Empirical Research on the Relationship between Education Poverty Alleviation and Rural Revitalization—Spatial Panel Simultaneous Equation Model Based on Provincial Panel Data

On the basis of using entropy weight method to measure China’s education poverty alleviation and rural revitalization evaluation indicators, using the panel data of 30 provinces in China (excluding Xizang, Hong Kong, Macao and Taiwan) from 2012 to 2021, a spatial panel simultaneous equation model is constructed based on adjacency matrix, geographical distance matrix and economic geographical distance matrix deeply study the interaction mechanism and spatial spillover effects between education poverty alleviation and rural revitalization through the generalized spatial three-stage least squares method (GS3SLS). The results indicate that there is a significant spatial spillover effect and a positive spatial correlation between education poverty alleviation and rural revitalization, and there is a significant interactive effect between the two variables, while promoting each other positively. Therefore, the government should clarify the deep relationship between education poverty alleviation and rural revitalization based on the current background, and better consolidate and expand the effective connection between the achievements of education poverty alleviation and rural revitalization.

Influencing Factors and Prediction of Risk of Returning to Ecological Poverty in Liupan Mountain Region,China

China has resolved its overall regional poverty in 2020 by attaining moderate societal prosperity.The country has entered a new development stage designed to achieve its second centenary goal.However,ecological fragility and risk susceptibility have increased the risk of returning to ecological poverty.In this paper,the Liupan Mountain Region of China was used as a case study,and the counties were used as the scale to reveal the spatiotempora differentiation and influcing factors of the risk of returning to poverty in study area.The indicator data for returning to ecological poverty from 2011-2020 were collected and summarized in three dimensions:ecological,economic and social.The autoregressive integrated moving average model(ARIMA)time series and exponential smoothing method(ES)were used to predict the multidimensional indicators of returning to ecological poverty for 61 counties(districts)in the Liupan Mountain Region for 2021-2030.The back propagation neural network(BPNN)and geographic information system(GIS)were used to generate the spatial distribution and time variation for the index of the risk of returning to ecological poverty(RREP index).The results show that 1)ecological factors were the main factors in the risk of returning to ecological poverty in Liupan Mountain Region.2)The RREP index for the 61 counties(districts)exhibited a downward trend from 2021-2030.The RREP index declined more in medium-and high-risk areas than in low-risk areas.From 2021 to 2025,the RREP index exhibited a slight downward trend.From 2026 to2030,the RREP index was expected to decline faster,especially from 2029-2030.3)Based on the RREP index,it can be roughly divided into three types,namely,the high-risk areas,the medium-risk areas,and the low-risk areas.The natural resource conditions in lowrisk areas of returning to ecological poverty,were better than those in medium-and high-risk areas.

The Model of Poverty Alleviation and Income Growth by Developing Plateau-characterized Agriculture and Its Achievements Analysis in Yunnan Province——a Case Study in Midu County, Dali Bai Autonomous Prefecture

The policy of taking the targeted poverty alleviation measures has been the mission of the age in propelling the 13th Five-year Plan and building moderately prosperous society. A good poverty alleviation model is of significance for the goal. The research introduced a poverty-stricken county-Midu County, Dali Bai Au- tonomous Prefecture, analyzed the basic approaches and the main achievements of ＂the model of poverty alleviation and income growth by developing plateau-charac- terized agriculture＂, and proposed some suggestions to promoting and applying this model. The research provides references for plateau-characterized agricultural devel- opment and targeted poverty alleviation strategy.

Industrial Poverty Alleviation Model in Southwestern High-altitude Mountainous Areas of China——A Case Study of Industrial Poverty Alleviation of Xueshan Township in Luquan County of Yunnan Province through Planting Codonopsis pilosula

Due to the severe restrictions of natural conditions and ecological environment,high-altitude mountainous areas usually become the " hard bones" in the battle against poverty. Xueshan Township,Luquan Yi and Miao Autonomous County of Yunnan Province,located in the alpine valley of Jinsha River,is a major township with wide and deep poverty,and the incidence of poverty is up to 45. 00%. In recent years,Xueshan Township has insisted on the battle against poverty,made effort to develop the Codonopsis pilosula industry,and successfully developed a road to poverty alleviation through C. pilosula industry,and formed a unique industrial poverty alleviation model by the end of 2018,the incidence of poverty dropped to 0. 74%. Based on field survey and interview,this paper analyzes and summarizes the specific practices,main results,practical experience and promotion and application measures of the poverty alleviation model of C. pilosula planting industry in Xueshan Township,in the hope of providing certain reference for the targeted poverty alleviation in similar areas in Yunnan Province and other provinces of China.

