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.

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.

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.

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.

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.

云南宁洱县茯苓产业发展现状及对策

宁洱县是“云药之乡”,茯苓是其生物药业的重要特色产业之一。文章通过分析研究宁洱县茯苓产业基本情况、存在困难和问题,针对性地提出产业发展建议,为该县茯苓产业可持续发展提供参考。

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%.

Characteristics of rock fragments in different forest stony soil and its relationship with macropore characteristics in mountain area, northern China

Rock fragments have major effect on soil macropores and water movement. However, the characteristics of rock fragments and their relationship with macropore characteristics remain elusive in forest stony soils in northern mountainous area of China. The objectives of this study are to(1) use Industrial Computed Tomography(CT) scanning to quantitatively analyze rock fragment characteristics in intact soil columns in different forest lands and(2) identify the relationship between characteristics of rock fragments and that of the macropores. Intact soil columns that were 100 mm in diameter and 300 mm long were randomly taken from six local forest stony soils in Wuzuolou Forest Station in Miyun, Beijing. Industrial CT was used to scan all soil column samples, and then the scanned images were utilized to obtain the three-dimensional(3 D) images of rock fragments and macropore structures. Next, theparameters of the rock fragments and macropore structure were measured, including the volume, diameter, surface area, and number of rock fragments, as well as the volume, diameter, surface area, length, angle, tortuosity and number of macropores. The results showed that no significant difference was found in soil rock fragments content in the 10-30 cm layer between mixed forest and pure forest, but in the 0-10 cm soil layer, the rock fragments in mixed forest were significantly less than in pure forest. The number density of macropores has significant negative correlation with the number of rock fragments in the 0-10 cm soil layer, whereas this correlation is not significant in 10-20 cm and 20-30 cm soil layers. The volume density of macropore was not correlated with the volume density of rock fragments, and there is no correlation between the density of macropore surface area and the density of rock fragment surface area. Industrial CT scanning combined with image processing technology canprovide a better way to explore 3 D distribution of rock fragments in soil. The content of rock fragments in soil is mainly determined by parent rocks. The surface soil(0-10 cm) of forest contains fewer rock fragments and more macropores, which may be caused by bioturbation, root systems, gravitational settling and faunal undermining.

An application of data envelopment analysis to investigate the efficiency of lumber industry in northwestern Ontario,Canada

This study aims at exploring the technical efficiency of lum- ber industry in northwestern Ontario, Canada using data envelopment analysis （DEA）. The DEA model analyzes relative technical efficiency of lumber mills with disproportionate inputs and outputs by dividing the 10- year time series data, for inputs and outputs of 24 lumber mills, over two periods （1999-2003 and 2004-2008）. Four inputs, namely, material （log volume）, labour （man-hours）, two types of energy （hog-fuel and electric- ity）, and one output （lumber volume） are used in this study. The trend analysis shows an annual reduction of 10%, 13% and 13% for lumber output, log consumption （input） and number of employees, respectively, during the period 1999-2008. The results from DEA with two scenarios with energy inputs and without energy inputs, for the two periods are found to be mixed and interesting. While some mills have improved their performance in terms of best use of available scarce inputs in the second period, some have shown negative per cent change in efficiency. In the with energy input and the without energy input scenario, some of the mills show a reduction in efficiency in the second period from the first period, with the highest estimated reductions of-13.9% and -47.6%, respectively. A possible explanation for these negative performances of mills in the latter period is the decline in production in the second period compared to the first period, where these mills were not able to adjust their inputs （mostly labour） as proportional lay-offs might not have been possible. These results provide policy makers and industry stakeholders with an improved understanding of the trends of efficiency and employ- ment as well as reallocation opportunities of future inputs in order to increase benefits from this sector.

Market analysis for timber and forest products in China

This paper introduces the general condition of forestry resources of China and the demand and supply of timber and forest products. The market for timber and forest producls has borne dual pressure because of the population explosion and growth of the domestic economy. A major contemporary strategy for sustainable forestry includes the promotion of the Forest Products Industry (FPI), the substitution of other materials for timber,and the encouragement of imports of timber and forest products. The author analyzes the effect of these policies on the market for timber and forest products. In addition, the difficulties encountered by most mid-to large -scale state- owned forest enterprises during the transition from a centrally-planned economy to a market economy are examined. Finally, the author points out the countermeasures and means for reform of these old forest enterprises with a view toward future prosperity of the market for timber and forest products.

Optimum Control for Spread of Pollutants through Forest Resources

Pollution has become the most critical factor spread by forest resources through wood-based and non-wood based industries. In other words, pollution is omnipresent. In this paper, the major pollutants caused due to wood and non-wood based industries are discussed which are the primary resources of the forest in spreading the pollution. In order to study the impact of industrialization and associated pollution on forest resources, the system of non-linear ordinary differential equations is formulated. The controls are advised on both types of industries to reduce the pollution.

