Fighting Alone or Mutual Benefit and Win? A Study on Forestry Embodied Energy Competition Network Based on MRIO

Abstract Measuring energy usage in the forestry trade is a topic of great significance. In this article, we use the World Input–Output Database and the multiregional input–output model to establish an embodied energy competition network and assess the influence of global value chain (GVC) integration on competition. The results show that (1) the intensity of competition for embodied energy in forestry is higher for exports compared with imports. Additionally, the import competition network exhibits lower connectivity and overall efficiency. (2) The core regions of the competitive network are primarily found in Europe, Asia, and the Americas. The United States consistently maintains a competitive advantage. However, forestry policies have led to a decline in the status of the United States, (3) The hierarchical structure of export competition is more pronounced. When the weighting degree exceeds 200, this phenomenon becomes more pronounced. (4) From the perspective of GVC, positive embedding in the GVC is negatively correlated with import competition. Backward GVC embedding is positively correlated with import and export competition. On the basis of the above results, this article proposes that countries where backward embedding is the main method should actively participate in building appropriate export international associations, participating in international organizations, and building a relatively harmonious and stable export competition market, thereby helping to maintain economic development and energy environment management.

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Publication Details

Journal
Forest Products Journal
Published
2024-10-02
DOI
https://doi.org/10.13073/fpj-d-24-00015
Primary Topic
Environmental Impact and Sustainability
Type
article
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article

Fighting Alone or Mutual Benefit and Win? A Study on Forestry Embodied Energy Competition Network Based on MRIO

Minggui Zheng, Dong Juan, Jingsheng Ni
Forest Products Journal
Environmental Impact and Sustainability
article

Fighting Alone or Mutual Benefit and Win? A Study on Forestry Embodied Energy Competition Network Based on MRIO

Minggui Zheng, Dong Juan, Jingsheng Ni
article en

Abstract

Abstract Measuring energy usage in the forestry trade is a topic of great significance. In this article, we use the World Input–Output Database and the multiregional input–output model to establish an embodied energy competition network and assess the influence of global value chain (GVC) integration on competition. The results show that (1) the intensity of competition for embodied energy in forestry is higher for exports compared with imports. Additionally, the import competition network exhibits lower connectivity and overall efficiency. (2) The core regions of the competitive network are primarily found in Europe, Asia, and the Americas. The United States consistently maintains a competitive advantage. However, forestry policies have led to a decline in the status of the United States, (3) The hierarchical structure of export competition is more pronounced. When the weighting degree exceeds 200, this phenomenon becomes more pronounced. (4) From the perspective of GVC, positive embedding in the GVC is negatively correlated with import competition. Backward GVC embedding is positively correlated with import and export competition. On the basis of the above results, this article proposes that countries where backward embedding is the main method should actively participate in building appropriate export international associations, participating in international organizations, and building a relatively harmonious and stable export competition market, thereby helping to maintain economic development and energy environment management.

Forest Products JournalVol. 74(4)
Openalex Percentile: Top 85%
Environmental Impact and Sustainability
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Fighting Alone or Mutual Benefit and Win? A Study on Forestry Embodied Energy Competition Network Based on MRIO — Minggui Zheng, Dong Juan, et al. · Forest Products Journal (2024) | TGRS Research Map | TGRS