Consumption Level Of Residents Research Articles

The Acceleration or Suppression: Aging in China

The article aims to verify whether the aging population suppresses the economic consumption level of Chinese residents, depending on the economic situation in China. To diversify the sample, the work searched the situation of expenditure of countries in China. Using daily data over the period 2014-2021, the work estimates the correlation between the elderly dependency ratio and economic consumption through the expenditure approach of GDP and the Hodrick and Prescott Filter model. The work adds cyclical components to the correlation equation, indicating the manner of detrending to test the objective outcome of the GDP index. The work concludes that the GDP index is closely connected with medical insurance fund expenditure, leading to the working population paying more attention to healthcare problems. The level of the elderly dependency ratio depends on the medical insurance fund expendituresocial pension insurance funds, and government health expenditure.

Digital financial inclusion, rural consumption and economic growth in China

AbstractIn recent years, the continuous development of China's digital inclusive finance has provided favorable conditions for improving the consumption level of domestic residents and stimulating national economic growth. Based on the theory of financial development and deepening, this paper studies the mechanism and effect of digital inclusive finance on rural residents’ consumption and economic growth. The results show that (1) the development of digital inclusive finance can directly promote economic growth. Specifically, the breadth of coverage, the depth of use and the degree of digitization of digital inclusive finance all contribute to economic growth. (2) Digital inclusive finance significantly promotes rural residents’ consumption, and rural residents’ consumption significantly promotes economic growth, that is, digital inclusive finance can indirectly promote economic growth by promoting rural residents’ consumption. (3) When digital inclusive finance is at different levels of development, rural residents’ consumption has different effects on economic growth. The higher the development level of digital inclusive finance, the better the promotion effect of rural residents’ consumption on economic growth. Therefore, we should continue to promote the development of digital inclusive finance, give full play to the inclusiveness and convenience of digital inclusive finance, and contribute to the promotion of rural residents’ consumption and economic growth.

Efficiency of construction waste and carbon reduction in the construction industry: based on improved three stage SBM-DEA model in China

PurposeReducing construction waste generation and carbon emission in the construction industry is crucial for the “dual carbon” goal. Evaluating the efficiency of reducing construction waste generation and carbon emission in the construction industry at the regional level is an important evaluation basis for the sustainable development of the construction industry. It provides a basis for formulating construction waste and carbon reduction policies tailored to local conditions and comprehensively promote the sustainable development of the construction industry.Design/methodology/approachA three stage SBM-DEA model based on non-expected outputs is proposed by combining the SBM-DEA model with the SFA method. The proposed model is used to evaluate the efficiency of construction waste and carbon reduction in the construction industry in 30 regions of China from 2010 to 2020. Moreover, the study explores the impact of environmental variables such as urbanization level, proportion of construction industry employees, resident consumption level, and technological progress.FindingsFrom 2010 to 2020, the efficiency of construction waste and carbon reduction in China’s construction industry has been increasing year by year. Provinces with higher efficiency of construction waste and carbon reduction in the construction industry are mainly concentrated in the eastern coastal areas, showing an overall pattern of “East>West>Northeast>Middle”. There is a clear correlation between the level of urbanization, the proportion of construction industry employees, residents’ consumption level, technological progress, labor input, machinery input, and capital investment. The construction waste and carbon emission efficiency of the construction industry in various provinces is greatly influenced by environmental factors.Practical implicationsThe research results provide policy makers and business managers with effective policies for reducing construction waste generation and carbon emission in the construction industry, especially circular economy policies. To provide empirical support for further understanding the connotation of construction waste and carbon reduction in the construction industry, to create innovative models for construction waste and carbon reduction, and to promote the multiple benefits of construction waste and carbon reduction in the construction industry, and to provide empirical support for countries and enterprises with similar development backgrounds in China to formulate relevant policies and decision-making.Originality/valueThe construction industry is a high investment, high energy consumption, and high pollution industry. This study uses the three stage SBM-DEA model to explore the efficiency of construction waste and carbon reduction in the construction industry, providing a new perspective for the evaluation of sustainable development in the construction industry, enriching and improving the theory of sustainable development.

