Socio-economic and ecological impacts of China's forest sector policies

Aguilar, Francisco X.; Wen, Yali

doi:10.1016/j.forpol.2021.102454

Cited by 19 publications

(10 citation statements)

References 27 publications

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“…China's policy interventions in the forest sector have improved environmental and ecological conditions. However, whether forest resources increase depends on issues such as land planning, land practice, and land use rights [43]. China's economic development has driven forest transformation, and economic and population growth has increased demand for forest products and deforestation.…”

Section: Management Of Forest Resourcesmentioning

confidence: 99%

Exploring the Role of Forest Resources Abundance on Economic Development in the Yangtze River Delta Region: Application of Spatial Durbin SDM Model

Zhang

Tang

Boamah

2022

Forests

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With the data of 41 cities, including urban and rural areas in the Yangtze River Delta (YRD) region from 2007 to 2019, this paper mainly uses the spatial econometric method to analyze the impact of forest resource abundance in the YRD region on economic development under the background of carbon neutrality. Direct effects, indirect effects, and total effects are further decomposed. The main conclusions are as follows. (1) The abundance of forest resources in the YRD has a U-shaped non-linear effect on economic development, and the curse of forest resources will gradually form forest resource welfare with economic improvement. (2) The phenomenon of economic convergence exists in the YRD region. (3) The spatial effect of forest resource abundance on economic development is non-linear, and the increase in greenery and carbon reduction should be moderately reasonable. (4) The abundance of forest resources can also promote the development of green total factor productivity. The research in this paper complements the existing literature and provides a reference for policymakers.

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Section: Management Of Forest Resourcesmentioning

confidence: 99%

Exploring the Role of Forest Resources Abundance on Economic Development in the Yangtze River Delta Region: Application of Spatial Durbin SDM Model

Zhang

Tang

Boamah

2022

Forests

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“…Currently, the realization of ESV mainly relies on market transactions, predominantly driven by market forces and consumers, with payment entities including the government and residents (both collective and individual) [65]. Although market transactions represent the most efficient mode of value realization for ecosystem products at present, the disproportionate proportion of regulation-and-support service values still heavily relies on vertical ecological compensation from the state [66]. Products that can enter the market (e.g., carbon sequestration products and green financial products) have yet to achieve effective value realization owing to the incomplete development of transaction mechanisms such as property rights and market platforms.…”

Section: The Conversion Level Of Ecosystem Service Value In the Ksfr ...mentioning

confidence: 99%

The Temporal and Spatial Evolution Characteristics of the Ecosystem Service Value and Conversion Rate in China’s Key State-Owned Forest Regions

Huang,

Li,

Ren

et al. 2024

Forests

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To achieve a sustainable development path that harmonizes ecological and economic considerations, China has advocated the “two mountains” concept: “lucid waters and lush mountains are invaluable assets”. This idea posits that those who protect the environment can economically benefit by selling pristine landscapes and utilizing rich ecological resources. This paper use “the equivalence factor method” to calculate ecological benefits, introduces a technical measure—the conversion rate of ecosystem service value—and analyzes its temporal and spatial evolution from 2003 to 2020 in the operational areas of 87 state-owned forestry enterprises in Northeast China. The findings show: (1) a significant improvement in ecosystem-service quality, with its value increasing from 404.7 to 850.2 billion CNY between 2003 and 2020. The restoration of the ecological environment in China’s KSFR provides a foundation for economic and social development. (2) A decrease in the economic gains derived by operators from developing protected ecosystems, with the most significant decline observed in economic benefits generated from the supply product, including timber harvesting. However, the industrial structure in KSFR shifted from being dominated by timber production to diversified development, with non-timber forest resources becoming an important part of regional economic growth. (3) Significant potential for realizing the value of ecosystem services, evidenced by an increasing trend in the conversion rates of cultural, regulatory, and supporting services. These findings underscore the effectiveness of China’s natural forest protection and restoration policies in optimizing forest ecology and realizing the “two mountains” concept through appropriate market transactions and ecological compensation mechanisms.

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“…The government has thus implemented the Natural Forest Resources Protection Project, which involves the protection of ecological functional areas [5]; a complete ban on commercial logging of natural forests; and the "Reform Plan of State-owned Forest Farm" and "Guiding Opinions on Reform of State-owned Forest Region" [6][7][8]. 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].…”

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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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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Socio-economic and ecological impacts of China's forest sector policies

Cited by 19 publications

References 27 publications

Exploring the Role of Forest Resources Abundance on Economic Development in the Yangtze River Delta Region: Application of Spatial Durbin SDM Model

Exploring the Role of Forest Resources Abundance on Economic Development in the Yangtze River Delta Region: Application of Spatial Durbin SDM Model

The Temporal and Spatial Evolution Characteristics of the Ecosystem Service Value and Conversion Rate in China’s Key State-Owned Forest Regions

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

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