Analysis of the Impact of Rural Land Transfer on Farmers' Income:A Case Study of Farmers in Zaozhuang City

Based on the survey of household data in Zaozhuang City,Shandong Province,this paper empirically demonstrates the effect of the rural land transfer system on the income and income structure of farmers. The studies have shown that the rural land transfer system reform has positive influence on income structure,wage income and property income of farmers. However,from the field survey,it is concluded that the organization effect and mortgage effect of the rural land transfer system reform are not significant.

Patterns of Mortality Occurrence in a Cardiology Unit of a Low-Income Country: A Critical Analysis at the YaoundéCentral Hospital

Background: In-hospital mortality is high in low-income countries. Currently, little is known in Cameroon concerning the characteristics of patients who die in cardiology units. Our objectives were to determine the in-hospital mortality rate;describe the general characteristics of death patients, and factors associated with mortality. Material and Methods: We conducted a retrospective cross-sectional study by reviewing the medical records of all patients admitted to the cardiology unit of the Yaoundé Central Hospital (CHY) between January 2018 andJanuary 2019. The files of all death patients were studied for socio-demographical, clinical and therapeutical variables. Bivariate analysis was conducted to order to check the association between independents variables and time of death. A p-value < 0.05 was considered statistically significant. Results: A total number of 860 patients were admitted in the cardiology unit of CHY during the study period. Amongst the 860 patients admitted 78 had a fatal outcome, hence, an in-hospital mortality rate of 9.06%. The male gender was predominant amongst the deceased patients (n = 45). The mean age at death was 69 ± 15.19 years. The median time before death was 6 days and they ranged between 1 to 25 days. Hypertension was the most frequent comorbidity (65.4%). Stroke was the principal cause of admission (40.3%), whereas the main presenting complaint was dyspnea (26.9%). Before being admitted to the cardiology department, the majority of the deceased patients were from the emergency department. The major clinical sign of death was respiratory distress (39.74%). Shock on admission was the sole factor found to be associated with the mean time of death (p = 0.012). The patients with deep venous thrombosis compared to other diagnoses were less like to die early (r = 16, p = 0.016). Conclusion: The patient admitted in the cardiology unit of Yaoundé Central Hospital died mainly from stroke and the death is earlier when the patient has signs of shock on admission. These results emphasize the need for a good primary evaluation at the emergency room, to better manage patients with cardiovascular diseases in the cardiology ward.

Data Analysis of Balance Sheet and Income Statement

The balance sheet and the income statement have different functions and cooperate with each other to form an organic whole,complete and without redundancy to describe an enterprise’s economic activities.The financial analysis method is used to analyze how the data of the two reports reflect the capital structure,profit ability,operational capacity,and solvency of the enterprise.

Positive Analysis Of Income Disparity between Towns＇ Residents and Rural Residents in Hebei Province

With the economic development, the income disparity between towns＇ residents and rural residents in China shows an enlarging trend. This phenomenon becomes a hot issue of the whole society. The income disparity between towns＇ residents and rural residents in Hebei province also shows an enlarging trend. The authors study this problem with the positive analysis method from the situation, the developing trend in the future, the reasons of the income disparity between towns＇ residents and rural residents in Hebei, and put forward proposals about how to reduce the income disparity.

Analysis of Social Capital's Effect on Income of Poor Households:A Case Study in Sichuan Province

Looking from the existing research,improving the social capital of the poverty population is an effective way to promote the population quality and the income growth of the poor people. Based on the existing research,with the rural poor households in Sichuan Liangshan as the research object,this article used factor analysis to measure social capital stock,and then analyzed the influence of social capital on the income of the poor peasant households in that region,through the reconstructed production function. The results show that the poor households' social capital has a significant impact on their income level,and the effect degree varies in different income levels.

