Labor Employment Research Articles

RESEARCH ON THE MECHANISM OF RESILIENT LEADERSHIP'S EFFECT ON THE RESILIENCE OF SMALL TOURISM ENTERPRISES

Tourism, as a strategic pillar industry in our country, is critical in promoting economic development and labor employment. During the "Fourteenth Five-Year Plan" period, China will fully enter the era of mass tourism. This study focuses specifically on small tourism enterprises. Based on a review of the resilience of domestic and foreign enterprises, guided by relevant theories such as dynamic capability theory and resource allocation theory, and on the basis of redefining the concept connotation and extension of small tourism enterprises' resilience, tenacious leadership, inter-organizational learning, resource restructuring and environmental complexity, This paper builds a theoretical model based on the influence mechanism of resilient leadership and resilience of small tourism enterprises, describes and statistically analyzes the basic characteristics, current situation and existing problems of resilience of small tourism enterprises, and uses case analysis and empirical analysis methods to explore the impact degree and impact path of resilient leadership on resilience of small tourism enterprises. Finally, the study proposes measures to boost the resilience of small tourism enterprises, drawing from the findings of case and empirical analysis.

Social security fee reduction, industrial robots, and labor income share

This study explores whether the policy of reducing labor payments can have opposite effects to those expected. Specifically, it investigates whether reducing the social insurance contribution rate can increase labor employment and enhance overall labor income. This study focuses on a direct social security fee reduction event in China. This event targets labor-intensive enterprises and encourages adopting industrial robots. By leveraging this quasi-natural experiment, we construct a mathematical model. Further, using a triple-difference strategy, we examine the impact of social security fee reduction on firm factor structures and income distribution. This study observes that a social security fee reduction decreases the labor income share of enterprises. However, this only applies to non-small and medium-sized enterprises (non-SMEs) and is not observed in SMEs. Consequently, because of the social security fee reduction, automation is the primary cause of the decline in the labor income share. The reduction in social security fees enables companies to use the saved funds for further automation, causing labor productivity to exceed labor costs and ultimately reducing the labor income share. The findings suggest that industrial specialization is one of the reasons for labor income share decline in transitioning economies.

How does climate regulatory risk influence labor employment decisions? Evidence from a quasi-natural experiment

We exploit a green lending mandate as a quasi-natural experiment and estimate its effect on labor investment inefficiency of firms with high carbon risk. We document that heightened climate regulatory risk through mandatory green lending requirements motivates firms with higher carbon risk to adjust their labor investments to levels supported by economic fundamentals. We especially show that climate regulatory risk lowers labor investment inefficiency by curbing overinvestment in labor. This impact is more concentrated among firms that are more dependent on banks for liquidity, firms with severe financial constraints, and those with more institutional investors. After the green credit policy, we also observe an increase in bank lending costs and a reduction in loan maturities for carbon-intensive firms. Overall, our findings suggest that climate bank lending regulation is one of the major channels through which climate risks get embedded in labor employment decisions. In particular, green lending regulatory costs can have significant effects on corporate labor investment efficiency.

Science Curriculum Quality, Instructional Resources Adequacy and Employability Skills Acquisition Level of Potential Science Graduates in Nigerian Universities

Abstract The study’s primary purpose was to expose science curriculum quality and instructional resource adequacy as variables affecting the employability skills acquisition level of potential science graduates. With the adoption of the survey research design, the study employed three different questionnaires to collect data from three groups comprising potential science graduates, lecturers of various colleges/faculties of science of universities, as well as employers of labor in South-West Nigeria. The collected data were analyzed using various statistical methods such as frequency, percentage, mean, standard deviation, and multiple linear regression analysis. The results indicated that an increase in the science curriculum quality and the availability of instructional resources corresponded to an increase in employability skills acquisition level, and these relationships were found to be statistically significant. The study concludes by recommending the need for collaboration among stakeholders to develop and implement innovative and high-quality science curricula and instructional resources to foster relevant and modern employability skills in science graduates.

Frameworks describing the transition to open labour employment for persons with mild and moderate intellectual disability: a scoping review protocol

IntroductionPersons with mild and moderate intellectual disability (MMID) have the right to participate in all aspects of society and be afforded equal opportunities to realise their full potential. However, it...

