Analysis of Influencing Factors on Fruit Consumption of Urban and Rural Residents in Beijing

In light of the rapid expansion of China s economy,there has been a notable shift in the consumption patterns of urban and rural residents.This is evident in the increased consumption of agricultural products,with fruit consumption representing a particularly pronounced trend.The 2023 Beijing Consumption Statistics indicate that demand for fruit is increasing,accompanied by heightened competition for quality and brands.The paper is based on research that examines the current situation of fruit consumption among urban and rural residents in Beijing.The results indicate that when urban and rural residents in Beijing purchase fruits,price is the most significant factor influencing fruit consumption.Taste,appearance,and variety are also considered to be important influencing factors,while the influence of factors such as fruit type,consumption pattern,and fruit brand is relatively minor.

Particle residence time distribution and axial dispersion coefficient in a pressurized circulating fluidized bed by using multiphase particle-in-cell simulation

The particle residence time distribution(RTD)and axial dispersion coefficient are key parameters for the design and operation of a pressurized circulating fluidized bed(PCFB).In this study,the effects of pressure(0.1-0.6 MPa),fluidizing gas velocity(2-7 m·s^(-1)),and solid circulation rate(10-90 kg·m^(-2)·s^(-1))on particle RTD and axial dispersion coefficient in a PCFB are numerically investigated based on the multiphase particle-in-cell(MP-PIC)method.The details of the gas-solid flow behaviors of PCFB are revealed.Based on the gas-solid flow pattern,the particles tend to move more orderly under elevated pressures.With an increase in either fluidizing gas velocity or solid circulation rate,the mean residence time of particles decreases while the axial dispersion coefficient increases.With an increase in pressure,the core-annulus flow is strengthened,which leads to a wider shape of the particle RTD curve and a larger mean particle residence time.The back-mixing of particles increases with increasing pressure,resulting in an increase in the axial dispersion coefficient.

Spatial Morphology Evolution Characteristics Analysis of the Resident Population Distribution in Henan, China

The population spatial distribution pattern and its evolving pattern play an important role in regional allocation of social resources and production factors, formulation of regional development plans, construction of a better life society, and promotion of regional economic development. Based on the resident population statistics data of Henan province from 2006 to 2021, with county as the basic study unit, the paper studies the spatial morphology characteristics and its evolution patterns of resident population distribution, by using spatial analysis methods such as population distribution center, standard deviation ellipse, and spatial auto correlation analysis. The results show that: the resident population spatial distribution shows unbalanced state, the population agglomeration areas mainly distribute in the northeast part and north part, where the resident population growth rate is significantly higher than other regions, over time, this trend is gradually becoming significant. The resident population distribution has a trend of centripetal concentration, with the degree and trend of centripetal gradually strengthening. The resident population distribution has obvious directional characteristics, but the significance is not high, the weighted resident population average center is approximately located at (4.13740˚N, 113.8935˚E), and the azimuth of the distribution axis is approximately 11.19˚. The population distribution has obvious agglomeration characteristics, with the built-up areas of Zhengzhou and Luoyang as their centers, where have a significant siphon effect on the surrounding population. The southern and southwestern regions in the province form a relatively stable belt area of Low-Low agglomeration areas.

The Empirical Analysis of the Impacts of Income Distribution Gap on Consumption Demand:Based on the Statistic Data of Chinese Urban Residents in 2000-2010

This paper analyzes the impact of income distribution gap on consumption demand from a theoretical view,and draws the conclusion that there is an inverse relationship between income distribution gap and consumption demand.Then,the paper finds that the existing widening income distribution gap in China has a negative impact on consumption demand,but this is not the key factor for the insufficient consumption demand because of the low level of per capital income.At last,it suggests that governments should improve the income level of entire residents and adjust income distribution structure simultaneously.

Research on the Influence of the Digital Economy on Transforming Consumption Behavior Among Residents

Drawing on the essence of Marxist consumer economy theory,this paper argues that the innovations of digital technology can effectively facilitate the integration of economies of scale,economies of scope,and long-tail economies.Through careful analysis of the practical case of Xiaomi’s business ecosystem,this paper highlights the notion that data serve as both a key production factor and a critical consumption carrier within the context of digital consumption.We thoroughly investigated the influence of the digital economy on transforming consumption behavior among residents by analyzing a range of typical business cases and the latest data that triggered this transformation.Based on the analysis,this paper argues that such transformation can lead to the platform agglomeration effect,the inclusive diffusion effect,and the push-pull effect by highlighting the specific ways in which the digital economy disrupts the consumption-production model and contributes to the upgrading and transformation of traditional industries.Additionally,this paper demonstrates how the digital economy can expand and promote emerging business forms,providing insights into the ways in which digital innovation is reshaping the contemporary economic landscape.This study intends to provide several policy suggestions that can expand domestic demand,promote consumption,drive the high-quality and integrated development of China’s digital and real economy,and position China as a strong cyber and consumer nation by using digitalized consumption as a starting point.

