Musavir Anwar | Environmental Economics | Best Researcher Award

Published on by New Scientists

Mr. Musavir Anwar | Environmental Economics | Best Researcher Award

Lecturer, Sindh Agriculture University, Pakistan.

Mr. Musavir Anwar is an emerging scholar in Agricultural Economics and Environmental Economics, with a particular focus on sustainable development, low-carbon pathways, and the adoption of agricultural technologies. His research explores the intersection of economic development, environmental sustainability, and policy-driven incentives, emphasizing the role of electricity, agriculture, and financial systems in shaping environmental outcomes. A significant aspect of his work involves analyzing consumer behavior and adoption patterns in agricultural and environmental contexts. He has examined the diffusion of production and protection technologies in crops such as sugarcane, providing empirical insights into the factors influencing technology uptake in Sindh, Pakistan. His studies also address behavioral incentives for reducing environmental degradation, exemplified by his investigation into consumer responses to policies aimed at minimizing plastic bag usage. Methodologically, Mr. Musavir Anwar employs a diverse set of quantitative and statistical tools, including econometric modeling, survey-based data analysis, and environmental impact assessment. His proficiency with software such as SPSS, STATA, R-Studio, Python, and Eviews supports rigorous data-driven research, while his familiarity with multimedia and graphical design enhances the visualization and dissemination of complex findings. Mr. Musavir Anwar’s research contributions include publications in high-impact journals, notably the Journal of Environmental Management (SCI-Q1), where he analyzed Kazakhstan’s transition to a low-carbon future, highlighting the roles of energy, agriculture, and financial development on emissions. He has also contributed to international conferences on sustainable development and agricultural sciences, presenting empirical studies on crop management and environmental economics. Through his work, Mr. Musavir Anwar demonstrates a commitment to advancing knowledge on sustainable agricultural practices, environmental policy, and economic mechanisms that promote low-carbon and resource-efficient development. His scholarly impact is reflected in his publications, conference presentations, and research collaborations, establishing him as a promising contributor to the fields of agricultural and environmental economics.

Profile: Scopus | ORCID | Google Scholar | ResearchGate | Sci Profiles

Featured Publications

  • Anwar, M., Jamali, R., Hyder, H., & Wang, J. (2025). Kazakhstan’s path to a low-carbon future: Investigating the impact of electricity, agriculture, and financial development on emissions. Journal of Environmental Management, 394, 127627.

  • Unar, A. U., Rustamani, M. A., Pahore, W. A., Chachar, I. B., & Amber, A. (2018, July 5). Effects of different salinity levels on wheat varieties at seedling stage. In Proceedings of the 1st International Conference on Global Sustainable Development: Challenges and Solutions (ICGSDCS–2018).

  • Jogi, N., Shar, I., Chachar, I. B., Rustamani, M. A., & Gadani, S. A. (2018, July 5). Study of diffusion and adoption of production and protection technologies of sugarcane crop in Taluka Ubauro, District Ghotki of Sindh Province. In Proceedings of the 1st International Conference on Global Sustainable Development: Challenges and Solutions (ICGSDCS–2018).

 

Jun Liu | Climate Change | Best Researcher Award

Published on by New Scientists

Mrs. Jun Liu | Climate Change | Best Researcher Award

Director, Taiyuan University of Technology, China

Mrs. Jun Liu is an Associate Professor at the College of Geological and Surveying Engineering, Taiyuan University of Technology, specializing in remote sensing applications with a strong focus on climate change, carbon estimation, and drought monitoring. She earned her Ph.D. in Remote Sensing of Environment from Nanjing University, China (2012), following a Master’s degree in Remote Sensing of Geological Disaster (2006) and a Bachelor’s degree in Surveying Engineering (2003), both from Taiyuan University of Technology. Her professional experience includes serving as a lecturer at Shanxi Engineering Vocational College (2006–2013), an associate professor since 2013 and a visiting fellow at the Australian National University (2017–2018). Mrs. Jun Liu’s research interests revolve around applying advanced satellite and geospatial technologies to monitor environmental changes and develop sustainable solutions. Her research skills include geospatial data analysis, environmental monitoring, carbon accounting and interdisciplinary project collaboration. She has published extensively in leading international journals and conferences, with 124 documents, 3,189 citations and an h-index of 31, reflecting her academic influence. Recognized for her scholarly contributions, she has earned respect as a dedicated educator and researcher. In conclusion, Mrs. Jun Liu’s impactful research, global collaborations and commitment to addressing climate challenges position her as a deserving candidate for prestigious academic recognition.

Profile: Scopus

Featured Publications

1. Sun, Y., Liu, L., Jiang, L., Chen, Y., Zhang, H., Xu, X., & Liu, Y.* (2023). Unimolecular chiral stepping inversion machine. Journal of the American Chemical Society, 145(28), 16711.

2. Liu, J., Tian, Q., Huang, Y., Du, L., & Wang, L. (2011, June 24–26). Extraction of the corn planting area based on multi-temporal HJ-1 satellite data. The 19th International Conference on Geoinformatics, Shanghai, China. (Accession No. 20113614308210).

3. Liu, J., Tian, Q., Huang, Y., & Du, L. (2012). Dynamic monitoring of summer maize planting information for spatial and temporal variations in Huanghuaihai plain during 2000–2010. Spectroscopy and Spectral Analysis, 32(9), 2534–2539.

4. Liu, J., Tian, Q., Huang, Y., & Du, L. (2013). Monitoring phenology of summer maize in Huanghuaihai using remote sensing technology. Remote Sensing Information, 28(3), 85–90.

5. Liu, J., Tian, Q., Huang, Y., & Du, L. (2012, August 11–13). Extraction of summer maize using MODIS EVI time series in the Huanghuaihai plain. International Conference on Computer Science and Service System, Nanjing, China. (Accession No. 20130615981764).