Empirical Analysis on Effect of Agricultural Financial Investment on Increase of Farmers' Income

On the basis of economic data from 1978 to 2006,the co-integration theory is applied to discuss the relation between agricultural financial investment and farmers' income.The statistic AR model is obtained.Then,it makes pulse response analysis in combination with principle of pulse response analysis.The regression results show that support in agricultural production,various agricultural operating expenses and three types of costs for agricultural science and technology are favorable to farmers' income,while expenditure in agricultural capital construction and rural relief costs hinder increase of farmers' income.The results of pulse response analysis indicate that the change in support of agricultural production and various agricultural operating expenses have positive impact on farmers' net income,and the impact is greater and greater from the second year;the response of expenditure in agricultural capital construction and rural relief cost is positive in the beginning and starts to fluctuate from the third year;the pulse response of three types of costs for agricultural science and technology is negative,lasts about five periods,and then turns to positive impact.Finally,combining characteristics of China's financial support for agriculture,it concludes that the scale,proportion and structure of financial support for agriculture are quite improper.

Analysis and Prediction of Residents' Income Gap in Poverty-stricken Areas of Yunnan Province

Taking Ludian County in Zhaotong City of Yunnan Province for example,according to the data on residents'income gap in Ludian County during the period 2002-2011,we analyze the residents'income gap in Ludian County,and offer the forecast value of residents'income gap in Ludian County during the period 2012-2015,using Compertz curve model and Eviews software for fitting.The forecast value shows that the residents'income gap will continue to widen in Ludian County.Finally we put forth the recommendations for bridging the residents'income gap in Ludian County,in order to provide a reference for settling the problems concerning residents'income gap in other state-level povertystricken counties of Yunnan Province.

The Study on Industrial Structure Adjustment of Farmer Economic Net Income Doubled in Mountain Area

The aim was to study the main industry effect the double of the per capi- ta net income of farmers economic. The relation between six industry net income per capita income of farmers including grain, animal husbandry, flue-cured tobacco, walnut, long-term labor expot, seasonal labor export and the net income of farmers per capita in the Wazitian Village of Baoshan, Yunnan was studied by means of the effect main industry doubled net income of farmers per capita economic and the grey correlation analysis. The correlation degree of six industry and the net income of farmers per capita economic was long-term labor export〉seasonal labor export〉 walnut〉grain〉animal husbandry〉flue-cured tobacco. The pillar industry affecting the net income of farmers per capita economic was long-term labor export, seasonal la- bor export and walnut. The study provided the scionce theoretical basis and method of support for net income per capita economic multiplier of farmers in Baoshan, Yunnan province and even a similar low latitude mountain plateau.

Analysis of Types and Changes of Village-level Economy in Rural Gongyi City, Henan Province Since 1990

Based on the research on the rural living standard in China in terms of annual net income per capita, we de-fine six types of village-level economy, i.e. "to be extremely poor", "to make a basic living", "to dress warmly and eat one's fill", "to try to enrich (to disengage poverty)", "to be well-off" and "to be affluent". The data of average annual net income of all the 292 villages between 1990 and 2004 in rural Gongyi City, Henan Province were collected, veri-fied and classified. By using standard deviation, coefficient of variation and regression analysis, it is found that the Gongyi's rural economy has boosted up remarkably from the relative-poverty and absolute-poverty stages in 1990 to the well-off in 2004. However, the absolute differences between villages present a trend of enlargement, while the rela-tive differences fluctuating. On the other hand, spatial analysis of village-level economy shows that most villages with relatively high economic development level were located along national expressway and most villages with abso-lute-poverty lay in remote mountainous areas in 1990. Since the 1990s, the rapid urbanization and industrialization have had strongly positive effects on rural economic growth. Initial economic foundation, natural resources and tradi-tional techniques also contribute to village economy. From the perspective of geography, villages with location advan-tages, such as near urban center or industrial parks, have more chances for their economic development and the "core-periphery" economic structure has been presented in the process of rural development.

How did the price and income elasticities of natural gas demand in China evolve from 1999 to 2015? The role of natural gas price reform

As a cleaner,high-efficiency,and low-carbon fuel,natural gas has been an important fuel resource for China.To achieve a substantial increase in natural gas demand,China has sought to reform its natural gas pricing mechanism.Employing a set of unbalanced panel data for China’s 30 provinces covering 1999-2015,this study aims to estimate the evolving price and income elasticities of natural gas demand and explore the effect of natural gas price reform in China.For this purpose,a series of econometric techniques allowing for cross-sectional dependence and slope homogeneity is utilized.The results suggest that although natural gas demand in China still lacks negative price elasticity,the phenomenon is improving.Moreover,the estimates suggest that natural gas demand in China is indeed becoming increasingly sensitive to income changes.Our estimates also provide strong evidence in favor of the effect of natural gas price reform on the change in price elasticity as the price elasticity decreases in five of the seven regions.In addition,the results indicate large variations in the change in price and income elasticities of natural gas demand across China’s regions.Natural gas demand is becoming more price inelastic in Southwest China and Northwest China,while such demand in North China and East China responds less sensitively to income changes.These findings offer several policy suggestions for the reform of China’s natural gas market at the national and regional levels.

