Determinates of the competitiveness of provincial forest health care industry in China

Due to the late start of China’s forest health industry,related research is lagging behind,which results in the inability to propose a corresponding path to enhance competitiveness.Based on this,the evaluation index system of provincial forest health industry competitiveness was constructed by using the Porter diamond model,and the Entropy-TOPSIS model is used to evaluate the competitiveness of China’s provincial forest health industry,and the key influencing factors of the forest health industry competitiveness are identified by using the grey correlation analysis method,and the specific promotion path was designed.The empirical results show that the grey correlation degree between related and supporting industries and the competitiveness score of the forest health industry is the highest,which confirms that it is the key influencing factor of the competitiveness of the forest health industry.Therefore,government departments should vigorously promote the integration of cultural tourism,medical care,pension and other related industries with the forest health care industry;enterprises should strengthen the construction of forest health infrastr ucture and supporting facilities to improve the level of forest health services.

Carbon emission efficiency of forest processing industries in China

This paper uses an input-output table of China's provinces(2007-2016) to measure carbon emissions of these industries.It employs a Malmquist-Luenberger(ML) index with expected and undesired outputs,and an absolute β convergence and a conditional β convergence model,to conduct an in-depth analysis of dynamic changes and spatial convergence.Carbon emission efficiency of forest processing industries in 25 regions,including Shanghai,Chongqing,Zhejiang,and Jiangsu are increasing,whereas those of Tianjin,Liaoning,Heilongjiang,and Tibet are decreasing.The main contributing factors of carbon emission efficiency in three major regions vary over time.Further,carbon emission efficiency in the eastern,central,and western regions all have absolute β convergence and conditional β convergence,indicating that different regions are developing toward their own goals and industry,yet regions with lower efficiency are catching up with those where with more efficient strategies in place.Finally,this paper proposes according recommendations.

Carbon emission risk of construction industry in Hebei Province of China based on carbon sink thresholds

In order to assess the environmental risks caused by carbon emissions from the construction industry in Hebei Province of China,an environmental risk assessment model based on forest carbon sink threshold was constructed to evaluate the carbon emission risks of the construction industry in Hebei Province,China from 2005 to 2020.The results are shown as follows:(1)The overall carbon emissions of the construction industry in Hebei Province of China showed an inverted"V"-shaped evolution trend during the past 16 years.Tangshan and Shijiazhuang maintained high carbon emissions,while Langfang,Hengshui and Baoding saw rapid increases in carbon emissions.(2)The environmental safety threshold of carbon emission from the construction industry in Hebei Province,China,has been continuously improved,and the provincial environmental safety threshold is between 9475080-23144760 tons;The environmental safety threshold was the highest in Baoding and Langfang,and the lowest in Xingtai.(3)In the past 16 years,the carbon emission risk of the construction industry in Hebei Province of China has been in a state of extremely serious risk,and the risk index generally presents an inverted"V"type trend.(4)The carbon emission risk of Hebei city in China presents a spatial pattern of"high in the south and low in the north",which goes through two stages:risk increase period and risk reduction period.

Research on evaluation model of technology innovation ability of state-owned enterprises in northeast industry base

The paper viewed the current problem that state-owned enterprises in northeast industry base hadn＇t technologies of their own intellectual property right, whose sources mainly depended on imitation and introduction from abroad. Operational evaluation method and index criteria system of enterprises technology innovation ability were put forward in this paper, different enterprises may revise the model according to their actual situations to evaluate the enterprise technological innovation ability scientifically and quickly. The findings will be helpful to correlative departments to formulate the related policies and also has important theoretical and practical value in technological innovation project of enterprise.

Discussion on the relationship between Construction of Forest Towns and Reform & Development of State-owned Forest Farms

In recent years, China's social economy has continued to develop. While paying attention to the pursuit of the economy, people are paying more and more attention to the pursuit of quality of life. China has vast territory and abundant resources, forest resources are particularly rich, in order to make full use of forest resources and regulate the use and protection of forests, China has promoted the development of forestry by deepening the construction and reform of state-owned forest farms, and using forest resources to obtain benefits to meet people's living needs. This paper explores the necessity and advantages of building a forest town by analyzing the reform and development situation of state-owned forest farms.