An integrated method for matching forest machinery and a weight-value adjustment

Proper matching of forestry machinery is important when raising mechanization levels for forestry production. In the matching process, forestry machinery needs not only expertise, but also improved methods for solving problems. I propose combination of case-based reasoning （CBR） and rule-based reasoning （RBR） by calculating the similarity of quantitative parameters of various forestry machines in an analytical and hierarchical process. I calculated the similarity of machin-ery used in forest industries to enable better selection and matching of equipment. I propose a weight-value adjusting method based on sums of squares of deviations in which the individual parameter weights were modified in the process of application. During the process of system design, I put forward a design method knowledge base and generated a dynamic web reasoning framework to integrate the processes of forest industry machinery selection and weight-value adjustment. This enables expansion of the scope of the complete system and enhancement of the reasoning efficiency. I demonstrate the validity and practicability of this method using a practical example.

A Review of Rural Policy-favored Petty Loan Forest Property Certificate Mortgage

Studying petty loan forestry property mortgage mode has significant practical meaning in fund-raising and income-increasing in the forest- agriculture industry,restructuring and expanding the industry as well as setting up scientific industrial public policies. On the basis of literature analysis and field research data,this paper will classify and analyze research papers studying in forestry,property mortgage,and therefore draws conclusions on relevant concepts of petty loan forestry property mortgage,economics and property rights theory as well. At present,the studies of petty loan forestry property mortgage are more practical that are lack of an overall theoretical framework. Considering China's real situation of petty loan forestry property mortgage mode,we have investigated some foreign cases in operating forestry property mortgage systemically and some challenges and difficulties confronted by stakeholders in real cases. Therefore,we put forward that in the current period the fund-raising in forestry industry should focus on establishing and improving an overall rural petty loan forestry property mortgage mode.

Wood Pellet Co-Firing for Electric Generation Source of Income for Forest Based Low Income Communities in Alabama

Alabama imports coal from other states to generate electricity. This paper assessed the direct and indirect economic impacts of wood pellet production to be co-fired with coal for power generation in Alabama. Four sizes of wood pellet plants and regional input-output models were used for the analysis. The results showed that the economic impact increases with the size of the plant. Wood pellet production will have a multiplier effect on the economy especially, forest-related services, retail stores, the health service industry, and tax revenue for the government. Domestic wood pellet production can reduce the use of imported coal, allow the use of local woody biomass, and create economic activities in Alabama’s rural communities. Policies that support the production of wood pellet will serve to encourage the use of wood for power generation and support the rural economies.

An Anomaly Detection Method of Industrial Data Based on Stacking Integration

With the development of Internet technology,the computing power of data has increased,and the development of machine learning has become faster and faster.In the industrial production of industrial control systems,quality inspection and safety production of process products have always been our concern.Aiming at the low accuracy of anomaly detection in process data in industrial control system,this paper proposes an anomaly detection method based on stacking integration using the machine learning algorithm.Data are collected from the industrial site and processed by feature engineering.Principal component analysis(PCA)and integrated rule tree method are adopted to reduce the dimension of the process data,which can restore the original feature information of the data to the maximum extent.Random forest(RF),Adaboost,XGboost,SVM were selected as the first layer of basic learners.Logistic regression(LR)was used as the secondary learner to build the exception detection model based on stacking integrated method.TE data was used to train the base learner model and the integrated model.By comparing and analyzing the experimental results of between integrated model and each basic learning model.By comparing and analyzing the experimental results of the constructed anomaly detection model and the basic learning model,the accuracy of process data anomaly detection is effectively improved,and the false alarm rate of process data anomaly detection is effectively reduced.

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。

Bio-Based Paths to Prosperity for Small and Medium Forest Landowners: A Pilot Study in Southwest Louisiana

Forest biomass has great potential as a biofuel feedstock, but information on forest owner perceptions of using forest biomass to produce bioenergy is lacking. In this case study, we surveyed 3500 small to medium private forest landowners in southwestern Louisiana to better understand their attitudes and perceptions towards harvesting forest biomass for bioenergy production. Results indicate that landowners: 1) were positive about utilizing biomass for bioenergy, 2) believe viable biomass conversion technologies exist, 3) had antagonistic or neutral attitudes towards some technological, economic, and policy issues associated with using forest biomass for bioenergy due in part to lack of information or knowledge, and 4) felt biomass is a low-value product compared to traditional products. Landowners’ perceptions of participating in bio-based activities and markets vary among age and ownership size, and 51% of forest landowners were willing to participate in management activities specifically geared for bioenergy production.