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.

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.

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 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.

Empirical Study of China's Rural Consumption Function from the Perspective of Balancing Urban and Rural Development

From the perspective of balancing urban and rural development,this article researches the factors influencing the consumption level of rural residents in China.I select the relevant data concerning per capita net income of rural households and annual per capita consumer spending of rural residents for living in the period 1985-2008,establish the regression model of per capita net income of rural households and per capita consumer spending of rural residents for living,and conduct regression analysis and error correction model test using the measurement software.The analysis results show that there is not only long-term equilibrium relationship between rural residents' current consumption and rural residents' current income,between rural residents' consumption in lag period 1 and rural residents' income in lag period 1,but also short-term equilibrium relationship;current income is the main reason for determining the current consumption).Corresponding proposals are put forward to promote the level of rural consumption in China as follows:propel agricultural modernization;actively develop specialized cooperative organizations of rural residents;improve rural land transfer mechanism;promote the level of public services in rural areas;accelerate the transfer of rural surplus labor.

空气质量改善能缩小城乡居民消费差距吗?——兼论绿色发展对共同富裕的促进作用

厘清空气质量对城乡居民消费差距的影响作用,有助于理解中国式现代化进程中绿色发展与共同富裕目标的协同推进。从医疗和防御性支出、规避行为以及劳动生产率等视角阐释了空气质量影响城乡居民消费差距的理论机制,并使用2005—2020年中国省际面板数据对其影响作用进行了实证检验。研究发现:空气质量改善会显著缩小城乡居民消费差距,这一结论在使用逆温天数作为工具变量进行内生性处理,以及更换空气污染物指标、考虑空间自相关等方式进行稳健性检验后依然成立;该作用通过缩小城乡居民消费倾向差距以及城乡居民收入差距两条渠道产生;此外,空气质量对城乡居民消费差距的影响作用还存在空间溢出效应。研究结果表明,推动绿色发展改善空气质量,能够缩小城乡居民消费差距,从而助力共同富裕目标的实现。

产业转型升级、城乡收入差距与居民消费

居民消费是畅通国内大循环的关键环节和重要引擎,产业转型升级优化了消费供给。本文实证分析了产业转型升级对居民消费的直接影响,以及通过城乡收入差距所产生的间接影响。研究发现,经济高质量发展期间,产业转型升级显著促进居民消费;城乡收入差距在产业转型升级和居民消费间的中介效应显著,产业转型升级会通过缩小城乡收入差距间接促进居民消费;产业转型升级对居民消费的影响以及城乡收入差距的中介效应均存在区域异质性,西部地区的直接影响和中介影响均强于中部和东部地区。因此,应该通过供给侧为居民提供丰富、高质量的商品,满足人民日益增长的消费需求;通过产业转型升级带动就业,提高劳动力收入,缩小城乡收入差距,同时积极防范部分地区在实施产业转型升级政策时出现扩大城乡收入差距等问题。

内蒙古地区居民文化消费差异性分析

提升居民的文化消费水平,有利于不断优化居民的消费结构,促进经济健康发展;有利于提高居民文化综合素质,促进人的全面发展;有利于提高整个国家的文化软实力,从而提升综合国力。本文以内蒙古自治区为例,分析了居民文化消费的城乡差异和地区差异,并就如何提升居民的文化消费提出对策建议。

我国饲料粮供需结构变动的影响因素分析

加强饲料粮供给是稳定饲料粮市场供需、推动畜牧业高质量发展的重要抓手。文章基于2006年1月—2022年12月饲料粮供需结构月度数据样本,采用VAR模型对我国饲料粮供需结构展开实证分析。结果发现,玉米供给量对饲料粮供需结构变动的影响最明显,城乡居民畜产品消费量次之,稻谷供给量最低。从供给视角分析,饲料粮供需结构变动的主要影响因素包括玉米供给量、豆粕供给量、高粱供给量、小麦供给量。从需求视角分析,城乡居民畜产品消费量是影响饲料粮供需结构变动的主要因素。从突发事件视角分析,自然灾害风险指数并非是饲料粮供需结构变动的格兰杰原因。在忽略其他因素影响情况下,自然灾害风险指数对7周后饲料粮供需结构变动影响贡献率为23.62%。研究表明,饲料粮供需结构变动主要受到玉米供给量、城乡居民畜产品消费量、豆粕供给量、高粱供给量、小麦供给量、自然灾害风险等因素影响。

