Occupational Structure Research Articles

Economic Consequences of Mass Migration: The Venezuelan Exodus in Peru

We study the effects of an unexpected and large migration from Venezuela on Peruvian labor markets. From 2017 to 2019, about 800,000 Venezuelans migrated to Peru, with 84% settling in the Lima metropolitan area. The percentage of Venezuelans in the working age population in Lima increased from nearly 0 to over 10%, with migrants having higher education on average than the local labor force. We propose a simple assignment model of the labor market, which suggests that migration will lead to a reallocation of local workers toward low-skilled jobs. Using synthetic control methods and comparing Lima with a group of other Peruvian metropolitan areas, we find evidence of adjustment in occupational structure in the direction predicted by the model with few decreases in employment of local workers.   JEL Classification Codes: F22; J04; O15

Occupational inequalities and gender differences: work accidents, Brazil, 2019.

To analyze the distribution and association of sociodemographic and occupational factors with self-reported work accidents (WA) in a representative sample of the Brazilian population, with emphasis on occupational class, and to examine gender differences in this distribution. A population-based cross-sectional study, using data from the 2019 National Health Survey (PNS), analyzed the responses of a sample of adults aged 18 or over. Factors associated with WA were investigated using binary logistic regression and hierarchical analysis using blocks (sociodemographic and occupational variables). The final model was adjusted by variables from all blocks, adopting a significance level of 5%. The values of odds ratios (OR) and respective confidence intervals were obtained. Among the participants, 2.69% reported having suffered a WA, with a higher prevalence in men (3.37%; 95%CI 2.97-3.82%) than in women (1.86%; 95%CI 1.55-2.23%). The analysis identified that age group, night work, working hours, and exposure to occupational risks were associated with WA, with emphasis on gender differences. The class of manual workers, both qualified (ORwomen = 2.87; 95%CI 1.33-6.21 and ORmen = 2.46; 95%CI 1.37-4.40) and unskilled (ORwomen = 2.55; 95%CI 1.44-4.50 and ORmen = 3.70; 95%CI 1.95-7.03), had a higher chance of WA than the class of managers/professionals. Occupational factors contributed significantly to the increase in the probability of WA for men and women, with greater magnitude among those positioned in the lower strata of the occupational structure. The results obtained are clues for working out WA prevention actions.

A Study of Occupational Structure in Kerala State Using GIS Techniques

Occupational structure is the distribution or division of working population in different sectors based on occupations. It is one of the key elements in manifestation of population composition of a region. The economy is segregated based on its occupational structure namely, the agriculture sector, industrial or manufacturing sector and service sector. Occupational structure provides clear picture of working and non-working population in an area. The growth and prosperity of a region largely depends on the size of working population and proportion of productive workers engaged in various economic activities. The objective of this study is to find out the shift in occupation from primary sector to other sectors and the rate of change in last two decades from 2001 to 2011 in Kerala state with district as spatial unit. The study is based upon the secondary data collected from Census 2001 and 2011.By using GIS techniques thematic maps were prepared to show the variation in occupational structure in the study area. To find out the changes in occupational structure, percentage of workers engaged in four categories are to be calculated. There is a remarkable shift of workers from agriculture to non-agricultural sector in Kerala.

Advanced Ambiance Sensing Device using ESP32 and BME680

Occupational structure is the distribution or division of working population in different sectors based on occupations. It is one of the key elements in manifestation of population composition of a region. The economy is segregated based on its occupational structure namely, the agriculture sector, industrial or manufacturing sector and service sector. Occupational structure provides clear picture of working and non-working population in an area. The growth and prosperity of a region largely depends on the size of working population and proportion of productive workers engaged in various economic activities. The objective of this study is to find out the shift in occupation from primary sector to other sectors and the rate of change in last two decades from 2001 to 2011 in Kerala state with district as spatial unit. The study is based upon the secondary data collected from Census 2001 and 2011.By using GIS techniques thematic maps were prepared to show the variation in occupational structure in the study area. To find out the changes in occupational structure, percentage of workers engaged in four categories are to be calculated. There is a remarkable shift of workers from agriculture to non-agricultural sector in Kerala.              

Associations of Anxiety, Insomnia, and Physical Activity during the COVID-19 Pandemic.

