Unemployment Research Articles

From Tweets to Streets: Observational Study on the Association Between Twitter Sentiment and Anti-Asian Hate Crimes in New York City from 2019 to 2022.

Anti-Asian hate crimes escalated during the COVID-19 pandemic; however, limited research has explored the association between social media sentiment and hate crimes toward Asian communities. This study aims to investigate the relationship between Twitter (rebranded as X) sentiment data and the occurrence of anti-Asian hate crimes in New York City from 2019 to 2022, a period encompassing both before and during COVID-19 pandemic conditions. We used a hate crime dataset from the New York City Police Department. This dataset included detailed information on the occurrence of anti-Asian hate crimes at the police precinct level from 2019 to 2022. We used Twitter's application programming interface for Academic Research to collect a random 1% sample of publicly available Twitter data in New York State, including New York City, that included 1 or more of the selected Asian-related keywords and applied support vector machine to classify sentiment. We measured sentiment toward the Asian community using the rates of negative and positive sentiment expressed in tweets at the monthly level (N=48). We used negative binomial models to explore the associations between sentiment levels and the number of anti-Asian hate crimes in the same month. We further adjusted our models for confounders such as the unemployment rate and the emergence of the COVID-19 pandemic. As sensitivity analyses, we used distributed lag models to capture 1- to 2-month lag times. A point increase of 1% in negative sentiment rate toward the Asian community in the same month was associated with a 24% increase (incidence rate ratio [IRR] 1.24; 95% CI 1.07-1.44; P=.005) in the number of anti-Asian hate crimes. The association was slightly attenuated after adjusting for unemployment and COVID-19 emergence (ie, after March 2020; P=.008). The positive sentiment toward Asian tweets with a 0-month lag was associated with a 12% decrease (IRR 0.88; 95% CI 0.79-0.97; P=.002) in expected anti-Asian hate crimes in the same month, but the relationship was no longer significant after adjusting for the unemployment rate and the emergence of COVID-19 pandemic (P=.11). A higher negative sentiment level was associated with more hate crimes specifically targeting the Asian community in the same month. The findings highlight the importance of monitoring public sentiment to predict and potentially mitigate hate crimes against Asian individuals.

Jono Village Synergy in Improving Creative Tourism-Based on the Salt Industry

Grobogan Regency's tourist sector is still quite small and hasn't been able to significantly impact the growth of the travel and tourism sector in Indonesia. Even though Grobogan Regency has a lot of possibilities for overseeing local resources related to tourism. The Jono Tourism Village is one of the potentials in the Grobogan area that could be developed. The distinctive feature of Jono Village is its ability to generate salt products despite being distant from the ocean. At the end of 2016, the Ministry of Tourism designated Jono Village as a Tourism Village. Not much has changed in this community since it was recognized as a tourist village. This is due to the unrealized potential of other locations as tourist destinations, the dear th of facilities in this community, and the village's poor accessibility. As a result, the author wants to transform this vacation hamlet into a community-based destination with a hub for the salt industry serving as a major draw. A qualitative descriptive technique will be used in the design concept that will be put into practice. Reducing the unemployment rate, enhancing the local economy, protecting the area's cultural environment, and building the infrastructure necessary to support the tourist village's growth are just a few of the issues that need to be resolved to develop this village. Data collecting techniques employed in the construction of this creative tourism town include reading, interviews, and observation. Next, interactive analysis techniques and flow model analysis approaches are employed for data analysis. The study's findings enable Jono hamlet to develop into a creative tourism hamlet with attractions that match the community's capabilities, particularly the Jono Village Salt Industry.