The Model of "Party Branch +" in Promoting Industrial Poverty Alleviation in Poverty-stricken Mountainous Areas of China: A Case Study of Xundian in Yunnan Province

The integration and development of grass-roots Party organizations and accurate poverty alleviation is the focus in social development in the new period. This is also a new measure explored by the CPC Central Committee in the new historical period to solve rural reform and extricate the poor from poverty,and can effectively enhance the enthusiasm of the masses in poverty alleviation and development work. Xundian Hui and Yi Autonomous County is located in the mountainous area of northeast Yunnan Province. It is one of the 592 national key counties for poverty alleviation and development and one of the 38 continuous development counties in Wumeng Mountain area. Since the implementation of the accurate poverty alleviation strategy,Xundian County insists on getting rid of poverty to grasp the overall situation of county economic and social development,focus on the actual situation of the county people,and conscientiously grasp the key of industrial poverty alleviation. It regards industry as the fundamental driving force to realize poverty alleviation from " blood transfusion" to " blood creation",and innovates the model of " Party branch +" to help the poor out of poverty by industry. It has selected 187 agricultural enterprises( cooperatives,large households) to achieve full coverage of all registered poor households,and achieved remarkable results. It has realized that each poor village has one to two leading industries,and each poor household has one to two industrial income projects,having led 30 500 poor households to increase their average income by more than 1 850 yuan. The final incidence of poverty decreased from 26. 93% in 2014 to 0. 35% at the end of 2017,becoming one of the first counties in Yunnan Province to get rid of poverty. It is also the only county in Yunnan Province that has won the Antipoverty Organization Innovation Award of the State Council. Based on field research and interviews,this paper analyzes and summarizes the specific methods,main achievements,practical experience and popularization and application measures of Xundian County " Party Branch +" to promote industrial poverty alleviation,so as to provide necessary reference for accurate poverty reduction and poverty alleviation in similar mountainous areas of Yunnan Province and other provinces.

Effective way of alleviating poverty against poverty control: Based on the model of "Three Drives, Four Joints" in Zhen'an County

Based on the survey research of poverty controlling model of "Three Drives, Four Joints" in Zhen'an County, its forming motives, implementing mechanism, and constraint factors have been explored to testify its enlightenment and applicability, establishing a promotable, applicable, and effective poverty alleviation model. "Three Drives, Four Joints" model is linked to the poor who lacks ability of self-development. Relying on the drives from key leading companies, the capable and the rich, a community with shared interests by the poor and the subjects of the "three drives" could be formed through "Joint Production, Joint Resources, Joint Community of Stock, and Joint Operation". The linked poverty alleviation development model of "the influential and the rich bring along the poor" and "A rich household would help the others" come into being. It is found out that the model of "Three Drives, Four Joints" is in essence a poverty alleviation method focusing on the increase of the income and diversified ways of increasing the earnings. Problems of poverty alleviation carrier and joint mechanism have been solved in the poverty alleviation process. The model is innovative in activating the resource elements, helping to move the poor out of poverty. A referential, copyable, and applicable model is offered to advance the poverty alleviation in mountainous areas in China.

Diamond Model Based Analysis on Cooperation between of Poverty Alleviation and Emission Reduction in Agricultural Counties: A Case Study of Huoshan County in Anhui Province

2020 is the year of decisive stage for building a well-off society in an all-round way.On the winter vacation of 2020,we went to Huoshan County,Anhui Province,an old revolutionary area,and conducted a social survey for nearly a month.Through interviews,on-site observations,and access to materials,we clearly found that the local party committee and government actively responded to the call of the state,practiced the"two mountains"theory,turned a poor and backward agricultural county into a national ecologically civilized and well-off county,and realized the coordinated progress of poverty alleviation and energy conservation and emission reduction.Starting from the government policies and rural facts of Huoshan County,a national ecological county,and using Porter’s"Diamond Model",our team used Huoshan County’s environmental advantages and disadvantages,economic prosperity and decline as comparison conditions,and analyzed external factors such as factor conditions,opportunities,related and supporting industries,government forces,etc.,to come up with pertinent recommendations for the development of agricultural county-level characteristic industries.

