Portrait of Md. Mominul Islam

Md. Mominul Islam

Researcher in Climate & Development Economics

Seeking PhD Opportunities and Research Collaboration

I am an early-career applied economics researcher with interests in climate change, development economics, inequality, early childhood learning and supervision, and women’s life-course outcomes. My research primarily draws on secondary data, particularly nationally representative household surveys and satellite-derived environmental data. I use applied econometric methods, including survey-weighted regression, panel fixed effects, Difference-in-Differences (DiD), and spatial analysis, where supported by the data and research design.

Md. Mominul Islam

Md. Mominul Islam

Economics Researcher

Climate · Development · Inequality

Prospective PhD Researcher

Download CV (PDF)

drmomin01@gmail.com

Department of Economics
Jagannath University
Dhaka 1100, Bangladesh

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About

I am an applied economics researcher affiliated with the Department of Economics, Jagannath University, Bangladesh. My research interests include climate change and household adaptation, development economics, inequality, early childhood learning and supervision, women’s education and marriage, and economic welfare. I combine household surveys, longitudinal data and environmental indicators to study social and economic development. I am preparing for PhD research focused on climate, development and inequality.

I have completed advanced research-methodology training at the University of Dhaka (2026) and have professional experience in applied quantitative research, evidence synthesis and research consultancy. I also serve as a peer reviewer for international journals. I use Stata, SPSS, Python and GIS/geospatial tools. My research methods include survey-weighted regression, panel fixed effects, Difference-in-Differences (DiD), event-time comparisons, spatial-data linkage and robustness testing, where supported by suitable data and credible identifying assumptions.

Data & Research Methods · Publications · Under Review/With Editor


Publications

Socioeconomic determinants of coffee intake: a multi-regional analysis

Md. Mominul Islam & Sabrina Islam · Asia-Pacific Journal of Regional Science, 9, 869–902 (2025)

Publisher: Springer Nature | Scopus & Web of Science indexed | Q1 in Economics; Q2 overall | CiteScore: 4.9 | Impact Factor: 1.9

Article / publisher link

Abstract

Coffee is one of the most widely consumed beverages globally, with its consumption influenced by socio-economic factors, such as income levels, pricing, and regional preferences. This study examined the relationships between income and coffee consumption across different regions to analyze whether coffee behaves as a normal good. Using an unbalanced panel dataset from 53 countries, we incorporated key economic variables including Gross Domestic Product (GDP) per capita, coffee and tea consumption, and the prices of ground coffee and tea. A fixed-effects regression model was employed to assess the impact of income variations on coffee intake. The findings revealed significant regional disparities. For the European and African & Middle Eastern Regions, income showed a positive effect on coffee consumption when grouped with all variables. For the Asia–Pacific (APAC) and American regions, income within the regression showed no statistical significance whatsoever. Therefore, income appears, for half the regions, to be significant in determining coffee consumption, i.e., the more money one has, the more coffee they are able to consume, which reiterates that coffee is a normal good. These results contribute to the existing literature by providing a comparative regional analysis of income-driven coffee consumption. The findings also have practical implications for coffee producers, policymakers, and businesses seeking to understand market demands. Understanding regional coffee trends can support demand forecasting and pricing strategies. However, future studies should also examine consumer behavior and marketing dynamics.


An empirical study of the relationship between corporate social responsibility practices and innovation performance in the Chinese technology industry

Md. Mominul Islam, Imrul Hossain Chowdhury & Sabrina Islam · Future Business Journal, 12, Article 167 (2026)

Publisher: Springer Nature | Web of Science indexed | Q2 | Impact Factor: 3.7

Article / publisher link

Abstract

This study examines how corporate social responsibility (CSR), measured through ESG performance, shapes innovation in China’s technology industry. The study uses a panel data regression model with firm, year, and industry-fixed effects, based on 22,963 firm–year observations from 1530 Chinese A-share high-tech firms during 2009–2023. Data were gathered from Chinese technology companies to examine the relationship between CSR/ESG performance and innovation indicators, including patent output and R&D intensity. The findings show that higher ESG performance is linked with stronger innovation outcomes. Specifically, a one-point increase in ESG score is associated with a significant rise in patent output (β = 0.1062, p < 0.01) and R&D intensity (β = 0.0019, p < 0.01). Results further suggest that CSR is positively associated with innovation performance, and environmental CSR appears to have the strongest effect on patent output among the ESG dimensions. Moreover, larger organizations obtain greater innovation advantages from CSR engagement. Using stakeholder theory, the Resource-Based View (RBV), and dynamic capabilities as theoretical foundations, the paper shows that long-term investments in CSR can support innovation performance. This study contributes to CSR–innovation research by providing longitudinal evidence from China’s technology industry and demonstrating that CSR/ESG engagement supports both innovation output and innovation input.


Governance quality, corruption, and economic growth: global insights from two decades

Md. Mominul Islam · SN Business & Economics, 6, Article 162 (2026)

Publisher: Springer Nature | Scopus indexed | Q3 | CiteScore: 2.5

Article / publisher link

Abstract

This study examines the relationship between governance quality and economic growth using panel data from 190 countries for the period 2005–2024. It provides updated global evidence on how institutional factors are associated with GDP growth while accounting for key macroeconomic conditions. Using a fixed-effects panel regression approach, the study finds that control of corruption and government effectiveness are positively associated with economic growth, although the effect of control of corruption is modest and should be interpreted cautiously. In contrast, regulatory quality and voice and accountability show significant negative short-term effects, likely reflecting transitional adjustment costs associated with reforms. Political stability and rule of law are not statistically robust in the final model, suggesting that their influence may be indirect or realized over longer time horizons. Among the control variables, foreign direct investment is consistently associated with higher growth, while public debt and short-term increases in education and health expenditure are linked to lower growth. The findings suggest that governance quality matters for economic performance, but its effects are conditional on broader institutional and macroeconomic contexts.