数字普惠金融、城乡居民收入与消费差距

文章通过构建动态面板模型,利用2011—2020年我国省级数据,探究数字普惠金融对城乡居民消费差距的影响效应。结果表明:数字普惠金融有效缩小了城乡居民消费差距,经过稳健性检验后该结论仍成立;数字普惠金融通过三条渠道缩小消费差距,即提高支付便利性、拓宽融资渠道、降低预防性储蓄需求;数字普惠金融能够通过缩小城乡居民收入差距间接影响消费差距;数字普惠金融对城乡居民消费差距的改善效应存在区域与消费品类别异质性,即在东北、中部和西部地区效果更好,对城乡居民享受型和发展型消费差距改善效果更显著。

共同富裕视域下城乡收入差距的缩小能否助推居民生活源碳减排

中国致力于实现的共同富裕是建立在经济福利和生态福利基础上多层次的共同富裕,缩小城乡收入差距是提高全民经济福利和促进共同富裕的必要环节,而抑制居民生活源碳排放则是面向“双碳”目标增加生态福利的重要方面。以2010—2020年中国省级面板数据为样本,采用双向固定效应模型并选取地势平整度为工具变量,实证研究了城乡收入差距对生活源碳排放的影响。结果显示:城乡收入差距越大,居民生活源碳排放越多,且该结论在系列稳健性检验下仍成立;异质性分析表明,缩小城乡收入差距对居民生活源碳排放的减排作用更偏向于居民生活源碳排放水平较高的地区,更偏向于贫困地区,更偏向于低城镇化地区,以及更偏向于东部和西北等地区,这为因地制宜的生活源碳减排政策提供了依据;机制分析表明,城乡收入差距通过作用于居民能源消费结构清洁度而影响居民生活源碳排放。在新时期扎实推进共同富裕进程中,应持续缩减城乡收入差距,以降减生活源碳排放和助力实现“双碳”目标。

医保渐进式整合对家庭消费的影响研究——基于多期DID的准自然实验

以城乡居民基本医疗保险的渐进式整合为视角,基于中国劳动力动态调查数据构建多期DID准自然实验,探究医保整合对居民家庭消费的影响及其相关机制,结果显示:相对于家庭总消费,城乡居民医保整合对家庭非医疗消费的促进效应更显著,且该政策效应具有短期性;城乡居民医保整合能通过增加家庭总收入促进家庭消费,还能调节患病群体与健康群体之间的健康风险,减少医疗支出的不确定性,进而释放家庭消费。由此,应进一步完善我国新时期医疗保障制度,通过继续推进医疗保障体系整合扩面,建立城乡居民医保筹资动态调整机制,构建以健康为中心的医疗保障体系,释放消费潜力,为经济发展赋能。

河北省城乡居民消费结构变动研究——基于ELES模型的实证分析

基于ELES模型,对2013-2021年河北省城乡居民消费结构变动情况进行了研究.从边际消费倾向可以看出,随着生活水平的提高,河北省城乡居民的消费逐渐从“温饱型”向“小康型”转变.消费结构变动度分析显示,除个别年份外,居民消费结构整体变动不大,相对较稳定.通过分析消费结构熵数发现,河北省城乡居民整体消费质量较高,但是消费结构升级速度相对较慢.根据分析结果,提出了增加居民收入、优化消费环境、拓展新型消费、坚持推进城乡融合发展、提高农村居民的社会保障水平等建议.

新型城镇化对农村居民消费升级的影响研究——基于长江经济带省级面板数据的实证分析

激发农村居民消费潜力、促进农村居民消费升级对推动国内国际双循环、经济高质量发展具有重要战略意义。文章通过构建新型城镇化影响农村居民消费升级的理论框架,基于长江经济带11个省(市)2008—2022年的面板数据,运用固定效应、机制效应等模型,实证分析了新型城镇化对农村居民消费升级的影响及作用机制。研究发现:(1)新型城镇化显著促进农村居民消费升级,此结论经多重检验后依然成立;(2)机制分析表明,提高农村居民收入和农业机械化水平是新型城镇化促进农村居民消费升级的重要路径;(3)异质性分析表明,长江经济带新型城镇化对农村居民消费升级的促进作用呈下、中、上游阶梯递减的差异格局。鉴于此,文章建议持续推进新型城镇化与农村居民消费的可持续发展,完善农村居民收入增长机制,加大农村科技投入力度,统筹区域发展,释放消费潜能。

