About JAEPSJournal of Applied Economics and Policy Studies (JAEPS) is an open-access, peer-reviewed academic journal hosted by Peking University Research Centre for Market Economy (RCME) and published by EWA Publishing. JAEPS is published irregularly. JAEPS present latest theoretical and methodological discussions to bear on the scholarly works covering economic theories, econometric analyses, as well as multifaceted issues arising out of emerging concerns from different industries and debates surrounding latest policies. Situated at the forefront of the interdisciplinary fields of applied economics and policy studies, this journal seeks to bring together the scholarly insights centering on economic development, infrastructure development, macroeconomic policy, governance of welfare policy, policies and governance of emerging markets, and relevant subfields that trace to the discipline of applied economics, public policy, policy studies, and combined fields of the aforementioned. JAEPS is dedicated to the gathering of intellectual views by scholars and policymakers. The articles included are relevant for scholars, policymakers, and students of economics, policy studies, and otherwise interdisciplinary programs.For more details of the JAEPS scope, please refer to the Aim&Scope page. For more information about the journal, please refer to the FAQ page or contact info@ewapublishing.org. |
Aims & scope of JAEPS are: ·Economics ·Finance ·Management |
Article processing charge
A one-time Article Processing Charge (APC) of 450 USD (US Dollars) applies to papers accepted after peer review. excluding taxes.
Open access policy
This is an open access journal which means that all content is freely available without charge to the user or his/her institution. (CC BY 4.0 license).
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These licenses afford authors copyright while enabling the public to reuse and adapt the content.
Peer-review process
Our blind and multi-reviewer process ensures that all articles are rigorously evaluated based on their intellectual merit and contribution to the field.
Editors View full editorial board
Bratislava, Slovakia

Beijing, China
qin.econpku@gmail.com

London, United Kingdom
Canh.Dang@kcl.ac.uk

Murcia, Spain
faura@um.es
Latest articles View all articles
As one of the key sectors for the future, the chip industry is of vital importance to China's rise as a technological powerhouse. This study reveals three major challenges faced by talent in the chip industry: insufficient supply and reserves, room for improvement in per capita output efficiency, and the need to integrate talent cultivation. To more effectively leverage emerging productive forces and promote the rise of talent in the chip industry, we should facilitate educational transformation and the integration of science education, thereby achieving a qualitative leap in the national strategy for talent development in the new era.
Urban agglomerations play a pivotal role in China's carbon peaking and carbon neutrality goals, yet few studies have provided a unified, long-term assessment of their carbon emission performance. This paper addresses this gap by analyzing panel data (2006–2022) from 16 national-level urban agglomerations. Utilizing a Non-Radial Directional Distance Function (NDDF) to calculate the Carbon Reduction Efficiency Index (CREI) and a Global Malmquist-Luenberger (GML) index to measure Total Factor Carbon Emission Productivity (TFCEP), we reveal considerable disparities across regions. Eastern "optimization-enhancing" agglomerations (e.g., Pearl River Delta, Yangtze River Delta) demonstrate consistently high efficiency, sustained by stable technological advances. In contrast, central and western "growth-enhancing" and "development-nurturing" agglomerations (e.g., the Ningxia region along the Yellow River, Central Shanxi) exhibit lower performance but significant potential for improvement. Dynamic analysis indicates an overall upward trend, largely driven by technology gains in advanced regions and efficiency catch-up in less developed ones, despite challenges such as technological lock-in. Dagum's Gini coefficient shows narrowing gaps under coordinated the carbon peaking and the carbon neutrality goals policies, although institutional barriers still restrict cross-regional technology diffusion. These findings underscore the need for region-specific low-carbon strategies that integrate industrial upgrading and innovation support, thereby promoting balanced and sustainable urban development trajectories.
Social media's rise has intensified investor sentiment in financial markets, driving heightened stock price volatility and crash risk. In this context, exploring how internal control quality mediates sentiment and crash risk is vital for developing governance tools to stabilize markets in the digital age. This study investigates the relationship between investor sentiment, internal control quality, and stock price crash risk using a sample of Chinese A-share listed companies from 2007 to 2022. Leveraging financial data and a robust empirical framework, the study finds that higher investor sentiment significantly exacerbates stock price crash risk, particularly in firms with internal control deficiencies and state-owned enterprises (SOEs). Mediation analysis reveals that investor sentiment deteriorates internal control quality, amplifying crash risk and underscoring the critical role of governance mechanisms in mitigating market instability.
Against the backdrop of rapid advancements in modern information technology, digital transformation has emerged as a global trend. This process has experienced unprecedented acceleration, particularly under the impact of the COVID-19 pandemic. Such transformation extends beyond technological innovation, encompassing critical aspects of corporate future competitiveness as well as organizational survival and growth within intensely competitive markets. As the global economy gradually recovers from the pandemic, sustaining digital transformation poses a significant challenge for enterprises. Governments worldwide have clearly recognized this imperative and have formulated corresponding strategic plans. Since 2015, China has implemented the "National Big Data Strategy," aiming to leverage big data to drive comprehensive economic growth and empower various industries. The "14th Five-Year Plan and Long-Range Objectives Through 2035," proposed in 2020, further emphasized the importance of accelerating the integration of the digital economy with traditional industries and building internationally competitive digital industrial clusters. Notably, the 2022 Government Work Report mentioned the "digital economy" for the sixth consecutive year, and for the first time, dedicated an entire paragraph to this topic, underscoring the government's heightened focus on its significance. Evidently, with continuous policy support and active participation from all sectors of society, digital transformation is poised to become a crucial driver for enterprises to navigate the future. This study selects Changan Automobile as a case study to analyze the motivations, pathways, and financial performance impacts of digital transformation in the automotive industry. The findings aim to provide insights and references for other enterprises within the sector.
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2025
Volume 18April 2025
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Volume 14December 2024
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Journal of Applied Economics and Policy Studies
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