Change Trend of Chinese Urban Residents' Food-nitrogen Consumption

Change trend of Chinese urban residents＇ per capita food-nitrogen annual consumption from 1981 to 2007 was analyzed and predicted by using ARIMA time-series model in order to reveal the change of urban food-nitrogen consumption during the China＇s urbanization process.Results showed that after 1980s,the annual consumption of Chinese urban residents＇ food-nitrogen had a change trend of ＂ increase-decrease-increase＂ and generally presented as a slight increasing trend;With the acceleration of rapid economic development and urbanization process,Chinese urban residents＇ food-nitrogen consumption will still keep a rising trend in future,and also has a large rising space.

Research on Interpolation Method for Missing Electricity Consumption Data

Missing value is one of the main factors that cause dirty data.Without high-quality data,there will be no reliable analysis results and precise decision-making.Therefore,the data warehouse needs to integrate high-quality data consistently.In the power system,the electricity consumption data of some large users cannot be normally collected resulting in missing data,which affects the calculation of power supply and eventually leads to a large error in the daily power line loss rate.For the problem of missing electricity consumption data,this study proposes a group method of data handling(GMDH)based data interpolation method in distribution power networks and applies it in the analysis of actually collected electricity data.First,the dependent and independent variables are defined from the original data,and the upper and lower limits of missing values are determined according to prior knowledge or existing data information.All missing data are randomly interpolated within the upper and lower limits.Then,the GMDH network is established to obtain the optimal complexity model,which is used to predict the missing data to replace the last imputed electricity consumption data.At last,this process is implemented iteratively until the missing values do not change.Under a relatively small noise level(α=0.25),the proposed approach achieves a maximum error of no more than 0.605%.Experimental findings demonstrate the efficacy and feasibility of the proposed approach,which realizes the transformation from incomplete data to complete data.Also,this proposed data interpolation approach provides a strong basis for the electricity theft diagnosis and metering fault analysis of electricity enterprises.

Research on Consumption Structure of Rural Residents in Gansu Province Based on ELES Model

By using cross-section data on consumption structure of rural residents in Gansu Province in 2007 and 2008,this paper adopts ELES model to conduct empirical analysis on consumption structure of rural residents in Gansu Province.It indicates that in the current consumption structure of rural residents in Gansu Province,food expenditure is still at the most important and basic level;the overall consumption level of rural residents in Gansu Province is not high;at present,the consumption of rural residents in Gansu Province still hinges in a large measure on income,vulnerable to the price fluctuation.Consequently,increasing farmers' income and stabilizing the level of commodity price,turns out to be a foundation as well as an important approach to improve consumption structure of rural residents in Gansu Province.

Comprehensive Evaluation on Consumption Structure of Rural Residents with Principal Component Analysis in China

In order to make analysis on consumption structure of rural residents,the paper makes a principle component analysis on consumption expenditure per capita of rural residents in different areas of 2009 based on statistics of China statistical yearbook of 2010.Selecting a principal component,the paper arranges 31 provinces in China in order.Shanghai lists the 1st place with highest marks;coastal provinces in southeastern part,the Northeast,Beijing and Tianjin are at the top;the northern and central parts with Hebei,Shanxi,Hubei as representatives scores minus which is a little lower than that of average;the western part,such as Guizhou,Xizang,Gansu and so on are in far behind.The paper also makes analysis on the consumption structure of rural residents and proposes suggestions on how to accelerate consumption of rural residents.

Empirical Analysis of Binary Logistic Model for the Influencing Factors of the Chinese Urban and Rural Residents' Woolen Products Consumption—Based on Questionnaires of 513 Urban and Rural Residents in 16 Provinces

Consumption of woolen products is the last link of wool industry chain,and it concerns whether the value of woolen products can be realized smoothly. Based on 513 questionnaires, it uses descriptive statistical analysis and binary logistic model to analyze the consumption and influencing factors of woolen products. The results indicated that residents in the middle region were more inclined to purchase woolen sweater compared to the residents in the east region. Urban residents were more inclined to purchase woolen sweater compared to the rural residents. Personal income,satisfaction degree of quality, and style have significant positive impact on whether residents purchase woolen sweater, and purchasing quantity of cotton sweater has significant negative impact on whether residents purchase woolen sweater.

