• Dr. Talib Hussain
  • Hasan Abbas
  • Dake Wang
Keywords: Sustainable Forest Management, Sustainable Forestry, Public Awareness, Strategic Level Forest Management, PLS-SEM


Three main areas of focus were: strategic-level management, local-level management, and communication level management. To provide a better way of confidence and to measure factors affecting sustainable forest management, this study applied the SEM approach and built a model that explained and identified the critical factors affecting sustainable forest management. A quantitative approach via smart-PLS version 3.2.8 was used for analysis. The aim was to find out the relationship between strategic level management, local level management and communication level management for sustainable forest management. The findings of the study discovered that the R2 value of the model was scored at 0.653, which meant that the three exogenous latent constructs collectively explained 65.3% of the variance in sustainable forest management. In this study, the Goodness-of-Fit of the model was 0.431. The strategic level management factor was the most important of the three variables.

Author Biographies

Dr. Talib Hussain

Faculty, School of Economics and Management, Tongji University, Shanghai, China.

Hasan Abbas

Faculty, Changsha University of Science and Technology, School of Economics & Management, Hunan, China. 

Dake Wang

Faculty, School of Media and Communication, Shanghai Jiao Tong University, China. 


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How to Cite
Hussain, D., Abbas, H., & Wang, D. (2021). CONTRIBUTING AGENTS FOR FOREST MANAGEMENT OF RURAL AREAS- AN ANALYSIS THROUGH SMART PLS METHODS. Journal of Business Strategies, 15(1), 109-134. Retrieved from