Poverty Alleviation Work Research Articles

MULTI-DIMENSIONAL POVERTY IDENTIFICATION AND EVOLUTION ANALYSIS IN HEBEI PROVINCE BASED ON NIGHTTIME LIGHT REMOTE SENSING DATA

Abstract. This paper explores the use of spatiotemporal geographic information and advanced technology to effectively address the issue of poverty reduction and development. The focus is on Hebei Province, where multi-dimensional poverty identification and spatiotemporal evolution analysis are conducted using nighttime light remote sensing data. The study establishes a Multi-dimensional Poverty Index (MPI) system based on the regional average nighttime light index (ANLI) extracted from data spanning 2010, 2014, and 2018. A coupled regression model confirms the correlation between MPI and ANLI. Visualization and analysis are performed using GIS technology, Moran's I, and Getis's G* to interpret the identification results. From the experimental results, MPI established in this paper fits well with ANLI, which can be used for poverty identification and monitoring. The established multi-dimensional poverty model can identify multi-dimensional poverty counties better. However, there is a large discrepancy in the match with the traditional list of poor counties issued by the state from the perspective of absolute economic poverty. From the perspective of spatiotemporal evolution, it can be seen that the overall poverty level in Hebei Province has changed with time. Although there is aggregation among poverty areas, the aggregation is not deep. The poverty level of the traditional national-level poor counties has also been reduced, but the pattern of poverty aggregation remains unchanged. The "C-shaped" poverty belt around Beijing formed by Chengde, Zhangjiakou, Baoding and other surrounding counties in northern Hebei Province is still the focus of poverty alleviation work in the next stage.

Informational Interventions in Environmental Behavior of Rural Residents: Example of Waste Separation and Water Quality Enhancement

INTRODUCTION: The ongoing progress in China's rural revitalization and precision poverty alleviation has led to the gradual implementation of environmental improvement initiatives for rural residents. As a result, rural residents' environmental behavior is now being influenced by informatization interventions. With the deepening of these interventions, various environmental behaviors have emerged. Therefore, it is crucial to study the impact of informatization interventions on rural residents' ecological behavior, focusing specifically on garbage classification and water quality enhancement.
 OBJECTIVES: To improve the level of China's rural habitat improvement, to improve the mechanism of informatization intervention in the environmental behavior of rural residents; to solve the problem of garbage classification and water quality improvement in the environment of rural residents under the background of informatization intervention, and to improve the level of modernization of China's agriculture and rural areas.
 METHODS: First, using the theory of informatization intervention to establish a model of informatization intervention in the environmental behavior of rural residents; secondly, using the questionnaire method to investigate and analyze the ecological behavior of rural residents under the background of informatization intervention in the case townships; finally, using the model to analyze the results of the survey and establish the relevant principles of environmental improvement under the background of informatization intervention.
 RESULTS: Under the background of informatization intervention, there is a significant improvement in the environmental behavior of rural residents, and the efficiency of garbage classification is significantly improved compared with the traditional model; the application of informatization intervention has dramatically improved the efficiency of environmental remediation in the case townships, and the informatization intervention can also play a significant role in the improvement of water quality.
 CONCLUSION: In the continuous process of rural revitalization and precise poverty alleviation work, to strengthen the informatization intervention of rural residents' environment and comprehensively improve the quality level of rural habitat environment, it is crucial to carry out from various aspects and construct informatization.

Convergence of multidimensional poverty in China: does good governance matter?

ABSTRACT The existing literature finds the multidimensional poverty may not converge because it usually declines relatively slowly and even shows an upward trend. This paper investigates the convergence of multidimensional poverty and whether good governance could promote it. We examine the impact of good governance on convergence of multidimensional poverty using the matching data of China Family Panel Studies from 2010–2018 with provincial officials. Our results show that the reduction of the multidimensional poverty index is mainly due to a decrease in the multidimensional headcount ratio (H), which decreases more in provinces with higher initial H. However, the speed of convergence varies among provinces and cannot be explained by unconditional convergence alone. Such variation is explained by promotion incentives of officials and fiscal expenditure, specifically, the H tends to decrease faster in provinces with stronger promotion incentives and more fiscal expenditure. Our findings would provide implications for China’s future anti-poverty policies and poverty alleviation work in other developing countries.

