Search Results (87)

This study explores the regional disparities in the tourism sector in Portugal between 2012 and 2022 with the aim of understanding how the spatial distribution, typology, and scale of tourism enterprises relate to regional wage dynamics. Using a quantitative approach, the analysis draws on secondary data from the Ministry of Labour and the Bank of Portugal, incorporating information on business characteristics and average employee remuneration across NUT II or regions. A combination of descriptive statistics, linear mixed-effects regression models, time series analysis, and ANOVA tests were employed to capture both temporal and territorial variations. The findings reveal a notable concentration of larger tourism enterprises in Lisbon, the North, and the Algarve, coupled with persistent wage disparities that tend to favour these same regions. Although average wages have increased, they remain insufficient in areas with high living costs, raising concerns about tourism’s redistributive potential. The study provides empirical evidence that tourism may exacerbate rather than reduce regional inequalities. By highlighting the territorial dimension of economic outcomes, this research offers valuable insights for policymakers and contributes to a more nuanced theoretical understanding of tourism-led development. Full article

The coronavirus (COVID-19) pandemic has profoundly affected public health and socio-economic structures globally. This research conducted a post-COVID-19 analysis of the role of fiscal support interventions on COVID-19 health regulations such as mandatory non-pharmaceutical interventions like face masks, social distancing, periodic lockdowns which include restrictions on movement, and socio-economic dimensions. This quantitative research obtained 302 responses from different households in the Eastern Cape, Gauteng, Kwa-Zulu Natal, and Limpopo Provinces in South Africa. The results reveal that the relief fund (R350 unemployment grant, unemployment insurance fund claim, and food parcel distribution, among others) mediated the relationship between COVID-19 health regulations and poverty levels and the relationship between COVID-19 health regulations and health and well-being. The relief fund also mediated the relationship between COVID-19 health regulations and employment levels. Support packages from the R500 billion government support, which included loan guarantees, job support, tax and payment deferrals and holidays, social grants, wage guarantees, health interventions, and municipalities support, moderate the relationship between COVID-19 health regulations and the family and social support. These results validate the impact of the fiscal support intervention by the government in mitigating its emergency intervention with COVID-19 health regulations. This strengthens the theory of intervention, highlighting that multiple dynamics make interventions complex as shown by mediation and moderation results. Furthermore, this study highlights intervention being central to the management of the crisis. The study highlights the importance of comprehensive intervention for future preparedness, thus advancing the crisis–intervention perspective. Advances in these areas are critical to mitigate the impact of the next pandemic or similar major events in society. This can be achieved through improved pandemic timely response with effective economic stimulus, social relief, strong legal framework, and anti-corruption policies. Full article

This paper examines the inflationary episode of 1603 in Spain through the lens of Austrian Economic Theory. The study focuses on the effects of monetary expansion caused by the influx of precious metals from the Americas and its impact on real wages and raw material prices. Through the analysis of historical data and the application of statistical methods, this study identifies key relationships between monetary inflows, price levels, and income distribution. The findings indicate that the rapid expansion of the money supply triggered inflation, disproportionately impacting various sectors of society. Using the Cantillon Effect as a framework, the study explains how monetary expansion led to uneven wealth redistribution and production distortions. Additionally, the Austrian Business Cycle Theory highlights the consequences of artificial monetary growth, including the misallocation of resources and reduced purchasing power for wage earners. This study employs historical data from Edward J. Hamilton and other sources, utilizing normalization techniques and regression models to empirically examine the economic dynamics of this period. By bridging theoretical insights with empirical analysis, this paper contributes to a deeper understanding of early modern inflationary processes and offers lessons applicable to contemporary economic challenges. Full article

Floodplain agriculture is a practice that involves cultivating arable soils along riverbanks and reservoirs, which become submerged during the rainy season. This study aimed to analyze the socioeconomic aspects of floodplain farmers in the municipalities of Amarante, Floriano, and Uruçuí along the banks of the Parnaíba River in northeastern Brazil. We conducted semi-structured interviews using the rapport technique. Data were analyzed using generalized linear models with four distributions (gamma, inverse Gaussian, exponential, and Gaussian), with the aim of identifying patterns and relationships between socioeconomic variables and production system profiles. The average age of respondents was 49 years across the three communities, with a predominance of male farmers. Regarding the length of residence, communities in Uruçuí had lived in the area the longest. In terms of monthly income, 80% of farmers earned up to one minimum wage. Land size analysis indicated that properties in Amarante had the highest average land area in hectares. We conclude that agriculture in the region studied is dominated by manual planting, low adoption of technologies, and scarce use of soil conservation techniques, suggesting more sustainable agricultural practices, the development of management plans, and rural extension practices. Full article

