International tourism and poverty alleviation: cross-country evidence using panel quantile fixed effects approach

This paper evaluates the impact of tourism on poverty alleviation using a new panel quantile fixed effects method that allows regressors to affect the entire conditional distribution of the dependent variable providing substantial information gains. Our results show statistically significant negative marginal effects of tourism on both absolute poverty measures and Gini income inequality across all quantiles, including the poorest 10%. We also find evidence that international tourism can mitigate the slow improvement in domestic income level for poverty reduction. From a policy perspective, our findings can provide insights into developing targeted tourism policies and strategies to achieve better solutions on poverty alleviation. We also call for special attention to policymakers in developing countries to continue working on tourism product differentiation and targeting a smaller but reachable market in the post COVID-19 recovery era, to prevent the adverse effect of the worldwide income growth stagnation on their poverty rates.

Understanding the Predictors of Low Take-Up of the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC): A Nationwide Longitudinal Study.

INTRODUCTION: The Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) is among the largest U.S. social safety net programs. Although strong evidence exists regarding the benefits of WIC, take-up (i.e., participation among eligible individuals) has steadily declined in the past decade. This study addresses gaps in our knowledge regarding predictors of WIC take-up during this time. METHODS: Data were drawn from the 1998-2017 waves of the National Health Interview Study (NHIS), a serial cross-sectional study of the U.S. POPULATION: The analytic sample included 23,645 children and 10,297 women eligible for WIC based on self-reported demographic characteristics. To investigate predictors of WIC take-up, we regressed self-reported WIC receipt on a range of individual-level predictors (e.g., age, nativity, income) and state- level predictors (e.g., unemployment rate, governor's political affiliation) using multivariable logistic regression. In secondary analyses, results were additionally stratified by race/ethnicity, time period, and age (for children). RESULTS: For both women and children, older maternal age and higher educational attainment were associated with decreased take-up of WIC. Associations differed by race/ethnicity, time period, and state characteristics including caseload of other social programs (e.g., Medicaid). DISCUSSION: Our study identifies groups that are less likely to take up WIC benefits for which they are eligible, thereby contributing important evidence to inform programs and policies to increase WIC participation among groups with lower take-up. As WIC evolves past the COVID-19 pandemic, special attention will be needed to ensure that resources to encourage and support the participation of racially and economically marginalized individuals are equitably distributed.

Artificial Intelligence: Poverty Alleviation, Healthcare, Education, and Reduced Inequalities in a Post-COVID World

On October 25, 2015, the General Assembly of the United Nations (UN) set forth an agenda which included 17 Sustainable Development Goals (SDGs) and 169 targets to transform the world by 2030. The agenda set forth a plan of action that recognized a myriad of challenges which, if surmounted, could empower people, benefit the planet, and create an impetus for worldwide prosperity. Due to the coronavirus pandemic and its economic and social fallout, the world today is not on track to attain the SDGs by the year 2030. However, the disruptive impact of the pandemic on many areas of life among other things was in a sense a "game changer” with respect to our (human) approaches to artificial intelligence (AI) and to AI itself. The global pandemic caused a major shift with regard to AI. It revealed that in this day and time AI is a necessity for the flourishing of humanity worldwide. It is no longer a luxury. Developed and developing countries alike were caught unaware by the COVID disruption. All experienced gaps in healthcare and education delivery and increased poverty in one form or another. In this situation, AI turned out to be not merely useful, it quickly proved itself to be indispensable. In a world that is still struggling to recover from the pandemic, AI has and will continue to play a major role in transforming the work of poverty alleviation, hence affecting the advancement of the poverty-related SDGs. The chapter will present examples of AI implementation in areas of the world where poverty is significant: China, India, and two countries in Africa. It will look at rural poverty specifically, although urban poverty is growing at expediential rates, and examine how AI has affected the work of alleviating poverty through improving healthcare delivery and strengthening access to education. The analysis will delve into the advancement of specific SDGs with the use of AI, such as SDG #1 no poverty, SDG #3 good health and well-being, SDG #4 quality education, and SDG #10 reduced inequalities. Finally, this chapter will draw policy implications for the work of fighting extreme poverty in a post-COVID and increasingly AI-enabled world. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Assessing the impact of COVID-19 and related interventions on poverty and economic growth in Pakistan: A structural path analysis

