Activity Data and Emission Factor for Forestry and Other Land Use Change Subsector to Enhance Carbon Market Policy and Action in Malawi

Activity data and emission factors are critical for estimating greenhouse gas emissions and devising effective climate change mitigation strategies. This study developed the activity data and emission factor in the Forestry and Other Land Use Change (FOLU) subsector in Malawi. The results indicate that “forestland to cropland,” and “wetland to cropland,” were the major land use changes from the year 2000 to the year 2022. The forestland steadily declined at a rate of 13,591 ha (0.5%) per annum. Similarly, grassland declined at the rate of 1651 ha (0.5%) per annum. On the other hand, cropland, wetland, and settlements steadily increased at the rate of 8228 ha (0.14%);5257 ha (0.17%);and 1941 ha (8.1%) per annum, respectively. Furthermore, the results indicate that the “grassland to forestland” changes were higher than the “forestland to grassland” changes, suggesting that forest regrowth was occurring. On the emission factor, the results interestingly indicate that there was a significant increase in carbon sequestration in the FOLU subsector from the year 2011 to 2022. Carbon sequestration increased annually by 13.66 ± 0.17 tCO2 e/ha/yr (4.6%), with an uncertainty of 2.44%. Therefore, it can be concluded that there is potential for a Carbon market in Malawi.

The impact of market coordination on urban green total factor productivity:An analysis of the mediating effect of factor misallocation

Promoting market coordination and enhancing the efficiency of green growth is a necessity for China’s effective economic development.Using panel data from 2007 to 2020,this paper conducts a comprehensive study on 226 cities at the prefecture-level and above,combining theoretical analysis and empirical tests to systematically explore the impact of market cohesion on urban green total factor productivity(GTPF)and the mediating role of factor mismatch.Findings demonstrate that market coordination maximizes urban GTPF.At the mechanism level,factor mismatch plays a mediating role,and market coordination can enhance GTPF by addressing capital and labor mismatch.In terms of heterogeneity analysis,market coordination significantly promotes GTPF positively in the east-central region and negatively in the western region.In terms of technological progress and technical efficiency,the eastern region shows a larger significance than the central and western regions combined.In view of the above,the concept of market coordination development has been implemented to promote GTFP in cities.

Cassava sector development in Cameroon: Production and marketing factors affecting price

Regular and available supply is the prerequisite of an effective and efficient commercialization process. Using multivariate regression analysis on field data, this research appraises the production and marketing factors that influence cassava market price. The production factors include cultivated area, planting material, yield, and farmers’ field schools;while farmers access to a paved road, having a telephone, the transportation costs of fresh roots, the level of root perishability, and the prices of rice and maize stand as marketing factors. The results show that farmers who attended farmers’ field school adopted improved planting materials, propagated them in their localities and the yields in these communities increased significantly. The farm size also has a significant influence on the availability of fresh roots. On the marketing side, transportation costs, access to a paved road, the prices of rice and maize significantly affect cassava’s market price and tighten the relationship between producers and marketers. We conclude that to increase fresh roots supply, roads leading to cultivating areas should be paved, better transportation provided, communication costs reduced, even distribution of planting materials and appropriate warehouses.

Analysis on Farmers’ Straw Marketization Behavior and Its Influence Factors: A Case Study of Hubei Province

Crop straw has huge resource potential. It has an important significance for realizing waste recycling and improving eco-environment to prefect straw marketization system and sufficiently stimulate farmers’ straw marketization behavior. Based on 427 copies of investigation data on farmers,influence mechanism framework of farmers’ straw marketization behavior is constructed,and key factors of farmers’ straw marketization behavior are analyzed. Results show that farmers joining in straw marketization account for 42. 1%; in influence factors of farmers’ straw marketization behavior,cultivated land area,market price level,logistics satisfaction and air quality perception have significantly positive impacts on farmers’ straw marketization behavior,while education degree,agricultural income proportion and traffic convenience have significantly negative impacts on farmers’ straw marketization behavior. Therefore,it needs strengthening propaganda intensity,carrying out reasonable subsidies and support,encouraging and breeding new type of organization,and establishing and improving the price mechanism of straw marketization to perfect straw marketization construction.