The conceptual evolution of poverty alleviation through labour transfer in the Xinjiang Uyghur Autonomous Region

ABSTRACT This paper argues that in China’s Xinjiang Uyghur Autonomous Region, work placements of re-education detainees and Xinjiang’s implementation of the national Poverty Alleviation through Labor Transfer programme for the transfer of rural surplus labourers operate under fundamentally different policies. Drawing on new documentary and witness evidence, it is argued that within Xinjiang’s unique context of frontier settler colonialism, its recent coercive labour transfer programme evolved alongside decades-long efforts to facilitate surplus labour transfers throughout China. From 2014, when Beijing shifted the region’s work focus towards de-extremification, Uyghur underemployment was framed as a matter of social stability and national security. Between 2017 and 2019, labour transfer coercion dramatically increased alongside campaigns of mass internment and of enforcing poverty alleviation work goals. Xinjiang’s shift in 2021 from a campaign-style mobilizational to an institutionalized approach deepens coercive risks of this often poorly understood coercive labour strategy.

Performance of precision poverty alleviation through circular economy based on RS-SVM model in the context of rural revitalization

With the implementation of the rural revitalization strategy, the precision poverty alleviation through circular economy has become an important means of promoting rural development. In order to study the performance of circular economy precision poverty alleviation in rural revitalization, a performance research method based on Support Vector Machines is proposed. During the process, the rough set was introduced for the hidden feature analysis, and a precise poverty alleviation performance indicator system was established. Afterwards, the performance evaluation model was constructed and the genetic algorithm was introduced for parameter optimization. Finally, the performance of the research method was tested. The experimental results show that the research method only requires 15 evolutions to achieve a fitness value of approximately 0.021. In the test of the calculation results, the research method only had 2 points on the test set that differed by more than 0.2 from the standard value. In the F1 test, the research method increased to approximately 97.6 after 200 iterations on the test set. When conducting empirical analysis, the evaluation results obtained by the research method are basically consistent with the expert evaluation results. These results indicate that the research method has good performance and can accurately evaluate the performance of precision poverty alleviation, providing reference for poverty alleviation work.

Research on Performance of Modern Rural Financial Poverty Alleviation Based on Data Envelopment Method

Rural poverty alleviation is the mainstream form of poverty alleviation in China. For a long time, the evaluation of the performance of modern rural financial poverty alleviation is relatively lacking. Based on the purpose of the project, this paper evaluates both economic and social aspects, and analyzes the poverty alleviation performance of 12 typical poor villages in Jilin Province, Hunan Province, and Inner Mongolia Autonomous Region from 2016 to 2019 through data envelopment method. According to the results obtained, it is further pointed out that in the rural poverty alleviation work, adjustments and optimizations should be made in terms of carrying out poverty alleviation in characteristic industries and improving the expenditure structure.

Research on the precise positioning system of financial tech in big data and blockchain model

After the beginning of the comprehensive implementation of targeted poverty alleviation, social livelihood issues have been comprehensively improved, but the actual poverty alleviation system still exists data tampering, information opacity and other problems, resulting in poverty alleviation work cannot play its role. The direct application of big data technology and blockchain mode to targeted poverty alleviation can guide the rapid development of rural fintech. Therefore, on the basis of understanding the mode of big data and blockchain, this paper deeply discusses how to implement the precision positioning system of fintech based on the mode of big data and blockchain, according to the four innovations of targeted poverty alleviation by fintech in the new era.