Pengaruh Kompensasi, Disiplin Kerja Dan Kepuasan Kerja Terhadap Kinerja Karyawan

This research aims to examine the significance of the influence of compensation, work discipline and job satisfaction on employee performance (case study on PT Rumpun Sari Kemuning, Ngargoyoso District, Karanganyar Regency). This form of research is a survey. The population in this research is 300 employees. The sample in this research was 75 labor employees obtained from the Slovin Formula. The sample sampling method uses random sampling techniques. This research uses a descriptive data analysis method, and is analyzed using multiple linear regression analysis. The data collection strategy uses questionnaires. The findings show that compensation, work discipline and job satisfaction have a significant effect on the performance of PT Rumpun Sari Kemuning employees.

Role Balance Assignment Based on OCAT Method in Human Resource Planning

The core of human resources is the division of labour of enterprise employees. A human resource allocation method based on the E-CARGO model was designed to improve the development potential of enterprises and balance the preferences of managers and the task execution of employees in human resource allocation. This method was used to analyse the preferences of enterprise managers for employees and describe their preferences using the E-CARGO model. Then the OCAT method was used to mine the relationship between the team execution and the preferences of managers to find the balance between the two. The results showed that the experimental Scheme found the balance between the team execution and the preferences of managers. The original experimental scheme found three balance points, the improved scheme found three balance points, and the improved scheme found one balance point and one balance interval. Among the three experimental schemes, the improvement Scheme 1 achieved the highest execution ability and the shortest time. The research successfully analyses the relationship between the team execution and the preferences of managers in enterprise human resource assignment and puts forward a human resource assignment scheme that takes both into account.

How does digital inclusive finance influence non-agricultural employment among the rural labor force? ——Evidence from micro-data in China

In the context of the integration and development of inclusive finance and digital technology, exploring the relationship between digital inclusive finance and non-farm employment of rural laborers is of great significance in promoting rural economic development and realizing common prosperity for all. Based on data from the 2018 and 2020 China Family Tracking Survey (CFPS) and Peking University's Digital Financial Inclusion Index, this paper investigates the impact of digital inclusive finance on the non-farm employment of rural labor and its transmission mechanism. The results of the study show that both digital inclusive finance and its sub-dimensions can promote the non-farm employment of rural laborers, and have stronger inclusion and inclusiveness compared with traditional inclusive finance. Mechanism analysis shows that both Internet use and social trust can positively moderate the relationship between digital inclusive finance and non-farm employment of rural laborers, and that digital inclusive finance can promote non-farm employment of rural laborers by alleviating financing constraints and enhancing risk preferences. Further heterogeneity analysis shows that digital inclusive finance promotes employed non-farm employment more significantly than entrepreneurial non-farm employment, and on this basis, there are also differences for different employment groups and different regions. The findings of this study aim to provide theoretical reference and support for relevant departments to formulate policies to realize higher quality full employment of rural labor.

PECULIARITIES OF CREDIT BEHAVIOUR OF THE POPULATION DURING THE WAR

This article focuses on the peculiarities of the credit behaviour of the population during the war. In times of instability, financial issues are particularly acute among the population, which in turn attracts the attention of researchers and the public to address this issue. In the article, the author focuses on the consequences of the impact of the military conflict on the life of the population, the level of optimism and stability of the economic situation, which generally affects the credit behaviour of the population. The features of the credit behaviour of the population in wartime are determined. In particular, credit behaviour is considered as one of the types of financial behaviour of the population aimed at temporary borrowing of external funds to meet personal needs. Credit behaviour in wartime depends on the financial stability of the population. The article shows the relationship between labour employment and credit behaviour of the population, as the number of jobs decreases and the number of job seekers increases. The author notes that declining incomes, unemployment and inflation lead to problems with loan repayment. Late repayment of loans has negative consequences for both credit service providers and borrowers. Indeed, in times of instability, the issue of compliance with previously assumed obligations becomes particularly acute. Economic instability, changes in exchange rates, socio-economic conditions, government policies and personal capabilities of each citizen, and asset impairment can pose a risk to borrowers and lenders. The article presents an analysis of credit behaviour during the war, which allows us to outline the prospects for economic modernisation of Ukraine and improve our understanding of this topic, since the development of practical approaches to understanding credit behaviour will contribute to the development of an effective policy of modernisation of Ukraine, generating new insights into the directions and pace of the dynamics of modernity in general.