Developing strategy for rural transformation to alleviate poverty in Pakistan:Stylized facts from panel analysis

Sustainable income growth and poverty reduction remain critical challenges at the forefront of research in Pakistan,particularly in rural areas.To overcome these challenges,the role of rural transformation(RT)has emerged and gained importance in recent years.The present study is based on district-level data and covers the period from 1981 to 2019.The study attempts to quantify the role of rural transformation in boosting rural per capita income and alleviating rural poverty in the country.The study also aims to explore the impact of stages of rural transformation on rural per capita income and rural poverty alleviation.The empirical findings reveal that rural transformation(RT_(1)and RT_(2))is essential in enhancing rural per capita income and alleviating rural poverty.The role of the share of high-value crops(RT_(1))is more pronounced than the share of non-farm employment(RT_(2))in boosting rural per capita income and poverty alleviation.The trend of larger contribution of RT_(1)to enhance rural per capita income also continued at 2nd stage of rural transformation.In the case of poverty reduction,at 3rd stage of rural transformation,the role of RT_(2)is dominant.Our results indicate that districts at higher stages of rural transformation(both RT_(1)and RT_(2))tend to correlate positively with increased rural per capita income and reduced poverty rates,suggesting that progress in rural transformation is associated with improved economic conditions.However,it is important to note that this correlation does not necessarily imply a direct causal relationship between rural transformation and these economic outcomes;other factors may have influenced this relationship.In addition,the welfare impacts are more noticeable among the districts where a simultaneous shift from grain crops to cash crops and from farm employment to non-farm employment is observed.The study provides baseline information to learn experiences from fast-growing districts and to replicate the strategies in other districts,which boosts the RT process that may increase rural per capita income and enhance poverty reduction efforts.

Economic Viability of Smallholder Agroforestry and Beekeeping Projects in Uluguru Mountains, Tanzania: A Cost Benefit Analysis

Agroforestry and beekeeping are widely promoted as prospective Nature- Based Income Generating Activities (NIGAs) to improve livelihoods while at the same time enhancing biodiversity conservation in degrading agro-ecologies. These activities can diversify and increase famers’ incomes and support instinctive biota and fauna resilience. However, evidence to showcase and compare their long-term benefits is scant. We use the case of Uluguru Mountains in Tanzania to evaluate and compare viability of agroforestry and beekeeping projects using the Cost Benefit Analysis (CBA) approach. The results of analysis yielded positive NPVs for both agroforestry and beekeeping projects at discount rates not higher than 8.2% and 8.5% respectively. Overall, the comparison of economic viability between agroforestry and beekeeping projects revealed that the former was relatively more profitable than the later in terms of both the NPV and Benefit Cost Ratio (BCR) criteria. However, the Internal Rate of Return (IRR) for beekeeping was slightly higher than that of agroforestry. Yet, we underscore the fact that these two projects can jointly be implemented to enhance livelihoods of farmers and support biodiversity conservation in the study area and other parts with similar agro-ecologies in developing countries. However, farmers in these agro-ecologies need to be supported by governments and non-government development partners in terms of training and inspiration to shift from orthodox farming to sustainable NIGAs.

The Empirical Research of Relationship between Consumption and Income for Chinese Urban Residents

This paper studied the clustering analysis of panel data, the specification test of panel data model and its parameter estimation. By carrying out clustering analysis on panel data, we finally decided to study the relationship of Chinese urban residents’ eight income levels between consumption and income from 2007 to 2012. Based on analysis of covariance in panel data model, we built the variable coefficient panel data model and then estimated the model parameters. In this work, we can identify the relationship between consumption and income in recent years. According to the estimation results, we drew the conclusion that income disparities have important influence on urban residents’ consumption behavior.