Predictive Mathematical and Statistical Modeling of the Dynamic Poverty Problem in Burundi: Case of an Innovative Economic Optimization System

The mathematical and statistical modeling of the problem of poverty is a major challenge given Burundi’s economic development. Innovative economic optimization systems are widely needed to face the problem of the dynamic of the poverty in Burundi. The Burundian economy shows an inflation rate of -1.5% in 2018 for the Gross Domestic Product growth real rate of 2.8% in 2016. In this research, the aim is to find a model that contributes to solving the problem of poverty in Burundi. The results of this research fill the knowledge gap in the modeling and optimization of the Burundian economic system. The aim of this model is to solve an optimization problem combining the variables of production, consumption, budget, human resources and available raw materials. Scientific modeling and optimal solving of the poverty problem show the tools for measuring poverty rate and determining various countries’ poverty levels when considering advanced knowledge. In addition, investigating the aspects of poverty will properly orient development aid to developing countries and thus, achieve their objectives of growth and the fight against poverty. This paper provides a new and innovative framework for global scientific research regarding the multiple facets of this problem. An estimate of the poverty rate allows good progress with the theory and optimization methods in measuring the poverty rate and achieving sustainable development goals. By comparing the annual food production and the required annual consumption, there is an imbalance between different types of food. Proteins, minerals and vitamins produced in Burundi are sufficient when considering their consumption as required by the entire Burundian population. This positive contribution for the latter comes from the fact that some cows, goats, fishes, ···, slaughtered in Burundi come from neighboring countries. Real production remains in deficit. The lipids, acids, calcium, fibers and carbohydrates produced in Burundi are insufficient for consumption. This negative contribution proves a Burundian food deficit. It is a decision-making indicator for the design and updating of agricultural policy and implementation programs as well as projects. Investment and economic growth are only possible when food security is mastered. The capital allocated to food investment must be revised upwards. Demographic control is also a relevant indicator to push forward Burundi among the emerging countries in 2040. Meanwhile, better understanding of the determinants of poverty by taking cultural and organizational aspects into account guides managers for poverty reduction projects and programs.

How to Quickly Cast off Poverty in Poverty-stricken Mountainous Areas Relying on the "Whole Village Advancement" Model?

We carry out a field survey on the implementation of the"Whole Village Advancement"poverty alleviation model in Lisizhuang Village,Shunping County,Hebei Province.Based on the"Whole Village Advancement"poverty alleviation model,we put forth the following recommendations:(i)Oriented by the market,fostering the function of"blood-refreshing";(ii)Strengthening the new ideas of using projects to attract investment;(iii)Implementing the new strategy of"driven by the able person";(iv)Improving the farmers'quality;(v)Adhering to the diversification of financing channels.

An Unconventional Model of Poverty Alleviation Directed by the Human Rights Approaches:based on an Observation of the Targeted Poverty Alleviation Policy and Its Practice in Weixian County of Hebei Province

Against the background that poverty alleviation is increasingly linked to the human rights-based approach in the international community,an issue arises concerning how to assess the targeted poverty alleviation strategy in China from a human rights perspective.The human rights-based approach emphasiz connecting poverty alleviation with those rights recognized in international human rights conventions,with a focus on the notion of multi-dimensional poverty and the empowerment and accountability in the process of poverty alleviation.The targeted poverty alleviation in China embodies the notion of capability poverty and adopts a multi-dimensional poverty alleviation strategy.The principles of empowerment and accountability have also been implemented to a large extent.All of the elements existing in the targeted poverty alleviation model such as super political will,government dominance,targeted implementation and unconventional mobilization are critical to ensuring the eventual success of poverty alleviation and human rights protection therein.Generally speaking,some deficiencies in respect of empowerment and rule of law in targeted poverty alleviation will not hinder the overall effectiveness of poverty alleviation.Nevertheless,it will be very helpful to reinforce the empowerment and rule of law in order to insure the fairness and sustainability in poverty alleviation,especially in the inevitable transition from an unconventional model ofp overty alleviation to a conventional one in future.

教育对缓解多维相对贫困的影响——基于高校扩招自然实验的证据

在以多维性为贫困重要属性的后脱贫时代,高等教育减贫相较于其他扶贫方式具有显著优势,因此有必要对高等教育减贫效果进行评估。本文基于2018年中国家庭追踪调查数据,利用各省扩招政策强度差异和样本出生队列信息构造双重差分模型,考察高校扩招对个体陷入多维相对贫困概率的影响。研究发现,高等教育减贫的效果显著,高校扩招后直接受到政策影响的队列陷入多维相对贫困的概率降低17.6%。在改变关键变量度量方式后,研究结果显示高等教育减贫效果依然稳健。高校扩招过程中为个体提供的高等教育机会提高了个体的非认知能力、非农就业的概率和社会资本,从而降低个体陷入多维相对贫困的概率。但是,高校扩招的减贫效应在不同群体之间存在差异,高校扩招对非农村人口、女性、父辈教育水平高的人群的减贫效应更大。因此,需更加注重不同群体在获得高质量高等教育方面的公平,以更好地发挥高等教育的减贫效应。