Environmental regulation and labor demand: Evidence from China's air pollution prevention and Control Action Plan

In response to environmental regulatory pressure from the government, enterprises – as the main employers of labor – adjust their production-related choices and may alter their demand for labor. Numerous researches have probed into how environmental regulations affect the labor demand, which has emerged as a significant concern in the discourse around the adoption of environmental regulation policies. Nonetheless, many researches predominantly concentrates on the evaluation on the effects of environmental regulations on economic and environmental levels. Moreover, rare attention has been paid to how environmental regulations affect social activities, especially in terms of labor demands. As a result, the Air Pollution Prevention and Control Action Plan (APPCAP) is adopted as a “quasi-natural experiment” and a difference-in-differences model is employed to analyze the effects of the APPCAP on labor demands of companies. Hence, the 2008–2020 panel data are considered for the 3,949 Chinese A-share listed enterprises. Furthermore, this paper probes deeply into the underlying mechanisms based on mediation models. The following findings are thus concluded: (1) The labor demands of enterprises can be remarkably increased by APPCAP; and the result is still persuasive even though the endogeneity issues are taken into account. (2) APPCAP improves enterprise labor demand through the output and factor substitution effects. (3) As evidently revealed by heterogeneity analysis, the APPCAP could significant positive affect the labor demand size in state-owned companies, large-scale companies, new companies, and companies in polluting industries. (4) The APPCAP strikingly boosts the demand for labor force with high skills. Nevertheless, it exerts little influence on the demand for labor force with low skills and company salary levels. Therefore, the government must continue to steadfastly implement environmental regulatory policies but adopt different policies based on enterprise characteristics. Overall, this study provides micro-level experimental evidence for more in-depth understanding of how environmental policies affect labor market, which is particularly important for actively resolving social employment problems and exploring new growth points in enterprise employment.

Internet Usage and Non-Farm Employment of Rural Labor: Micro-Survey Data from Rural China

Internet Usage and Non-Farm Employment of Rural Labor: Micro-Survey Data from Rural China

Does environmental pollution reduce residents’ income? Evidence from CFPS in China

Understanding the relationship between environmental pollution and residents’ income is extremely important for promoting sustained progress and high-quality economic growth. This research examines the impact, mechanism, and heterogeneity of environmental contamination on residents’ earnings by fusing the micro data from China Family Panel Survey with the macro data of government statistics. The results reveal that environmental degradation has a significantly negative impact on residents’ individual income. Further research on the intermediary mechanism finds that environmental pollution plays a harmful role in residents’ income by reducing residents’ subjective well-being and labor employment. Besides, the income effect of environmental pollution is significantly heterogeneous among different regions and differentiated groups. The deteriorating environmental quality widens urban–rural income gap and increases wage inequality of inhabitants in eastern, central, and western regions of China. The gender income gap and the income disparity between different income brackets also expand with environmental deterioration. These findings not only prove that long-term development at the cost of the ecological environment is undesirable, but also demonstrate the important role of the improvement of ecological environmental quality in promoting human well-being.

A spatial perspective on the impact of digital financial inclusion on the employment structure of the labour force: Evidence from Chinese cities

Abstract In the context of big data, the rise of digital inclusive finance is driving the digital transformation of various industries, which in turn, has a profound impact on labour employment. Based on the panel data of 258 prefecture-level cities in China from 2011 to 2021, this article evaluates the impact of digital financial inclusion on the employment structure of the labour force and investigates its spatial spillover effects by constructing a spatial Durbin model and a mediation model. The study finds that: (1) Digital financial inclusion increases the employment demand for high-skilled and low-skilled labour and decreases the employment demand for middle-skilled labour, that is, the employment structure of the labour force shows a polarisation trend. (2) There is a positive spatial spillover effect of the impact of the development of digital financial inclusion on the demand for high- and low-skilled labour. (3) Financial digitisation plays an intermediary role in the process of digital financial inclusion affecting the employment structure of the labour force. Taking advantage of the dividends brought about by the development of digital inclusive finance and formulating policies according to the actual situation of each region indicate an undeniable choice for achieving full employment.

