 policy reform shocks (spanning both real and financial sector measures) implemented globally between 1961 and 2000. Our results suggest that, notwithstanding a muted short-term impact, wide-reaching reforms on average raised GDP per capita by around 6 percentage points over a decade. These findings are robust across alternative specifications, placebo and falsification tests, and different reform indicators. While outcomes were heterogeneous, the results indicate that broad liberalising reforms have more often than not delivered medium-term growth improvements, underscoring the importance of understanding the conditions under which they succeed.</div></div>","PeriodicalId":48419,"journal":{"name":"Economic Modelling","volume":"158 ","pages":"Article 107484"},"PeriodicalIF":4.7,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146192865","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Economic ModellingPub Date : 2026-05-01Epub Date: 2026-02-10DOI: 10.1016/j.econmod.2026.107523
Facundo Luna Mallea
{"title":"Climate policy uncertainty and macroeconomic dynamics: Financial amplification and state-dependent effects","authors":"Facundo Luna Mallea","doi":"10.1016/j.econmod.2026.107523","DOIUrl":"10.1016/j.econmod.2026.107523","url":null,"abstract":"<div><div>Climate policy uncertainty (CPU) poses growing risks to macroeconomic stability, yet its transmission mechanisms remain understood. While the literature has examined general uncertainty, the state-dependent effects of transition risk through the financial system are underexplored. Using U.S. local projections and a two-sector New Keynesian model, this paper examines how CPU shocks propagate across the business cycle. I find that CPU shocks significantly contract investment and credit during economic expansions, whereas their effects are statistically muted during recessions. These dynamics are driven by a brown collateral channel, where uncertainty about the future value of carbon-intensive assets triggers a financial accelerator mechanism. The findings highlight that transition risk operates as a systemic financial shock, suggesting that macro-prudential frameworks must account for the volatility of brown asset valuations.</div></div>","PeriodicalId":48419,"journal":{"name":"Economic Modelling","volume":"158 ","pages":"Article 107523"},"PeriodicalIF":4.7,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146192870","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}