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14 pages, 596 KiB  
Article
The Links Between Community-Based Financial Inclusion and Household Food Availability: Evidence from Mozambique
by Aweke Tadesse, Kenan Li, Jesse Helton, Jin Huang and David Ansong
Foods 2025, 14(2), 212; https://doi.org/10.3390/foods14020212 - 12 Jan 2025
Viewed by 321
Abstract
Financial inclusion can boost wealth, health, and quality of life. However, few studies have examined how women’s participation in community-based financial inclusion opportunities, such as village saving and loan groups (VSLGs), relates to household food security. Using program data from central Mozambique, this [...] Read more.
Financial inclusion can boost wealth, health, and quality of life. However, few studies have examined how women’s participation in community-based financial inclusion opportunities, such as village saving and loan groups (VSLGs), relates to household food security. Using program data from central Mozambique, this study examined whether low-income women’s participation in VSLGs directly increases household food availability, as well as indirectly through increased asset ownership. Employing a post-test-only comparison group quasi-experimental design, the study sampled 205 female VSLG participants and non-participants from three sub-villages in Mozambique’s Sofala province. Structural equation modeling (SEM) results indicated that low-income women’s participation in VSLGs is directly associated with a reduction in household hunger score (β = −0.21, p < 0.01), as well as indirectly associated through the mediating role of household assets ([Sobel indirect effect] = −0.06, p = 0.05). The VSLG participants showed a significant increase in household asset ownership compared to non-VSLG participants (β = 0.15, p < 0.05). Further, increased asset ownership significantly correlated with a lower probability of household hunger (β = −0.30, p < 0.01). The results suggest that community-based financial inclusion approaches could improve the availability of food through asset building among Mozambique’s low-income women. The study offers a potential strategy for policymakers and development experts to utilize community approaches to financial inclusion to improve rural and low-income women’s livelihoods. Full article
(This article belongs to the Section Food Security and Sustainability)
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<p>Conceptual framework illustrating the relationships between participation in VSLG, household assets (HAs), and food availability (HHS) among women in Mozambique.</p>
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<p>SEM complete mediation. Significance level: * <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001.</p>
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17 pages, 2677 KiB  
Article
The Role of Livelihood Assets in Affecting Community Adaptive Capacity in Facing Shocks in Karangrejo Village, Indonesia
by Gunawan Prayitno, Aidha Auliah, Achmad Efendi, Ainul Hayat, Aris Subagiyo and Aulia Putri Salsabila
Economies 2025, 13(1), 13; https://doi.org/10.3390/economies13010013 - 8 Jan 2025
Viewed by 234
Abstract
This study addresses a theoretical gap by examining how multiple livelihood assets collectively enhance rural communities’ adaptive capacity and contribute to rural resilience theory. Using structural equation modeling, data were collected from June to August 2024 from 372 randomly selected households in Karangrejo [...] Read more.
This study addresses a theoretical gap by examining how multiple livelihood assets collectively enhance rural communities’ adaptive capacity and contribute to rural resilience theory. Using structural equation modeling, data were collected from June to August 2024 from 372 randomly selected households in Karangrejo Village, Indonesia, to test whether livelihood assets significantly influence adaptive capacity in response to diverse economic, social, and environmental shocks. The findings reveal that human, natural, physical, and social capital show a strong, positive effect on adaptive capacity, whereas financial capital alone does not significantly enhance resilience. Despite the limited geographic scope, the results underscore that comprehensive asset combinations—rather than reliance on a single form of capital—strengthen a community’s capacity to withstand shocks. This integrated perspective suggests that balanced investments across multiple forms of capital foster sustainable and flexible adaptation strategies, enabling communities to navigate uncertainty and maintain stability. The study highlights the critical importance of diversifying livelihood assets to foster long-term rural resilience and improve quality of life, offering practical insights for policymakers, practitioners, and researchers in developing holistic interventions that support adaptive capacity. Full article
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<p>Research hypotheses.</p>
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<p>Study area. Source: (<a href="#B48-economies-13-00013" class="html-bibr">Geospatial Information Agency of Indonesia, 2024</a>).</p>
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<p>Outer model.</p>
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<p>Inner model.</p>
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24 pages, 4808 KiB  
Article
Climate Variability and Adaptation Strategies in a Pastoralist Area of the Eastern Bale Zone: The Case of Sawena District, Ethiopia
by Mesfin Bekele Gebbisa and Zsuzsanna Bacsi
Appl. Sci. 2025, 15(1), 69; https://doi.org/10.3390/app15010069 - 25 Dec 2024
Viewed by 414
Abstract
This study was conducted in Sawena district, located in the Eastern Bale Zone of Ethiopia, with the aim of analyzing climate variability and identifying adaptation strategies. Secondary data covering the period from 1984 to 2023 were utilized, along with structured and unstructured questionnaires. [...] Read more.