State policy of supervision and control regarding compliance with labour discipline of employees and its implementation

Research issue: The study is driven by contemporary global challenges regarding the stability and efficiency of production processes, the necessity to enhance competitiveness, and ensuring workplace safety, which demands a systematic approach to monitoring and supervising adherence to labour discipline. The research is theoretical in nature. The aim/objective of the study is to analyse the specifics of state policy on supervision and control over employees’ adherence to labour discipline, the peculiarities of its practical implementation, and perspectives for improvement. Method: The study employed a logical-semantic method, analytical and documentary methods of analysis, and the method of expert assessment of labour discipline of employees and employers based on their evaluation of certain aspects of labour discipline. The research methodology included a sample size of 30 respondents, and the research instrument was expert evaluation. Data collection was conducted through surveys, and the calculation method was quantitative. Results: The article examines the impact of the main incentives and methods on ensuring labour discipline, determining their essence and forms of manifestation. It also considers the extent of application of each method in enterprise practices. It was found that economic methods are widely used and aimed at increasing employee motivation and maintaining their labour discipline. The analysis revealed that the main manifestations of employee labour discipline and managerial duties are differences in the perception of labour discipline by both parties. It was found that employers underestimate the productivity and abilities of employees, indicating potential systemic deficiencies in human resource management. Conversely, employees note that managers ignore their needs and problems. The results of the expert evaluation showed that employees rated their discipline higher than employers did. These discrepancies in evaluations could affect internal relations within the team and require managerial attention to improve interaction and cooperation. Conclusion: Based on the assessment of labour discipline, systemic deficiencies in human resource management were identified, highlighting the need for appropriate monitoring and employee motivation mechanisms. The study proposes innovative personnel management methods to ensure labour discipline in enterprises, including HR branding, team building, mentoring, and grading. It is proven that these approaches allow for the creation of a fundamentally new management system to ensure compliance with labour discipline and the development of professionalism and employee motivation.

Improvement of the System of Accounting for Bonuses for Personnel at the Enterprise of the Military-Industrial Complex

The relevance of the study consists in the need to increase the motivation and efficiency of personnel in the context of a changing economic situation and technological changes at the enterprise of the military-industrial industry.The purpose of the study is to develop a system for accounting for bonuses for personnel on the basis of an updated system of principles for stimulating the activities of employees at the enterprise of the military-industrial complex.The оbjectives: are to develop, on the basis of a comparative analysis of the peculiarities of the industry and the principles of stimulation, a refined system of principles for stimulating the activities of employees; test the method of assessing the performance of employees of scientific, technical and production departments; develop a regulation on the distribution of the amount of the bonus between employees of the enterprise at the end of the reporting period.The methodology is a qualitative study, including an analysis of the existing system of accounting for personnel bonuses, as well as the introduction of an improved system of accounting for bonuses at the enterprise of the military-industrial complex.Results. The article describes the development of a new model for accounting for bonuses for personnel, adapted specifically for enterprises of the military-industrial complex, taking into account their characteristics and needs, and also contains practical recommendations for improving the system of accounting for bonuses for personnel at enterprises of the military-industrial complex, based on the result of the study.Conclusions. Based on the generalization of the best practices of scientists, in terms of the formation of requirements for the system of incentives for employees, as well as the specifics of the activities of the defense industry, the system of principles for stimulating the activities of employees in defense industry organizations was clarified, which made it possible to reduce staff turnover and achieve the strategic goals of enterprises. Key performance indicators have been proposed and tested to assess the performance of employees, as well as regulations on the distribution of the amount of the bonus between employees of the defense industry enterprise based on the results of the reporting period based on the assessment of the employee's labor contribution, obtained by summing up points on basic bonus indicators and individual motivation indicators, This made it possible to calculate the employee's remuneration in a certain order and establish the procedure for awarding employees of scientific and production divisions.