Influencing Factors of Rural Land Internal Circulation Market in Guangdong Province

The circulation of rural land is helpful to improving the allocation efficiency of land resources,increasing farmers'income and promoting the development of modern agriculture.In this paper,we used the social economy,the main participants and the market environment of rural land circulation to make a qualitative analysis for the factor of rural land internal circulation.With the aid of principal component analysis,grey correlation model,and other methods to make a quantitative analysis for the factor of rural land internal circulation.The results show that the grey correlation degrees of the output value of secondary and tertiary industries as a proportion of GDP,the expenditure on science and education per capita,the expenditure on financial support for agriculture,the proportion of non-agricultural population and the standardization of rural land circulation contracts are 0.8988,0.8382,0.7632 and 0.7576 respectively,indicating that these factors are significantly related to the rural internal land circulation market.

Major Factors Influences the 2008 Stock Market

2007 was an unusual year for China's stock market, as the index climbed from 2675 points up to 6124 by the end of the year, setting new records again and again throughout 2007. What will happen to the stock market in the coming 2008? Let's havea look at some of the main factors that will influence the stock market this year, perhaps we can find out if 2008 will be another memorable year full of surprises.……

Marketing Factors Affecting Middle Class Consumer’s Buying Decision in Housing Market in Nanning City

It is important to study the relationship between marketing factors and purchase decisions of middle-class consumers in Nanning housing market.This study will investigate the factors influencing people decision to purchase houses in Nanning City.The extrinsic housing attributes at this study consist of environmental attributes and location attributes.I have a limited understanding of the purchase behavior of Nanning home buyers in Nanning City.This study adopts the data collection methods of e-mail and field survey.Based on 509 questionnaires,the data were analyzed using descriptive statistics analysis and logistic regression.The results show that location attributes,such as school districts,positively influence housing purchase decisions in Nanning City.This study contributes to an improved understanding of home buyers’decision making in Nanning City.The beneficiaries of this study include home buyers and marketers and academic institutions.To better meet home buyers’needs and achieve a competitive advantage,marketers can use the research outcomes to focus more on those housing purchase factors that significantly influence house buyers’purchase decision making.

Research on the Major Factors that Influence the Consumer Psychology in the Marketing Process

In this paper, we conduct research on major factors that influence the consumer psychology in marketing process. In marketing system, customer relationship management mainly summarized as： the purpose of the enterprise with the high quality products, fast and perfect service to attract new customers, maintain the good relationship between good and old customers. Many enterprises in the market in China in the process of economic transition has begun to attach importance to marketing strategic planning, but truly strategic decision making and planning is one of the few. Most enterprise pays attention to raise the level of the sales growth and profits in the eye of little concern for the future market of possession and the actual position in the market. Under this background, we propose the consumer psychology related research in this paper for enhancement.

An Analysis of the Factors that Affecting the Men＇s Private Custom Shirt Entrying the Market

Based on some time ago in the Jingdong financial to see a public project - 3D scan. An platform to help men Custom personal shirts, It is a good project, but unfortunately, the funds raised is not ideal, Studying the project process carefully, Scholars believe that there are two factors that affect the number of support, one is that the 3D scanning of human body size, You need to make an appointment for a professional people to scan your size. which makes an obstacle of the consumer and the financing, combined with the consumer Alert psychology, they do not like strangers to visit them.Second, the traditional concept of consumption, consumers rely on the traditional way of consumption. So, the author read a lot of literatures on the basis of summing up the impact of predecessors to enter the market factors of new products. Using AHP sottware to analyze the influencing factors of influencing the new product entering the market, and provide some ideas for the start-up enterprises to better open the market.