Anxiety, insomnia, and physical activity (PA) are interrelated, but the bi-directional relationships between these three variables are not well understood. Less is known of these relationships in settings of disrupted daily activities and acute stress. This study aimed to characterize and examine relationships between insomnia, anxiety, and PA throughout the first year of the COVID-19 pandemic, when many lifestyle behaviors were disrupted. Participants comprised a convenience sample of 204 adults (55.4% female; 43.85 ± 15.85 years old) who completed the Generalized Anxiety Disorder Questionnaire (GAD-7), Insomnia Severity Index (ISI), and the International Physical Activity Questionnaire (IPAQ) at three time points through the first year of the COVID-19 pandemic. A cross-lagged panel model was used to evaluate these variables' concurrent, autoregressive, and cross-lagged relationships across time. Follow-up dynamic panel modeling using maximum likelihood and structural equation modeling was employed. Approximately 64% of participants reported their work/occupation as affected by the pandemic. At baseline, associations between anxiety and insomnia were observed (β-coefficient: 15.87; p < 0.001). Insomnia was a positive future predictor of anxiety (ISI time point 2: 7.9 ± 5.6 points; GAD-7 at time point 3: 4.1 ± 4.2 points; β-coefficient: 0.16; p < 0.01). No associations were observed between PA and anxiety or insomnia (all p > 0.05). Insomnia and anxiety were interrelated, and effects were cross-lagged. These data can inform future work focused on improving anxiety in settings of acute stress and disruptions to daily life, such as changes in occupational structure and stability. Specifically, targeting sleep parameters may be of interest to elicit downstream positive health behaviors.

Digitalization and the Future of Employment: A Case Study on the Canadian Offshore Oil and Gas Drilling Occupations

This paper presents a novel approach to identifying reskilling requirements, job merging pathways, and a tentative timeline for transforming offshore oil and gas drilling occupations amid the fourth industrial revolution (industry 4.0). The proposed algorithm focuses on potential job merging due to technological adoption. It introduces a scaling factor named digital readiness level to incorporate modulation factors (e.g., cost of development and deployment of new technologies, labour market dynamics, economic benefits, regulatory readiness, and social acceptance) that act as catalysts or hindrances for technology adoption. A feature-based approach is developed to assess the similarities between occupations, while a mathematical model is developed to project automation trajectories for each job under investigation. These facilitate the consideration of potential job merging scenarios and the associated timeline. Since technology adoption depends on the industry, region, occupation, and stakeholder’s ability to manage the transformation, the proposed algorithm is presented as a case study on Canadian offshore oil and gas drilling occupations. However, this algorithm and approach can be applied to other industries or occupation structures. The proposed algorithm projects that the total number of personnel on board (POB) in a typical offshore drilling platform will be reduced to six by 2058. A sensitivity analysis was conducted to assess the robustness of the proposed algorithm against variations in the feature values and weighting factors. It was found that when changing feature values and weighting factors up to <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\pm 20\%$</tex-math> </inline-formula> of their original values, only one job that remains after 2058 follows three different job merging pathways, while others remain unchanged. Even the job that followed three different pathways was composed of the same source jobs compared to the corresponding job in the baseline results. <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Note to Practitioners</i> —This research is inspired by the ongoing digital transformation initiatives and their socioeconomic impact. The adoption of digital technologies, such as automation, robotization, digital twins, data-driven decision-making systems, smart devices, and cloud computing technologies, gradually transform existing workplaces into digitally-enabled smart workplaces. Therefore, stakeholders must invest in training programs to reskill existing workforces and to orient prospective employees to work at these smart workplaces. If technology adoption occurs at a rapid or slower pace than workforce reformation, industries cannot gain the optimum benefit from their digital transformation initiatives. Also, human capital investments may not generate much benefit if technology adoption and workforce reformation occur at different rates. Therefore, this work presents a novel framework to predict future employment scenarios, particularly for the workers in offshore oil and gas drilling activities, along with a tentative timeline. Stakeholders can utilize the proposed framework to effectively plan the pace of technological adoption, future workforce transformation and human capital investments.