“Promoting employment, supporting intelligence first”: the impact of digital literacy on non-farm employment of rural labour

ABSTRACT The practical implementation of the employment promotion effect of the digital economy is closely linked to the digital literacy of rural labourers. Based on the China Family Panel Studies (CFPS) data, this paper uses the Probit model to empirically test the impact and mechanism of digital literacy on rural labour non-agricultural employment. Our findings reveal that digital literacy has significant non-agricultural employment promoting effect, with digital business literacy and digital work literacy having the most significant promotion effect on the impact of non-agricultural employment of rural labourers. The mechanism test reveals that digital literacy promotes rural labour non-agricultural employment by improving rural labour human capital, increasing information accessibility, and decreasing household work time; heterogeneity analysis indicates that digital literacy has a greater non-agricultural employment promotion effect on the rural female labour force. Our findings shed light on the critical issue of Chinese non-agricultural employment in rural China and highlight the importance of improving digital literacy.

Education, crowding‐out, and Black‐White employment in youth labor markets: Evidence from No Pass, No Drive policies

AbstractWe study how education affects Black and White youth employment in the context of No Pass, No Drive (NPND) policies, which require that teens attend school to hold drivers' licenses. Using difference‐in‐differences estimation, we find that NPND policies increase Black teen employment by 6.7 p.p. without affecting labor force participation (LFP), while reducing White teen employment and LFP by 8.3 p.p. and 5.9 p.p., respectively. We find similar, but smaller effects for Black and White adults ages 18–25. By increasing school enrollment, NPND policies cause White youths to exit the labor force, increasing labor market tightness and improving job finding for Black youths.

Impact of digital economy development on labor force employment

Since the first year of the commercial application of big data, the digital economy has become an important driving force for global economic development and has had a huge impact on the labor employment market. This paper aims to explore how the development of the digital economy reshapes the employment pattern of the labor market. By analyzing the core features of the digital economy, which is highly informative, networked, and intelligent, it reveals the dual effects of the digital economy on the total and structural employment of the workforce and puts forward policy recommendations to address the employment challenges posed by the digital economy. The study finds that, on the one hand, the application of automation technology and artificial intelligence has reduced the demand for traditional low-skilled labor, triggering employment reductions in some industries; on the other hand, emerging digital technologies have created new career opportunities, especially in the fields of data analysis, software development, and digital marketing, which have brought more employment opportunities for high-skilled labor. In addition, the digital economy has given rise to numerous flexible forms of employment.

Will advancement in technologies bring fear and damage human employment? Evidence from China's manufacturing industry.

Advancement in technologies such as robotic industries and artificial intelligence bring fear among human being that jobs will be substituted by robots. Base on the panel data of 28 China's manufacturing industries, this research analyzed the impact of technical progress bias on employment. First, we calculate the technical progress bias index of 28 industries base on the stochastic frontier model with transcendental logarithm function found 16 industries were toward the skilled labor while the remaining 12 industries were toward the unskilled labor. Second, the empirical results show that technical progress bias has a positive impact on the total manufacturing employment and significant positive effect on the unskilled labor, while no significant impact on skilled labor employment. Third, the threshold effect test proves that if taking industry value-added per capita or R&D capital stock as threshold variable, the threshold about the impact exist, making the impact on skilled labor was insignificant.

The Impact of Artificial Intelligence on Current Social Employment and Structure: Empirical Evidence from Provincial Industrial Robots

Artificial intelligence, as the core driving force of the new round of technological revolution and industrial change, has far-reaching impact on current social employment and structure. This study, based on the data of provincial industrial robots, explores the impact of artificial intelligence on employment. Through literature review, it is found that artificial intelligence has impact on the labor market, which may lead to changes in employment scale, employment structure, and income distribution. The study uses panel data model to analyze the impact of artificial intelligence development on employment scale and structure in 31 provinces (autonomous regions, municipalities directly under the Central Government) of China from 2010 to 2019. The results show that the development of artificial intelligence has a significant promoting effect on the employment scale in China, and also affects the employment structure towards “high-end” direction, but there is also a spillover effect towards “polarization”. In addition, the study finds that artificial intelligence has different effects on the employment of labor with different skills, promoting the employment of high-skilled labor in the manufacturing industry and inhibiting the employment of low-skilled labor, leading to a trend of high-end employment structure in the manufacturing industry. Therefore, the study proposes some prospects and suggestions for the impact of artificial intelligence on the social employment structure, in order to promote the transformation and upgrading of the industry, and achieve efficient intelligent production and optimal adjustment of employment structure. Through in-depth analysis of this study, important reference basis is provided for the current social issues facing the impact of artificial intelligence.