Factors of Marketing Toward Customer Decision-Making in Cross-Border E-Commerce:Case Study of QD Company

Taking small cross-border e-commerce enterprise QD company as an example,this study targets customers consuming on the platform of cross-border e-commerce enterprise QD company,and the purpose is to study the marketing factors affecting customer decision-making.By combining with relevant literature,this paper preliminarily confirmed that 7Ps,Technology Acceptance Model(TAM),and customer decision-making theory as the theoretical basis,and established the theoretical model.According to the mature scale of domestic and foreign scholars to measure the research variables,with 7Ps and TAM as the independent variable,TAM perceived usefulness and ease of use as the core of the independent variable,customer decision-making as the dependent variable,in the test before the project,forming a formal questionnaire,the main data are obtained through the design and distribution of the questionnaire.Based on a large number of relevant literature,this paper examines the marketing factors influencing customer decisions in cross-border e-commerce,then identifies goals,builds models,and proposes hypotheses.According to the technical acceptance model in consumer behavior theory,select the cross-border e-commerce enterprise quantum dot platform of consumers as the research object,finally through SPSS software on cross-border consumer feedback,including descriptive statistical analysis,factor analysis,correlation analysis,regression analysis test customer satisfaction,finally found a significant positive relationship between customer decision-making and marketing mix and TAM variables.

Effect of Population Factors on China＇s Housing Market

The population factors have an important influence on the housing market. Based on forecasting the change of population quantity, family size, age composition, and population migration, this paper estimates and analyzes the future demand for residence in China and its purpose is to provide a guide for the residential construction by the supply-demand rule.

Selection Factors for Market Subjects of Agricultural Industrial Development

The paper firstly analyzes selection factors for market subjects of agricultural industrial development in China. From the political aspect, it is required to take account of features of subjects of agricultural industrial development at current stage. From economic aspects, we should adheres to the two-tier management system that integrates unified with separate management on the basis of household contract management in the countryside, and cultivate and foster subject enterprises according to features of most important market subjects in market economy. From natural aspects, it is proposed to consider features of agricultural industry and inherent advantages of agricultural resources in China. From social aspects, it is essential to draw on successful experience of developed countries in developing market subjects of agricultural industry.

A study on the factor market distortion and the carbon emission scale effect of two-way FDI

Based on the data of 30 Chinese provinces for the period from 2004 to 2015,this paper expounds the carbon emissions effect of two-way foreign direct investment (FDI) from the perspective of scale effect and factor market distortions.This study uses Kaya identity to decompose carbon emission and construct simultaneous equations model to empirically examine the factor market distortion and the carbon emission scale effect of two-way FDI.The results show that the inward foreign direct investment (IFDI) increase regional carbon emission through scale effect and also exacerbates factor market distortion in China,whereas the outward FDI trends reduce carbon emission and reduces factor market distortions in China.The study also shows that human capital,research and development (R&D),trade openness,and capital accumulation are important determinants of two-way FDI.Therefore,the study proposes that IFDI policies should focus on acquiring green technologies.In addition,the domestic enterprises should be encouraged to participate in global business.

A Fast LDL-factorization Approach for Large Sparse Positive Definite System and Its Application to One-to-one Marketing Optimization Computation

LDL-factorization is an efficient way of solving Ax = b for a large symmetric positive definite sparse matrix A. This paper presents a new method that further improves the efficiency of LDL-factorization. It is based on the theory of elimination trees for the factorization factor. It breaks the computations involved in LDL-factorization down into two stages： 1） the pattern of nonzero entries of the factor is predicted, and 2） the numerical values of the nonzero entries of the factor are computed. The factor is stored using the form of an elimination tree so as to reduce memory usage and avoid unnecessary numerical operations. The calculation results for some typical numerical examples demonstrate that this method provides a significantly higher calculation efficiency for the one-to-one marketing optimization algorithm.