This study was conducted in Sawena district, located in the Eastern Bale Zone of Ethiopia, with the aim of analyzing climate variability and identifying adaptation strategies. Secondary data covering the period from 1984 to 2023 were utilized, along with structured and unstructured questionnaires. Primary data were gathered from 350 pastoralist households across six kebeles through a household survey. This study used the Mann–Kendall test, Sen’s slope estimator, the coefficient of variation, descriptive statistics, and a multivariate probit model to analyze climate variability and adaptation strategies. The Mann–Kendall test, Sen’s slope estimator, and coefficient of variation analysis results showed significant rainfall increases in September, October, and November, with high winter variability and an upward autumn trend. Temperature analysis revealed consistent warming, with the greatest increases in September (0.049 °C/year) and summer (0.038 °C/year), and an annual mean rise of 0.034 °C per year, indicating climate shifts affecting pastoralist and agro-pastoral livelihood strategies and water resources that lead the area toward vulnerability. The descriptive results indicated that pastoralist households have adopted various adaptation strategies: 45.1% participate in seasonal livestock migration, 26.3% rely on productive safety net programs, 19% pursue livelihood diversification, and 9.7% engage in agroforestry. Multivariate analysis indicates that education, age, credit access, livestock ownership, asset value, and media exposure influence these strategies. The findings highlight the importance of policies to enhance climate resilience through diversification, sustainable land management, and improved access to resources like credit and markets, alongside strengthened education and targeted extension services. Full article
(This article belongs to the Special Issue Potential Impacts and Risks of Climate Change on Agriculture)
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<p>Map of the study area. Source: authors’ own construction.</p>
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<p>Trend of winter season rainfall.</p>
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<p>Trend of spring season rainfall.</p>
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<p>Trend of Summer season rainfall.</p>
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<p>Trend of autumn season rainfall.</p>
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<p>Trend of annual rainfall in Sawena district.</p>
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<p>Trend of winter season temperature.</p>
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<p>Trend of mean annual temperature.</p>
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<p>The most common adaptation and coping strategies of households in Sawena district. Source: authors’ own computation.</p>
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19 pages, 2943 KiB  
Article
Quantifying the Impact of Nonmaterial Services Increasing on Household Livelihood and the Value of Ecosystem Assets—An Example of the Yunhe Terrace Ecosystem
by Pu Li, Yanbing Liu and Zhiyun Ouyang
Sustainability 2025, 17(1), 47; https://doi.org/10.3390/su17010047 - 25 Dec 2024
Viewed by 317
Abstract
Balancing ecological conservation and economic development is a significant global challenge, particularly in developing countries where rich natural resources often coincide with impoverished areas. This study used the Yunhe Terrace as a case, integrating remote sensing data and statistical analysis to quantify the [...] Read more.
Balancing ecological conservation and economic development is a significant global challenge, particularly in developing countries where rich natural resources often coincide with impoverished areas. This study used the Yunhe Terrace as a case, integrating remote sensing data and statistical analysis to quantify the ecosystem asset value and its changes before and after ecological conservation efforts. Additionally, we assessed the nonmaterial service value and conducted a questionnaire survey to explore the impact of nonmaterial service value on the socio-economic development of local residents. The key findings are as follows: (1) The ecosystem assets of the Yunhe Terrace include four main types: forests, grasslands, wetlands, and cultivated land. In 2020, the Yunhe Terrace ecosystem was primarily composed of forest (56.79%) and cultivated land (36.61%), showing a balance between natural and modified landscapes. (2) The monetary value of ecosystem assets was calculated based on the economic net benefits of ecosystem assets over their expected useful lifespan (20 years in this study). The value of the Yunhe Terrace ecosystem before and after it became a scenic spot was assessed. Results showed that the total value of ecosystem assets increased from 265 million CNY to 523 million CNY over a 20-year period, representing an increase of 257 million CNY. (3) The value of nonmaterial services, represented here by net revenues from eco-tourism, was calculated from 2018 to 2022, covering the period before and after ecological conservation efforts began in 2019. Results showed the value of nonmaterial services rose from 3.07 million CNY in 2018 to 8.90 million CNY in 2022, a growth of 189.77% after ecological conservation. (4) Field surveys and questionnaire analysis of stakeholders’ income sources suggest that ecological conservation and recreational development in the Yunhe Terrace ecosystem have increased household income in terms of both the number of income sources and monetary value. This study demonstrates that ecological conservation and tourism can enhance household welfare, contributing to a better understanding of the dynamics between conservation and economic development. Full article
(This article belongs to the Section Sustainable Products and Services)
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<p>The influence of ecological conservation and recreation on household livelihood in the Yunhe Terrace ecosystem.</p>
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<p>The location of the Yunhe Terrace ecosystem.</p>
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<p>The ecosystem patterns of the Yunhe Terrace ecosystem.</p>
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<p>The proportion of ecosystem assets value of Yunhe Terrace ecosystem in 20 years. (<b>a</b>). value of ecosystem assets in the Yunhe Terrace ecosystem before it becomes a scenic spot. (<b>b</b>). value of ecosystem assets in the Yunhe Terrace ecosystem after it be.</p>
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<p>Nonmaterial service value of the Yunhe Terrace ecosystem.</p>
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33 pages, 3721 KiB  
Article
Investment Portfolio Allocation and Insurance Solvency: New Evidence from Insurance Groups in the Era of Solvency II
by Thomas Poufinas and Evangelia Siopi
Risks 2024, 12(12), 191; https://doi.org/10.3390/risks12120191 - 29 Nov 2024
Viewed by 891
Abstract
This study examines the effect of the investment portfolio structure on insurers’ solvency, as measured by the Solvency Capital Requirement ratio. An empirical sample of 88 EU-based insurance groups was analyzed to provide robust evidence of the portfolio’s impact on the Solvency Capital [...] Read more.