This study uses social accounting matrix multipliers and structural path analyses to estimate effects of COVID-19 and related fiscal stimuli on five household groups. The COVID-19 lockdown increased poverty in Pakistan by 15%, which was addressed using a $1.5 billion, digitally implemented Ehsaas Emergency Cash (EEC) program that reached 14.8 million poor households. The study's models show that the largest multipliers from Ehsaas program finance were in agriculture, as a 1 Rupee shock adds 0.225 Rupee income to households. About 30% of that gain was estimated to go to poor farm families. In contrast, our models find that construction and trade growth added three times as much income to poor nonfarm and urban households as to farm households. However, those sectors added only one third as much total income as agriculture. From the structural path analysis, the importance of capital assets in generating income was seen, as was the possibility of greater poverty reduction from sectors with proportionally fewer intermediate inputs and more value added. © 2023 The Authors. Applied Economic Perspectives and Policy published by Wiley Periodicals LLC on behalf of Agricultural & Applied Economics Association.

China: The Bankable State

The volume on China: The Bankable State rejects neoliberal consensus and focuses on crucial contributions of the Chinese state in shaping Chinese economy. This book makes crucial theoretical contributions to the study of local political economy of China. This book engages with Chinese state responses to challenges China faces in the processes of reform, transition and development of both commercial and non-commercial banks. This book explores Chinese economic growth and development policy processes and its uniqueness in the wider world economy. The book examines Chinese financial policy praxis and offers an insightful account of its successes for the wider resurgence of alternative political economy of local development. Additionally, this book also showcases state led entrepreneurship in China. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021.

Law, South African Mothers Living in Poverty and the COVID-19 Pandemic

Sometimes being a mother in tough economic times can be a challenge. Socio-economic demands occasioned by the COVID-19 pandemic have been especially cumbersome for mothers already living under conditions of poverty. Since the beginning of 2020 the pandemic has further exacerbated the daily struggles of the poor during periods of economic uncertainty, disease and death. Conscious of this additional socio-economic pressure and to lessen the financial burden carried by mothers living in poverty, the South African state introduced a COVID-19 relief Child Support Grant to assist during this trying period. This article explores the role played by law in poverty discourse where mothers are concerned. It is suggested here that the conceptualisation of poverty in law, at least where mothers are concerned, is limited by law's neglect of the socio-political identity of women as mothers, which is rooted in history. This failure reaffirms that law is implicated in contemporary socio-economic inequalities. © 2023, North-West Unversity. All rights reserved.

Effects of Targeted Poverty Alleviation on the Sustainable Livelihood of Poor Farmers

It is crucial to conduct a comprehensive evaluation of the effectiveness of targeted poverty alleviation (TPA) policies in promoting sustainable livelihoods among impoverished populations, particularly in light of the COVID-19 pandemic. The existing literature, however, predominantly focuses on assessing the policies' effectiveness in terms of income, while neglecting other critical dimensions of sustainable livelihoods. In line with sustainable livelihood theory, we utilized data from the Chinese Household Financial Survey Database from 2017 and 2019 and employed a fuzzy regression discontinuity (FRD) method to systematically examine the implementation outcomes of TPA policies through the lens of "capability-strategy-results”. Our analysis revealed that the implementation of TPA policies had a positive impact on the ability of poor households to cope with unexpected shocks, as evidenced by an increase in the accumulation rates of material, social, and financial capital. Furthermore, we observed an optimization of livelihood strategies among poor households, with a significant increase in the proportion of wage income. These policies also had a positive impact on their livelihood outcomes, such as a reduced likelihood of falling back into poverty and an increased possibility of escaping from marginal poverty without relying on government subsidies;however, some limitations require attention. Notably, our analysis revealed that the policies did not effectively improve the human capital of poor households. To further explore the heterogeneity of policy effects, we categorized poor households into three groups based on their farmer's market participation ability and willingness. Our findings indicate that TPA policies effectively reduced poverty among households lacking labor force through government subsidies and saw an increase in the proportion of medical insurance reimbursement;however, households lacking motivation or capability did not experience positive outcomes in the short term. Therefore, future support policies should prioritize these vulnerable groups and monitor their progress closely. Moreover, our analysis revealed that migrant work is the primary livelihood strategy among the poor, and stabilizing their employment faces significant challenges amid the COVID-19 pandemic. Consequently, additional policies and interventions are needed to address the adverse impact of the pandemic on the employment and livelihoods of low-income households. © 2023 by the authors.