The Characteristics,Structure and Trend of the Chinese Urban and Rural Residents' Clothing Consumption

As one of the necessities of life,clothing is on the important position in the daily life of urban and rural residents. Firstly,the paper carries out the descriptive statistical analysis about clothing consumption expenditures of urban and rural residents; secondly,based on questionnaires of 543 urban and rural residents in 16 provinces,this paper analyses structure and trend of urban and rural residents' clothing consumption. The results show that per capita clothing consumption expenditure of urban and rural residents present growth on the whole,but the gap between the two is gradually expanding; clothing consumption expenditure have differences in different regions; the differences of different income levels are also obvious; urban and rural residents' clothing consumption structure tends to be more diversified,cotton goods and chemical fiber goods is the main variety of clothing consumption,including down feather,cotton and chemical fiber is the main variety of coat,and cotton,chemical fiber and wool is the main variety of suit and knitwear; cotton goods,down goods and woolen goods will be the fiber goods that urban and rural residents buy more in the future; clothing consumption demand will pursue for band,comfort and personality; female residents will still be the main force of clothing consumption. Finally,the paper puts forward some recommendations on the basis of analysis results.

Urban Residents' Consumption Risk Perception about the Dairy Products

Based on the continuous downturn puzzle of Chinese dairy consumption,with the perception of consumption risk as a starting point,the paper deeply analyzes the main factors which cause the downturn of dairy product consumption of Chinese residents. The results show that the income elasticity of dairy consumption of Chinese urban residents is still notable; the occurrence of dairy safety incidents improves the perception of consumption risk,and accordingly it reduces the promoting role of income to the dairy consumption; the safety incident is the key factor which leads to the fall of dairy consumption of urban residents in recent years,and the perception of consumption risk of lower income group is clearly higher than that of higher income group.

Empirical Study on Effects of Different Types of Urbanization on Consumption Structure of Rural Residents in China

In the process of urbanization,there are problems of decline in rural population,shrinkage of rural area,and constant increase in the per-capita net income of rural residents. These problems have brought about new characteristics and changes to the consumption structure of rural residents. This paper divided the urbanization into population urbanization,industrial urbanization and land urbanization. Using the panel data of 31 provinces in 2004-2013,it established the dynamic panel model and analyzed the effects of different types of urbanization on the consumption structure of rural residents. Results indicated that population urbanization exerts a negative effect on development-oriented consumption expenditure of rural residents,while it exerts a positive effect on enjoyment consumption expenditure; the industrial urbanization exerts a negative effect on the consumption expenditure of rural residents,while it exerts a positive effect on clothing and transportation communication consumption of rural residents; land urbanization exerts a negative effect on medical care expenditure in enjoyment consumption of rural residents. In view of these problems,it came up with recommendations,including stimulating the development of rural consumer market,liberating the consumption potentiality of rural areas,making clear emphasis points of different types of urbanization,avoiding promoting the urbanization in a blind manner,and adjusting the development of different types of urbanization on the basis of the consumption demands of rural residents.

Empirical Analysis on the Relations between Rural Residents' Consumption and Economic Growth——A Case of Liaoning Province

Liaoning is a granary province with a large agricultural population and great market potential. Expanding rural residents' consumption becomes a necessity for enlarging domestic demand, solving three agriculture problems and promoting sustainable and rapid economic development. The research shows that since invigorating old industrial base in Liaoning, the contribution rate of rural residents' consumption to economic motivation is low and unstable, which has become one of the choke points for the development of economy. By using the grey correlation method, the influences of rural residents' consumption in different periods to GDP per capita are analyzed, the results show that the consumption level of rural residents were increasing, but their contribution rate on economic growth showed the descending tend. The residential expenses stay in the major position of consumption expenses; the education and entertainment products and service consumption play an important role; the growth of transportation and telecommunication is slow; the expenses on medical care are low and its contribution rate on economic growth is relatively weak. The countermeasures on developing rural economy, increasing rural residents' income, improving rural consumption environment, accelerating rural infrastructure construction, constructing and perfecting rural social security system and expanding rural consumption credit market are put forward to expand rural residents' consumption demand and realize the sustainable development of economy.