The empirical evidence of digital trends in more disadvantaged European Union regions in terms of income and population density

AbstractRemote rural and postindustrial regions are much more vulnerable to population drain in comparison with industrialized centers and capitals, due to obvious reasons such as meager job opportunities, difficulties in accessing public services in education, healthcare and transport, housing, entertainment, lack of integration with other territories and, finally, less advanced levels of digitalization. This represents an open challenge for the European Union within the framework of its Cohesion Policy. This paper analyzes the impact of digital trends, represented by the percentage of the population with access to internet and broadband and the percentage of individuals who buy goods and internet services (percentages provided by Eurostat) in less populated EU NUTS2 regions with lower income, on the crude population growth rate composed of natural changes in population and migratory flows and on the unemployment rate by applying panel data analysis. It has been possible to confirm that digitalization has a positive impact on natural changes in population in EU regions with lower economic development. On the contrary, the unemployment rate does not affect natural changes in population, but it does have a negative impact on migratory flows. The findings show that digitalization may contribute to reversing negative demographic trends in more disadvantaged EU regions in terms of income and population density.

Universal Basic Income as a Response to Automation? Attitudes of Human Translators Facing Neural Machine Translation

How do professionals who may be at risk of job loss due to AI-driven automation view a universal basic income (UBI) as a policy response to technological unemployment? This article examines the attitudes of translators from Turkey, a country with the highest perceived technological risks across the OECD. Based on interviews, the article reveals varying views on UBI, the framings of which reflect participants’ political views and understandings of capitalist societies. While some participants depict a perspective of economic individualism, emphasizing individual responsibility and a work ethic in opposing UBI, others advocate an anti-capitalist outlook, promoting collective action yet appearing skeptical of UBI. However, a majority supports UBI as a social right. Furthermore, those concerned about job or wage loss are primarily found among those who favor UBI and those who specialize as freelancers in areas perceived as more susceptible to automation, suggesting that job insecurity shapes views of UBI.

Economic Impacts of the 1997 Compulsory Education Reform in Turkey: New Findings and Employment Analysis

This study investigates the economic impact of Turkey's 1997 compulsory education reform, which extended mandatory schooling from five to eight years. Utilizing data from the seventh wave of the World Values Survey and employing an instrumental variable approach with Two-Stage Least Squares (2SLS) estimation, we provide new insights into the reform's outcomes. The findings reveal that the reform significantly increased educational attainment and reduced gender disparities. However, the anticipated economic benefits were limited, with higher unemployment rates and a lower likelihood of high-skilled employment among treated cohorts. Additionally, those affected by the reform reported lower perceived improvements in their standard of living compared to their parents. These results suggest that the expansion of education increased the supply of educated individuals, potentially lowering the overall value of education in the labour market.

Regional perspective on prospects and risks of the renewable energy in Russia

AbstractThe expansion of renewable energy (RE) relies on both natural factors and socioeconomic conditions fostered at the regional level. This paper examines the key factors influencing RE development in selected Russian regions. We conducted a literature review, surveyed 250 industry experts, and analyzed reports from energy and rating agencies, along with natural resource maps, to identify specific risks and indicators. Our expert survey revealed that the most significant technical risks are low resource potential (68%), energy system surplus (68%), and the absence of transport logistics with neighboring regions (58%). Politically, the lack of additional sector initiatives (6%) was noted. Economically, the high cost of RE (56%) and insufficient experience with “green” investments (54%) were highlighted. Social factors included low unemployment rates (74%), and the absence of remote areas without power supply (72%). Environmentally, the lack of enterprises for energy unit utilization (84%), low greenhouse gas emissions (60%), and insufficient accessible territories for facilities (58%) were significant concerns. We developed risk profiles for nine Russian regions, categorizing them into leaders, intermediates, and nascent stages of RE market formation. Our findings indicate that the most impactful factors include resource potential, space limitations for energy facilities, proximity to equipment manufacturers, regional support measures, and the development of “green” investment instruments. Conversely, regional investment attractiveness had a lesser influence. On the basis of these insights, we recommend enhancing RE development through refined federal and regional support programs. We propose additional criteria for project selection: (1) minimum construction costs covered by “green” investments and (2) quantitative restrictions on new capacities, considering regional energy system status. Practical recommendations also include developing regional centers for servicing generating facilities and increasing the sector's investment attractiveness to stimulate private investment.

