Unlocking Emerging Economies: Exploring the Influence of International Trade on Strategic Options Through Logistic Regression Approach

Rizwan Akhtar (), Jamal Hussain (), Lingchao Li (), Baodong Cheng (), Tran Cuong (), Sajjad Haider (), Abdul Razaq (), Iftikhar Ali () and Chenlu Tao ()
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Rizwan Akhtar: Karakoram International University
Jamal Hussain: Karakoram International University
Lingchao Li: Beijing Forestry University
Baodong Cheng: Beijing Forestry University
Tran Cuong: Hanoi University of Industry
Sajjad Haider: Karakoram International University
Abdul Razaq: Karakoram International University
Iftikhar Ali: Karakoram International University
Chenlu Tao: North China Electric Power University

Journal of the Knowledge Economy, 2025, vol. 16, issue 2, No 68, 7845-7873

Abstract: Abstract This study delves into the dynamic interplay between emerging economies’ international trade and strategic options (forest transition or not). We seek to unlock the intricate connection between international trade and trade structure adjustments on forest cover dynamics through a rigorous analysis using a logistic regression model. The findings of our study exhibit a clear link between the total exports of manufactured goods and services (TEXP) and strategic options, indicating a significant and negative effect on strategic options. On the other hand, the percentage of non-primary goods exports (PNPEXP) does not significantly affect strategic options. The study recommends that policymakers promote the growth of manufacturing and services industries to protect and increase forest cover in emerging economies. It also contributes to the broader discussion on international trade and offers practical insights for policymakers and stakeholders leading the challenges of emerging economies.

Keywords: Trade; Strategic options; Logistic regression model; Forest cover; Developing countries (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s13132-024-02072-y

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