Research on Dairy Consumption of Rural Residents in Yanqing District of Beijing

Taking the rural residents in Yanqing District of Beijing as the research object,through field investigations and interviews,it is found that the main characteristics,income and expenditure level,preference and cognitive level of rural residents are the factors that affect the dairy consumption behavior of rural residents.Using the bivariate regression model for empirical analysis,it is concluded that rural residents'occupation,monthly average income,purchase expenditure and attitude towards dairy safety have a significant impact on rural residents'dairy consumption behavior,and then relevant constructive suggestions are put forward to guide rural residents'balanced consumption.

Factors Influencing Urban Residents' Tea Consumption Habits: An Empirical Study of Hangzhou City

Based on the survey data concerning residents in Hangzhou City, we analyze the main factors influencing consumers' spending decisions, using Probit model. The results show that gender, age, and personal income have a significant positive effect on whether to drink tea; the degree of understanding of the tea, and the number of acquaintances drinking water also have a significant positive effect on whether to drink tea; but individual career, unit characteristics, and educational level have no significant positive effect on whether to drink tea. This research conclusion can provide microscopic evidence for the tea industry's healthy development and formulation of marketing strategies; at the same time, provide a reference for marketing of the other hobby products.

Empirical Analysis of the Role of Urbanization in Driving the Growth of Rural Residents' Consumption

Urbanization is a powerful engine for the growth of rural residents' consumption in China.This paper selects the cross-sectional data concerning 31 provinces( municipalities) in China during 2005-2012,and builds the panel data model of influence of urbanization on rural residents' consumption in China for empirical analysis.The results show that there is a significant positive correlation between urbanization and rural residents' consumption level.From the mechanism,urbanization drives the growth of rural residents' consumption by improving rural residents' income level and changing rural residents' consumption concept.However,the uncertainties of rural residents' income inhibit the growth of rural residents' consumption.Therefore,it is necessary to accelerate the development of urbanization,broaden farmers' income channels,improve the consumer environment and accelerate the reform of the household registration system to further activate the rural consumer market.

Consumption Status of Rural Residents in Shanxi Province

After the analysis on the consumption changes of rural residents in Shanxi Province during the 30 years since the reform and opening up,it indicates that,their consumption scale has been expanding,the consumption level has been greatly promoted,the consumption structure has been gradually becoming reasonable and the consumption quality has been obviously improved.An analysis is also conducted on the influencing factors constraining the consumption demand of rural residents,mainly including the farmers' lack of capacity to increase income and inadequate support for consumption;heavy burdens on farmers and instable income expectation;bad consumption environment and increasing constraints on consumption demand;less consumption goods suitable for farmers;unsound security system which affects the immediate consumption of farmers;backward consumption concept which restricts the improvement of consumption level.At last some corresponding countermeasures and suggestions are proposed,namely,maintaining the constant income growth of farmers so as to improve their purchasing power;establishing modern circulation network in rural areas so as to ensure a smooth channel for commodity market;enhancing the rural infrastructure construction so as to improve the consumption environment of rural residents;producing marketable commodities so as to meet rural market demand;perfecting social security system so as to improve the consumer tendency of farmers.

Analysis and Prediction of Rural Residents’ Living Consumption Growth in Sichuan Province Based on Markov Prediction and ARMA Model

I select 32 samples concerning per capita living consumption of rural residents in Sichuan Province during the period 1978-2009. First, using Markov prediction method, the growth rate of living consumption level in the future is predicted to largely range from 10% to 20%. Then, in order to improve the prediction accuracy, time variable t is added into the traditional ARMA model for modeling and prediction. The prediction results show that the average relative error rate is 1.56%, and the absolute value of relative error during the period 2006-2009 is less than 0.5%. Finally, I compare the prediction results during the period 2010-2012 by Markov prediction method and ARMA model, respectively, indicating that the two are consistent in terms of growth rate of living consumption, and the prediction results are reliable. The results show that under the similar policies, rural residents' consumer demand in Sichuan Province will continue to grow in the short term, so it is necessary to further expand the consumer market.

Current Situation and Reasonable Construction of Consumption Value of Rural Residents in Kongpo

On the basis of analyzing the consumption status of rural residents in Kongpo,it can be seen that the concept of consumption value of rural residents in Kongpo tends to be cautious in daily consumption. There also exist premature consumption and excessive consumption that are centralized,seasonal and religious. This paper aims to put forward countermeasures and suggestions for guiding the rural residents in Kongpo to develop a scientific concept of consumption value in the light of the factors that restrict the formation of scientific consumption value among rural residents.