This study examines the effect of the investment portfolio structure on insurers’ solvency, as measured by the Solvency Capital Requirement ratio. An empirical sample of 88 EU-based insurance groups was analyzed to provide robust evidence of the portfolio’s impact on the Solvency Capital Requirement ratio from 2016 to 2022. Linear regression and supervised machine learning models, particularly extra trees regression, were used to predict the solvency ratios, with the latter outperforming the former. The investigation was supplemented with panel data analysis. Firm-specific factors, including, unit-linked and index-linked liabilities, firm size, investments in property, collective undertakings, bonds and equities, and the ratio of government bonds to corporate bonds and country-specific factors, such as life and non-life market concentration, domestic bond market development, private debt development, household spending, banking concentration, non-performing loans, and CO2 emissions, were found to have an important effect on insurers’ solvency ratios. The novelty of this research lies in the investigation of the connection of solvency ratios with variables that prior studies have not yet explored, such as portfolio asset allocation, the life and non-life insurance market concentration, and unit-linked and index-linked products, via the employment of a battery of traditional and machine enhanced methods. Furthermore, it identifies the relation of solvency ratios with bond market development and investments in collective undertakings. Finally, it addresses the substantial solvency risks posed by the high banking sector concentration to insurers under Solvency II. Full article
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<p>Visualization of the decision trees of our dataset. Source: Authors’ estimates using Python. Code by <a href="#B101-risks-12-00191" class="html-bibr">Müller and Guido</a> (<a href="#B101-risks-12-00191" class="html-bibr">2017</a>), p. 78. Code for saving the .dot file in png and pdf from <a href="#B131-risks-12-00191" class="html-bibr">Stack Overflow</a> (<a href="#B131-risks-12-00191" class="html-bibr">2024</a>).</p>
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<p>Visualization of the random forests of our dataset. Source: Authors’ estimates using Python. Code by <a href="#B101-risks-12-00191" class="html-bibr">Müller and Guido</a> (<a href="#B101-risks-12-00191" class="html-bibr">2017</a>), p. 78. Code for saving the .dot file in png and pdf from <a href="#B131-risks-12-00191" class="html-bibr">Stack Overflow</a> (<a href="#B131-risks-12-00191" class="html-bibr">2024</a>).</p>
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<p>Visualization of the extra trees of our dataset. Source: Authors’ estimates using Python. Code by <a href="#B101-risks-12-00191" class="html-bibr">Müller and Guido</a> (<a href="#B101-risks-12-00191" class="html-bibr">2017</a>), p. 78. Code for saving the .dot file in png and pdf from <a href="#B131-risks-12-00191" class="html-bibr">Stack Overflow</a> (<a href="#B131-risks-12-00191" class="html-bibr">2024</a>).</p>
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<p>Comparison of the random forest and extra trees models. Source: Authors’ estimates using Python.</p>
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21 pages, 675 KiB  
Article
Determinants of Microfinance Demand (Evidence from Chiredzi Smallholder Resettled Sugarcane Farmers in Zimbabwe)
by Simion Matsvai
Sustainability 2024, 16(22), 9752; https://doi.org/10.3390/su16229752 - 8 Nov 2024
Viewed by 979
Abstract
Despite the MFI insurgency, agricultural financing remains critically low, even though microcredit is widely accepted as both a substitute and compliment to formal credit. Zimbabwe is an agro-based economy and very little is known about the determinants of microcredit demand and microcredit size [...] Read more.
