The Relationship Between Age and Human Ability to Provide Sufficient Labor RIANA FEEMSTER SOCI332 29MAR2023

The Relationship Between Age and Human Ability to Provide Sufficient Labor RIANA FEEMSTER SOCI332 29MAR2023.

[Audio] A workforce's productivity depends on various factors, including physical fitness, skills, gender, and age. However, it is important to recognize that these factors impact productivity differently. Physical fitness is essential for productivity as it ensures that workers are physically capable of performing their duties without fatigue or injury. Regular exercise and healthy habits can improve physical fitness and increase productivity. Skills are also a significant factor in productivity. Workers with a broad range of skills are often more productive than those with limited skills. Employers should invest in training and development programs to improve the skill set of their employees, which can lead to increased productivity. Gender can also impact productivity in some cases. While both men and women are equally capable of performing the same tasks, gender bias can result in unequal pay, workloads, or opportunities. Addressing gender inequality can lead to a more productive and engaged workforce. Age is another factor that can impact productivity. While younger workers may have more energy and enthusiasm, older workers may have more experience and wisdom. It is essential to create a diverse workforce that includes workers of all ages to ensure a balance of energy, experience, and expertise..

[Audio] Age is a crucial factor in the labor market and should be seriously considered. As people age, their abilities, skills, and needs change, which affects their ability to participate in the labor market. The impact of aging on the workforce directly affects the provision of goods and services globally. Therefore, it is important to recognize the role of age in the labor market and adapt to economic changes that affect older workers (Davidescu et al., 2020). Failing to do so could lead to difficulties in incorporating older adults into the workforce, resulting in a loss of valuable human resources and potential economic benefits..

[Audio] The source of the study is the General Social Survey, a survey conducted every two years by NORC (National Opinion Research Center) at the University of Chicago, which collects information on social trends and attitudes in the United States. The survey is funded by the National Science Foundation (NSF), a federal agency supporting research and education in science, technology, engineering, and mathematics (STEM) fields (Stone, Cox, Gavin, 2020). The study did not use the entire dataset from the General Social Survey. Instead, the study used an extract of data from the years 2000 to 2018. A subset was selected from the General Social Society between 2000 to 2018 to analyze and draw conclusions. This extract may have been chosen for various reasons, such as to focus on a particular trend or to make the analysis more manageable..

[Audio] The study investigated the relationship between age and the weekly hours worked. Variables of interest included age, number of hours usually worked in a week, and number of hours worked the previous week, all measured on a scale. Other variables included marital status, government or private employee, and respondent's employment status, and all were measured nominally. The dependent variable was the number of hours usually worked in a week, while the predictor variable was age..

[Audio] These figures are the results of a survey or study that collected data on the marital status of 26,678 participants. The figures indicate that the majority of respondents are married, with 46.2% of participants reporting being married. The second-largest group is those who never married, accounting for 25.8% of the respondents. The other categories of marital status reported by the participants are as follows: 16.0% of respondents reported being divorced, 8.5% reported being widowed, and 3.4% reported being separated. These figures can provide insights into the demographics and social trends of the group being studied, such as the prevalence of marriage, divorce, and widowhood, as well as potential correlations between marital status and other variables being studied in the same survey or study..

[Audio] The data indicate the employment status of 25,571 participants who responded to a question about their employment status. The figures show that most respondents (88.5%) work for someone else, while a minority (11.5%) are self-employed. In terms of sector, 81.1% of respondents work in the private sector, while 18.9% work for the government..

[Audio] Figure 1, Figure 2, and Figure 3 illustrate the three variables (marital status, self-employment status, and sector of employment) in visual form, providing a more detailed and accessible representation of the data. This information can be useful in understanding the makeup of the group being studied and for drawing conclusions about employment patterns and trends in the private and public sectors. It may also inform policy decisions related to employment and labor market interventions..

[Audio] In sum, age and the number of hours worked per week have a negative relationship, meaning that people tend to work fewer hours as they age. This is because older individuals may struggle to adapt to changes in education and technology, resulting in poorer labor performance. The study suggests that future research should explore the relationship between marital status and labor provision, as well as how the availability of children affects the number of hours worked..

References. Davidescu , A. A., Apostu , S. A., Paul, A., & Casuneanu , I. (2020). Work flexibility, job satisfaction, and job performance among Romanian employees—Implications for sustainable human resource management. Sustainability, 12(15), 6086. Kunugi , H., & Mohammed Ali, A. (2019). Royal jelly and its components promote healthy aging and longevity: from animal models to humans. International journal of molecular sciences, 20(19), 4662..

References. Pahos , N., & Galanaki , E. (2019, March). Staffing practices and employee performance: the role of age. In Evidence-based HRM: a global forum for empirical scholarship (Vol. 7, No. 1, pp. 93-112). Emerald Publishing Limited. Stone, R. J., Cox, A., & Gavin, M. (2020). Human resource management. John Wiley & Sons..