This study estimates the labor market returns to non-cognitive skills among the youth under 30 years old during the early career stage. Using data from the Russian Longitudinal Monitoring Survey (RLMS-HSE) for 2016 and 2019, it examines the effects of the Big Five personality traits (openness, conscientiousness, extraversion, agreeableness, and emotional stability) on hourly wages. To account for potential heterogeneity in the effect of non-cognitive skills along the wage distribution, a quantile linear mixed model is employed, estimating returns at the 10th, 25th, 50th, 75th, and 90th percentiles while controlling for repeated observations with random intercepts at the individual level. Inverse probability weighting is applied to address the selection of employment. The results indicate that openness yields the highest returns for young workers, though its effect diminishes after controlling for educational attainment. By controlling for education, the model identifies the effect of conscientiousness below the median wage level, and that of extraversion above. Finally, the study finds that the impact of non-cognitive skills on wages evolves over the life course. First, the effects of non-cognitive skills on wages vary a lot in the youth group and the entire working population (ages 16–65). Furthermore, breaking the data down by age cohorts reveals how their significance and magnitude shift at different career stages. Full article

Economic financialization refers to misappropriating workers’ earnings and enriching wealthy individuals through financial cycles. This process leads to an unequal distribution of wealth and income, particularly pronounced between urban and rural areas. This article examines the impact of economic financialization on the income gap between urban and rural residents by analyzing provincial-level data from China collected between 2003 and 2022. Utilizing the FE-SCC model and SDM, this study reveals that economic financialization increases the income gap between urban and rural residents, especially in eastern China and regions characterized by advanced economic development. The findings indicate that economic financialization significantly exacerbates the wage income gap between urban and rural residents but reduces the property income gap, which relates directly to the nature of work performed by urban and rural residents. The income disparity between these two groups correlates with each region’s economic financialization level. It is influenced by spillover effects from neighboring areas, evidenced by a phenomenon known as “club convergence”. Strengthening regulations on economic financialization, leveraging policy-driven financial systems, promoting regional development, and enhancing inclusive financial services could alleviate income disparity in urban–rural areas and improve the population’s overall well-being. Full article

The rapid advancement of digital communication and information technologies has significantly influenced rural household income and income inequality. Based on a sample of 2216 farmers from the China Family Panel Studies (CFPS), this analysis combines Ordinary Least Squares (OLS) regression with Conditional Mixed Process (CMP) estimation to account for endogeneity, evaluating how internet adoption affects both income diversification and inequality patterns among Chinese farmers. The findings reveal three key insights: First, internet use significantly increases farmers’ household income while reducing overall income inequality. Second, the positive impact of internet use on total income is primarily driven by increases in wage and operating income, while the reduction in income inequality is associated with a more equitable distribution of these income sources. Third, human capital plays a moderating role, with high-human-capital farmers benefiting more from internet use in terms of income growth and inequality reduction. Based on these findings, this study suggests that policymakers should promote internet adoption to enhance farmers’ incomes and address income inequality, while paying attention to the varying effects across different human capital groups. These insights provide valuable policy implications for achieving common prosperity in developing countries and regions. Full article