Practical experience in the implementation of innovative building materials and products

The improvement and creation of new production technologies is largely determined by the level of innovation in the field of materials science. In this paper, the experience of practical implementation of innovative building materials and products made of light steel thin-walled structures in the real sector of the economy is considered. Suggestions are given for possible use in state programs for the restoration and development of new territories of Russia. The problem of economic recovery, creation of new jobs, implementation of development programs for specific subjects of new territories can be solved by consolidating the subjects of the Russian Federation and forming professional construction teams on the basis of specialized enterprises of the subject of the Russian Federation for the implementation of state programs. The authors, if necessary, offer services for training and transfer of scientific and technical knowledge to Customer specialists at the place of construction of prefabricated facilities.

Розвиток жіночого інноваційного підприємництва в Україні у процесі європейської інтеграції

Introduction. The process of European integration of Ukraine opens up new opportunities for the development of innovative entrepreneurship, in particular for women entrepreneurs. Economic and social challenges related to the post-war reconstruction of the country and the need to comply with the EU standards make the issue of effective use of the potential of women’s entrepreneurship in the innovative field relevant. Problem Statement. Determination of ways and mechanisms of using the opportunities of European integration to stimulate the development of women’s innovative entrepreneurship in Ukraine. The purpose is to assess the current state of women’s innovative entrepreneurship in Ukraine, to identify prospects for its development in the context of European integration, and to develop recommendations for its support. Methods. Theoretical analysis of scientific sources, study of European practices of supporting women’s innovative entrepreneurship, comparative analysis and generalization were used. Results. The key directions of using European integration for the development of women’s innovative entrepreneurship in Ukraine embrace: 1) adaptation of European financing and business acceleration programs; 2) implementation of European standards of gender equality; 3) participation in European networks and exchange of experience; 4) adaptation of European educational programs. The implementation of these directions will contribute to economic growth, the creation of new jobs and the general elevation of the role of women in society. Conclusions. European integration creates favorable conditions for the development of women’s innovative entrepreneurship in Ukraine through access to new markets, financial resources and advanced practices. The key success factors are the adaptation of Ukrainian legislation to EU standards, the creation of specialized support programs and the development of educational initiatives for women entrepreneurs. The implementation of the proposed recommendations will contribute to the growth of the number of women’s innovative enterprises and the strengthening of their role in the economic development of Ukraine.

Digital transformation as a tool for creating an inclusive economy in Ukraine during wartime

The russian aggression against Ukraine underscores the need to reassess regional strategies for digitalization and inclusivity. The study aims to identify strategies for enhancing these areas during wartime. Taxonomy and cluster and factor analysis methods have shown that regions with a higher level of digitalization have lower levels of poverty and unemployment. Specifically, regions in the top quartile of the digitalization index reported, on average, 12% lower unemployment rates compared to those in the bottom quartile. The analysis identifies distinct regional groupings: areas such as Zaporizhzhia, Kherson, Donetsk, and Luhansk are partially occupied and exhibiting low digitalization and inclusivity, in contrast with Mykolaiv and Kirovohrad that show moderate progress. Rural regions face a significant digital divide, with only 60% of rural households having stable internet access compared to 90% in urban areas. Factor analysis confirms that wartime conditions have accelerated digital transformation, evidenced by a 42% increase in Diia app usage from 2021 to 2023 and a rise in internet penetration from 62% in 2019 to 78% in 2023. Additionally, IT sector export revenues grew by 20% in 2022, and technology startups doubled between 2019 and 2023. The study proposes a strategic framework for regional adaptation: intensive digitalization and inclusivity for Zaporizhzhia, Kherson, Donetsk, and Luhansk regions; digitalization for Mykolaiv region; inclusivity for Kirovohrad and Zakarpattia regions; and balanced adaptation for Chernivtsi and Khmelnytskyi regions. Recommended measures include modernizing digital infrastructure, expanding educational opportunities, supporting startups, and aligning digital and social initiatives to foster regional resilience and development.

