Pahlaj Moolio | Economics, Econometrics and Finance | Innovative Research Award

Innovative Research Award

Pahlaj Moolio
Paragon International University,

Researcher Information
Affiliation Paragon International University
Country Cambodia
Scopus ID 57218765386
Documents 5
Citations 33
h-index 2
Subject Area Economics, Econometrics and Finance
Event Global Innovation Technologist Awards
ORCID 0009-0004-2189-9446

Pahlaj Moolio is a researcher in economics, econometrics and finance whose published work addresses economic growth, foreign direct investment, mathematical economics, optimization and social welfare. The available research record includes studies focused on Cambodia and wider regional economic questions, alongside analytical contributions using quantitative and mathematical approaches. [1]

Abstract

The Innovative Research Award profile recognizes Pahlaj Moolio’s documented contributions to economics and related quantitative fields. His publication record covers foreign aid and economic growth, agency output maximization, social choice, foreign direct investment, and optimization. These works demonstrate an interdisciplinary connection between economic theory, mathematical methods and applied development questions. [2]

Keywords

  • Economics
  • Econometrics
  • Economic Growth
  • Foreign Direct Investment

Introduction

Moolio’s research spans both theoretical and applied economic analysis. His work on foreign aid examines long-run relationships between aid and economic growth in Cambodia, Lao PDR, Myanmar and Vietnam using panel cointegration, FMOLS and DOLS methods. [3] Earlier studies address constrained optimization and the mathematical treatment of economic decision-making.

Research Profile

The profile combines regional development research with analytical economics. Bibliographic records identify five Scopus documents, 33 citations and an h-index of 2. These indicators provide a quantitative snapshot of indexed research activity and should be interpreted alongside publication quality, subject relevance and scholarly context.

Research Contributions

A notable contribution concerns the relationship between foreign aid and economic growth across four Southeast Asian economies. The study reports evidence of long-run cointegration and evaluates the relationship using established panel estimators. [3] Other work applies Lagrange multipliers and constrained optimization to examine output allocation under budget limitations. [2]

Publications

  • “Foreign Aid and Economic Growth: Panel Cointegration Analysis for Cambodia, Lao PDR, Myanmar, and Vietnam,” 2016.
  • “Output Maximization of an Agency,” 2009, Indus Journal of Management & Social Sciences, 3(1), 39–51. [2]
  • “Preference of Social Choice in Mathematical Economics,” 2009.
  • “The Relationship between Gross Domestic Product and Foreign Direct Investment: The Case of Cambodia,” 2013.
  • “Optimization and Social Welfare in Economics,” 2013.

Research Impact

The supplied bibliographic record indicates that the research has received citations across economics-related literature. The publication on foreign aid and growth contributes specifically to the empirical development-economics literature concerning the CLMV countries, while the optimization studies provide a theoretical foundation for economic decision analysis. Citation counts can change as indexing databases are updated.

Award Suitability

The profile is relevant to an Innovative Research Award because it demonstrates sustained engagement with economic questions through both empirical and analytical methods. The combination of regional development research, mathematical economics and quantitative analysis provides a coherent basis for consideration within an academic recognition framework. Final award decisions should remain subject to the event’s independent eligibility and review criteria.

Conclusion

Pahlaj Moolio’s research record reflects contributions across applied and theoretical economics, with particular relevance to economic growth, development, optimization and Cambodia-focused economic analysis. The documented publications and indexed research indicators provide a structured scholarly basis for recognition under the Innovative Research Award category.

References

  1. Elsevier. (n.d.). Scopus author details: Pahlaj Moolio, Author ID 57218765386. Scopus.
    https://www.scopus.com/pages/authors/57218765386
  2. Moolio, P., Islam, J. N., & Mohajan, H. K. (2009). Output Maximization of an Agency. Indus Journal of Management & Social Sciences, 3(1), 39–51.
    https://ideas.repec.org/a/iih/journl/v3y2009i1p39-51.html
  3. Moolio, P., & Kong, S. (2016). Foreign Aid and Economic Growth: Panel Cointegration Analysis for Cambodia, Lao PDR, Myanmar, and Vietnam. Athens Journal of Business & Economics, 2(4), 417–428.
    https://doi.org/10.30958/ajbe.2.4.6
  4. Google Scholar. (n.d.). Pahlaj Moolio publication record.
    https://scholar.google.com/citations?hl=en&user=DZKs2uQAAAAJ&view_op=list_works&sortby=title
  5. ORCID. (n.d.). Pahlaj Moolio ORCID record.
    https://orcid.org/0009-0004-2189-9446

Junaid Khan | Economics, Econometrics and Finance | Excellence in Research Award

Excellence in Research Award

Junaid Khan
Hunan University, China
Junaid Khan
Affiliation Hunan University
Country China
Scopus ID 57215590769
Documents 3
Citations 26
h-index 2
Subject Area Economics, Econometrics and Finance
Event Global Innovation Technologist Awards
ORCID 0009-0002-3646-132X

Junaid Khan is a doctoral researcher in Applied Economics at Hunan University, China, with academic specialization in financial economics, political economy, banking systems, and firm performance analysis. His academic and professional trajectory combines higher education in economics and finance with practical banking experience in retail banking and microfinance operations. His research profile demonstrates interdisciplinary engagement in economics, political stability analysis, sustainable finance, and machine learning applications in business research.[1]

Abstract

This article presents an academic overview of Junaid Khan, a PhD scholar in Applied Economics at Hunan University. His scholarly interests encompass financial economics, political economy, corruption studies, green economic development, and firm performance assessment. The profile reflects a combination of academic training, banking sector experience, and emerging research contributions in economics and finance. His published and ongoing studies emphasize the interaction between political stability, banking performance, and economic growth, while also integrating machine learning approaches into firm-level analysis.[2]

Keywords

Applied Economics; Financial Economics; Political Economy; Firm Performance; Banking Sector; Machine Learning; Green GDP; Economic Growth; Finance Research; Innovation Studies.