Application of Ecological Planting and Breeding Mode in Guangxi based on Internet Plus

With the arrival of the Internet plus era, various industries are constantly exploring how to use the advantages of Internet plus to improve production efficiency and economic benefits. In the field of agriculture, the ecological planting and breeding model has received increasing attention and promotion in Guangxi due to its environmentally friendly, healthy and safe characteristics. The article will take Internet plus as the background to build a scientific planting and breeding ecological model, discuss the application of the ecological planting and breeding model of "enterprise+ breeding farm+ farmers" in Mashan County, Guangxi, and put forward development suggestions for the challenges facing the model. Strengthening the organic combination of ecological planting and breeding model and Internet technology can further exert its advantages and promote the sustainable development of ecological environment and economy, It is of positive significance for promoting the development of the planting and breeding industry in poverty-stricken areas and carrying out poverty alleviation work.

Feasibility Analysis of Social Work Participating in Rural Revitalization in the Post Poverty Alleviation Era

Currently, China has fully built a moderately prosperous society, and poverty alleviation work has entered the "post poverty alleviation era", marking the beginning of a new stage of "consolidating and expanding the achievements of poverty alleviation and effectively connecting with rural revitalization". The involvement of social work in rural revitalization can meet the diverse and multi-level needs of rural services, help consolidate the achievements of poverty alleviation and effectively connect with rural revitalization, and promote common prosperity. Based on the SWOT model, this article analyzes the feasibility of social work participating in rural revitalization in the post poverty alleviation era: the advantages (S) are the professionalism of value theory, the systematic approach to intervention, and the theoretical perspective conforms to the concept of rural revitalization; The disadvantage (W) is that the degree of localization is low, the service means are single, and the talent team construction is in trouble; Opportunity (O) is policy support and rural revitalization requires social work participation; Risk (T) refers to excessive government control and limited resource support. The participation of social work in rural revitalization should give full play to its professionalism, improve the level of localized services, cultivate a talent team of rural social workers, revitalize rural resources, promote the joint participation of multiple entities, and improve the mechanism of government supervision and purchase of services.

A Concerto Resonance Between the Chinese Zhuang Customs and the Topic of Poverty Alleviation: Exploring the Artistic Value and Spiritual Connotation of Zhuang Drama Huang Wenxiu

Huang Wenxiu is a Zhuang drama based on the poverty alleviation work of Huang Wenxiu, who is an outstanding selected graduate from Guangxi and also the first secretary of Baini village. The drama has not only humorous and emotional stage effects, strong romantic sentiment, and realistic critical spirit, but also typical characteristics of the era, vivid artistic images and a strong ethnic style. This drama embodies unique aesthetic values, vividly interpreting the values of the era and the spirit of Guangxi, highlighting the artistic consciousness and practical innovation of Zhuang drama art to express the era and eulogise it, and responding to the aesthetic expectations of the Zhuang ethnic group. Displaying the unique national spirit and the great spirit of the era in the narrative and stage presentation of the drama will also become a feasible path for the innovative development of Zhuang drama.

How Can the Rule of Law Help Targeted Poverty Alleviation

In the new era, poverty alleviation work is guided by precision poverty alleviation, with "true poverty alleviation and poverty alleviation" as its core. When implementing the targeted poverty alleviation policy, no matter from the precise identification or assistance measures and the setting of the assessment mechanism, specific legal guidelines are needed. Poverty reduction by the rule of law can not only make precision poverty alleviable by law, but also enable citizens to safeguard their due rights through the law. At the same time, poverty reduction by the rule of law has higher requirements for the legal literacy of poverty alleviation workers in order to better implement " Seek truth from facts and adapt to local conditions."

The basic features and contemporary values of anti-poverty theory with Chinese characteristics

Eliminating poverty, improving people's livelihood and gradually achieving common prosperity are the essential requirements of socialism with Chinese characteristics. Rooted in the anti-poverty practice with Chinese characteristics, the anti-poverty theory with Chinese characteristics is a process from practice to theory and back again, and is a scientific theory tested by anti-poverty practice, providing theoretical guidance and intellectual support for China's anti-poverty cause. The anti-poverty theory with Chinese characteristics is distinctly people-oriented, realistic, comprehensive, precise, innovative and universal. It is not only an important ideological guide and basic guideline for poverty alleviation work in the new era, but also a practical guide to fully start the road to modernisation and common prosperity, reflecting the special value of the times.

