Does China's natural forest logging ban affect the stability of the timber import trade network?

Zhang, Qian; Cheng, Baodong; Diao, Gang; Tao, Chenlu; Wang, Can

doi:10.1016/j.forpol.2023.102974

Cited by 4 publications

(2 citation statements)

References 60 publications

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“…The Northeast State-owned Forest Areas, comprising China's largest forest ecological functional zone, are essential for ecological preservation and sustainable economic development [1,2]. This region has suffered economic, social, and ecological catastrophes as a result of the extended and intensive exploitation of forest resources [3,4].…”

Section: Introductionmentioning

confidence: 99%

“…These initiatives aim to facilitate the transformation of the forest region [9]. Ecological policies mainly affect the environmental and economic features of the Northeast State-owned Forest Areas, while the literature on forest system reform mostly discuss changes at the forest system level [2,10]. Therefore, the Northeast State-owned Forest Areas have undergone economic, social, and ecological shifts [11].…”

Section: Introductionmentioning

confidence: 99%

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Calculation and Cause Analysis of Hidden Unemployment—A Case Study of the Northeast State-Owned Forest Areas in China

Wang,

Cao,

Wen

2024

Sustainability

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The Northeast State-owned Forest Areas comprise the largest region of resources in China. The transformation of the Northeast State-owned Forest Areas is due to various stimuli, such as policies, systems, and markets. In the context of ecological construction and the reform of the state-owned forest system in Northeast China, these have undergone a transformation in terms of economy, society, and ecology. However, a mismatch persists between employment and industrial structures, leading to hidden unemployment. This study employs the framework of hidden unemployment theory, utilizing the Cobb–Douglas production function to quantify the hidden unemployment rate, revealing the relationship between transformation and hidden unemployment. Through this analysis, the underlying causes of hidden unemployment in Northeast China’s state-owned forest regions are scrutinized. There is a bidirectional causal relationship between ecological transformation and hidden unemployment, while there is a unidirectional causal relationship between economic transformation and hidden unemployment. Variance decomposition analysis highlights the substantial contribution of social transformation, followed by economic transformation, with ecological transformation playing a comparatively smaller role. Based on the above research, this article proposes expediting the reforms within the forest industry groups, facilitating the separation of governmental and corporate interests. Additionally, it advocates for strategic forestry development planning to effectively absorb surplus labor, and proposes three policy directives aimed at supporting forest area employees, including provisions for job transfers and reemployment opportunities.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Calculation and Cause Analysis of Hidden Unemployment—A Case Study of the Northeast State-Owned Forest Areas in China

Wang,

Cao,

Wen

2024

Sustainability

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Analysis of the Trade Network of Global Wood Forest Products and its Evolution from 1995 to 2020

Liu,

Chen,

et al. 2024

Forest Products Journal

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Global trade of wood forest products is a complex system, and its flow between trading countries forms a trade network of wood forest products. The transmission efficiency of the trade network largely depends on its network structure. The commonly used method in recent years to analyze the network structure is complex network analysis. Therefore, this study used the complex network method, through using kernel density curves every 5 years to show distribution changes of complex network indictors to study the evolution of the trade network of global trade of wood forest products, based on trade data from 1995 to 2020. The results show that the trade relationship between countries is deepening. Compared with resource-based wood forest products, the trade of deeply processed wood forest products is larger in scale, more complex in structure, and more closely linked. The core countries in global wood forest products trade mainly comprise North American and European countries, while several developing countries in Asia with abundant forest and labor endowments are gradually joining the core tier and jointly control the trade market. We also revealed the intervention of world forestry development goals and national forestry policies on changes to trade structure and trade groups.

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An In-Depth Study of the Strengthening Mechanism in Wood Scrimber Prepared Via Roller-Press Impregnation Technology

Wu,

Zhang,

2024

Preprint

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Does China's natural forest logging ban affect the stability of the timber import trade network?

Cited by 4 publications

References 60 publications

Calculation and Cause Analysis of Hidden Unemployment—A Case Study of the Northeast State-Owned Forest Areas in China

Calculation and Cause Analysis of Hidden Unemployment—A Case Study of the Northeast State-Owned Forest Areas in China

Analysis of the Trade Network of Global Wood Forest Products and its Evolution from 1995 to 2020

An In-Depth Study of the Strengthening Mechanism in Wood Scrimber Prepared Via Roller-Press Impregnation Technology

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