An empirical study on the relationship between self-efficacy, employees’ creative performance, and thinking style in the Bangladeshi trade companies

Md. Mominul Islam & Sabrina Islam · Future Business Journal, 11, Article 65 (2025)

Publisher: Springer Nature | Web of Science indexed | Q2 | Impact Factor: 3.7

Article / publisher link

Abstract

Purpose This study examines the relationship between self-efficacy, thinking style, and creative performance in Bangladeshi trade companies. Employee creativity is essential for organizational growth in competitive global markets. While self-efficacy has been researched in Western contexts, limited studies address its role in non-Western economies like Bangladesh. Research significance Prior studies often overlook the relationship between self-efficacy, thinking style, and job stressors, particularly in high-pressure work environments. This study addresses these gaps by examining how self-efficacy and thinking style contribute to creative performance and reassessing the role of job stressors in this dynamic. Methodology The research used a quantitative approach. Surveys were conducted with 300 employees, including 40 managers, managing directors, and chief operating officers from 40 Bangladeshi trade companies. Linear regression analysis tested the hypotheses, and additional analyses validated the relationships between key variables. Findings The results confirm that self-efficacy positively influences both thinking style and creative performance. Thinking style also significantly enhances employees’ creative performance. Contrary to initial expectations, job stressors do not moderate the relationship between self-efficacy and thinking style but emerge as significant independent predictors, highlighting their direct role in influencing cognitive processes. Contributions and novelty This study is among the first to integrate self-efficacy, thinking style, and job stressors in a non-Western trade sector. It offers an integrated framework for understanding how self-efficacy, and thinking style influence performance in trade companies. The study contributes to organizational behavior literature by examining these dynamics in Bangladesh’s trade sector. Implications The findings offer practical insights for managers in emerging economies. Managers should focus on building employee self-efficacy through targeted training. Promoting diverse thinking styles can further enhance creativity. These measures can improve employee creativity and organizational competitiveness.


Industry-Level Disparities in Antitrust Enforcement

Md. Mominul Islam, Imrul Hossain Chowdhury & Sabrina Islam · SEISENSE Journal of Management, 2(5), 47–61 (2019)

Publisher: SEISENSE | DOAJ indexed | Scopus coverage for the journal reported from 2022 (article published in 2019)

Article / publisher link

Study overview

An industry-level study of U.S. antitrust enforcement examining concentration, lobbying, export revenue and other market characteristics through secondary data and multiple regression analysis.


Book Chapter

Sustainable Ecotourism and Eco-Travellers’ Behaviour

Md. Mominul Islam (2021), in Ecotourism and Rural Community Development, UMK Press

Publisher: UMK Press | Indexed in FAO AGRIS | Quartile, CiteScore and Impact Factor: not applicable / not listed

United Nations FAO indexed

Full Book link


Preprint (not peer-reviewed publication)

Remittances and Household Financial Behavior in Rajshahi Division, Bangladesh

Md. Mominul Islam (2026) · Research Square

Preprint record


Under Review/With Editor

Green Finance & Corporate Sustainability

A structured review of the literature on green finance and firm sustainability, using systematic evidence synthesis and research-quality assessment.

Replication Data & Code (DOI)

Safer Water at Source and at Home

A comparative study of drinking-water safety at the source and household point of use, using nationally representative household data.

Replication Data & Code (DOI)

Heat Stress and Local Nighttime Activity

Investigates physiological heat exposure and remotely observed nighttime economic activity through district-level panel analysis.

Replication Data & Code (DOI)

Extreme Rainfall and Local Economic Activity

Studies rainfall extremes, preceding soil wetness and local economic activity using climate and satellite observations.

Replication Data & Code (DOI)

Related rainfall replication materials (DOI)

Caregiving and Child Supervision

Examines how early-learning support is shared among caregivers and how caregiving relates to supervision.

Replication Data & Code (DOI)

Unequal Progress for Bangladeshi Women

Compares women’s education, marriage and reproductive-health trajectories across national survey waves.

Replication Data & Code (DOI)

Education and Child Survival

Explores differences in the education–child mortality relationship across levels of educational attainment and countries.

Cyclone Exposure and Later Learning

Examines whether early-life disaster exposure may be related to later foundational learning.

Replication Data & Code (DOI)

Heat at Testing and Foundational Skills

Explores links between heat conditions and foundational reading and numeracy assessment.

Replication Data & Code (DOI)

Climate Shocks and Costly Coping

Studies household coping strategies during shocks and the role of social protection.

Replication Data & Code (DOI)

Children’s Water and Fuel Work

Explores unpaid collection work by children and disparities in time burdens.

Replication Data & Code (DOI)

Ongoing Research

Climate Risk and Financial Resilience

An investigation of household financial responses to local climate disruptions.

Weather and Food Insecurity

Considers climate stresses and household food-security outcomes.

Replication Data & Code (DOI)

Weather and Rice Productivity

Explores seasonal weather variability and regional rice productivity.

Replication Data & Code (DOI)

Cyclone Recovery and Childbirth Timing

Investigates demographic adjustment around a major cyclone and subsequent recovery.

Replication Data & Code (DOI)

1988 Flood and Women’s Life-Course

An exploratory study of historical flood exposure and long-term outcomes for women.

Digital Connectivity and Home Learning

A developing idea on connectivity and caregiver participation in early learning.