A Study on Credit Data-Based Poverty Alleviation in Rural Yunnan, China.

The main path of development credit funds in rural poverty alleviation in Y province is crucial. This paper studies the rural poverty alleviation work in extreme poverty areas in Yunnan and puts forward targeted and instructive policy suggestions for specific difficult areas. Research the relationship between credit resource allocation and rural poverty alleviation. The existing research is mainly based on the relationship between financial development and economic growth, income growth, income distribution, and, on the surface, the relationship between the scale of financial development and the efficiency of financial development and other indicators. The purpose is to put forward targeted measures and suggestions on the basis of theoretical research and model analysis to help the Yunnan banking industry support poverty alleviation. The results of the study show that there is a causal relationship between agriculture-related loans.

Performance Evaluation of Precision Poverty Alleviation with the Assistance of Wireless Communication Technology for Rural Revitalization

In the context of rural revitalization, it is imperative to evaluate the performance of poverty alleviation scientifically, which can not only promote the removal of poverty areas and their sustainable development but also comprehensively evaluate the achievements of targeted poverty alleviation work. In this work, the rough set and Support Vector Machine- (SVM-) related concepts are first introduced to establish the required index system. Long-Range Radio (LoRa) wireless communication technology is adopted to collect relevant data, rough set is utilized to preprocess the data, and the importance and relative weight of each indicator are calculated. After elimination of redundant indexes, a new decision table is established, and a prediction model of SVM is established. In parameter optimization, Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and grid search are employed. Experimental data show that the minimum error of GA is 1.82%, the test error is 5.11%, and the training error is 3.18%. The minimum error of PSO is 1.86%, the test error is 5.62%, and the training error is 3.15%. The minimum error of grid search method is 2.11%, the test error is 10.73%, and the training error is 2.34%. These three algorithms can optimize SVM parameters and effectively improve the performance evaluation results of targeted poverty alleviation by the model. By comparing the effect of the SVM model without rough set, it is found that the prediction accuracy of model can be improved by using rough set. Given the cross-validation error rate of the model and the predicted mean square error, GA is better than others. The established model makes up for the situation of strong subjectivity and low universal applicability in typical performance evaluation, enriches performance evaluation methods of targeted poverty alleviation, and is of certain practical reference value in performance evaluation of targeted poverty alleviation.

Ecological Environment and Poverty Governance Based on Deep Learning of Big Data

The ecological environment is the basic condition for human survival and development. Maintaining a good rural ecological environment is the basis for ensuring the sustainable development of agriculture and the rural economy, and it is the fundamental guarantee for helping poor rural areas to get rid of poverty and become rich. To solve poverty by developing tourism, the so-called tourism poverty alleviation has been studied for many years in the theoretical circles at home and abroad. Therefore, this article conducts research on China’s rural ecological environment management and poverty management based on big data deep learning, aiming to analyze the problems in China’s rural ecoenvironmental management and the challenges facing rural poverty governance and explore a way to achieve sustainable rural economic development and farmers’ poverty alleviation the best way. In the context of big data, environmental monitoring and governance have also ushered in innovative reforms. With the advantages of powerful information collection and data processing, big data provides comprehensive data and information support for environmental monitoring and governance. This article uses a survey method, data statistics method, literature analysis method, and case analysis method. Firstly, it briefly summarizes the main ecological and environmental problems and poverty management issues facing the rural areas of China. It then lists 5 successful poverty alleviation cases to investigate their poverty alleviation. The experience and methods of getting rich sum up the strategies that China can refer to for poverty alleviation. Finally, through the collection and compilation of online data, we have discovered the results achieved by China’s poverty alleviation work in recent years, i.e., by the end of 2019, our rural poverty population has been reduced to 5.1 million. Compared with 2013, there has been a reduction of approximately 90 million (Fang, 2019), however, at the same time, China’s poverty alleviation work has entered a stage of overcoming difficulties. The remaining poor people make it a long way to go. In short, improving the ecological environment to help rural poverty alleviation is a long-term people’s livelihood project, and it is also a research topic of great social significance. For this reason, the research in this article has a certain reference value.