Developmental changes in and the relationship between psychological resilience and mental health problems in adolescents relocated for poverty alleviation in the context of COVID-19 epidemic prevention and control.

Background: Adolescents relocated for poverty alleviation have considerable mental health problems (MHPs) in the context of changing living environments and COVID-19 epidemic prevention and control, and psychological resilience (PR) is closely related to MHPs. Existing studies have mainly used cross-sectional research to investigate the relationship between PR and MHPs using PR as a predictor variable. Objective: This study investigated developmental changes in the PR and MHPs of relocated adolescents as well as the relationship between these factors. Methods: A longitudinal study was conducted to assess the PR and MHPs of 1,284 relocated adolescents. Data were collected at approximately 12-month intervals at three time points: spring of 2020 (T1), spring of 2021 (T2), and spring of 2022 (T3). The 1284 adolescents consisted of 620 males and 664 females; 787 were in the fourth grade of elementary school, 455 were in the first grade of middle school, and 42 were in the first grade of high school. The collected data were analyzed using SPSS 25.0 and Mplus 8.1 and methods such as latent growth models and cross-lagged regression analysis. Results: (1) The PR level of relocated adolescents showed an overall increasing trend (slope = 0.16, p < 0.01), while the MHPs showed an overall decreasing trend (slope = -0.03, p < 0.01). (2) The initial PR level differed significantly from the initial MHPs level (ß = -0.755, p = 0.00), and the rate of change in PR differed significantly from the rate of change in MHPs (ß = -0.566, p = 0). The initial MHPs level differed significantly from that of PR (ß = -0.732, p = 0.00), and the rate of change in MHPs differed significantly from the rate of change in PR (ß = -0.514, p = 0.00). (3) Among the three sets of measurements of PR and MHPs, there were significant pairwise differences. Conclusion: (1) The PR level of relocated adolescents increased over time, and the MHPs of relocated adolescents decreased over time. (2) The initial PR level of relocated adolescents had a negative predictive effect on the initial MHPs level, and the rate of change in PR had a negative predictive effect on the rate of change in MHPs. (3) The PR and MHPs of relocated adolescents exhibited a bidirectional, mutually influencing relationship.

The impact of the COVID-19 pandemic and pandemic-related policies on new firm creation: an analysis of the Italian case

This work contributes to disaster research by exploring the impact on new firm creation of the COVID-19 pandemic and the pandemic-related policies. We develop hypotheses on the individual and combined effects of pandemic severity and public policies aimed at controlling the spread of the disease (shutdown policies) or protecting the economy from its negative consequences (demand stimulus and firm support policies). Then, we test these hypotheses using data on Italy in the first and second 2020 pandemic waves. Results show that pandemic severity negatively affected new firm creation during the first wave. Shutdown policies had negative effects too, especially in the regions where the pandemic was less severe. The effects of demand stimulus policies were positive and stronger the less severe the pandemic was while the impact of firm support policies was negative in the regions where the pandemic was more severe. All these effects vanished in the second wave.Plain English SummaryDisasters cause slowdowns in new firm creation that disaster recovery policies may aggravate or alleviate. Our analysis of the effects of the COVID-19 pandemic in Italy reveals that this major disaster resulted in a large drop in new firm creation rates. During the first pandemic wave, the drop was concentrated in the regions where the pandemic was more severe. Examining the effects of the shutdown policies implemented to contain the spread of the disease and the measures designed to protect the economy provides useful guidelines for policymakers. First, we show that shutdown policies inhibit new firm creation. Policymakers can however alleviate this negative effect by implementing less strict measures in the areas not severely affected by the disaster. Second, despite we understand that policymakers need to provide relief to existing firms in the most affected industries to avoid business failures, we indicate they should simultaneously invest in stimulating demand in these industries to sustain also new firm creation.