高质量发展目标下脱贫县农业产业化与农地利用生态效率耦合协调分析:以江西省为例

探究脱贫县农业产业化与农地利用生态效率耦合协调关系,对促进农业高质量发展具有重要意义。基于新发展理念,以江西省25个脱贫县为研究对象,构建农业产业化与农地利用生态效率耦合评价体系,借助耦合协调模型和泰尔指数模型测度两者的耦合协调水平及其区域差异。结果表明:(1)2011—2020年,江西省脱贫县农地利用生态效率总体水平较高,年均值为0.738,赣南地区高于赣中和赣北地区;(2)2011—2020年,江西省脱贫县农业产业化发展指数总体水平较低,年均值为0.414,赣北地区最高,其次为赣中,赣南最低;(3)2011—2020年,脱贫县农业产业化与农地利用生态效率耦合协调指数由期初的0.321升至期末的0.342,总体处于中度失调和轻度失调阶段;(4)脱贫县地区内差异对泰尔指数总体贡献最大,县域农业发展协调性较弱。进一步分析可以发现,市场与政府的作用差异是导致农业产业化水平与农地利用生态效率存在差异的主要原因,综合运用行政和市场手段推动农业产业化发展是提高两者耦合协调水平的关键。

医保扶贫政策效力评价及相对贫困时期医保防贫政策优化研究——基于PMC指数模型

[目的]对我国医保扶贫政策文本进行量化评价,为进一步优化与完善相对贫困阶段医保政策、巩固医保脱贫攻坚成果、构建长效化医疗保障防贫抑贫长效机制提供决策参考。[方法]基于2018-2021年我国具有代表性的9项医保扶贫政策文本,运用文本挖掘法,建立PMC指数评价模型并进行量化评价。[结果]9项政策中,PMC指数的计算结果为P7<P9<P2<P6<P8<P5<P1<P4<P3,其中6项为优秀政策,3项为可接受政策。[结论]我国医保扶贫政策覆盖面较宽,但在政策针对性、持续性及协同性等方面尚有欠缺,建议今后政策制定或改进时,应在保持政策总体稳定的基础上,进一步关注政策对象变化及政策目标实现路径,重点探索完善医保防贫抑贫长效机制。

协同性三次分配:贫困治理视域下农民农村共同富裕的实现机制

在“后2020时代”,相对贫困治理与共同富裕场域交叠、逻辑同构、成效相承,二者具有一体推进的关系,共同服务于中国式现代化的伟大实践。贫困治理视域下,要推进农民农村共同富裕,关键是要破解城乡空间资源配置失衡之“困”所致的农村之“贫”。协同性三次分配机制作为一种关系创新,通过资源要素回流、地方市场建构、农民无差受惠的“三重奏”,为城乡资源要素连接与激活、动能输入与转化提供制度性通道,改变了农村低水平的要素自循环与贫困再生产。它是渐进平衡贫困治理模式下联动、协同、演化三大功能整合互动的可操作化机制,通过三种分配形式的制度合力保障了相对贫困治理以发展为内容导向、以共享为价值导向、以均衡为目标导向,可有力有效推进农民农村共同富裕。

新发展阶段扶贫项目资产管理典型模式及启示建议

选取安徽省W县、陕西省F县和四川省N县作为样本进行考察,研究表明安徽省W县的“严把五关”模式、陕西省F县的“四五三”模式、四川省N县的“五字诀”模式因地制宜探索摸清底数、确权登记、落实管理责任、规范管护运营与收益分配、严格资产处置等扶贫项目资产管理机制,取得了显著成效。进入新发展阶段,扶贫项目资产管理面临着“多头管”“理不清”“风险大”等现实问题,应加强顶层设计,多方协同齐抓共管;加强运营管护,提高资产绩效;加强分类管理,提升管理的精准性;防控多重风险,切实保护资产安全。