Sustainable Development of the Rural Labor Market in China from the Perspective of Occupation Structure Transformation

This study analyzes the structural transformations of the occupations of all off-farm rural laborers in China over the period 2007–2022. The changes in the rural labor market are mainly reflected in the decrease in the share of routine manual laborers from 66.59 percent to 52.77 percent, and the increases in the shares of non-routine cognitive and non-working laborers by 4.48 and 10.73 percentage points from 2007 to 2022, respectively. By adopting decomposition analysis, which improves the definition of occupational classification based on information on sub-sectors in industries and job contents using a dataset with a nationally representative sample covering 2000 rural households, the results show that both composition effect and propensity effect play important roles in the decrease in routine manual occupations; the composition effect dominates the changes in the non-routine cognitive occupation category, while the propensity effect is the main driver of the increasing trend in the non-working group. The economic model further illustrates the results of decomposition analysis. These findings imply that the government should further improve education in rural areas and pay greater attention to female and low-education-attainment groups among rural laborers. This study provides a reference for policies aimed at promoting the sustainable development of the rural labor market.

“Stepping-Stone” versus “Dead-End” Jobs: Occupational Structure, Work Experience, and Mobility Out of Low-Wage Jobs

Does working in a low-wage job lead to increased opportunities for upward mobility, or is it a dead-end that traps workers? In this article, we examine whether low-wage jobs are “stepping-stones” that enable workers to move to higher-paid jobs that are linked by institutional mobility ladders and skill transferability. To identify occupational linkages, we create two measures of occupational similarity using data on occupational mobility from matched samples of the Current Population Survey (CPS) and data on multiple dimensions of job skills from the O*NET. We test whether work experience in low-wage occupations increases mobility between linked occupations that results in upward wage mobility. Our analysis uses longitudinal data on low-wage workers from the 1979 National Longitudinal Study of Youth (NLSY) and the 1996 to 2008 panels of the Survey of Income and Program Participation (SIPP). We test the stepping-stone perspective using multinomial conditional logit (MCL) models, which allow us to analyze the joint effects of work experience and occupational linkages on achieving upward wage mobility. We find evidence for stepping-stone mobility in certain areas of the low-wage occupational structure. In these occupations, low-wage workers can acquire skills through work experience that facilitate upward mobility through occupational changes to skill and institutionally linked occupations.

Occupational Structure of Population in the Malaprabha River Basin, Karnataka State, India; A Geographical Approach

Changes in the size, composition, and distribution of the population are closely associated with the demographic structure of the workforce. On the other hand, the workforce participation rates vary according to the stages of economic development, across cultures, age groups, and between sexes (R. B. Bhagat and K. C. Das, 2008). It is an indicator of a growing society (Pant, 1992). Thus, occupational structure is the most important demographic aspect in explaining the economic well-being structure of the inhabitantsof the region. The occupational structure, in turn, is influenced by the participation rates and related features, such as the growth and levels of farm and rural non-farm activities. An attempt is made in this study to examine the emerging trends in the occupational structure of the population in the Malaprabha River Basin area from 1971 to 2011. More specifically, the spatio-temporal analysis of the work participation rates in total and farm sectors among males and females in the talukas of the study area This study is based upon secondary sources of data, and though the study area is a natural region, the talukas or tehsils have been taken as units of study. The findings suggest that there are undoubtedly significant changes in work participation rates between farm and non-farm sectors and between males and females in the study area. To overcome this context, some developmental policies such as youth employment is one of the prime focus areas of SHGs. This can bring prosperity to workers in far-off rural areas.

Self-Employment Dynamics amid High Unemployment: An Empirical Analysis of Transitional Labour Market in India

There is a high unemployment rate in India, and self-employment is considered a way to create more jobs and stimulate the economy. However, personal and family characteristics and occupational structure play a role in determining who is likely to pursue self-employment. We conducted a study to assess the probability of Indian youth choosing self-employment over regular-wage employment. Our findings show that females living in rural areas and married individuals are more likely to choose self-employment than their male, urban, and unmarried counterparts. Education is also a factor, as those with higher education tend to seek regular-wage employment. Certain occupations, such as technicians and clerical support workers, are less likely to pursue self-employment. To promote self-employment among youth, there should be a focus on enhancing entrepreneurial skills and capabilities.

Reflections on the strategy of hospital development based on the characteristics of new hospitals.