Does anti-poverty intervention strengthen mental resilience? Evidence from the COVID-19 shock on targeted poverty alleviation program in China

Resilience is beneficial for poor households to overcome the negative shocks and shake off the poverty trap completely in the long run. In this article we evaluate the impact of poverty alleviation intervention on mental resilience by exploiting the natural experiment of the COVID-19 shock. Using the survey data collected in early March 2020 from underdeveloped region in West China, we address the impact of targeted poverty alleviation program (TPAP) on confidence level of off-farm and total income recovery using the difference-in-difference method. We find that the program enhances mental resilience for the out of poverty households rather than the in poverty households, especially in terms of confidence level of off-farm income recovery. In addition, we also find that proactivity of employment takes account of the impact of TPAP on confidence level of off-farm income recovery.

Can Mobile Payment Increase Household Income and Mitigate the Lower Income Condition Caused by Health Risks? Evidence from Rural China.

China has moved into a new stage of its fight against poverty, where the further raising of rural household income is of great importance. Health risk is one of the biggest obstacles to the poverty reduction progress. Therefore, how to cope with the negative effects of health risks has attracted the attention of scholars, especially in the background of the global outbreak of COVID-19. In this paper, we try to explore whether mobile payment, a new form of payment, can improve the income of rural households and mitigate the lower income condition caused by health risks in China. Using data from the 2017 China Household Finance Survey, we found: (1) mobile payment can substantially increase rural household income; (2) health risks will lower the income of rural residents, but mobile payment can lessen this negative effect. Mechanism analysis indicates that mobile payment is likely to ease liquidity constraints, increase social interaction, and stimulate entrepreneurship for rural households. We advised the government to promote mobile payment adoption in rural areas and enhance its design. Additionally, better medical resources should also be made available to rural households.

COMPARISON OF SIMULTANEOUSLY NONPARAMETRIC REGRESSION BASED ON SPLINE AND FOURIER SERIES ESTIMATOR RELATED SOCIAL AID DISTRIBUTION IN INDONESIA

Several estimators in the nonparametric regression approach that are often used are the Spline estimator and the Fourier series. Both estimators have high flexibility and can adapt to the local nature of the data effectively. This study applies these two methods to compare the best performance of the formed model. The data used in this study are multi-response data in the form of types of government assistance and multi-predictor data in the form of factors that are thought to affect the distribution of aid receipts in the community. This research is important to optimize the distribution of welfare assistance in Indonesia, especially during the Coronavirus Disease-19 (Covid-19) pandemic. By using the Generalized Cross-Validation (GCV) criteria for the parsimony model, the estimator chosen to predict the distribution of welfare assistance in Indonesia is the Fourier series estimator with cosine and sine bases. The goodness of the nonparametric regression model with the Fourier series estimator can be seen from the minimum GCV value generated with one oscillation parameter, which is 1.483961, with a Mean Square Error (MSE) of 2.1257374, and R2 of 0.923143. The prediction results are expected to be the government's recommendation for the restoration of community welfare through equitable distribution of aid to support the achievement of the Sustainable Development Goals (SDGs). © 2022 the author(s).

Celebrating World Tourism Day 2021 focus on inclusive growth

This article looks at the theme adopted by the United Nations World Tourism Organization (UNWTO) for the 2021 World Tourism Day, which is "Tourism for inclusive growth". Inclusive growth primarily entails economic growth that creates employment opportunities by scaling up and bolstering different sectors of tourism which in turn helps in reducing gap between the rich and the poor and reduces poverty through forward and backward linkages. Also discussed are the impacts of the COVID-19 pandemic and the prospects of the tourism sector to bounce back.

Estimates of multidimensional poverty for India using NSSO-71 and -75

We measure multidimensional poverty in India using National Sample Survey Organization data from 2014-15 to 2017-18. We use income, health, education, and standard of living to measure the MPI. The MPI headcount declined from 26.9 to 13.75 per cent over the study period. The all-India estimates indicate that 144 million people were lifted from poverty during this period. We include different health dimensions, factoring in insurance, institutional coverage, antenatal care, and chronic conditions. Income is the dominant instrument with the highest contribution to the MPI, followed by insurance. Cooking, sanitation, and education also have significant weights. The decline in deprivation is steeper in rural areas than urban areas. Our state-level estimates reveal that 20 states report less than 10 per cent headcount poverty, up from six states. COVID-19 may lead to reversals of these gains, with poverty rising to pre-2014-15 levels, rising more steeply in rural areas.