Despite the MFI insurgency, agricultural financing remains critically low, even though microcredit is widely accepted as both a substitute and compliment to formal credit. Zimbabwe is an agro-based economy and very little is known about the determinants of microcredit demand and microcredit size in smallholder resettled sugarcane farmers. Research is concentrated in short-term agriculture activities. Thus, this study aims to fill the unattended gap in lagged returns agriculture activities such as sugarcane production which takes at least a year to mature, hence, the greater need for agriculture financing alternatives such as microfinance. The study examined the determinants of both microcredit demand and loan size (magnitude of microcredit participation) by smallholder resettled A2 sugarcane farmers in Chiredzi. Primary data from 370 smallholder resettled sugarcane farmers (214 borrower participants and 156 non-borrower participants) were used. Probit and Tobit regression models were used for data analysis in STATA. Operational costs, interest rate, grace period, and land size significantly affect both the demand for microcredit and microcredit size, while education, household farming assets, extension services, and payback period significantly affect microfinance demand, and risk attitude/perception additionally determine microcredit size. Special microfinance schemes best suitable for the agriculture sector and crop/plant-specific agriculture financing schemes, currency, and macroeconomic stability are the major policy recommendations. Full article
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<p>Map of Chiredzi (Showing the Resettlement Areas).</p>
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16 pages, 408 KiB  
Article
Behavioral Biases in Panic Selling: Exploring the Role of Framing during the COVID-19 Market Crisis
by Yu Kuramoto, Mostafa Saidur Rahim Khan and Yoshihiko Kadoya
Risks 2024, 12(10), 162; https://doi.org/10.3390/risks12100162 - 10 Oct 2024
Cited by 1 | Viewed by 1925
Abstract
Panic selling causes long-term losses and hinders investors’ return to the market. It has been explained using prospect theory aspects such as loss and regret aversion. Additionally, overconfidence and overreaction contribute to the disposition effect, leading investors to sell stocks prematurely. However, the [...] Read more.
Panic selling causes long-term losses and hinders investors’ return to the market. It has been explained using prospect theory aspects such as loss and regret aversion. Additionally, overconfidence and overreaction contribute to the disposition effect, leading investors to sell stocks prematurely. However, the framing effect, another disposition effect attribute, has been underexplored in the context of panic selling. This study investigates how the framing effect influences panic selling, particularly during market crises, when investors perceive information differently, depending on its positive or negative framing. Utilizing data from a collaborative survey, we examine Japanese investors’ behavior during the COVID-19 market crisis. Negative framing is negatively associated with complete or partial sale of securities, whereas positive framing has the opposite effect. During market crises, investors presented with negative framing are less likely to panic sell, whereas those presented with positive framing are more prone to it. Other significant factors include gender; men tend to engage more in panic selling. Conversely, higher education, financial literacy, and greater household income and assets are associated with a reduced likelihood of panic selling. These findings underscore the critical role of framing in investor behavior during market crises, providing new insights into the mechanisms underlying panic selling. Full article
21 pages, 948 KiB  
Article
Using the Extended Theory of Planned Behavior to Explore the Effect of Farmer Differentiation on Their Intention to Revitalize Idle Homesteads: Empirical Evidence from Shaanxi, China
by Mengyuan Lu, Bin Guo and Jianna Li
Sustainability 2024, 16(18), 8252; https://doi.org/10.3390/su16188252 - 23 Sep 2024
Viewed by 1075
Abstract
The revitalization of idle homesteads is an essential element in stimulating rural land resources and assets and promoting the integrated development of urban and rural areas. However, existing studies have paid less attention to the relationship between the differentiation of farm households and [...] Read more.
The revitalization of idle homesteads is an essential element in stimulating rural land resources and assets and promoting the integrated development of urban and rural areas. However, existing studies have paid less attention to the relationship between the differentiation of farm households and revitalization intention. Therefore, exploring the relationship between farmer differentiation and revitalization intention has become the key to improving the revitalization intention. The differentiation of farmers in the process of urbanization is an important factor affecting the intention of farmers to revitalize idle homesteads. This study defines “farmer differentiation” as a second-order factor and is based on the theoretical analysis framework of “farmer differentiation (FD)–farmer cognition (FC)–revitalization intention (RI)” to systematically reveal the relationship between FD and RI with a multi-dimensional perspective. At the same time, we analyze the mediating role of FC in the relationship between FD and RI. The data collected from 881 Shaanxi, China, farmers are analyzed through structural equation modeling (SEM). The results of the study show that (1) The dimensions of farmer differentiation (FD) are wealth capital differentiation (WCD) and reputation capital differentiation (RCD). (2) The formation of farmers’ intention to revitalize follows the logical relationship of “FC–RI” in the Extended Theory of Planned Behavior (ETPB), and subjective norms (SN) are the critical factor. (3) The logical relationship of “FD–FC–RI” in the ETPB has been confirmed. In addition to the direct positive effect of the WCD and RCD on farmers’ intention to revitalize idle homesteads, WCD will indirectly affect RI through the four sub-dimensions of behavioral attitudes (BA), subjective norms (SN), perceived behavioral control (PBC) and homestead dependence (HD) under the FC conception. Meanwhile, the chain mediating role of the WCD and FC sub-dimensions in the RCD effect on the intention to revitalize cannot be ignored. Therefore, to increase farmers’ intention to revitalize Idle homesteads, policymakers need to focus on increasing WCD and RCD and helping farmers establish proactive FC. Full article
(This article belongs to the Special Issue Immigrants, Social Integration and Sustainable Rural Development)
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<p>Analytical framework “FD–FC–RI”.</p>
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<p>Results of structural equation model regression.</p>
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20 pages, 3016 KiB  
Article
Impact of Linking Livelihood Resilience of Smallholder Households and the Risk Management Strategies: The Case of China from Socioeconomic Perspectives
by Xinming Liu, Zhe Song, Jie Xu, Weilin Feng and Wei Liu
Agriculture 2024, 14(9), 1599; https://doi.org/10.3390/agriculture14091599 - 13 Sep 2024
Viewed by 888
Abstract
The government of China has implemented the Southern Shaanxi Disaster Resettlement program since 2011, which aims to address the problems of reduced livelihood resilience, increased livelihood risks, and single-risk management strategies caused by the frequent occurrence of natural disasters. This study considers the [...] Read more.