The disease spectrum is constantly changing, meaning patients' medical characteristics are complex and varied, and hospital operations are facing great challenges. To provide a basis for formulating relevant policies, promoting the continuous improvement of medical quality, improving the efficiency of medical services and proposing corresponding countermeasures. Information on the first page of the medical cases of patients discharged from 2020-2021 in the case management system of The Second People's Hospital of Zhangye City was collected, and statistical analysis was performed in terms of the origin, age, gender, occupation and main diagnosis of the patients. The database was established using Excel software, and statistical description was performed using SPSS 23.0 software, in which the main indicators were the number of cases and relative numbers (%). The total number of inpatients in the hospital exhibited an overall upward trend, with the number in 2021 increasing by 40.53% compared with the previous year. Among them, 0.75% of the inpatients resided outside the province and 99.25% resided within the province. The proportion of inpatients within the city was 98.86%, including 85.50% in Ganzhou District and 14.5% in the five surrounding counties (districts). In 2021, the number of inpatients in the five surrounding districts increased by 60.67% compared with the previous year. The occupational structure of the inpatients was mainly farmers, accounting for 64.68%, which was higher than all other occupational groups, while public employees accounted for 17.9%. Inpatients aged 60 years and above accounted for 37.75%. In terms of disease spectrum ranking, circulatory, digestive, respiratory, injury and oncological system diseases ranked in the top five of the presented diseases, accounting for 64.47% of the total number of inpatients. The patients of the new hospital are mainly elderly patients and local farmers. The hospital development should be based on the disease characteristics of this group, improving the diagnosis and treatment capacity of the departments and strengthening the capacity building of the hospital and the level of the medical services.

Regional factors associated with smart factory adoption in South Korea

This study investigates the relationship between regional characteristics and smart factory adoption in South Korea by analyzing smart factory data. Our findings reveal that agglomeration economies and regional occupational structures significantly influence smart factory adoption. Moreover, we identified a neighboring effect, where the presence of existing smart factories within a region fosters further adoption, underscoring the impact of local industrial ecosystems on the diffusion of smart technologies. Our findings show that the impacts of agglomeration economies, occupational structures, and neighboring effects on smart factory adoption vary across different technology levels of smart factories and types of regions, suggesting a complex interplay between regional dynamics and technological advancement in the adoption process.

A Survey-Based Analysis of the Extent of Aluminium Involvement in our Lives for Risk Assessment

Despite being a non-essential metal in the body, we acquire aluminium via various sources such as aluminium cookware, foil, medicines, cosmetics, food, water, and aluminium-industries. Though it can be eliminated from our body, the excess and cumulative effect can’t be ignored. Aluminium load above the threshold causes several diseases like Alzheimer’s, osteomalacia, anaemia, and cancer. Hence, the current study was designed to explore the frequency of aluminium usage in various forms in the Indian population of northwest rural and urban regions of Maharashtra and investigate any preferential difference in aluminium usage with occupation, education, income, and family structure. It is a correlational study designed to check the extent of aluminium involvement in their lives and their perception of awareness. A non-random sampling method using social media was utilized for data collection, and data were analyzed using a statistical tool, Jamovi. A survey-based analysis of the responses to a pre-designed questionnaire was done. The prominent factor contributing to the aluminium load was found to be the aluminium vessel used in our kitchen. Boiling, storing, and baking edible items facilitate its leaching into food to toxic levels. Further analysis revealed a significant correlation of financial and educational status with aluminium usage. Reducing aluminium vessel usage for cooking can significantly reduce aluminium load in our bodies. However, we still need to be vigilant about the aluminium load which the other products are imparting upon us. Hence, awareness and exploring the alternatives are the only options to keep a check on the aluminium load.

Job Polarisation, Labour Market Fluidity and the Flattening of the Phillips Curve

Abstract This paper shows that job polarisation—i.e., the disappearance of routine jobs—is changing the characteristics of the labour market. This has structural implications for the relationship between inflation and unemployment, the price Phillips curve. Using data from the European Monetary Union and exploiting the fact that job polarisation accelerates during recessions, we obtain two empirical results. First, countries experiencing a bigger shift in the occupational structure during a downturn exhibit a flatter Phillips curve afterwards. Second, the occupational shifts experienced during the Great Recession and the Sovereign Debt Crisis explain more than a fourth of the flattening of the curve in the 2002–18 period. Then, using a New Keynesian model with unemployment and search and matching frictions, we highlight a channel through which labour market characteristics operate on the slope of the Phillips curve. Increasing labour market fluidity—i.e., a higher separation and hiring rate—decreases the slope of the Phillips curve. Using micro-data, we find that in the European Monetary Union non-routine jobs are more fluid. We conclude that job polarisation flattened the Phillips curve.