Analysis on Cooperation Relationship of Poverty Alleviation Organizations in Sichuan Province Based on Link Prediction

Poverty eradication is the common ideal of mankind. Currently, as COVID-19 continues to rage around the world, the cause of poverty reduction faces greater challenges. Poverty reduction requires the involvement of multiple parties, and the challenging nature of it determines the complexity of participation in poverty reduction cooperation. In this paper, the link prediction method is used to calculate the path similarity in the network and use the Katz index to predict the connection possibility between unknown links in the poverty alleviation network. Take Sichuan Province as a case to analyze and put forward cooperation suggestions. The results show that in the entire network, all anti-poverty organizations recommend cooperation with one of the government departments, local schools, state-owned enterprises and high quality schools. Among them, government departments and local schools are the most recommended organizations. After the overall victory in the fight against poverty, the governance of relative poverty still requires continuous attention. Through our research, we hope to contribute to a better construction of a new poverty reduction system under the new poverty model. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Heart-targeted amelioration of sepsis-induced myocardial dysfunction by microenvironment responsive nitric oxide nanogenerators in situ.

BACKGROUND: A balanced endogenous level of bioavailable nitric oxide (NO) plays a key role in maintaining cardiovascular homeostasis. The bioactive NO level in the cardiomyocytes was much reduced during sepsis. However, it is clinically challenging for the NO gas therapy due to the lack of spatial and temporal release system with precise control. The purpose of this study is to design a NO-releasing biomaterial with heart-targeted capability responsive to the infectious microenvironment, thus ameliorating lipopolysaccharide (LPS)-induced cardiac dysfunction. RESULTS: The heart-targeted NO delivery and in situ releasing system, PCM-MSN@LA, was synthesized using hollow mesoporous silica nanoparticles (MSN) as the carrier, and L-arginine (LA) as the NO donor. The myocardial delivery was successfully directed to heart by specific peptide (PCM) combined with low-intensity focused ultrasound (LIFU) guidance. The myocardial system synthesized NO from the LA released from PCM-MSN@LA in the presence of increased endogenous nitric oxide synthase (NOS) activity induced by LPS. This targeted NO release in situ achieved extraordinary protective effects against LPS-challenged myocardial injury by reducing the recruitment of inflammatory cells, inhibiting oxidative stress and maintaining the mitochondria integrity. In particular, this protection was not compromised by simultaneous circulation collapse as an adverse event in the context. CONCLUSIONS: PCM-MSN@LA + LIFU exhibited extraordinary cardioprotective effects against severe sepsis in the hearts of LPS-treated animals without the side effect of NO diffusion. This technology has great potential to be served as a novel therapeutic strategy for sepsis-induced myocardial injury.

Small matching grants for women entrepreneurs: lessons from the past recession

During the economic slowdown caused by the financial crisis in 2008, grants for entrepreneurs were made available to support economic development. Whether such a policy instrument is effective for business development is a highly relevant question in the aftermath of the COVID-19. We evaluate the causal effects of small business development matching grants using a quasi-experimental approach. The grants were exclusively targeted to women entrepreneurs and provided during the recession after the financial crisis. Our findings demonstrate an increase in bank loans and a positive impact on turnover, value-added, capital, employment, and overall factor productivity for more experienced women entrepreneurs. As the grants are too small to have direct economic effects or indirect effects via the certification effect, they alleviate time and information constraints of women entrepreneurs. The cost-benefit analysis shows an increase in value-added that outweighs the scheme-related costs.Plain English SummaryThis study evaluates the effect of small public grants for women entrepreneurs. Grants were used for childcare and business consultancy costs to alleviate time and information constraints of women entrepreneurs. Benefiting from these grants resulted in higher bank loans. The women entrepreneurs on average invested more money in capital and had better performance measures like turnover and value-added. The effect was particularly evident among more experienced women entrepreneurs. The cost-benefit analysis shows grant-induced increase in value-added outweighs the scheme-related costs. The study implies small public grants for women entrepreneurs increase small firms’ growth, and these grants are in addition a cost-effective policy tool.