A Study of China's Electricity Supply Based on Correlation and Time Series Modeling

In this study, the relationship between electricity supply and various indicators is deeply explored through multi-factor correlation analysis, quantitative analysis and prediction modeling. First, the Pearson correlation coefficient analysis was used, and it was revealed that electricity supply is significantly and positively correlated with gross domestic product (GDP), per capita GDP, urban population ratio, and consumption level of residents. Subsequently, linear regression methods were used for quantitative analysis, and forecasting models for electricity supply were established, including ARIMA model and Holt-Winters seasonal exponential smoothing model. Finally, the forecast value of China's electricity supply for the next 37 years was derived by synthesizing the forecasting models. The results of this study provide an important reference for optimizing the structure of electric power supply and improving the supply efficiency, and are of guiding significance for the formulation of relevant policies and planning.

Study on Comprehensive Evaluation of Rural Economy in the Context of Rural Revitalisation

Under the rural revitalisation strategy, the research focus on China's rural economy has attracted extensive attention from academics. Based on China's rural economic data from 2012 to 2021, this study explores the impact of the rural revitalisation strategy on the rural economy. By analysing the connotation and characteristics of the rural economy, the three dimensions of economic strength, productivity and living standards of residents involved in the influencing factors are selected. The main factors affecting the rural economy were explored using principal component analysis and entropy value method, and the stability of the rural economy was studied in depth. The results show that agricultural output and the consumption level of rural residents are the main influences on the rural economy, while economic strength has the most far-reaching impact on the stability of the rural economy. This research framework expands the understanding of the development and stability of China's rural economy in recent years, and provides a theoretical basis and policy support for guiding the high-quality development of the rural economy under the strategy of rural revitalisation.

The Impact Mechanism and Strategy Analysis of Green Consumption Behavior of Chinese Residents under the Dual Carbon Target

Consumption is the terminal of carbon emissions, and achieving the "dual carbon" goal cannot be achieved without the joint efforts of consumers. In the context of actively promoting energy conservation, environmental protection, green and low-carbon sustainable development in the whole society, green development is one of the five development concepts in China. Promoting green economic development and improving residents' green consumption level are of utmost importance. How residents, as consumers, can improve their level of green consumption is an urgent issue that needs to be addressed. This article is based on the theory of planned behavior and embeds an analysis of behavioral externalities. It elaborates on the path that residents form green consumption intentions driven by their consumption attitudes, subjective factors, and behavioral control factors, and explains the mechanism by which consumption intentions promote consumption behavior. Finally, policy recommendations are proposed to enhance the green consumption level of Chinese residents, promote green consumption behavior among residents, leverage the protective role of laws and regulations, and enhance the supply of green consumer goods by enterprises, in order to achieve sustainable economic development from the perspective of the "dual carbon" goal.

Research on the Impact of Digital Financial Inclusion on Residents' Consumption Level: Analysis Based on Intermediary Effect Model

This paper selects panel data of 31 provinces and cities in China from 2011 - 2020, constructs an intermediary effect model with income gap as the intermediary variable, and studies the impact and mechanism of digital inclusive finance on residents' consumption level. It is found that digital inclusive finance can significantly promote residents' consumption level. The intermediary effect stepwise regression model shows that digital inclusive finance has a significant contribution to the income gap, which further promotes the increase of residents' consumption level. Heterogeneity analyses show that digital inclusive finance has a more significant effect on promoting the consumption level of residents in the eastern and western regions.

Exploration the Tea Industry Development Strategy --Taking Honey Snow City as an Example

With the development of economic globalization and information technology, the living standard and consumption level of residents have been significantly improved, and tea has become an indispensable thing in people's daily lives. As a leader in the affordable tea industry, Honey Snow City must have its own excellent business model. Taking the case of Honey Snow City, this paper first adopts the SWOT model to analyze its advantages such as low price, high brand recognition and superior geographical location, while its disadvantages include fewer products, obvious seasonality and fierce competition in the tea industry compared with other brands. The threat is that there are more and more competitive brands in the tea industry, the low price of products is difficult to maintain, and the products are easy to imitate and replaced by peers. The opportunity is that Honey Snow City has an excellent staff team, consumers have a high acceptance of the brand, and the main consumer group is a large number of students; Then it analyzes its development strategy, and according to its differentiated strategy development, it can be concluded that its development presents a vertical layout, and then horizontal perfection of the inverted "T" development mode; Finally, the paper studies the optimization strategy of enterprise management under the differentiation strategy, hoping to draw lessons for other businesses in the tea industry and formulate a marketing strategy suitable for their own development.