The vast urban–rural income gap (URIG) is a global challenge, particularly severe in underdeveloped regions. While the income-generating effects of transportation improvements are widely accepted, their income distribution effects remain controversial. This study focuses on national poverty-alleviated counties in central and western China, using a mixed-methods approach to quantitatively test the non-linear relationship between highway improvements and the URIG and qualitatively analyze the reasons behind the threshold effects of regional economic development levels. The main findings are as follows: first, regional economic development levels exhibit a double-threshold effect, with the impact of highway improvements shifting from widening to narrowing the URIG after surpassing the second thresholds. Second, inter-regional highways have a limited impact on narrowing the URIG, while intra-regional highways significantly reduce the URIG once crossing their thresholds, reflecting the distinct functions of different highway classes. Third, the heterogeneity analysis reveals that the impact of highway improvements on the URIG varies depending on the external environment surrounding residents, including both the indirect and direct environments. Fourth, from the perspective of rural labor transfer to non-farm employment, regional economic development levels create threshold effects in two ways: for local employment, they influence non-agricultural industry growth and job distribution following highway improvements, affecting rural laborers’ participation; for migrant employment, they impact human capital investment, influencing rural laborers’ skills and wage returns after highway improvements. Full article

The propensity score defining the probability of completing a given degree of education—to balance covariates—and the Mincer equation is here estimated at various degrees of higher education. The novelty is in implementing propensity score and regression estimators together in a double-robust approach in order to ensure against misspecification. The model is analyzed not only at the average but also in the tails of both components to gain a detailed analysis of the tail behavior and robustness. Analyzing survey data from the 2010 and 2020 waves, we find a negative impact of southern regions and gender on education. This impact becomes milder at the mean and is not significant in the right tail. The mixing of propensity score and quantile regression shows the irrelevance of education at low wages and, in a few cases, decreasing premia as school years increase. The private sector rewards lower premiums to young workers, and these distributions are more dispersed, i.e., show higher inequality. In the women’s subset, there is a marked pay gap, even wider for those working in the private sector. Full article

This study evaluates the socioeconomic effects of educational policies implemented between 2010 and 2024 within the context of the Fourth Industrial Revolution, focusing on the labor demand for professionals with advanced competencies. Using a quantitative analysis based on microdata from the National Survey of Occupation and Employment (ENOE) for 2010–2024, an econometric model is employed to estimate the returns to education and work experience and analyze gender wage gaps and the urban–rural distribution. The findings reveal a 46.3% increase in the labor market participation of individuals with higher education and a rise in wage disparities, particularly in the Information and Communication Technology sector. Limited to ENOE data in Mexico, this research adds value by identifying the mismatch between educational supply and emerging labor market demands. The conclusions suggest adjusting educational policies to reduce gender gaps and better equip graduates to meet current challenges. Full article

Achieving sustainable development in agricultural catchments requires well-designed policy measures. This study examines the intricate interactions between social dynamics and hydrological processes within agricultural systems to propose targeted policy interventions. By employing socio-hydrology models that integrate socio-economic and hydrological data, the research provides valuable insights into the feedback loops and interdependencies that influence catchment sustainability. In this study, we find that policies on population management should aim to balance natural growth rates with the carrying capacity of the basin. Strategies such as education, healthcare access, and family planning can help manage demographic pressures. Migration policies should consider the economic and environmental impacts of population influx and support balanced regional development to distribute the demographic pressures more evenly. Wage growth should be aligned with economic productivity to prevent unemployment and inequality. Policies that promote equitable wage structures and enhance labor mobility between sectors can mitigate disparities. The findings emphasize the necessity of adaptive policies that address both environmental and societal factors, advocating for interdisciplinary approaches in water resource management and agricultural policy development. This study also highlights the pivotal role of technological innovations and the societal values and norms that shape sustainability and resilience in agricultural catchments. Full article

The literature associating the spread of SARS-CoV-2 with the healthcare-related, geographical, and demographic characteristics of the territory is inconclusive and contrasting. We studied these relationships during winter 2021/2022 in South Tyrol, a multicultural Italian alpine province, performing an ecological study based on the 20 districts of the area. Data about incidence, hospitalization, and death between November 2021 and February 2022 were collected and associated to territorial variables via bivariate analyses and multivariate regressions. Both exposure variables and outcomes varied widely among districts. Incidence was found to be mainly predicted by vaccination coverage (negative correlation). Mortality and ICU admission rates partially followed this distribution, while the case fatality rate was inversely correlated to average salary, and hospital admission rates increased where hospitals capacity was higher, and from the southern to the northern border of the province. These findings, besides confirming the efficacy of vaccination in preventing both new and severe SARS-CoV-2 cases, highlight that several geographical and socio-demographic variables can be related to disease epidemiology. Remote areas with wage gaps and lower access to care suffered most from the pandemic. Our findings, therefore, underly the existence of health inequity issues that need to be targeted by implementing specifically tailored public health interventions. Full article