The government of China has implemented the Southern Shaanxi Disaster Resettlement program since 2011, which aims to address the problems of reduced livelihood resilience, increased livelihood risks, and single-risk management strategies caused by the frequent occurrence of natural disasters. This study considers the specific situation of disaster resettlement in Ankang Prefecture, southern Shaanxi Province, and draws on Quandt’s measurement idea to quantify livelihood resilience at the household scale in terms of five types of capital assets: natural, physical, human, financial, and social. A coarsened exact matching model was used to control confounding factors in the observational data to reduce sample selection bias, and then multinomial logit regression models were used to examine how livelihood resilience affects risk management strategies; moreover, the effects of different indicators of livelihood resilience, relocation characteristics, and follow-up support measures on risk management strategies were analyzed. Results show that livelihood resilience is higher among new-stage relocation, voluntary relocation, and centralized resettlement households, and working outside of the home accounts for the largest proportion of risk management strategies chosen by the sample households. In addition, livelihood resilience and its dimensions and indicators, relocation characteristics, and follow-up support measures have different impacts on risk management strategies. These results have considerable significance in guiding research on risk management strategies at the household scale and can serve as a reference for disaster resettlement in other developing nations and regions. Full article
(This article belongs to the Section Agricultural Economics, Policies and Rural Management)
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<p>The location of the study area.</p>
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<p>The livelihood resilience evaluation indicator system.</p>
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<p>Distribution of indicators of livelihood resilience of sample households. Note: The numbers in brackets represent the mean value of indicators of livelihood resilience of the sample households, and the blue circle represents the mean of the ten indicators.</p>
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<p>(<b>a</b>) Livelihood resilience of different household sizes. (<b>b</b>) Livelihood resilience of different education levels of household heads. Note: In (<b>a</b>), the horizontal coordinates “&lt;3, 3, 4, 5 and &gt;5” indicate that the household sizes of the household are less than 3, 3, 4, 5, and more than 5 people, respectively.</p>
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<p>Livelihood resilience for different risk management strategies.</p>
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<p>Kernel density estimates of livelihood resilience in three districts and counties.</p>
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<p>(<b>a</b>) Choice of risk management strategies for households with different household sizes. (<b>b</b>) Choice of risk management strategies for households with different education levels of the household head.</p>
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18 pages, 805 KiB  
Article
Unraveling Investor Behavior: The Role of Hyperbolic Discounting in Panic Selling Behavior on the Global COVID-19 Financial Crisis
by Sumeet Lal, Trinh Xuan Thi Nguyen, Aliyu Ali Bawalle, Mostafa Saidur Rahim Khan and Yoshihiko Kadoya
Behav. Sci. 2024, 14(9), 795; https://doi.org/10.3390/bs14090795 - 9 Sep 2024
Cited by 1 | Viewed by 2115
Abstract
In financial markets, irrational behaviors such as hyperbolic discounting and panic selling are prevalent. However, their widespread empirical associations remain unexplored. Numerous behavioral theories discuss how cognitive biases exacerbate panic selling through the lens of immediate loss aversion, a phenomenon in which individuals [...] Read more.