Factor and Cluster Analysis as a Tool for Patient Segmentation Applied to Hospital Marketing in Jordan

Hospital marketing is becoming important for the survival and the prosperity of the health service. In addition, it indirectly acts as a formal feedback channel for the customer requirements, preferences, suggestions and complaints. In this work we have undertaken a survey based marketing study for two main objectives: The first being to better understand the patient clusters through k-means clustering and the second to understand customer perception of the different known quality perspectives through factor rotated and unrotated analysis. All of the questionnaires were designed according to international studies. Based on general descriptive statistics, items classified with higher variance but important, are: clean environment, doctors and nurses capabilities, and specialized doctors. Items that are less important with low variance are: food type, lighting and insurance. Also, items classified as more important with low variance are: recommended, no mistakes, and the cost. Using factor analysis rotated and unrotated reduced the variables into five main variables described as: medical aspects, psychological aspects, cost aspects, hospital image and ease of access and procedures. Using k-means clustering, the customers can be clustered into four main clusters with two of them described as general patient with wide variety of interest, serious cases interested in specialized doctors and food, and very serious case with high stress on equipment, no mistakes.

Impact of Controllable Factors on Export Performance of SMEs in Jordan

Exporting is of great interest for SMEs in Jordan from both microeconomic and macroeconomic perspective.The objective of this study was to identify to what extent specific internal factors contribute to export success of SMEs in Jordan.This study hypothesized that export performance of SMEs is directly affected by three groups of internal factors.These include firm characteristics,managerial characteristics,and marketing strategy.A multiple case approach is used to conduct this research and a structured interview is developed to collect the data directly from the participants.A pattern matching approach was used to test the hypotheses.The results show that export performance is positively affected by firm characteristics,managerial characteristics,and marketing strategy.Additionally,the demographic characteristics of managers and adaptation of distribution channels are unlikely to have an influence on export performance.This was unexpected,because of the plenty of empirical evidences in the literature that support the impact of these variables on export success.

Electoral Behavior in Sub-Saharan Africa： Explanatory Factors and Implications： An Exploratory Study

The aim of this research is to identify the factors that determine the voting behaviors of African populations in a context of strong competition between different political products. To do this, a synoptic review of concepts involved is first presented. Then, 60 semi-directive interviews were conducted with persons who have the voter cards and who participated in the vote during the last two presidential and legislative elections in order to identify the factors that influenced their decision. A content analysis of the interviewees＇ speeches reveals that four categories of factors determine the electoral behavior of Cameroonians： candidate profile, socio economic, political and situational factors.

Empirical Research on the Influence of Export Market Diversification on Total Factor Productivity: Based on the Perspective of Trade Protection

This paper mainly explores the impact of export market diversification as an important measure to deal with trade friction on firms total factor productivity.Firstly,this article focuses on the theoretical analysis of the impact mechanism,including risk diversification,reversal effect and spillover effect.Based on the sample data of Chinese manufacturing export enterprises from 2000 to 2007,this paper conducts an empirical test on the relationship between export market diversification and total factor productivity.The result indicates that export market diversification has a significant positive effect on the total factor productivity of enterprises.After considering the endogenous problem,by controlling the fixed effects,using the two-stage least square method and changing the duration of the sample for robustness analysis,the results are still consistent.In addition,the role of diversification policy in total factor productivity presents heterogeneous characteristics in terms of different types of enterprise ownership,export intensity,industry competition,trade methods,and the development degree of exporting market.Accordingly,this paper puts forward corresponding policy recommendations.

碳排放权交易、数字经济与企业全要素生产率

“双碳”战略目标的提出契合高质量发展的内在需要,碳排放权交易市场是实现该目标的关键工具,2013—2014年,我国建立了首批七个试点碳交易市场,近十年以来,此项政策的减排效果已经受到广泛认可,但其对经济发展的影响依然值得探究。基于2010—2019年重污染行业A股上市公司的数据,本文以首批七个试点碳交易市场的正式启动为准自然实验,构建双重差分模型探讨该项政策对企业全要素生产率的影响,并从碳交易市场特征和数字经济发展的角度对作用机制进行分析。研究发现,碳交易政策能够显著提高企业的全要素生产率。机制分析表明,在碳交易政策对全要素生产率的作用过程中,企业数字化转型发挥了部分中介作用。此外,碳交易政策效果在非国有企业、风险承担水平高的企业中更强,并且碳市场的交易规模、流动性、数字基础设施、互联网普及率和数字普惠金融的发展都对碳交易政策效果发挥着正向调节效应,碳配额价格水平也具有一定的负向调节效应。