Impacts of bamboo dominance and die‐off on seedling dynamics in a tropical secondary forest (Brazil)

AbstractAulonemia aristulata is a tropical bamboo species of mixed rhizome type and monocarpic flowering that can become super‐dominant after anthropogenic disturbances in tropical forests. The synchronized reproductive events of flowering and die‐off of monocarpic bamboo systems provide a rare opportunity to evaluate the temporal effects of bamboo dominance on forest regeneration. To evaluate the effects of bamboo dominance on forest regeneration, we compared the structure (abundance, richness, composition) and dynamics (mortality, recruitment, survival and growth) of tree and shrub seedling communities from two non‐contiguous forests stands (bamboo‐dominated vs. non‐dominated sites) for 2 years, before and after a synchronized reproductive event. Bamboo dominated plots had higher abundance, floristic richness and recruitment of tree and shrub seedlings when compared with bamboo non‐dominated plots. Bamboo die‐off did not represent an opportunity to improve establishment and investment in the vertical growth (height) of seedlings in bamboo‐dominated plots. We postulate that the mode of rhizome extension seen in bamboos might be a consistent trait determining the spatial pattern of occupation and population structure and thereby playing a fundamental role in the pattern of native tree community establishment after bamboo die‐off. The formulation of a management approach is necessary in order to better understand the biological traits of bamboo species and their influence on the spatial pattern of occupation and population structure. Additionally, this influence may differently impact restoration and definition of management practices, including the need for direct intervention by manually controlling bamboo cover following die‐off to promote and maintain seedling establishment and diversity.

Impact of Return Migration on the Employment Structure of Non-Migrants: Evidence from Rural China

Research on the impact of returnees on rural economic development in China is scarce with the increasing number of migrant workers returning to the countryside from Chinese cities. Data from China Labor-force Dynamic Survey (CLDS) of 2014 and 2016 are used in this paper, attempting to discuss this issue from the perspective of the impact of returnees on the employment of the non-migrant labor force based on occupational skill structure. It is found that the higher the proportion of returnees at the county level is, the more non-migrants will shift to non-agricultural areas after controlling for the exogenous factors of returning reason. Stayers are more likely to work in the medium-skilled secondary industry and construction and escape away from the low-skilled service sector. Off-farm job opportunity and peer effect may be two main channels of returnees to influence job structure of non-migrants. This paper provides empirical evidence on the contribution of Chinese returnees to non-agricultural economic development in rural areas.

Genetic footprints of Quaternary climatic fluctuations on the endangered Tuco-tuco-das-dunas (Ctenomys flamarioni)

Abstract The biogeographic history of a species results from responses to past and current processes, and understanding those responses at both temporal scales is essential. We explored phylogeographic and current genetic variation structure in Ctenomys flamarioni—a subterranean rodent that inhabits a small region of the coastal plain of Brazil—and contrasted the roles of “present-day niche suitability” versus “historical climate stability” to understand current and past intraspecific genetic diversity. We used both mitochondrial DNA sequences (concatenated Cytb and D-loop, n = 78) and nuclear DNA (9 microsatellites loci, n = 154) molecular markers for individuals across the entire distribution of the species. We used phylogeographic trees, Bayesian clustering, and haplotype networks to explore genetic variation and diversity. We correlated genetic diversity with measures of current niche suitability and potential areas of Late Quaternary paleostability. Phylogeographic patterns confirmed low levels of genetic diversity structured at different hierarchical levels. We also found a weak but significant pattern of isolation by distance, indicating that geographical distance partially modulates genetic differences among populations. We also observed a positive correlation between genetic diversity and climate paleostability for microsatellites at local and regional scales. However, we found no significant association between genetic diversity and niche suitability for microsatellites at local or regional scales. We observed several signatures of bottleneck and population expansion at different geographic scales. Our results suggest that Quaternary climatic fluctuations—acting together with habitat suitability and other contemporary factors—played a fundamental role in elucidating the evolutionary history of the species—including patterns of historical dispersal, and current patterns of habitat occupation and genetic structure. In addition, based on our molecular and environmental data sets from the across the range of the species and considering the restricted endemism of C. flamarioni, we emphasize the urgency of conservation actions to protect this endangered species.