Application of DCF Model in Enterprise Valuation

The home appliances industry is an important manufacturing industry that reflects the consumption level of Chinese residents. Midea Group is the leading enterprise in the household appliances industry and one of the enterprises with high brand value in China. For Midea Group in the home appliance industry, this paper will apply the DCF model for enterprise valuation. This paper mainly uses the financial information of Midea Group and the discounted cash flow model for enterprise valuation. Then, the advantages and disadvantages of the DCF valuation model are analyzed through practical cases, and the overall valuation process is summarized. The company value of Media that valued by the DCF model is 384,922.89 million RMB. The analysis results show that the DCF model can better reflect the status quo of enterprise value, but in the process of DCF valuation model, it is not easy to predict the accurate amount of future cash flow. It also has limitations in industry and product selection, and its estimation of the risk rate is not accurate enough.

The Influence of Population Aging on the Consumption Level of Urban and Rural Residents

Based on the research on aging and consumption at home and abroad, this paper selected the urban and rural panel data of 31 provinces from 2002 to 2020, and used the fixed-effect model to analyze the impact of population aging on residents' consumption in urban and rural areas of each province. The results show that population aging has a significant inhibitory effect on the consumption level of urban residents and a significant promotion effect on the consumption level of rural residents, and there is obvious regional heterogeneity. Based on the above research, the paper finally puts forward some policy suggestions to promote the consumption of urban and rural residents.

Nonlinear Influence of Digital Economy on Rural Revitalization

By measuring the level of digital economy and rural revitalization in different regions, this paper analyzes the nonlinear impact of digital economy on rural revitalization by using a panel threshold regression model. It is found that when the consumption level of rural residents and digital inclusive finance level are taken as threshold variables, the impact of digital economy on rural revitalization has single and double threshold effects respectively. With the improvement of rural residents’ consumption and digital inclusive finance levels, the digital economy plays an increasingly important role in promoting rural revitalization, showing a rising trend. Further, through grouping regression, it is found that the promotion of digital economy to rural revitalization is only significant in the western region where the economy is relatively backward, but not significant in the central and eastern regions.

A Study on the Combination Prediction of Anhui Residents’ Consumption Level Based on the IOWA Operator

Aims: In order to study the future trend of Anhui residents’ consumption level and predict the consumption level of Anhui residents in the next three years (2022-2024), this paper constructs a combination prediction model based on the induced ordered weighted averaging (IOWA) operator.
 Study Design: This paper selects the national resident consumption level in Anhui province from 2000 to 2021, which covers a period of 21 years. Based on the data, an IOWA operator combination prediction model is constructed using a multiple regression model, ARIMA (2,2,0) model, and machine learning decision tree model. This is a qualitative analytical study which set the sum of squared errors as dependent variables and error value of different single item prediction method as independent variables.
 Place and Duration of Study: This paper selects the national resident consumption level in Anhui Province from 2000 to 2021.
 Methodology: This paper constructs a combination prediction model based on the IOWA operator based on the multiple regression model, ARIMA (2,2,0) model, and machine learning decision tree model. The combination prediction method that minimizes the sum of squared errors is used to predict the consumption level of Anhui residents in the next three years (2022-2024), and the effectiveness of the IOWA operator-based combination prediction model is evaluated.
 Results: This study finds that the prediction accuracy of the IOWA operator-based combination prediction model is generally greater than that of individual prediction models, and the sum of squared errors is generally significantly lower than that of individual prediction models.
 Conclusion: The prediction results show that the consumption level of Anhui residents in the next three years will not fluctuate greatly, but will have a trend of slight increase. The results of this study can be helpful for the government to improve the consumption level of residents in Anhui Province.

Research on China's Consumer Behavior and Government Consumption Policy During the COVID-19 Pandemic

The existence of the novel coronavirus epidemic has severely restricted the offline consumption level of residents and stimulated enthusiasm for online consumption. Consumption preferences have changed, and the government has introduced policies to encourage consumption and support enterprise production. Through searching for data and policy information, this paper explores the changes in residents' consumption behavior after the epidemic and the government's policy to promote consumption. Thus, it can be concluded that residents' consumption behavior changes, namely, offline consumption decreases, online consumption increases substantially, consumption preferences changes, and total expenditure decreases significantly. In order to promote consumption, the government issued consumption coupons and other policies to promote consumer consumption and protect enterprise production.