Labour Markets in Libya: Opportunities and Risks

The Libyan economy faces significant challenges due to its lack of diversification, with the public sector dominating the labour market. This dominance has led to high unemployment rates, job instability, skills shortages, and widespread informal employment. This research critically examines the current state of the Libyan labour market, identifying both opportunities and risks, and provides a comprehensive overview of Libya’s workforce. The analysis reveals that 67% of the Libyan population is under the age of 35, representing a substantial and expanding workforce. Libya’s strategic location in North Africa provides access to European and African markets, potentially fostering economic growth and job creation. However, a misalignment between workforce skills and private sector requirements impedes sustainable development. Additional challenges include a weak private sector, economic identity issues, and political instability. Reducing reliance on oil and gas, combating corruption, and enhancing the education system are essential for achieving economic resilience and social stability. The findings indicate that labour market programs and institutions have had minimal impact on outcomes, with notable disparities between capital owners and income earners. Women face significant barriers to economic empowerment, despite the presence of inclusive sectors such as hospitality and financial services. Barriers to inclusivity and productivity, including gender disparities, skills mismatches, education gaps, and issues within the informal labour market, persist. Policy interventions are crucial to capitalize on these opportunities and mitigate associated risks through comprehensive labour market strategies.

Role of Sericulture in the Indian Economy

Sericulture, often known as silk farming, involves raising silkworms to make silk. Out of the five states that contribute to the majority of India's silk production—Karnataka, Andhra Pradesh, Tamil Nadu, West Bengal, and Jammu & Kashmir -98.5% comes from mulberry sericulture. Silk plays a vital role in Indian culture and tradition, with a rich history spanning over five millennia. Sericulture, especially in Karnataka, supports farmers' livelihoods and has significant economic potential. However, climate change poses a serious threat to global ecosystems, endangering species and affecting industries like sericulture. The Author uses the study variables for their study and also questionnaires, and statistical tools like SPSS and Excel for data presentation and calculation respectively also used statistical techniques like, Factor Analysis, Descriptive analysis, and Relatively Analysis. Sericulture enhances income, crop diversification, sustainability, and land use efficiency, supported by government policies and training. Sericulture is vital to India’s rural development, job creation, and exports. It supports millions of rural households, especially women and marginalized communities, by generating consistent income. As one of the world’s top silk producers, India benefits from government-backed sustainable practices, making sericulture crucial to its economy.

Employment and Energy

At the Global Business Forum in Goa in October 2015, Dr. Romesh Wadhwani highlighted a significant gap in India's economic strategy: while GDP growth surged by 54% in recent years, employment in the organized sector grew by a mere 3%. Projecting into the future, he warned that even a 100% increase in GDP might only yield a 6% rise in employment, emphasizing the need for a focus on creating meaningful job opportunities to prevent social instability and enhance well-being. Dr. Wadhwani proposed several solutions, including expanding vocational training, restructuring education to include vocational streams from high school, and fostering self-employment and entrepreneurship. However, an examination of India's current skill development policies reveals a lack of focus on labor mobility and the impact of automation and energy consumption on job creation. The historical relationship between GDP growth and energy use shows that increased industrial productivity often comes at the expense of job creation due to heightened automation and energy consumption. This trend, combined with the environmental impact of fossil fuel reliance, underscores the limitations of the current growth model. To address these issues, this paper suggests shifting towards a "restoration economy" model. By focusing on low-energy, high-employment jobs in environmental and ecosystem restoration, India can create significant employment opportunities while also contributing to ecological sustainability. Investing in restoration projects and leveraging existing funding programs, such as MG-NREGA, can provide a dual benefit: addressing employment challenges and rebuilding degraded environments. This approach offers a more balanced and sustainable path forward for India's economic and social development

A Proposed Framework for Assessing the Readiness of AI in Small and Medium Enterprises (SMEs) in Malaysia