Bud Rot (BR) is the most significant phytosanitary threat to oil palm cultivation in Colombia. Early detection is essential for effective curative management, but current methods for detecting BR in adult palms are subjective and unreliable. This research aimed to develop an integrated system for digital field monitoring and image analysis, testing two detection methods: computer-assisted detection and automatic detection using artificial intelligence (AI). Monthly monitoring was conducted over a 12-month period (January–December 2022) on 672 African oil palms (Elaeis guineensis), 15 years old and susceptible to BR. Disease monitoring focused on the incidence, cumulative incidence, and labor performance based on the number and spatial distribution of palms detected with BR, with or without the use of the device proposed. Results showed that automatic detection using AI had low effectiveness (17.1%), identifying only a small portion of actual cases. In contrast, computer-assisted detection significantly improved accuracy, reaching 78.6% during peak months and reducing detection time by up to two months compared to traditional methods, although, its maximum performance point only reached 4.7 ha/wage. The implementation of digital monitoring provides crucial technological support by considerably improving the effectiveness of early detection in BR curative management. Future advancements in AI-based detection are expected to further improve the efficiency and functionality of this approach. Full article

The gradual integration of digital technology into traditional Chinese villages has triggered a shift in income distribution from labor to capital, posing challenges to the wage growth of employed peasants. Based on the theory of empowerment, this paper explores the mechanisms of credit availability and talent loss in the interplay between digital capabilities and wage augmentation among employed peasants. This study empirically examines or validates the mechanism of digital capabilities on wage growth for employed peasants through the entropy weight method, the OLS linear model, the mediation effect model, and propensity score matching while using survey data from 490 farmer entrepreneurs as samples. The findings are as follows. (1) The digital capabilities of farmer entrepreneurs have a significant positive impact on the wage growth of employed peasants, and this result remains robust after a series of robustness checks. In terms of hierarchical effects, digital foundational capabilities > digital application capabilities > digital innovation capabilities. (2) Credit availability and talent loss mediate the relationship between digital capabilities and wage growth for employed peasants. (3) The digital capabilities of farmer entrepreneurs who are young, highly educated, and have a low family-dependency ratio exert a more pronounced influence on the wage growth of employed peasants. Additionally, lower policy uncertainty enhances the effect of digital capabilities on wage growth for employed peasants. The study uncovers the empowerment mechanism of digital advancements embedded during the entrepreneurial journey, enriches research on digital capabilities and common prosperity, and provides a feasible path for governments to formulate reasonable entrepreneurship and digital promotion policies. Full article

Research on modern agri-food chains aims to enhance flexibility by analyzing supply chain aspects to identify improvement opportunities. A SWOT analysis of 39 agri-food sector organizations using a SWOT analysis organized using the PESTEL and MEETHS categories was conducted to evaluate the stakeholders’ needs in this sector of activity in Northern Portugal. Logistic regressions were used to compute inferential statistics, which were complemented with a qualitative analysis. Cooperatives and primary sector companies often claim superior product quality without clear evidence, while corporations integrated into competitive national markets, like those with smoked products, adapt better to dietary trends. Small- and medium-sized enterprises struggle with competitive wages, leading to high turnover and difficulty retaining skilled workers. High costs hinder many organizations, particularly cooperatives, from adopting modern communication technologies affecting competitiveness. Challenges include identifying market opportunities and managing global competition for raw materials, like wild fish. Fishing and meat sectors depend heavily on modern distribution and are dominated by large retailers. Low labor costs boost competitiveness but reflect the struggle to add value. Larger organizations are more optimistic though many face challenges with the cost and volatility of key products, like pork and milk. This study offers the following key recommendations: invest in technology and innovation while balancing short-term gains with long-term sustainability; strengthen strategic planning and collaboration among corporations, cooperatives, associations, and academic institutions; and adapt to regulatory changes, invest in market and technological capabilities, and address resource limitations. Research and collaboration with policymakers and academic institutions will support tailored solutions, enabling the sector to anticipate challenges and capitalize on opportunities. Full article