Cognitive-Behavioral Differences Between Officials and Folks in China's Targeted Poverty Alleviation: An Evolutionary Game Theory Perspective.

China has historically eliminated absolute poverty and built a comprehensive well-off society through targeted poverty alleviation, at the end of which, however, many issues are worthy of scholars' attention kept emerging. A significant one was cognitive-behavioral differences between officials and folks regarding the procedure, standards, and methods of removing the poverty hats, which formed a new social dilemma called the official-folk game. Officials did not carry out targeted poverty alleviation work in strict accordance with the criteria specified by the government. In comparison, folks who have reached poverty elimination standards were unwilling to take off their poverty hats after targeted assistance due to the fear of returning to poverty. To fully explain this social dilemma, this study analyzes the causes of cognitive-behavioral differences between officials and folks in China's targeted poverty alleviation from the perspective of evolutionary game theory. The results show that bounded rational officials and folks will eventually get caught up in the prisoner's dilemma without exogenous factors' intervention. Furthermore, the study proposes that the government establish reasonable punishment, incentives, and supervision mechanisms to guide officials and folks and eliminate their cognitive-behavioral differences by investigating the influence of exogenous policy factors on the evolutionarily stable strategy (ESS) of the official-folk game. This finding not only reveals the formation mechanism of the cognitive-behavioral differences between officials and folks and presents an effective solution at the individual level but also provides a reference for other developing countries to overcome similar social dilemmas in the process of eliminating absolute poverty.

Corporate social responsibility and firm value: evidence from Chinese targeted poverty alleviation

PurposeWhilst the relationship between corporate social responsibility (CSR) and corporate financial performance has been well documented, CSR has rarely been studied from the perspective of corporate poverty alleviation. This study aims to test whether participation in targeted poverty alleviation (TPA) affects firms' market value and to explore how the magnitudes of market value vary in different CSR environments.Design/methodology/approachBased on recent Chinese TPA initiatives and on 108 TPA announcements of Chinese-listed firms from 2016 to 2020, this study adopts an event study method to investigate the impact of firm's TPA announcements on the firm's market value. Then, the authors construct a cross-sectional regression to analyse different CSR factors that may affect market reactions.FindingsThe results demonstrate that TPA announcements can increase a firm's overall market value. Additionally, the results show that TPA way and firm ownership significantly moderate the market reaction, namely the positive reaction is more significant when the TPA announcements involve charity poverty alleviation rather than industrial poverty alleviation and for privately owned firms rather than state-owned firms.Practical implicationsThe empirical results help TPA practitioners obtain a nuanced understanding of whether and when to participate in poverty alleviation is worthwhile. This study also provides a reference for poverty alleviation work in countries with similar backgrounds.Originality/valueThis study not only provides empirical evidence for the consequences of poverty alleviation behaviour of firms in developing countries, but also complements the field of CSR research in developed countries.

Using Improved BPNN to Predict the Time of Social Poverty Reduction under the Background of Internet