Small and Medium Enterprises (SMEs) have become increasingly important to Malaysia’s economy in recent years. They contribute significantly to GDP growth, job creation, and innovation. However, SMEs often face various challenges such as limited resources, market competition, and technological barriers. In this digital age, integrating Artificial Intelligence (AI) has tremendous potential to overcome these challenges and drive SMEs towards sustainable growth and competitiveness. Despite this, it remains unclear whether Malaysian SMEs are ready to adopt and use AI technologies. This research aims to bridge this gap by investigating the readiness of Malaysian SMEs to embrace AI, the factors that influence their readiness, and the potential impact of AI integration on their business performance and competitiveness. This initiative aligns with the National Science, Technology, and Innovation Policy (NSTIP) 2021-2030, i.e., promoting the development and readiness of local technology. This study proposes a conceptual framework to provide a detailed understanding of the readiness of Malaysian SMEs to adopt AI, analyze the factors that influence AI readiness, and evaluate the potential impact of AI integration on their business performance and competitiveness. The findings will inform future research initiatives aimed at enhancing SME competitiveness and fostering innovation in Malaysia’s business ecosystem.

Empirical Monte Carlo evidence on estimation of timing-of-events models

This article builds on the Empirical Monte Carlo simulation approach to study the estimation of Timing-of-Events (ToE) models. We exploit rich Swedish data of unemployed job seekers with information on participation in a training program to simulate placebo treatment durations. We first use these simulations to examine which covariates are key confounders to be included in dynamic selection models for training participation. The joint inclusion of specific short-term employment history indicators (notably, the share of time spent in employment), together with baseline socio-economic characteristics, regional and inflow timing information, is important to deal with selection bias. Next, we omit subsets of explanatory variables and estimate ToE models with discrete distributions for the ensuing systematic unobserved heterogeneity. In many cases, the ToE approach provides accurate effect estimates, especially if time-varying variation in the unemployment rate of the local labor market is taken into account. However, assuming too many or too few support points for unobserved heterogeneity may lead to large biases. Information criteria, in particular those penalizing parameter abundance, are useful to select the number of support points. A comparison with other duration models shows that a Stratified Cox model performs well with abundant multiple spells but less well when multiple spells are uncommon. The standard Cox regression model performs poorly in all configurations as it is unable to account for unobserved heterogeneity.

Underestimating the Pandemic: The Impact of COVID-19 on Income Distribution in the U.S. and Brazil

The COVID-19 pandemic has exposed individuals to various risks, including job loss, income reduction, deteriorating well-being, and severe health complications and death. In Brazil and the U.S., as well as in other countries, the initial response to the pandemic was marked by governmental underestimation, leading to inadequate public health measures to curb the spread of the virus. Although progressively mitigated, this approach played a crucial role in the impacts on local populations. Therefore, the principal aim of this paper is to evaluate the impact of COVID-19 and, indirectly, of the policies adopted by the U.S. and the Brazilian governments to prevent pandemic diffusion on income distribution. Utilizing available microdata and employing novel econometric methods (RIF-regression for inequality measures) this study shows that growth in COVID-19 prevalence significantly exacerbates economic disparities. Furthermore, the impact of COVID-19 on inequality has increased over time, suggesting that this negative impact has been intensifying. In the U.S., results indicate that working from home, the inability to work, and barriers to job-seeking significantly increase inequalities. Although further data are necessary to validate the hypothesis, this preliminary evidence suggests that the pandemic has significantly contributed to increased inequality in these two countries already characterized by increasing polarization and significant social disparities.

Digital transformation of enterprises: Job creation or job destruction?