Component Analysis and Calculation for Social Benefits of UHV Assessment

With the rapid development of the UHV power grid, evaluation of the economic and social benefits of the UHV power grid is conducive to guiding the planning and construction of UHV power grid. At present economic benefit evaluation system of the UHV power grid is driving to maturity stage on the whole at home and abroad, but it invariably tends to regard social benefits as part of economic benefits, without evaluating social benefit separately. The social benefit evaluation model of UHV power grid is built in case of sufficient investigation. The differentials between social benefit and social cost are calculated respectively by three kinds of solutions according to the constructed social cost evaluation index system and social benefits evaluation index system, conclusion that UHV power grid transmission has better social benefits can be reached by contrastively analyzing the social three kinds of solutions corresponding to benefits. At last, the evaluation model and method are verified and analyzed through the analysis of engineering projects.

Factors Affecting the Income of Farmers

Based on the introduction of factors affecting the income level of farmers in China,a total of 31 provinces,autonomous regions and municipality cities are taken as samples to select 13 factors affecting the income level of farmers,which are arable land area(X1),disaster area(X2),effective irrigation area(X3),fertilizer application(X4),mobile phone(X5),personal computer(X6),people joining in the new rural cooperative medical care(X7),rural investment(X8),household-use machine(X9),agricultural product price(X10),proportion of labor force with above junior high school education(X11),rural delivery route(X12),and rural electricity consumption(X13).At the same time,factor analysis method is used to analyze the factors affecting the income level of farmers.Result shows that common factors affecting the income of farmers are the agricultural production factor F1,the expanded reproduction factor F2,the information use factor F3,and the output reduction factor F4.At present,education degree of farmers and ability of farmers in grasping information have relatively great impact on the income of farmers,and can effectively promote the income growth of farmers.Scores of F1 in Henan,Shandong and Hebei are generally higher;Jiangsu,Guangdong,Zhejiang and Shandong Provinces have relatively high scores of F2;Shanghai,Beijing and Guangdong have relatively high scores of F3;and Hunan,Hubei and Xinjiang have relatively high scores of F4.Finally,countermeasures are put forward to improve the income of farmers based on empirical study.

Regional Agricultural Input-Output Model and Countermeasure for Production and Income Increase of Farmers in Southern Xinjiang,China

Agricultural input and output status in southern Xinjiang,China is introduced,such as lack of agricultural input,low level of agricultural modernization,excessive fertilizer use,serious damage of environment,shortage of water resources,tremendous pressure on ecological balance,insignificant economic and social benefits of agricultural production in southern Xinjiang,agriculture remaining a weak industry,agricultural economy as the economic subject of southern Xinjiang,and backward economic development of southern Xinjiang.Taking the Aksu area as an example,according to the input and output data in the years 2002-2007,input-output model about regional agriculture of the southern Xinjiang is established by principal component analysis.DPS software is used in the process of solving the model.Then,Eviews software is adopted to revise and test the model in order to analyze and evaluate the economic significance of the results obtained,and to make additional explanations of the relevant model.Since the agricultural economic output is seriously restricted in southern Xinjiang at present,the following countermeasures are put forward,such as adjusting the structure of agricultural land,improving the utilization ratio of land,increasing agricultural input,realizing agricultural modernization,rationally utilizing water resources,maintaining eco-environmental balance,enhancing the awareness of agricultural insurance,minimizing the risk and loss,taking the road of industrialization of characteristic agricultural products,and realizing the transfer of surplus labor force.

A Study on the Factors Influencing the Income Gap between Urban and Rural Areas Based on State-space Model

The increasingly widening income gap between urban and rural areas is affected by many factors. Using the stepwise regression analysis,we find that urbanization level,socio-economic development,education level,financial development scale and financial development efficiency have the greatest impact on the income gap between urban and rural areas. By cointegration test,it is found that there is a long-term equilibrium relationship between these five variables and the income gap between urban and rural areas. We build the state-space model to research the dynamic impact of these factors on the income gap between urban and rural areas. The results show that by improving the level of urbanization,we can effectively narrow the income gap between urban and rural areas,while socio-economic development,the improvement of education level,expansion of financial development scale and financial development efficiency all significantly expand the income gap between urban and rural areas.