In financial markets, irrational behaviors such as hyperbolic discounting and panic selling are prevalent. However, their widespread empirical associations remain unexplored. Numerous behavioral theories discuss how cognitive biases exacerbate panic selling through the lens of immediate loss aversion, a phenomenon in which individuals exhibit impulsive decision-making tendencies due to an intense fear of financial loss during market upheaval. Despite the theoretical elucidation, empirical investigations of these dynamics are lacking. Using a robust dataset comprising 121,293 active investors sourced from a collaborative effort between Hiroshima University and Rakuten Securities Inc., this study used mean comparison tests and probit regression to analyze hyperbolic discounting’s role in panic selling behavior on the global COVID-19 financial crisis. The findings reveal that hyperbolic discounting plays a central role in triggering investors’ impulsive panic selling behavior, which is driven primarily by fear of potential losses. Other factors that influence panic selling behavior include age, male gender, low education level, financial literacy, household income, household assets, risk aversion, and overconfidence in financial knowledge. Our study explicates the need to address cognitive biases in financial decision making during market crises through strategies such as targeted financial education, regulatory interventions against market manipulation, and the provision of professional advice to investors. Full article
(This article belongs to the Section Behavioral Economics)
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<p>Total return indices for the last 200 years. Historical data of long-term cumulative growth of <span>$</span>1 from major asset classes along with the average annual real returns accumulating from those long-term wealth gains from 1802 to 2019. The figure is adopted from Siegel [<a href="#B10-behavsci-14-00795" class="html-bibr">10</a>].</p>
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<p>Global market decline during March 2020 due to COVID-19 pandemic. The data visualize the sharp fall in global market indices in March 2020, which was a direct result of the COVID-19 pandemic. The steep decline illustrates the immediate economic impact and investor reaction to the global health crisis. However, it also demonstrates the gradual recovery observed in the months following the initial decline. The data are sourced from the MSCI World Index.</p>
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17 pages, 559 KiB  
Article
The Impact of Digital Inclusive Finance on the Sustainable Growth of Income of Herdsmen in China’s Pastoral Areas
by Jun Wang, Xinyi Zhang, Yingying Deng, Jianmin Cao and Yuan Liang
Sustainability 2024, 16(17), 7619; https://doi.org/10.3390/su16177619 - 3 Sep 2024
Viewed by 1060
Abstract
The sustainable growth of income for farming households in pastoral areas represents a crucial challenge not only for China but also for other developing nations in the process of transition to ecologically friendly models. The scarcity of assets available for collateral, along with [...] Read more.
The sustainable growth of income for farming households in pastoral areas represents a crucial challenge not only for China but also for other developing nations in the process of transition to ecologically friendly models. The scarcity of assets available for collateral, along with vulnerable production conditions and developmental shortcomings, pose significant barriers to the consistent expansion of herdsmen’s income. This paper analyzes the impact of digital financial inclusion on the income of herdsmen in ethnic minority regions using panel data models from nine major pastoral provinces in China from 2011 to 2022. Through a fixed-effects model approach, the analysis delves into the influence of digital financial inclusion and subjects it to multi-dimensional and robustness tests to ensure the reliability of the findings. Furthermore, the research explores the underlying mechanisms through which digital financial inclusion contributes to income enhancement for herdsmen in these areas, employing mediation effect techniques to provide deeper insights into the relationship between digital financial services and economic upliftment in remote ethnic communities. The research findings indicate that digital financial inclusion has a positive impact on the income of herdsmen in ethnic minority regions. The breadth of coverage, depth of usage, and level of digitalization of digital financial inclusion all play a significant role in enhancing the income levels of herdsmen. In terms of the degree of influence, the impact of digital finance on the income of ethnic minorities follows this order: depth of usage > degree of digitalization > breadth of coverage. Notably, through financial backing that catalyzes a shift in herdsmen’s production methodologies and propels industrial upgrading, there is a profound potential to increase herdsmen’s output efficiency. This, in turn, alleviates the ecological strain on China’s environmentally delicate zones. Moreover, financial backing can condense the breeding periods for herdsmen, thereby ameliorating the ecological degradation associated with excessive grazing in pastoral regions. A mediating-effect analysis reveals that digital financial inclusion can boost economic development in ethnic minority regions by increasing wage income, raising per capita GDP levels, and promoting industrial structure upgrading. This, in turn, leads to an improvement in the income of herdsmen in these regions. This is particularly pertinent in China, where the eco-fragility of pastoral regions coincides with the modest income of herdsmen, underscoring the critical importance of herdsmen’s finance. To foster sustainable progress in these regions, financial backing is imperative to elevate herdsmen’s income and to induce a transformative shift in production approaches and industrial layout, paving the way for the sustainable development of these pastoral regions. Full article
(This article belongs to the Section Sustainable Agriculture)
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<p>Mechanism of digital inclusive finance’s impact on farmers’ income level.</p>
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16 pages, 272 KiB  
Article
The Impact of Property Tax Expectations on Household Asset Allocation
by Xinzhe Xu, Jun Wang and Zhou Li
Buildings 2024, 14(9), 2745; https://doi.org/10.3390/buildings14092745 - 1 Sep 2024
Viewed by 1381
Abstract
Rational asset allocation is central to household wealth accumulation. This paper employs data derived from the 2019 China Household Finance Survey to methodically examine the influence of property tax expectations on the asset allocation decisions of households. This study finds that the expectation [...] Read more.
