Evaluation on China's forestry resources efficiency based on big data

The theme of this Special Volume (SV) focuses on improving natural resource management and human health to ensure sustainable societal development. Natural resources have been exploited unduly regardless of the consequences, which has resulted in inappropriate management natural resources and has caused severe environmental degradation. Contributions in this SV addressed improved environmental management, utilization, and allocation of natural resources; evaluation of sustainable natural resource management; pollution prevention and treatment; and evaluation and suggestions for improved natural resource-related policies. The authors presented an inspiring panorama of the initiatives that have been developed throughout the world for sustainable natural resource management and improve societal development. Theoretically, new approaches to bridge the gaps between the economic development and environmental protection were increasingly dominant. Empirically, many of the papers provided case studies of regions in China and other regions. The authorship reflected growing collaboration between researchers from many different countries or universities. While the great diversity of contributions on the topic reflected the wealth of insights generated on the topic in recent years, there is much more that must be done to achieve societal sustainability in natural resource management.

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“…Lin and Lin (2017) evaluated the efficiency of energy consumption of the heating industry in China. Li et al (2017a)…”

Section: Natural Resource Utilization and Managementmentioning

confidence: 99%

How would big data support societal development and environmental sustainability? Insights and practices

Song

Cen

Zheng³

et al. 2017

Journal of Cleaner Production

172

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“…The input elements of FEE should at least include land, labor and capital [15], this paper calculates the ecological efficiency of forestry from the perspective of green production. The aim is to achieve the maximum forestry output at the cost of less resource reduction and environmental pollution.…”

Section: Indicator Description and Data Sourcesmentioning

confidence: 99%

Evaluation of Forestry Ecological Efficiency: A Spatiotemporal Empirical Study Based on China’s Provinces

Chen

Yao

2021

Forests

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Forests play a very important role in carbon dioxide emissions and climate change, and the development of China’s forestry is of great significance to our citizens. However, it is an arduous task for us to improve forestry output at a high and good level while taking environmental factors into account. In this paper, the non-expected super-efficiency SBM (slacks-based measure) model was used to measure the forestry ecological efficiency (FEE) of 31 provinces in China from 2004 to 2018, and the spatial and temporal evolution of FEE in different regions of China was analysed by using spatial econometric method. Tobit regression and random forest algorithm were selected to analyze the influence on FEE. The results showed that, firstly, the average annual increase of the national total factor productivity change of China’s forestry was 1.2%, and that the average annual increase of the national total factor productivity change in the eastern region was lower than that in the central and western regions. Secondly, the distribution of China’s FEE of the northeast and the south was higher, and FEE of China’s middle regions was relatively lower in 2004, but then the FEE in Northeast China has decreased, and the FEE has increased gradually from north to south in 2018. The agglomeration of high-tech industries in most regions of China had obvious positive spatial correlation characteristics in 2018. Thirdly, there was a negative correlation between forestry fixed assets investment and FEE, environmental regulation was an important factor affecting the ecological efficiency of forestry in China, and the level of economic development and industrial structure also had a certain impact on FEE.

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“…Prevention of grazing in some areas and converting arable to grassland can have adverse impacts on rural incomes (Zhang, 2016) and lead to food shortages. In such circumstances, farmers have re‐converted grassland to arable to combat food shortages, directly in contravention of the program (Li et al, 2017). However, ecological functions have been advanced in many areas to create a more complex multifunctionality.…”

Section: Mfa In Chinamentioning

confidence: 99%

Multifunctional agriculture: Policies and implementation in China

Song

Robinson

2020

Geography Compass

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Multifunctional agriculture (MFA) has been supported in the European Union (EU) for over two decades, primarily as part of rural development policy in which agriculture is encouraged to deliver a range of economic, social and environmental outcomes. MFA has also grown in some countries without significant policy support, notably in peri-urban fringes in North America and Australasia. Further expansion of this phenomenon is now apparent in China under strong central government policy directives from the early 2000s. Drawing upon a decade of studies of MFA in China, this paper examines some of the responses to various related policy initiatives, including major programs, such as Grain for Green, which have encouraged farmers to generate environmental services. It also refers to the scope for individual farm households to take initiatives leading to MFA via adoption of multiple functions on smallholdings (e.g., rural tourism, food processing). Various interpretations of MFA are explored, with a focus on how central government policy directives have driven take-up of various MFArelated initiatives.

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Evaluation on China's forestry resources efficiency based on big data

Cited by 68 publications

References 24 publications

How would big data support societal development and environmental sustainability? Insights and practices

How would big data support societal development and environmental sustainability? Insights and practices

Evaluation of Forestry Ecological Efficiency: A Spatiotemporal Empirical Study Based on China’s Provinces

Multifunctional agriculture: Policies and implementation in China

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