The world has been overturned by the power of the Internet, and all walks of life are constantly changing with the trend of the times. Therefore, with the help of the effective technology and means of the Internet, people can start from a more complex perspective. Analyze the social environment and economic situation, and focus on poverty. By actively monitoring the number of poor people in society, we can grasp the actual situation of poverty. Starting from the depths of the problem, aiming at the characteristics of poor groups, this paper excavates the scale data of poor people. Finally, the improved BP neural network model is used to predict the time when the society gets rid of poverty and reduces poverty. The results show the following: (1) After P value judgment and T value test, the experiment determined 12 indicators and proportion of poverty. The most prominent indicators of contribution rate are T2, T4, and T5. The most significant changes in T test results were T8 and T12. (2) The reformed BP network has less iteration times, shorter training time, and higher prediction accuracy. The network converges 30 times, and the fitting accuracy reaches the best, and the ideal state is 0.000936578. Training the poverty alleviation data from 2016 to 2020 with the model, the final poverty alleviation work has achieved remarkable results. (3) According to the hidden layer nodes of neural network structure, the final number of hidden layer nodes is determined to be 11. (4) Comparing the absolute error and APE error of the prediction results. The predicted value is very close to the actual value, which can correctly reflect the mapping relationship of poverty reduction and the result is reliable. (5) Compare the predicted values of BPNN model before and after modification; it is found that the new BPNN model is more accurate in prediction. The predicted population is close to the actual population, and the error level curve approaches 0%. After empirical test, the improved BPNN model is accurate and effective. Through the poverty reduction prediction of the model, people can observe the actual situation more intuitively. By evaluating the effectiveness of social poverty alleviation, we can optimize the next poverty alleviation strategy and adjust the strategic policy.

A Statistical Analysis Model of Big Data for Precise Poverty Alleviation Based on Multisource Data Fusion

This paper adopts the method of multisource big data fusion to conduct an in-depth study and analysis of precision poverty alleviation and uses big data statistical analysis model to explore and analyze it. Combining the characteristics of big data itself and the development of precision poverty alleviation, it focuses on the exploration of big data and introduces the background, development status, and achieved results of poverty alleviation with typical cases, followed by the analysis of the problems in the process of big data precision poverty alleviation and the study of the improvement path of big data technology precision poverty alleviation. Through the comparative analysis of the simulation accuracy of three models, the results show that the random forest model has the lowest error rate, after which the importance degree of indicators is derived using the model. In addition, the empirical analysis of the preprocessed sample data for multidimensional identification of poor households yields the contribution rate of each dimensional indicator that leads to multidimensional poverty of farm households, establishing scientific judging criteria to accurately judge whether farm households are poor on the one hand and selecting accurate identification methods to achieve accurate identification of poor households on the other hand. The tenfold crossover method is used to verify the errors in the test sample set. When the number of classification trees is greater than 100, it will gradually increase. Therefore, it is most appropriate to select the number of trees as 100. The multidimensional accurate identification model of farm household poverty constructed in this paper has an accuracy rate of 90.26% for the identification of poor households. By analyzing the accuracy rate of model identification and the contribution rate of multidimensional indicators leading to the poverty of farm households at the same time, the poverty degree of farm households under each dimensional indicator is derived, to accurately identify the poor households and their poverty status. The results show that the multidimensional accurate identification model of farm household poverty has the accurate identification ability and application value in the identification problem of poor households, and through the implementation of the model algorithm, a good application environment of accurate identification of poverty is created, which provides technical support to help poverty alleviation work and improve the accuracy of identification of poor households.

Research on the Mode and Practice Path of Improving the Efficiency of Targeted Poverty Alleviation under Multi party Participation--Take China Evergrande Group as an Example

With the deepening of poverty reduction in China, the situation is becoming more and more complex, which requires the active participation of all parties to give full play to their own advantages in order to solve the poverty problem more efficiently. Based on Evergrande Group's research on the poverty alleviation work in Dafang County, Guizhou Province, this paper discusses how to improve the efficiency of participating in targeted poverty alleviation through multi-party cooperation. Evergrande Group's poverty alleviation practice in Dafang County includes dispatching full-time poverty alleviation teams to help the poor through industries, relocation, education, employment and other means. Through these means of poverty alleviation, a set of clear ideas are provided for enterprises to participate in poverty alleviation: the key to poverty alleviation is talents, education and training of talents, full use of human resources, multi-party cooperation and efficiency improvement. Whether it is to get rid of poverty or become rich, it is all about people. The government pays attention to fairness, the enterprise pays attention to efficiency, and the education pays attention to the future. The targeted poverty alleviation with the participation of multiple parties can give play to their respective advantages and improve the resource utilization efficiency of the whole society.