The Changes of Fiscal Agriculture-Supporting Expenditure and Farmers' Income Based on Grey Correlation Theory

According to the relevant data of China Statistical Yearbook and Chinese Rural Statistical Yearbook in the year of 2009,the changes of grey correlation degree of farmers' net income,various items of incomes,national gross agriculture-supporting expenditure and various items of expenditures,farmers' net income and various items of fiscal agriculture-supporting expenditure in the Eighth Five-Year Plan,Ninth Five-Year Plan and Tenth Five-Year Plan by using grey correlation degree and the by choosing seven indicators covering income from wage and salary,income from household business,transfer income and property income,agricultural production-supporting expenditure,agricultural basic construction expenditure,expenses of three items of agricultural technology and the fee of rural relief.The results show that the grey correlation degree of each time period and household net income shows the downward trend;from overall perspective,the grey correlation degree of national gross agriculture-supporting expenditure,agricultural basic construction expenditure and agricultural production-supporting expenditure shows the descending trend;the grey correlation degree of fiscal agricultural supporting expenditure and the expenditure of three items of agricultural technology and fee of rural relief show the upward trend;the influence of agricultural production-supporting expenditure on farmers' income shows downward trend;the influence of agricultural basic construction on farmers' income shows upward trend;the fee of rural relief play an active role in the promoting the farmers' income increase;the role played by fee of rural relief in promoting farmers' income increase should be further increased;the increase of farmers' income shows great reliance on agricultural science and technology.In the end,the relevant suggestions on establishing stable increase mechanism of fiscal agricultural support and insisting on the dynamic adjustment of the structure of fiscal agricultural supporting capital are put forward.

Analysis of the current situation and demand of green food industry in China

With the high-speed development of economy in China, people require higher and higher quality of food, and accidents of food safety in recent years have been reported, causing the promotion of consumption demand on green food. The paper firstly investigates the current situation of green food industry at home and abroad, then focuses on the analysis of the demand of green food market. We study the balance between the green food and the per capita disposable income in short and long term, through vector auto regression model and co-integration analysis on the income elasticity of demand. The paper shows that, the relationship between green food consumption and per capita disposable income is "bullwhip effect", which means that the per capita disposable income have a significant role to the green food sales in the short term, but no stable co-integration relationship in the long term.

The Analysis of Human Development Index (HDI) for Categorizing the Member States of the United Nations (UN)

To categorize the nations to reflect the development status, to date, there are many conceptual frameworks. The Human Development index (HDI) that is published by the United Nations Development Programme is widely accepted and practiced by many people such as academicians, politicians, and donor organizations. However, though the development of HDI has gone through many revisions since its formulation in 1990, even the current version of the index formulation published in 2016 needs research to better understand and to gap-fill the knowledge base that can enhance the index formulation to facilitate the direction of attention such as release of funds. Therefore, in this paper, based on principal component analysis and K-means clustering algorithm, the data that reflect the measures of life expectancy index (LEI), education index (EI), and income index (II) are analyzed to categorize and to rank the member states of the UN using R statistical software package, an open source extensible programming language for statistical computing and graphics. The outcome of the study shows that the proportion of total eigen value (i.e., proportion of total variance) explained by PCA-1 (i.e., first principal component) accounts for more than 85% of the total variation. Moreover, the proportion of total eigen value explained by PCA-1 increases with time (i.e., yearly) though the amount of increase with time is not significant. However, the proportions of total eigen value explained by PCA-2 and PCA-3 decrease with time. Therefore, the loss of information in choosing PCA-1 to represent the chosen explanatory variables (i.e., LEI, EI, and II) may diminish with time if the trend of increasing pattern of proportion of total eigen value explained by PCA-1 with time continues in the future as well. On the other hand, the correlation between EI and PCA-1 increases with time although the magnitude of increase is not that significant. This same trend is observed in II as well. However, in contrast to these observations, the correlation between PCA-1 and LEI decreases with time. These findings imply that the contributions of EI and II to PCA-1 increase with time, but the contribution of LEI to PCA-1 decreases with time. On top of these, as per Hopkins statistic, the clusterability of the information conveyed by PCA-1 alone is far better than the clusterability of the information conveyed by PCA scores (i.e., PCA-1, PCA-2, and PCA-3) and the explanatory variables. Therefore, choosing PCA-1 to represent the chosen explanatory variables is becoming more concrete.