Spatio-temporal evolution of resources and environmental carrying capacity and its influencing factors: A case study of Shandong Peninsula urban agglomeration

Promoting ecological conservation and high-quality development in the Yellow River basin is an important objective in China's 14th Five-Year Plan. Understanding the spatio-temporal evolution of and factors affecting the resources and environmental carrying capacity (RECC) of the urban agglomerations is critical for boosting high-quality green-oriented development. We first combined the Driver-Pressure-State-Impact-Response (DPSIR) framework and the improved Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) model to evaluate the RECC of Shandong Peninsula urban agglomeration in 2000, 2010 and 2020; we then used trend analysis and spatial autocorrelation analysis to understand the spatio-temporal evolution and distribution pattern of RECC. Furthermore, we employed Geodetector to detect the influencing factors and classified the urban agglomeration into six zones based on the weighted Voronoi diagram of RECC as well as specific conditions of the study area. The results show that the RECC of Shandong Peninsula urban agglomeration increased consistently over time, from 0.3887 in 2000 to 0.4952 in 2010 and 0.6097 in 2020, respectively. Geographically, RECC decreased gradually from the northeast coast to the southwest inland. Globally, only in 2010 the RECC presented a significant spatial positive correlation, and that in the other years were not significant. The high-high cluster was mainly located in Weifang, while the low-low cluster in Jining. Furthermore, our study reveals three key factors—advancement of industrial structure, resident consumption level, and water consumption per ten thousand yuan of industrial added value—that affected the distribution of RECC. Other factors, including the interactions between residents’ consumption level and environmental regulation, residents’ consumption level and advancement of industrial structure, as well as between the proportion of R&D expenditure in GDP and resident consumption level also played important roles resulting in the variation of RECC among different cities within the urban agglomeration. Accordingly, we proposed suggestions for achieving high-quality development for different zones.

Economic Influencing Factors of Trade Volume Between China and RCEP Member States

This paper examines the impact of key economic factors on trade volumes between China and the Regional Comprehensive Economic Partnership (RCEP) member states. Studies have shown that gross domestic products (GDP), exchange rate, and inflation have an impact on China’s import and export trade volume with RCEP member states. China’s export trade volume to RCEP member states is deeply affected by China’s GDP, but the import trade volume depends on China’s domestic demand and market. The impact of exchange rates on import and export trade volumes varies from country to country. China’s export volume to RCEP member states is generally more affected by the consumption level of its residents than the consumption level of Chinese residents.

The Relationship between Urbanization and Consumption Upgrading of Rural Residents under the Sustainable Development: An Empirical Study Based on Mediation Effect and Threshold Effect

With the rapid development of urbanization, the overall consumption level of rural residents has been improved accordingly in China, and the consumption structure has gradually become perfect. However, in the process of urbanization, it is necessary to handle some practical problems in order to realize the sustainable development of consumption in rural areas. Under the concept of sustainable consumption, urbanization has become a new engine that drives rural residents’ consumption in China. The digital economy has injected new vitality to expand domestic demand as well. Therefore, whether consumption upgrading in rural areas is affected by urbanization and the digital economy is a topic worth studying. To discuss the relationship between urbanization, the digital economy and consumption levels in rural areas, this paper uses an intermediary effect model to test how urbanization promotes the consumption upgrading in rural regions with the digital economy as the intermediary variable and explores the threshold characteristics of urbanization. The results are as follows: urbanization significantly promotes the rural residents’ consumption upgrading, and there is regional heterogeneity. It improves the consumption optimization in the eastern and central regions, but not in the western region. The digital economy intermediates the relationship between urbanization and consumption optimization. Moreover, urbanization has a double threshold, and with the increase of the threshold value, the marginal effect of urbanization on rural residents’ consumption upgrading also increases gradually. China should seize the opportunities of the development of urbanization and the digital economy, constantly raise farmer income, and narrow the income gap between urban and rural area, so as to promote the sustainable development of consumption in rural areas.