In recent years, the technological advancements embodied by digital technology have received significant attention from policymakers and researchers because of their profound impacts on the economy and society. In particular, the relationship between digital technology and employment continues to be a subject of considerable debate. This article focuses on the microperspective, and the causal effects and mechanisms of corporate digital transformation on labour employment are examined. With the use of data on Chinese A-share manufacturing companies from 2008– to 2019, text analysis is employed in this study to construct a comprehensive index of corporate digital transformation. We utilise a combination of fixed effects models, difference-in-differences (DiD) models, and instrumental variable methods and demonstrate that digital transformation stimulates enterprise labour demand, a conclusion that remains valid after multiple endogeneity tests and robustness assessments. The heterogeneous results indicate that nonstate-owned enterprises (non-SOEs), nonhigh-tech enterprises, enterprises with low financing constraints, and small enterprises exhibit greater employment creation effects through digital transformation. Mechanistic analysis suggests that digital transformation increases enterprise employment by increasing operational and management efficiency, profitability, and labour productivity levels. Further exploration reveals that digital transformation increases the demand for labour with varying skills and human capital upgrading in enterprises. This article, through the lens of digital technology, enriches the body of research on the nexus between technological progress and employment, provides novel insights into employment fluctuations under the digital paradigm, and outlines significant implications for countries balancing digital economy development, employment growth, and social stability.

Strategi Komunikasi CSR Samsung untuk Meningkatkan Pendidikan di Indonesia melalui Program Samsung Innovation Campus (SIC)

In Indonesia, one of the challenges experienced by the government here is that there are still many unemployed people. According to data from BPS in August 2022, the unemployment rate in Indonesia was mostly from vocational school graduates, namely 9.42%, 8.57% from high school graduates, 4.59% from Diploma I/II/III graduates and graduates from university is 4.8%. This shows that existing job offers can’t be absorbed by the existing group of educational graduates. To be part of a good corporate citizen in Indonesia, Samsung through its CSR program focuses on education program. Samsung Innovation Campus (SIC), a program through technology skills training to prepare Indonesia's young generation for the digital era with coding and programming and IoT training for senior high school, and vocational high school students. The program is aiming to equip youth with digital literacy including critical technical skills, and bridging educational divides to give underserved students.

Analisis Faktor-Faktor yang Mempengaruhi Tingkat Pengangguran Terbuka di Kota Medan: Periode 2017-2022

This research aims to analyze the factors that influence the level of open unemployment in Medan City during the 2017-2022 period. Variables considered in the analysis include population, minimum wage, and human development index. By using statistical analysis methods, the research results show that these factors have a significant influence on the unemployment rate in Medan City. Apart from that, the determinant test, F test, and T test were also carried out to test the relationship between the variables studied. The findings from this research provide valuable information for policy makers in designing more effective economic development strategies in Medan City. The implications of this research can be used as a basis for formulating policies that can reduce unemployment levels and improve people's welfare in the region.

One reservoir and different views on local development: text mining analyses for the Mucharz Reservoir, Poland

Abstract In this study, we analyzed the relationship between how a community views reservoir construction and the plan for local development around it. Specifically, we focused on the social perception of the Mucharz reservoir in Poland. The research hypothesis assumed that residents’ expectations of socioeconomic development around the reservoir dam determined whether they were satisfied with the project. Fifty-nine in-depth interviews with residents of villages adjacent to the newly created dam facility were conducted. The resulting data were analyzed using text mining methods. We identified three groups of people who perceived the reservoir in different ways. Most respondents perceived the reservoir positively, mostly because of economic benefits from investments, including job creation or intensive tourism development. However, these issues do not always determine whether a local community perceives a dam project positively.

Simplification analysis of labour policy and regulation as an effort to increase micro and small enterprises’ growth in Indonesia

This research aims to examine in more depth the changes resulting from the Job Creation Law, which impact the level of business friendliness in Indonesia, and how to analyze these changes to improve the business environment to be more conducive to carrying out business activities. This research uses normative legal research methods and is analytical descriptive research. There have been several changes since the emergence of the Job Creation Law, such as the establishment of a limited liability company. Changes to the Job Creation Law could improve the Indonesian economy. However, juridically, this regulation gives authority to the central government to manage micro and small businesses, contrary to the principle of decentralization, which prioritizes the provision of resources to local governments.