数字普惠金融、农民增收与共同富裕

数字普惠金融能够缓解农村金融困境,成为巩固脱贫攻坚成果、实现共同富裕的重要方式。基于2013—2022年中国280个地市级面板数据,实证检验了数字普惠金融对共同富裕的影响机制、非线性关系及空间溢出效应。研究表明,我国区域间共同富裕水平呈显著的空间正相关性,且样本考察期内集聚模式未发生显著变化,具有显著的空间集聚性;机制分析表明,数字普惠金融对共同富裕具有显著正向作用,农民增收在数字普惠金融与共同富裕关系中发挥中介作用;数字普惠金融的积极影响存在“边际效应”非线性递增,且农民增收能够调节数字普惠金融的非线性溢出效应;数字普惠金融对共同富裕的积极影响具有空间溢出特点,且呈“东部>中部>西部”区域异质性。通过推动数字普惠金融优先发展、努力促进区域协调发展以及充分带动农民增收,能够加快实现共同富裕。

连片特困地区县域交通扶贫效率测度及影响因素——以滇西边境山区为例

交通扶贫效率测度可为乡村振兴阶段区域交通规划方案制定提供重要的理论依据。以滇西边境山区56个县域四年间交通与经济发展面板数据为样本,构建交通扶贫效率投入产出指标体系,运用DEA模型、Malmquist指数测度滇西边境山区各县交通扶贫效率,并分析其时空分布特征。同时,构建Tobit回归模型,探究县域交通扶贫效率的影响因素。研究表明:滇西边境山区县域交通扶贫效率整体呈逐步增长态势,在乡村振兴阶段仍然有较大提升空间,且交通扶贫综合效率主要受到规模效率的影响;滇西边境山区县域交通扶贫效率大幅提升;依据交通扶贫综合效率的平均值和Malmquist指数值两个维度,滇西边境山区56个县可划分为潜力型、发展型、成熟型及巩固型4种类型,而发展型和成熟型是滇西边境山区交通扶贫效率的主要形态;县域规模、产业结构对交通扶贫效率的提升具有反向抑制作用,就业支持、消费水平、区位优势、投资规模均在不同程度上对滇西边境山区交通扶贫效率产生正向促进作用;各影响因素对不同发展阶段的县域交通扶贫效率在影响强度和作用路径上存在差异。因此,应进一步优化县城交通基础设施空间布局,强化劳动力就业等因素与交通运输发展的“联动效应”,针对不同交通扶贫发展阶段及影响因素短板,采取差异化、合理化发展策略。

渝东南民族地区乡村旅游巩固脱贫攻坚成果的影响因素研究

中国已全面建成小康社会,进入巩固拓展脱贫攻坚成果的新阶段。基于修正的可持续旅游生计理论,以渝东南民族地区为例,定量测度乡村旅游巩固脱贫攻坚成果的成效,运用结构方程模型分析乡村旅游巩固脱贫攻坚成果的影响因素。结果表明:①经济、文化、社会、环境4个层面在巩固脱贫攻坚成果的步调一致,但是没有形成良好的互动机制,属于勉强协调发展的水平,制约了4个系统间的协调发展;②渝东南民族地区乡村旅游巩固脱贫攻坚成果的影响因素重要性从大到小依次为经济资本、人力资本、自然资本、制度资本、社会资本,均具有显著正向影响。针对以上结论,为巩固脱贫攻坚成果,本文从优化经济与人力资本、完善制度与自然资本、强化文化和社会认同3个方面提出对策建议。

时间贫困内涵及其对幸福感的影响:稀缺理论视角

时间贫困是日常生活中时间不够用的弥散性感受,会危害到人们的身心健康与幸福感。目前时间贫困的概念结构仍不清晰,与幸福感的关系结论不一致且缺乏因果证据与机制认识。本项目拟厘清时间贫困内涵,构建多维时间贫困理论模型,据此编制多维测量量表并搭建国民时间贫困数据库;以稀缺理论为基础,探讨时间贫困对个人和人际幸福感的影响,及过度生产率取向的可能中介作用;并基于溢出-交叉模型,探讨时间贫困对家庭幸福感的影响及其机制。

福建省县域共同富裕水平测度及障碍因素分析

从收入均衡度、保障普惠度、生产丰富度、生活幸福度四方面构建县域共同富裕评价指标体系,综合运用耦合协调度模型、ESDA、Dagum基尼系数分析2013-2021年福建省县域共同富裕水平的时空变化特征,并通过障碍度模型探究其影响因素。结果表明:①研究期间福建省县域共同富裕水平呈现逐渐升高趋势,并存在显著的空间正相关,整体差距有所缩小,但闽东南地区内部差距存在逐渐扩大态势;②耦合协调等级从以轻度失调为主向轻度协调转变,耦合协调度呈现出与共同富裕水平类似的空间分布格局;③从准则层看,共同富裕水平的主要阻碍来自生产丰富度,从指标层看,主要障碍因子为期末参加城乡居民社会养老保险人数、粮食生产水平和消费水平。