Analysis of the Factors Influencing the Level of Basic Pension Insurance in China based on Factor Analysis

With the normalization of China's ageing population, the balanced regional development of pension insurance levels is a key concern for the Chinese government. The development process and level of each region is influenced by many factors, and there are serious differ-ences in the level of basic pension insurance. This paper selects relevant livelihood indica-tors and data from provinces, municipalities directly under the Central Government and au-tonomous regions from 2014 to 2020, and uses factor analysis method to study and analyze the indicators that have a greater impact on the level of pension insurance, classifying all in-dicators into two categories: economic factors and demographic factors. The results of the study found that the economic factors accounted for a greater weight, with the coefficients in the economic factors (consumption level of residents, GDP per capita, the amount of pen-sion insurance fund coverage, and the share of pension insurance fund) basically close to 20%, while the coefficients in the demographic factors (elderly population dependency ra-tio, participation rate) were closer to 10%. The weighting of the indicators affecting the im-portance of pension insurance are, in order of importance, the level of consumption of the population, GDP per capita, the amount of pension fund coverage, the share of pension fund, the dependency ratio of the elderly population, and the participation rate. The paper concludes that the overall level of basic pension insurance in China is low and disparate, and that disparities can be improved from both economic and demographic perspectives to pro-mote balanced development.

The Forecast Analysis of Chinese Resident Consumption Based on the Residual Autoregressive Model

This paper aims to improve the accuracy of resident consumption forecast by comparing different methods and selecting the residual autoregressive model. The model combines deterministic analysis method and autoregressive modeling to extract deterministic and random information, respectively, and improve the prediction accuracy. The paper introduces the modeling process of the residual autoregressive model and conducts empirical analysis on the consumption level data of Chinese residents to evaluate the fitting accuracy of the model. Finally, the model is used to forecast the consumption level of Chinese residents in 2021-2023, and the results indicate an average growth rate of about 7% over the next three years, assuming no major changes in the external environment. This paper contributes to the understanding of the residual autoregressive model and its application in the field of resident consumption forecasting, providing valuable insights for policymakers and researchers in this area.

Coordinated Development and Sustainability of the Agriculture, Climate and Society System in China: Based on the PLE Analysis Framework

Nowadays, frequent climate extremes exert a serious impact on agricultural production and social development, which is seldom studied in the previous literature. Production–Living–Ecological (PLE) is a useful analysis framework, and China is a suitable model for such study. This paper takes the Huai River Eco-Economic Belt (HREB), an important agricultural zone in China, to study the relationship among agricultural production (P), society (L), and climate change (E), which is referred to as APLE. This paper constructs a coupled coordination evaluation index system for the APLE system and uses coupling coordination degree models and geographic detector to study the spatial and temporal evolution of the coordinated development of 34 counties (cities) in the HREB from 2009 to 2018. The results show the following: (1) The development of the agricultural subsystem and the social subsystem formed a “scissors difference” from 2009 to 2014, and the three subsystems showed a slight upward trend during 2014–2018. (2) The coupling and coordinated development of the APLE system in the HREB was generally stable, and the coupling coordination degree was improved from low-grade and slightly uncoordinated to barely and primarily coordinated. Furthermore, the spatial differentiation of the coupling coordination degree shows a clear pattern of being high in the southeast and low in the northwest. (3) The main influencing factors are the drought and flood protection rate, the effective irrigation rate, the per capita electricity consumption in agriculture, the number of beds in healthcare facilities per 10,000 people, the per capita disposable income of urban residents, the annual average temperature, and the annual precipitation. (4) The spatial–temporal evolution of the coupling and coordinated development of the APLE system is the result of the comprehensive effect of internal driving forces such as food security, the consumption level of rural residents, and the development level of urbanization construction, and external driving forces such as government public welfare and natural conditions.

Research and Analysis on the Current Situation of post-90s Marriage Rate in China

In recent years, based on the Data of the National Bureau of Statistics on the marital status, the marriage rate in China is declining year by year. The change in the marriage rate will bring multiple layers of impact to the society. The decline in marriage rate will lead to a decline in the birth rate and the serious aging of the population. Based on the research data of the Chinese Statistical Yearbook on marital status from 2010 to 2020, and the post-90s group is selected as the research object to analyze the relationship between various influencing factors and marriage rates. Through the standardization of data, this paper analyzes the four influencing factors of birth rate, sex ratio, resident consumption level, and number of students in higher education. Linear regression and Pearson correlation analysis between these four aspects and the marriage rate are carried out. The results of the study showed that birth rates, sex ratios, household consumption levels and the number of students enrolled in higher education were significantly correlated with marriage rates. The reasons for the decline in the marriage rate are discussed and provide research significance for solving the problem of current marital status.