Introduction

Junaid Khan has developed an academic profile grounded in economics, banking, and financial management. His educational background includes undergraduate and graduate studies in banking, finance, and business administration, followed by doctoral research in Applied Economics at Hunan University. His academic progression demonstrates sustained engagement with economic policy analysis, financial systems, and interdisciplinary business research.[3]

In addition to academic training, Khan has accumulated professional experience within banking and financial institutions, including positions at The Bank of Khyber and The First Microfinance Bank. These professional experiences contributed practical exposure to retail banking, financial advisory services, risk assessment, mortgage processing, and compliance management. Such experiences support the applied orientation of his research interests in economics and finance.[4]

Research Profile

The research profile of Junaid Khan focuses on contemporary economic and financial issues, including banking sector performance, political stability, firm efficiency, and sustainable economic development. His work explores the relationships between institutional environments and macroeconomic performance, particularly within emerging and developing economies.[5]

His doctoral research integrates quantitative analytical approaches, including statistical analysis and machine learning methodologies, to investigate firm performance and political instability. The integration of computational techniques into economics research reflects current interdisciplinary trends in econometrics and data-driven policy analysis.[6]

  • Financial economics and economic growth studies
  • Political economy and corruption analysis
  • Machine learning applications in business research
  • Banking sector performance and institutional assessment
  • Green GDP and sustainable economic development

Research Contributions

Khan’s scholarly contributions include studies examining the impact of banking sector performance and political stability on economic growth. His research considers the role of institutional effectiveness and financial systems in promoting sustainable economic development and investment stability. Such work contributes to ongoing discussions within development economics and financial policy research.[7]

Another significant area of contribution is the application of machine learning techniques to assess political instability and firm performance relationships. This interdisciplinary direction demonstrates the use of computational tools in economic modeling and predictive business analysis. The research also reflects broader innovation trends within modern economics and management studies.[8]

In addition to research activities, Khan has participated in academic and professional training programs related to Islamic banking operations, organizational behavior, sustainability practices, and circular economy frameworks. These engagements support his broader understanding of global financial systems and sustainable development practices.[9]

Publications

  • Impact of Banking Sector Performance and Political Stability on Economic Growth.
  • Machine Learning-Based Systemic Assessment of Political Instability Effects on Firm Performance.
  • Additional research contributions indexed through the Scopus author profile indicate engagement with applied economics and finance-oriented studies.[10]

Research Impact

According to Scopus author metrics, Junaid Khan has accumulated citations across indexed academic publications with an h-index reflecting early-stage research impact within economics and finance disciplines. His publications have contributed to discussions surrounding political stability, financial systems, and firm-level economic assessment.[11]

The combination of economics research and machine learning methodologies positions his work within emerging analytical trends that increasingly influence policy evaluation and business intelligence studies. His research background also reflects international academic mobility through scholarship-supported doctoral education in China.[12]

  • Scopus-indexed research activity
  • Cross-disciplinary economics and machine learning integration
  • International academic collaboration potential
  • Research focus on policy-relevant economic issues

Award Suitability

The academic profile of Junaid Khan aligns with the objectives of the Global Innovation Technologist Awards through his interdisciplinary engagement with economics, finance, and analytical technologies. His work incorporates data analysis, machine learning applications, and policy-oriented economic research relevant to modern innovation ecosystems.[13]

His educational achievements, including the Chinese Government Scholarship and doctoral research at Hunan University, further demonstrate academic commitment and international scholarly engagement. Additionally, his professional banking experience complements his academic investigations by providing applied perspectives on financial systems and institutional management.[14]

  1. Interdisciplinary research combining economics and computational analysis
  2. Research relevance to policy and institutional economics
  3. Professional expertise in banking and finance operations
  4. International academic exposure and scholarship recognition

Conclusion

Junaid Khan represents an emerging researcher in the fields of applied economics and finance with growing scholarly contributions related to banking systems, political economy, and machine learning-based firm analysis. His academic preparation, professional financial sector experience, and interdisciplinary research orientation contribute to a developing international research profile. The integration of quantitative methods, policy analysis, and financial research supports his suitability for recognition within innovation and research-oriented academic award frameworks.[15]

References

  1. Elsevier. (n.d.). Scopus author details: Junaid Khan, Author ID 57215590769. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57215590769
  2. Hunan University. (n.d.). Doctoral studies in Applied Economics and International Economics.
  3. Institute of Business Studies and Leadership. (n.d.). Business Administration and Finance academic programs.
  4. The Bank of Khyber. (n.d.). Retail banking and customer financial services operations.
  5. Khan, J. (n.d.). Research interests in political economy, finance, and economic growth.
  6. Wooldridge, J. M. (2020). Econometric Analysis of Cross Section and Panel Data. MIT Press.
  7. Research paper. Impact of Banking Sector Performance and Political Stability on Economic Growth.
  8. Research paper. Machine Learning-Based Systemic Assessment of Political Instability Effects on Firm Performance.
  9. Certification programs in Islamic Banking, Circular Economy, and Organizational Leadership.
  10. Elsevier. (n.d.). Publication and citation metrics indexed in Scopus.
  11. Scopus Preview. (n.d.). Author metrics and h-index overview.
  12. Chinese Government Scholarship Program. (n.d.). International academic scholarship support initiatives.
  13. Global Innovation Technologist Awards. (n.d.). Award evaluation criteria and innovation research recognition.
  14. The First Microfinance Bank. (n.d.). Loan operations and banking services.
  15. DOI Foundation. (n.d.). Digital Object Identifier System