乡村振兴背景下民生财政对县域居民消费的影响研究

提振县域消费是推进乡村振兴的重要内容,需要民生财政发挥积极作用。本文使用2014—2020年广东省40个县级单位的数据评估了民生财政对县域居民消费的影响。结果表明,民生财政水平提高显著促进了县域居民消费,并且通过缩小城乡居民收入差距间接推动了县域居民消费;通过更换解释变量、增加控制变量、使用工具变量法等稳健性检验后,结论依然成立;异质性分析表明,在区域层面,该效应突出表现在东翼、西翼和山区,在收入类型层面,社会保障支出与卫生健康支出效应明显。本文从县域角度为乡村振兴背景下民生财政的积极作用研究提供了理论和经验上的支持。

数字经济发展对安徽省城乡居民消费结构的影响研究

数字经济发展影响了我国城乡居民的消费结构。以安徽省为例,基于回归模型和横向空间要素对安徽省城乡居民消费结构进行测度分析。根据2019-2022年安徽省城乡居民消费水平数据内容以及16个省辖市的区域面板数据,通过采用熵值赋权法进行构建分析,探讨数字经济发展对安徽省城乡居民消费结构的影响。结果表明:第一,数字经济发展能够缩短城乡居民的消费结构差距,因此各省市目前正加速推进数字经济建设的发展步调。第二,安徽省城乡居民消费结构受到数字经济发展的深远影响正在逐步转型,产业结构化的升级调整将对数字经济的可持续发展带来循环促进作用。第三,数字经济的发展要想更好地深度融合实体经济,需要结合安徽省城乡居民消费结构的特性,寻找数字化转型的新路径。

人口年龄结构对城乡居民消费升级的影响——基于CHFS 2019数据的实证研究

利用中国家庭金融调查(CHFS)2019年数据,实证分析人口年龄结构对城乡居民消费升级的影响。结果表明:总体来看,老年人口比重和少年儿童比重对消费率和恩格尔系数有显著的正向影响,对消费水平和高层次消费比重有显著的负向影响;从城乡对比来看,农村居民老年人口比重和少年儿童比重对消费升级的抑制作用大于城镇居民;从区域对比来看,老年人口比重显著抑制东西部城乡居民和中部农村居民的消费升级,少年儿童比重显著抑制西部城乡居民和中部农村居民的消费升级;从收入水平对比来看,老年人口比重显著抑制中低收入组和高收入组城乡居民以及低收入组农村居民的消费升级,少年儿童比重显著抑制低收入组城镇居民和所有收入组农村居民的消费升级。

网络零售对城乡居民消费的影响及异质性分析

网络零售在数字经济发展下已成为销售供给的新形态,作为消费市场的重要组成部分,其对构建经济新发展格局、激发城乡居民消费潜力意义重大。基于网络零售与居民消费的内在关联,文章构建了网络零售与城乡居民消费的影响机制,通过中介效应模型对理论机制进行检验。研究发现:网络零售对城乡居民消费具有显著的促进作用,但是对线下消费存在一定的“挤出效应”;影响机制分析表明,提高社会保障、促进行业内竞争是实现网络零售带动城乡居民消费的重要路径;异质性检验结果显示,网络零售对城乡居民消费促进作用东部要高于中西部,表现出东-中-西的梯度特征。据此,文章提出应巩固培养新兴消费增长点,促进线上线下融合发展,并构建多样化消费生态,推动经济新旧动能转化,以期进一步释放城乡居民消费潜力。

数字普惠金融对城乡居民收入差距的影响——基于江西省的实证

数字普惠金融的发展有利于促进城乡居民收入增长以及城乡收入分配结构优化。利用江西省11个地级市2011—2020年的面板数据建立固定效应模型,采用泰尔指数测算城乡收入差距,探究数字普惠金融如何影响城乡收入差距,并替换核心变量以检验结果的稳健性。采用聚类分析法,依据城镇化率将江西各地级市分为Ⅰ、Ⅱ、Ⅲ三类城市,探究各类城市数字普惠金融水平在缓解城乡收入差距上的作用,分析不同城镇化率城市之间的异质性。结果表明,近年来江西省各地级市的数字普惠金融总体水平不断提升,数字普惠金融发展能有效缓解城乡收入差距,使城乡收入差距普遍缩小。此外,异质性检验结果表明,数字普惠金融发展显著缓减了三类城市的城乡收入差距,在城镇化率越高的地区,表现越显著。因此,要大力发展数字普惠金融,优化金融资源配置;统筹城乡经济发展,实现各地产业转型升级;普及数字普惠金融教育,提高农村居民金融素养;建立健全互联网基础设施,加强网络安全监管。