THE IMPACT OF COVID-19 PANDEMIC ON THE GLOBAL ECONOMY: EMPHASIS ON POVERTY ALLEVIATION AND ECONOMIC GROWTH

The COVID-19 pandemic has devastated the global economy, which has rendered many of the world's population impoverished. Moreover, the pandemic has generated some uncertainties regarding economic and social policies. This phenomenon is lately the brunt of every government across the globe. This present study seeks to evaluate the pandemic's impact on poverty alleviation and the global GDP by considering individual countries' heterogeneous effects in a panel study. The motivation is to unravel the social and economic effects on the global economy. However, 170 countries are utilized in this study, and econometric panel techniques such as OLS and robust least square regression methods are utilized. The data was collected from OurWorldindata.com, comprising total COVID-19 cases, total deaths, stringency index, human development index, and gross domestic product per capita. The study's findings stipulate that many people's stringency and the contraction of the disease have inversely affected poverty alleviation and economic growth. Nevertheless, for the deaths recorded so far positively affects both poverty alleviation and economic growth. This development signals the essence of controlling population growth as it impedes economic growth and poverty alleviation. The study recommends that governments invest in health and education improvement and stimulate their economies to create employment that could propagate growth to improve poverty alleviation and economic growth.

Questionnaires assessing the anxiety alleviation benefits of indoor plants for self-isolated population during COVID-19

Indoor plants have great benefits to humans, including physical health, cognition and emotion through their repair and purification capabilities, but most of these positiv e effects have not been quantified and valued. In this study, the Corona Virus Disease 2019 (COVID-19), when people must be self-isolated at home and avoid outdoor activities in China, was utilized adequately and the influence of indoor plants was analyzed via the 2031 valid questionnaires, in which indoor plant status, interest degree, interaction frequency and anxiety alleviation were surveyed. Results showed that indoor plants were widely cultivated especially in the living room. Compared to before the COVID-19, the interest degree with indoor plants increased by similar to 33% and their overall interaction frequency increased by similar to 78% during the COVID-19. More than 70% of the surveyed people exhibited anxiety during the COVID-19, and the overall anxiety level was 1.17 (between 'Slight anxiety' and 'Anxiety'). And similar to 61% of the surveyed people supported that indoor plants could alleviate self-isolation anxiety, and the anxiety alleviation degree was 0.79 (tend to 'Releasing the certain anxiety'), which showed that indoor plants had also shown to have an indirect psychological effect on anxiety alleviation.

Construction and Cultivation of Rural Tourism Supply Chain from the Perspective of Poverty Alleviation under the Background of Rural Revitalization

In 2020, COVID-19 outbreak in China near the Spring Festival, the tourism industry was pressed "pause key". The tourism suppliers have been affected to varying degrees, especially in poor rural areas with a single industrial structure and high tourism dependence, the risk of deepening poverty or returning to poverty has increased dramatically. This paper aims to explore and expands the diversified income increasing space to the rural poor, help to realize the effective connection of the poverty alleviation achievements and rural revitalization, to ensure the sustainable development of rural tourism, besides, to providing experience and reference to other poor rural areas and even the world's poverty reduction. Literature review method, case study and field survey method, brainstorming method, supply chain reverse tracing methods are used to collect and analyze data. We take a diachronic field survey of the rural TSC in north western Yunnan, China. This paper build a complete TSC system under the framework of "industry-element-channel-mechanism-guarantee", and explores the operation mechanism of rural TSC guiding rural poverty reduction, discovering the ways in which the rural poor mainly participates in the TSC, which can further clarify and expand the diversified income increasing space to the rural poor population. Then we summarizes the current difficulties faced by the chain in the practice of poverty reduction;finally, based on the perspective of the poor, the rural TSC extension, sharing, customization, localization, talent cultivation and green supply chain countermeasures are proposed. © 2021 Kriedt Enterprises Ltd. All Rights Reserved.