Export Competitiveness and Sustainable Development of the Ukrainian Timber Industry

This paper conducts a comprehensive analysis of the export dynamics within the Ukrainian timber industry, emphasizing its pivotal role in the national economy. The study begins by outlining the research objectives, context, and innovative methodologies, setting the stage for a deep dive into the theoretical underpinnings of sustainable and competitive trade. It explores Ukraine’s rich forest biodiversity across varied vegetation zones and its geopolitical significance. Detailed evaluations of forest resource management, policy frameworks, and institutional support form the core of the analysis. Challenges such as imbalanced export structures and legal inconsistencies are critically examined. The research employs trade gravity models and competitive indicators like the Revealed Comparative Advantage (RCA) and Market Share (MS) to assess factors influencing exports and to forecast potential growth areas. The findings inform strategic recommendations aimed at enhancing export capacity through market diversification, brand development, and legal stability. The conclusion highlights the need for strategic interventions to harness Ukraine’s timber resources sustainably, balancing economic gains with environmental stewardship.

A study on state-owned forest area stakeholders' behavior

The development of state-owned forest area plays a very important role in the development of Chinese forest industry, and even in the construction of national economy. As the backbone of Chinese forestry development, it contributes to Chinese economic development, ecological environment protection and social progress. How to balance all stakeholders' interest and behaviors remains as one of the focuses in the study of sustainable development of forest areas. On this basis, researches were carried out and described in the paper. Firstly, the paper goes through the concept and scope of state-owned forest area in China; Secondly, it defines the stakeholders of state-owned forest area, and discusses over the problems in stakeholders' behaviors from the aspect of responsibility, rights and interests; and Finally, it designs the stakeholders' behaviors on the basis of existing problems and provides constructive suggestions on deeper reform of state-owned forest areas.

Comparative Analysis of Machine Learning Models for Customer Churn Prediction in the U.S. Banking and Financial Services: Economic Impact and Industry-Specific Insights

Customer churn poses a significant challenge for the banking and finance industry in the United States, directly affecting profitability and market share. This study conducts a comprehensive comparative analysis of machine learning models for customer churn prediction, focusing on the U.S. context. The research evaluates the performance of logistic regression, random forest, and neural networks using industry-specific datasets, considering the economic impact and practical implications of the findings. The exploratory data analysis reveals unique patterns and trends in the U.S. banking and finance industry, such as the age distribution of customers and the prevalence of dormant accounts. The study incorporates macroeconomic factors to capture the potential influence of external conditions on customer churn behavior. The findings highlight the importance of leveraging advanced machine learning techniques and comprehensive customer data to develop effective churn prevention strategies in the U.S. context. By accurately predicting customer churn, financial institutions can proactively identify at-risk customers, implement targeted retention strategies, and optimize resource allocation. The study discusses the limitations and potential future improvements, serving as a roadmap for researchers and practitioners to further advance the field of customer churn prediction in the evolving landscape of the U.S. banking and finance industry.

Construction of Forest and Grass Industry Economic Belt Using Land Resources in Road Side Slope

The construction of expressway and high-speed rail is at the sacrifice of the soil ecological environment. It brings about much damaged land and bare slope. It is necessary to restore vegetation and rebuild landscape. In the design of target plant community and configuration plants,it is required to select as far as possible plants that can blossom and bear fruit or pods. Then seeds of these plants can be harvested,processed and sold,and applied for other projects,so as to develop into a complete forest and grass seed industry chain. This not only reasonably utilizes land resources,but also provides a new approach to the problem of insufficient fine forest seed sources in China. This paper discussed the use of land resources in road side slope and forest and grass seed selection and breeding technology,and elaborated the industrialized development paths for forest and grass seed industries in road side slope. Finally,it arrived at following recommendations.( i) The construction of forest and grass industry economic belt using land resources in road side slope can realize maximum land value. Building a road can help people there get rich,and the type of land and water cultivates its type of forest and grass.( ii) It can make up for the losses incurred from construction of expressway and high-speed rail or destroying forest land,and it can increase farmers' income.( iii) It can increase the supply of domestic seeds,reduce seed import,save foreign exchange,and partly solve the problem of insufficient supply of forest and grass seeds.( iv) It is able to form a complete forest and grass seed industry economic cycle chain,increase employment,and provide new approaches for enriching and benefiting farmers.