Gender occupational intensity and wages in the Northern Triangle of Central America

PurposeThis paper aims to explore the relationship between gender occupational intensity and wages in the Northern Triangle of Central America using national surveys carried out in 2014.Design/methodology/approachA harmonized occupational classification at the -digit level is built with the objective of analyzing the occupational distribution across countries. Then, quantile regressions (QRs) are estimated to explore in detail which factors are affecting the wages of both females and males; in particular, this paper pays special attention to female occupational intensity (the share of females within each occupation).FindingsThe comparative analysis suggests that women are overrepresented in certain occupations, and they are much more likely to be working in part-time jobs than men in all countries. Furthermore, findings reveal that working in female-dominated occupations has a negative effect on wages along the distribution across countries. However, the effect of this variable is higher at the lower quantile of the distribution for women, especially in El Salvador and Honduras.Originality/valueThis paper first proposes a new typology of occupations, which allows a consistent and comparable analysis of the occupational structure. The results then provide a picture to address gender occupational intensity and its links with wages. Further, the characteristics of the labor market and differences in trends across these countries suggest that this topic requires challenging research for the region.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-03-2021-0165

Features of the occupational prevalence in health workers in the Republic of Bashkortostan over 2017–2022

Introduction. The labour of health workers (HW) is associated with the impact of adverse factors of various nature including chemical, physical, biological, high neuro-emotional stress, physical activity. All these factors, high workload, round-the-clock working with night shifts, unpredictability of the state of health and responsibility for the life of the patient, high olccupational activity, constant psycho-emotional and intellectual stress make the labour of HW to be a complex and responsible type of human activity. Over recent (2020–2021) years, due to the emergence of a highly contagious Covid-19 viral infection, health workers have been in direct contact with patients.&#x0D; Objective. To determine the features of occupational morbidity among the HR in the Republic of Bashkortostan over 2017–2022 including the COVID-19 pandemic.&#x0D; Materials and methods. Data on occupational diseases in HW over 2017–2022 were studied on the base of the materials of the Republican Center for Occupational Pathology of the Ufa Scientific Research Institute of Occupational Medicine and Human Ecology. There were evaluated reports of the final diagnosis of an occupational disease, acts of investigation of occupational diseases, sanitary and hygienic characteristics of working conditions, a consolidated annual report on the activities of the Center.&#x0D; Results. The level of occupational morbidity increased from 0.6‱ in 2017 to 5,6‱ during 2021, i.e. increased by 9.3 times. The nosological, gender, age, occupational and experience structure of morbidity has changed. In 88.8% of cases, the diagnosis of an acute occupational disease due to coronavirus infection was established posthumously: in 2020 – 100%, in 2021 – 86.3%. There were 0.72 deaths from this infection per 1,000 health workers.&#x0D; Conclusions. To preserve the health and occupational longevity of HW, especially in the context of an epidemiological rise in infectious diseases, it is necessary to strengthen priority measures for primary and secondary prevention, provide personal protective equipment, strengthen disinfection measures, establish a special regime of work and rest, and other preventive and social protection measures.

Impacts of Rural Transformation on Occupational Structure and Earnings of the Migrants in Madurai District

Rural transformation has the potential to significantly impact the occupational structure and earnings of migrants. This study aims to examine the impact of rural transformation on occupational structure and earnings of migrants in Melur and T.Kallupatti taluks of Madurai district, Tamil Nadu, India. The study employs a mixed-methods approach, combining quantitative and qualitative data analysis techniques. Primary data is collected through household surveys and in-depth interviews with migrants, while secondary data is obtained from government records, census reports, and academic publications. The study finds that rural transformation has led to a shift in the occupational structure of migrants, with a decline in agricultural occupations and an increase in non-farm employment opportunities. Earnings of migrants have also increased as a result of rural transformation. The study concludes that rural transformation can have a positive impact on the occupational structure and earnings of migrants.