Guangcai Zhang | Econometrics | Best Researcher Award

Mr. Guangcai Zhang | Econometrics | Best Researcher Award

Mr. Guangcai Zhang, Shanghai Academy of Social Sciences, China

 

Guangcai Zhang is an Assistant Researcher at the Institute of Applied Economics, Shanghai Academy of Social Sciences, specializing in agricultural and development economics ๐ŸŒพ, and urban-rural development ๐Ÿ™๏ธ. He earned his PhD in Applied Economics from Shanghai Jiao Tong University ๐ŸŽ“, after completing his Masterโ€™s in Finance at Northwest A&F University. His research includes econometric analysis using microdata, with numerous publications on land rights and rural governance. Guangcai has led several national projects, including on agricultural land rights and rural modernization. He has been honored with multiple awards for his contributions to decision-making consulting and social science research ๐Ÿ†.

 

Publication profile

Scopus

Educational Background

Guangcai Zhang holds a PhD in Applied Economics from Shanghai Jiao Tong University ๐ŸŽ“, where his research focused on econometric analysis using microdata ๐Ÿ“Š. During his doctoral studies, he participated in the Antai-IBM Data Science Training Camp. Prior to this, he earned a Masterโ€™s in Economics, majoring in Finance, from Northwest A&F University, graduating a year early. His coursework included Financial Engineering, Advanced Investment, Econometrics, and Securities Investment ๐Ÿ’น. Guangcai also holds a Bachelor’s degree in Agriculture from Northwest A&F University ๐ŸŒพ, where he was recognized for his outstanding graduation project ๐Ÿ†.

 

Honorary Awards

Guangcai Zhang has received numerous prestigious awards ๐Ÿ† for his contributions to research and academia. In 2023, he earned the Third Prize in the 2022 Research Achievement Award from the Shanghai Party Building Research Association ๐ŸŽ–๏ธ. He also won the Third Prize in the 13th (2022) and Second Prize in the 12th (2020) Shanghai Decision-making Consulting Research Achievement Awards ๐Ÿฅ‰๐Ÿฅˆ. His 2020 paper was recognized as “Excellent Paper” at the 18th Shanghai Social Science Academic Annual Conference ๐Ÿ“„. Additionally, he was honored with the “Outstanding Student Party Member” title at Shanghai Jiao Tong University in 2019 ๐ŸŽ“.

 

Research Focus

Guangcai Zhang’s research primarily focuses on agricultural economics ๐ŸŒพ, property rights, and land governance in rural China ๐Ÿž๏ธ. His work delves into the effects of land titling programs on market participation and property rights, as shown in his publication in the Journal of Chinese Governance ๐Ÿ“š. He also explores behavioral economics, particularly how information sources influence residents’ risk attitudes, highlighted by his co-authored study in Frontiers in Psychology ๐Ÿง . Zhangโ€™s research integrates applied econometrics to address economic and social challenges, with a strong emphasis on rural development and policy impacts in China ๐Ÿ“Š.

 

Publication Top Notes ย 

 

  • Property rights and market participation: evidence from the land titling program in rural China
  • How Does the Change of Information Source Affect Residentsโ€™ Risk Attitudes?

Conclusion

Mr. Zhang’s combination of academic excellence, research accomplishments, and practical impact make him a highly suitable candidate for the Best Researcher Award.

 


Josue Mbonigaba | Econometrics and Finance Award | Best Researcher Award

Prof. Josue Mbonigaba | Econometrics and Finance Award | Best Researcher Award

Prof. Josue Mbonigaba, University of KWaZulu-Natal, South Africa

๐ŸŽ“ Prof. Josue Mbonigaba is an accomplished economist with a Ph.D. in Economics from the University of KwaZulu-Natal. With extensive research focusing on health economics, he’s made significant contributions to understanding HIV/AIDS interventions and public health spending in Sub-Saharan Africa. Currently an Associate Professor at UKZN, he’s served in various academic leadership roles, emphasizing research, teaching, and program management. His work includes exploring socio-economic disparities in chronic illness and transaction costs for delivering health services. With a wealth of experience spanning academia and international organizations like the World Food Programme, his expertise drives impactful policy and academic discourse. ๐ŸŒ

Publication Profile

Google Scholar

Education ๐Ÿ“š

Josue Mbonigaba holds a Ph.D. in Economics from the University of KwaZulu-Natal, focusing on the cost-effectiveness of HIV/AIDS interventions in South Africa. He also earned a Master of Commerce in Economics from the University of Natal, investigating the demand for healthcare among low-income households. His academic journey began with a BCom (Honours) in Economics from the University of Rwanda, where he explored tax and public debt dynamics. His educational background underscores his commitment to understanding and addressing socio-economic challenges, particularly in healthcare and public finance.

Work Experience ๐Ÿ’ผ

Prof. Mbonigaba has contributed significantly to education and research. From his roles as a lecturer and senior administrator to his current position as an Associate Professor and Academic Leader at the University of KwaZulu-Natal, he’s demonstrated leadership in teaching, research, and program management. His tenure includes facilitating research workshops, engaging with professional bodies, and fostering international collaborations, all aimed at advancing knowledge and addressing pressing societal issues.