面向ICS的CGAN-DEEPFOREST入侵检测

随着工业化与信息化的深度融合,工业控制系统(ICS)的安全问题广受关注,ICS领域出现了许多入侵检测模型.但是,现存模型存在局限性,无法同时解决数据不平衡、分类时间长、小样本检测率低和准确率低的问题.因此,本文提出CGAN-DeepForest入侵检测模型解决上述问题.首先,采用改进的条件生成对抗网络(CGAN)定向扩充数据来改善数据的不平衡性.其次,采用随机森林对平衡后的数据集进行特征提取,降低分类模型训练时间和分类时间.再次,采用深度森林(DeepForest)进行分类,提高小样本检测率和整体准确率,输出分类结果.最后,使用数据集Gas验证模型效果.实验结果表明,本文模型与简单深度森林模型相比准确率整体提升3%,小样本数据NMRI、MFCI、Dos的查全率、查准率、F1分别提高至95%、84%、90%;与随机森林模型相比,准确率整体提高6%,小样本NMRI的查全率提升23%;与深度卷积神经网络相比,准确率接近94%时,模型训练时间和分类时间提高约50%.

Discrepancies between targets and achievements in industrial forest production and export in Tanzania

It is important to revisit our plans and compare what was ideally targeted against what was actually achieved in implementation. In comparing the achievements with targets, strengths or weaknesses of established strategies can be accepted or corrections implemented since a plan also outlines some strategies for achieving the targets set. In this study, achievements in production and export of industrial forest products, i.e., sawn wood, plywood, chipboard and fibreboard, paper and paperboard and industrial round wood, are compared against targeted figures for 1996 for Tanzania. Discrepancies were obtained by subtracting targeted from achieved values and expressed both as absolute and relative differences in terms of the targeted values, with a negative sign for pro- duction where achievements were less than targets and a positive sign when achievements were higher than targets. Values achieved ranged from 4%-100% of the targeted values, depending on the product, and were only higher than the targeted value for industrial round wood. Possible causes of the discrepancies are inefficiency of parastatal companies, low private investment, sub-maximal in- dustrial operation and plant inefficiencies. Discrepancies could also result from unrealistic data used in planning due to difficulty in data availability and poor intra- and inter-sectoral coordination. The implications of these discrepancies are low contributions of the wood-based industry to the national economy, increased import substitution of wood-based products, increased socio-economic and environmental degradation and decreased integrity in planning and policy making.

中国造纸业绿色战略演进历程

中国造纸业绿色战略的实践从萌芽期算起已经走过了60年艰难而富有成效的发展历程。在当今国家生态文明建设和实现双碳目标的背景下,对中国造纸业绿色发展过程进行回顾和总结,挖掘绿色战略的演进规律,并预估未来的战略趋势是十分必要的。根据绿色经济和绿色战略理论,以及可再生资源型企业绿色战略演进的一般规律,本文对中国造纸业绿色战略实践的重要事件和举措进行系统梳理,发现中国造纸业绿色战略总体上经历了开环和闭环绿色战略两大阶段。其中,开环绿色战略阶段包含原料导向(林纸一体化)绿色战略和末端治理绿色战略;闭环绿色战略阶段包含循环绿色战略和“循环+”绿色战略。据此,运用超循环经济理论,可以预计中国造纸业绿色战略的未来发展趋势,即林纸超循环绿色战略。

乡村振兴背景下的林业产业融合发展路径探索——基于“森林康养+”的林下经济新业态分析

在国家推进乡村全面振兴的背景下,“森林康养+”模式在林下经济发展中迅速占据了重要位置。这一林下经济新业态不仅为传统的林业产业带来了新的发展机遇,而且为乡村振兴战略提供了一种创新和可持续的发展路径。通过对“森林康养+中医养生+生态旅游”融合的内在逻辑及发展要素分析,为“森林康养+”模式提出了建立配套产业协调发展联盟、打造个性化健康与养生定制服务、系统完成产业融合功能区设计和建立并推动林下生态旅游认证体系的对策建议,旨在为林下产业融合发展和乡村产业振兴提供一定的理论与实践路径参考。