Rational asset allocation is central to household wealth accumulation. This paper employs data derived from the 2019 China Household Finance Survey to methodically examine the influence of property tax expectations on the asset allocation decisions of households. This study finds that the expectation of property tax positively influences both the probability of holding risky financial assets and their proportion of household assets. The percentage of housing assets constitutes a substantial negative moderating factor affecting the relationship between property tax expectation and household investments in risky financial assets. The positive effect of property tax expectations is more significant in eastern China. A definite expectation of property tax causes a precautionary saving effect among households. This study highlights that forming reasonable expectations about property taxes can help households adjust their investment portfolios in advance, diversify their asset allocation, and mitigate the impact of changes in property tax policies. Full article
(This article belongs to the Special Issue Real Estate, Housing and Urban Governance)
17 pages, 4895 KiB  
Article
Leveraging Prosumer Flexibility to Mitigate Grid Congestion in Future Power Distribution Grids
by Domenico Tomaselli, Dieter Most, Enkel Sinani, Paul Stursberg, Hans Joerg Heger and Stefan Niessen
Energies 2024, 17(17), 4217; https://doi.org/10.3390/en17174217 - 23 Aug 2024
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Abstract
The growing adoption of behind-the-meter (BTM) photovoltaic (PV) systems, electric vehicle (EV) home chargers, and heat pumps (HPs) is causing increased grid congestion issues, particularly in power distribution grids. Leveraging BTM prosumer flexibility offers a cost-effective and readily available solution to address these [...] Read more.
The growing adoption of behind-the-meter (BTM) photovoltaic (PV) systems, electric vehicle (EV) home chargers, and heat pumps (HPs) is causing increased grid congestion issues, particularly in power distribution grids. Leveraging BTM prosumer flexibility offers a cost-effective and readily available solution to address these issues without resorting to expensive and time-consuming infrastructure upgrades. This work evaluated the effectiveness of this solution by introducing a novel modeling framework that combines a rolling horizon (RH) optimal power flow (OPF) algorithm with a customized piecewise linear cost function. This framework allows for the individual control of flexible BTM assets through various control measures, while modeling the power flow (PF) and accounting for grid constraints. We demonstrated the practical utility of the proposed framework in an exemplary residential region in Schutterwald, Germany. To this end, we constructed a PF-ready grid model for the region, geographically allocated a future BTM asset mix, and generated tailored load and generation profiles for each household. We found that BTM storage systems optimized for self-consumption can fully resolve feed-in violations at HV/MV stations but only mitigate 35% of the future load violations. Implementing additional control measures is key for addressing the remaining load violations. While curative measures, e.g., temporarily limiting EV charging or HP usage, have minimal impacts, proactive measures that control both the charging and discharging of BTM storage systems can effectively address the remaining load violations, even for grids that are already operating at or near full capacity. Full article
(This article belongs to the Section F3: Power Electronics)
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<p>Schematic describing the workflow of the proposed approach.</p>
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<p>The grid model used for the experiments, shown on a geographical map. This system includes the LV power grid estimated in this work and the MV power grid from [<a href="#B21-energies-17-04217" class="html-bibr">21</a>] supplying it.</p>
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<p>Flowchart describing the input data and workflow of the proposed modeling framework.</p>
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<p>Schematic of the BTM system considered in this work, showing the flow of the supplied (<span style="color:#2b2bd5;font-size:20pt"><b>―</b></span>), fed-in (<span style="color:#ffd966;font-size:20pt"><b>―</b></span>), and stored (<span style="color:#228b22;font-size:20pt"><b>―</b></span>) electric power, as well as the supplied (<span style="color:#b60b1f;font-size:20pt"><b>―</b></span>) and stored (<span style="color:#ff8000;font-size:20pt"><b>―</b></span>) thermal power.</p>
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<p>Flowchart describing the workflow of the proposed RH OPF algorithm for simulations over <span class="html-italic">T</span> timestamps. The dashed blocks (<b>⁃ ⁃ ⁃</b>) represent the additions introduced in this work.</p>
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<p>Curative control measures. (<b>Top</b>) CurA reduces the original EV charging value to a predefined minimum power during periods of forecasted grid congestion. This approach requires longer charging times to compensate for the deferred energy. (<b>Bottom</b>) CurB reduces the original thermal load demand signal during periods of forecasted grid congestion, but an increased thermal load is required afterward to compensate for the deferred energy.</p>
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<p>Proactive control measures. (<b>Top</b>) ProA increases the charging capacity of the storage systems before a forecasted grid congestion. (<b>Bottom</b>) ProA and ProB increase the charging capacity before forecasted grid congestion and start discharging at the onset of the congestion period.</p>
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<p>Instances of (<b>a</b>) annual and (<b>b</b>) daily loads and feed-in violations identified for a grid critically stressed today when subjected to the BTM asset mix in the future scenario.</p>
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<p>Annual count of load and feed-in violations at the HV/MV station for all six scenarios of flexible BTM asset control (storage denoted as Stor, curative denoted as Cur, and proactive denoted as Pro).</p>
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<p>Annual number of load violations in 2030 for a grid critically stressed today, comparing scenarios with storage systems only and with both storage systems and CurB.</p>
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22 pages, 1629 KiB  
Review
Unveiling the Prospects, Impacts, and Constraints of Women’s Microfinancing Initiatives in South Asia: A Systematic Review
by Saman Herath Bandara
Soc. Sci. 2024, 13(8), 428; https://doi.org/10.3390/socsci13080428 - 17 Aug 2024
Viewed by 1891
Abstract
Empowering women requires a multidimensional and holistic approach that encompasses the social, political, and economic aspects of women’s development. Economic empowerment is particularly crucial for achieving sustainable development in society. This is especially important in South Asia, where women’s poverty levels are high. [...] Read more.
