1879 papers
This study analyzes monthly trade data from 2011 to 2024 to reveal a significant asymmetry in India-Myanmar trade relations, where Myanmar exhibits high and volatile dependence on India marked by two structural breaks, while India's trade remains stable and largely unaffected by Myanmar, highlighting Myanmar's economic vulnerability and the urgent need for trade diversification.
Drawing on dynamic capabilities theory and survey data from 333 Chinese manufacturing firms, this study reveals that AI-powered capabilities significantly enhance green new product development through dual mediating roles of green exploratory and exploitative processes, with the exploratory pathway demonstrating a significantly stronger mediating effect than the exploitative one.
This study demonstrates that while total population growth negatively impacts economic performance in ECOWAS countries, the ongoing demographic transition—characterized by a growing working-age population and supported by agricultural and industrial sectors—significantly contributes to economic growth, confirming that these nations are currently in the second phase of demographic transition.
This paper analyzes Ethereum's triangular pricing consistency across USD, BTC, and stablecoin numeraires from 2022 to 2023, finding that while price deviations generally remain near zero and non-arbitrageable even during market stress, they represent frictional parity deviations rather than executable profit opportunities.
Using an expanded Miyazawa input-output framework on Vietnam's 2012 and 2019 data, this study reveals that the manufacturing sector's economic weakness stems from value-added leakage and rising import intensity, particularly in IT equipment, necessitating policy shifts toward strengthening domestic linkages and enforcing stricter technology transfer and local content requirements for foreign investment.
This paper presents a survival-risk framework demonstrating that for digital asset treasury companies, forced-sale risk is driven less by crypto price thresholds and more by the interaction of cash runways, fixed preferred-equity obligations, and market access constraints under mNAV compression.
This study utilizes the Technology Acceptance Model to demonstrate that undergraduate students' willingness to pay for Generative AI tools in higher education is driven by perceived ease of use and usefulness, which foster behavioral intentions that ultimately translate into financial commitment.
Using data from the 2020 Somali Health and Demographic Survey, this multilevel analysis reveals that only 30.7% of households in Somalia had electricity access in 2020, with significant disparities driven by household wealth, residence location, education, and regional infrastructure.
This study utilizes a TOE-RBV framework and interviews across diverse Ghanaian sectors to demonstrate that developing data-driven decision-making capability requires transforming data resources into VRIN bundles through governance and culture, rather than simply adopting tools, to overcome quality barriers and achieve decision intelligence maturity.
This paper analyzes the 2018–2026 digital asset market to demonstrate that stablecoins do not function as universal safe havens, as their crisis protection capabilities are highly contingent on the specific type of crisis and the coin's collateral design rather than average peg fidelity.