基于组合森林的工业控制系统入侵检测

随着工业控制系统与互联网的关联逐渐紧密,增加了工控系统被外部入侵的可能性,其网络安全也变得日渐重要。针对上述问题,提出了一种基于组合孤立森林的IPCA-CIF入侵检测方法。该方法在PCA的基础上引入信息价值实现特征提取;其次,结合孤立森林和扩展孤立森林提出了一种组合森林的入侵检测方法,对降维后的数据进行入侵检测;最后构建入侵检测模型进行结果验证。实验表明,IPCA-CIF模型在SWa T数据集上,其检测率为0.986,F1-score可达0.893,具有良好的检测性能。

现代林产化学加工技术的现状与发展趋势

生物质资源来源广泛,具有可再生性、结构多样性和碳中性等特点。目前,以生物质为原料的林产化工已成为继煤和石油化工之后最重要的化工产业之一。在对中国的林产化学工业发展历史概览的基础上,梳理总结了现代林产化学工业的发展,创新地提出了林产化学加工工程学科发展的能源化、材料化、食药化、饲料化、肥料化和基料化6个方向。其中,能源化中的生物质气/液/固体燃料的有效开发是实现碳达峰和碳中和的重要途径之一,而我国林产化工的传统研究领域制浆造纸、木本油脂、松脂化学等则从材料化找到新的突破和发展,相比前两者,食药化、饲料化、肥料化和基料化还有很大的发展空间。林产化学工业已迈入质量和效益持续提升发展新阶段,今后将在生物质资源高值化利用、全质利用技术创新、精深加工与应用、绿色低碳与生物技术融合、生物基材料与化学品创新应用,以及多学科交叉融合等方面实现突破,推动产业转型升级,构建绿色低碳循环发展新模式。

森林生态产品价值实现的生态产业化经营实践与探索——以腾冲市沙坝国有林场为例

文章阐述了腾冲市沙坝国有林场探索森林生态产品价值实现的生态产业化经营实践现状,分析研究了其在资金、用地、经营权限、价值评估、收益分配等方面存在的问题,并提出了相关优化措施与政策建议,以期进一步提升生态产业化经营水平,促进以市场为主导的森林生态产品价值实现。

广安森林养生旅游发展策略研究

森林养生旅游已是“旅游+”的重要业态,深受人们喜爱。本文梳理了广安森林养生旅游发展现状,分析存在的问题,发现广安森林养生旅游存在开发配套基础设施不完善、资源没有得到充分利用、森林养生旅游产品开发尚未形成完整的产业链以及从业人员业务水平有待提升等问题,提出完善政策法规,落实产业技术标准和质量规范;强化产业顶层设计、拓宽融资和营销渠道,实施差异化开发模式;把养生特色融入旅游要素中,形成完备产业链;大力引进培养各层次人才等相关策略,以期助力广安森林养生旅游产业高质量发展。

黑龙江森工林区绿色发展模式研究与指标评价

本文从森林资源保护、森林生态系统服务、森林经济发展和森林社会文化发展等方面分析了森工林区的绿色发展模式,提出了森工林区绿色发展模式的指标评价体系,旨在为黑龙江森工林区绿色发展模式的实施提供参考。

乡村振兴战略下涉农高职院校“三农”人才队伍建设探索——以咸阳职业技术学院为例

乡村振兴是中国全面建设社会主义现代化国家的重要保障,具有深远的意义和重大价值。为全面服务乡村振兴工作,充分发挥涉农高职院校在我国乡村振兴工作中的服务功能,笔者基于咸阳职业技术学院近年来林草产业项目在推动“三农”人才队伍建设方面发挥的示范和带动作用,阐述该校为科学高效服务地方“三农”发展,在乡村振兴战略背景下基于“三农”人才队伍建设所做的尝试和探索,以期为“三农”人才队伍建设提供一定的理论参考和实践借鉴。