Empowering women requires a multidimensional and holistic approach that encompasses the social, political, and economic aspects of women’s development. Economic empowerment is particularly crucial for achieving sustainable development in society. This is especially important in South Asia, where women’s poverty levels are high. Microfinancing for South Asian women expands their opportunities in public works, agriculture, finance, and other sectors, thereby accelerating economic growth and helping to mitigate the effects of current and future financial crises, especially at the household level. This study systematically examines evidence of the impact of microfinance initiatives on women in South Asian countries (SAARC countries) using 38 articles. It considers the effects on decision-making; economic gains, such as income, savings, and expenses; freedom and mobility; educational gains; and asset accumulation. The study also assesses the impact on non-financial outcomes like food security, health and nutrition, and social benefits. The results conclude that efficient and effective women’s microfinancing can bring significant benefits for women in the region. Full article
(This article belongs to the Section Social Economics)
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<p>Female population living in extreme poverty, by region, 2022 (in millions). Source: UN Women, UNDP and Pardee Center for International Futures using the International Futures modeling platform (<a href="#B91-socsci-13-00428" class="html-bibr">UN Women 2022</a>).</p>
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<p>Female poverty rates by region, using national poverty line estimates, 2022 projections. Source: UN Women, UNDP, and Pardee Center for International Futures using the International Futures modeling platform (<a href="#B91-socsci-13-00428" class="html-bibr">UN Women 2022</a>).</p>
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<p>Women population rate in South Asia, 2023.</p>
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<p>Conceptual framework for microfinancing women in South Asia. Source: Developed by author.</p>
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19 pages, 995 KiB  
Article
The Status of Collective Action among Rural Households in Underdeveloped Regions of China and Its Livelihood Effects under the Background of Rural Revitalization—Evidence from a Field Survey in Shanxi Province
by Xuesong He, Yawei Wu and Jianzhi Wei
Sustainability 2024, 16(15), 6575; https://doi.org/10.3390/su16156575 - 31 Jul 2024
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Abstract
Enhancing collective action among rural households is crucial for promoting rural revitalization and improving livelihoods in underdeveloped areas. Taking Shanxi Province, China, as a case study, this paper employed a household survey method to collect 312 questionnaires from rural households. Using the mean [...] Read more.
Enhancing collective action among rural households is crucial for promoting rural revitalization and improving livelihoods in underdeveloped areas. Taking Shanxi Province, China, as a case study, this paper employed a household survey method to collect 312 questionnaires from rural households. Using the mean value analysis of the measured items in the questionnaire. The participation status of farmers in less developed areas in collective actions, such as farmers’ professional cooperatives, village cadre elections, and cooperative construction of small farmland water conservancy, was examined in four aspects: willingness to participate, frequency of participation, time of participation, and sense of the value of participation. From the perspectives of livelihood risks, livelihood assets, livelihood patterns, and livelihood income, it analyzed the livelihood conditions of rural households in underdeveloped regions. Building upon the empowerment of collective action in rural livelihoods, the study further applied a multiple linear regression model to assess the impact of collective action on livelihoods. The findings indicated (1) a strong willingness and perceived value among rural households to participate in collective action, albeit with a low frequency and limited time commitment; (2) relatively low livelihood levels, characterized by limited livelihood assets, predominant subsistence farming, small-scale non-specialized enterprises, and low livelihood income, yet with notable resilience against livelihood risks; (3) that collective action significantly enhances rural household livelihoods positively. Based on these findings, policy recommendations are proposed, emphasizing the enhancement of collective organization, provision of incentive mechanisms, and improvement of farmers’ skills and qualities to foster greater participation in collective action. Full article
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<p>Theoretical framework map for collective action impacting rural household livelihoods.</p>
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