Research Focus

๐Ÿ” Prof. Josue Mbonigaba’s research primarily focuses on socio-economic inequalities in healthcare access, particularly in South Africa and other African countries. His work encompasses a wide range of topics, including the cost-effectiveness of HIV/AIDS interventions, utilization of maternal and child health services, and the impact of economic factors on healthcare decision-making. Through empirical investigations and policy analyses, he strives to identify barriers to healthcare access and propose solutions to improve equity and efficiency in healthcare delivery. Prof. Mbonigaba’s research contributes valuable insights to the fields of health economics, public policy, and development studies, aiming to address pressing societal challenges. ๐ŸŒ

 

Lixiong Yang | Econometric Models | Best Researcher Award

Prof. Lixiong Yang | Econometric Models | Best Researcher Award

Prof. Lixiong Yang, Lanzhou University, China

๐ŸŽ“ Prof. Lixiong Yang is a distinguished economist specializing in econometric theory and applications, with expertise in panel data models, big data analysis, and financial econometrics. Holding a Ph.D. from Xiโ€™an Jiaotong University, he’s currently a Professor at Lanzhou University, recognized as a Duiying Scholar. His accolades include prestigious awards for doctoral dissertations and supervision. Prof. Yang leads multiple research projects funded by NSFC, focusing on time-varying threshold models and fiscal policy effectiveness. An accomplished author, his recent book “Econometrics: Application based on Stata” is a significant contribution to the field. ๐Ÿ“ˆ๐Ÿ“Š

 

Publication Profile:

Scopus

Orcid

Education and Qualification :

๐ŸŽ“ Dr. Lixiong Yang completed his Ph.D. in Economics at Xiโ€™an Jiaotong University, focusing on nonstationary time series analysis. His dissertation, “A Method of Nonstationary Time Series Analysis Based on ‘the Degree of Cointegration’: the Equal Variance Test and its Applications,” showcased innovative approaches to economic research. Prior to his doctoral studies, he earned a Bachelor’s degree in Financial Mathematics from Xiโ€™an Jiao Tong University. Dr. Yang’s academic journey reflects his passion for quantitative analysis and its applications in economics, paving the way for his distinguished career as a researcher and educator in the field of econometrics. ๐Ÿ“Š๐Ÿ“š

Employment:

๐Ÿซ Dr. Lixiong Yang’s academic career has been deeply rooted in Lanzhou University’s School of Management, where he currently serves as a Professor since December 2022. Recognized for his scholarly contributions, he was selected as a Duiying Scholar in 2020. Prior to his professorship, he held the position of Junior Professor from December 2019 to November 2022 and served as a Lecturer from April 2014 to November 2019. His enduring commitment to education and research has made him an integral part of the university community, shaping the minds of future leaders in management studies. ๐Ÿ“šโœ๏ธ

Awards and Honors:

๐Ÿ† Dr. Lixiong Yang’s dedication to mentorship and academic excellence has garnered numerous accolades. In 2021, he was recognized as an excellent supervisor for both Lanzhou University undergraduate theses and the “Challenge Cup” business start-up plan competition in Gansu province, showcasing his commitment to nurturing young talent. His exceptional research contributions were acknowledged with prestigious awards, including the Excellent Doctoral Dissertation titles from both Shaanxi Province in 2017 and Xi’an Jiaotong University in 2016. Dr. Yang’s scholarly pursuits were further honored with a National Scholarship for Doctoral Students in 2013, reflecting his outstanding achievements in academia. ๐ŸŒŸ๐ŸŽ“

 

Research Focus:

๐Ÿ” Dr. Lixiong Yang’s research focuses on econometric modeling, particularly in the realm of threshold models with covariate-dependent thresholds. He explores innovative methodologies such as panel kink threshold regression and mixed data sampling models, contributing significantly to fields like empirical economics and nonlinear dynamics. His work delves into variable selection in threshold models and examines the behavior of standard tests in the presence of structural breaks. Through a blend of theoretical development and practical applications, Dr. Yang’s research sheds light on complex economic phenomena, offering insights crucial for understanding and forecasting market dynamics. ๐Ÿ“Š๐Ÿ“ˆ

Publication Top Notes:
  1. Variable selection in threshold model with a covariate-dependent threshold (Empirical Economics, 2023)
  2. High dimensional threshold model with a time-varying threshold based on Fourier approximation (Studies in Nonlinear Dynamics & Econometrics, 2022)
  3. Threshold mixed data sampling models with a covariate-dependent threshold (Applied Economics Letters, 2022)
  4. Threshold mixed data sampling (TMIDAS) regression models with an application to GDP forecast errors (Empirical Economics, 2022)
  5. Threshold model with a timeโ€varying threshold based on Fourier approximation (Journal of Time Series Analysis, 2021)
  6. Panel kink threshold regression with a covariate-dependent threshold (Econometrics Journal, 2020)
  7. State-dependent biases and the quality of Chinaโ€™s preliminary GDP announcements (Empirical Economics, 2019)
  8. Debt and growth: Is there a constant tipping point (Journal of International Money and Finance, 2018)
  9. Regression discontinuity designs with state-dependent unknown discontinuity points: Estimation and testing (Studies in Nonlinear Dynamics and Econometrics, 2018)
  10. An Assessment on the quality of China’s Preliminary Data of Quarterly GDP Announcements (Applied Economics, 2017)