{"title":"Beyond the fields: tracing India’s labour transition from agriculture to non-agricultural sectors","authors":"Pushpendra Singh, Falguni Pattanaik","doi":"10.1108/ijse-11-2023-0904","DOIUrl":null,"url":null,"abstract":"<h3>Purpose</h3>\n<p>Since the post-liberalization era, a noticeable structural change and transition in employment have unfolded within the Indian economy. Hence, the purpose of this paper is to understand employment transition and elucidate the evolving dynamics of rural economies and employment patterns from agriculture to more productive non-agricultural sectors. Additionally, the study investigates the underlying causes of socioeconomic disparities and their repercussions on employment trends.</p><!--/ Abstract__block -->\n<h3>Design/methodology/approach</h3>\n<p>To address the aforementioned issues, this study utilised secondary data from labour surveys conducted by the National Sample Survey Organisation spanning from 2004–05 to 2023. Initially, the study computed the magnitude of employment in both agriculture and non-agriculture sectors. Subsequently, the distribution of non-agricultural labour across various socioeconomic characteristics was estimated. Furthermore, a logistic regression model was employed to evaluate the impact of socioeconomic factors on employment choices. Finally, Fairlie’s decomposition model was applied to elucidate workers’ decisions to engage in non-agricultural sectors.</p><!--/ Abstract__block -->\n<h3>Findings</h3>\n<p>The study reveals a significant rise in rural non-agricultural employment, from 98.4 m in 2004–05 to 193.3 m in 2023, indicating changing job preferences. Notably, the construction and trade sectors emerge as significant drivers of this trend. However, self-employment and casual labour persist, highlighting job vulnerability. Additionally, women and marginalised individuals with low levels of education and socioeconomic status lag behind in non-agricultural employment.</p><!--/ Abstract__block -->\n<h3>Originality/value</h3>\n<p>This study makes a significant contribution by offering a thorough analysis of the employment transition from agriculture to non-agriculture over a span of two decades. It provides valuable insights into the evolving dynamics of employment trends.</p><!--/ Abstract__block -->\n<h3>Peer review</h3>\n<p>The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-11-2023-0904.</p><!--/ Abstract__block -->","PeriodicalId":47714,"journal":{"name":"INTERNATIONAL JOURNAL OF SOCIAL ECONOMICS","volume":"42 1","pages":""},"PeriodicalIF":1.9000,"publicationDate":"2024-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"INTERNATIONAL JOURNAL OF SOCIAL ECONOMICS","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/ijse-11-2023-0904","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
Abstract
Purpose
Since the post-liberalization era, a noticeable structural change and transition in employment have unfolded within the Indian economy. Hence, the purpose of this paper is to understand employment transition and elucidate the evolving dynamics of rural economies and employment patterns from agriculture to more productive non-agricultural sectors. Additionally, the study investigates the underlying causes of socioeconomic disparities and their repercussions on employment trends.
Design/methodology/approach
To address the aforementioned issues, this study utilised secondary data from labour surveys conducted by the National Sample Survey Organisation spanning from 2004–05 to 2023. Initially, the study computed the magnitude of employment in both agriculture and non-agriculture sectors. Subsequently, the distribution of non-agricultural labour across various socioeconomic characteristics was estimated. Furthermore, a logistic regression model was employed to evaluate the impact of socioeconomic factors on employment choices. Finally, Fairlie’s decomposition model was applied to elucidate workers’ decisions to engage in non-agricultural sectors.
Findings
The study reveals a significant rise in rural non-agricultural employment, from 98.4 m in 2004–05 to 193.3 m in 2023, indicating changing job preferences. Notably, the construction and trade sectors emerge as significant drivers of this trend. However, self-employment and casual labour persist, highlighting job vulnerability. Additionally, women and marginalised individuals with low levels of education and socioeconomic status lag behind in non-agricultural employment.
Originality/value
This study makes a significant contribution by offering a thorough analysis of the employment transition from agriculture to non-agriculture over a span of two decades. It provides valuable insights into the evolving dynamics of employment trends.
Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-11-2023-0904.
期刊介绍:
The International Journal of Social Economics publishes original and peer-reviewed theoretical and empirical research in the field of social economics. Its focus is on the examination and analysis of the interaction between economic activity, individuals and communities. Social economics focuses on the relationship between social action and economies, and examines how social and ethical norms influence the behaviour of economic agents. It is inescapably normative and focuses on needs, rather than wants or preferences, and considers the wellbeing of individuals in communities: it accepts the possibility of a common good rather than conceiving of communities as merely aggregates of individual preferences and the problems of economics as coordinating those preferences. Therefore, contributions are invited which analyse and discuss well-being, welfare, the nature of the good society, governance and social policy, social and economic justice, social and individual economic motivation, and the associated normative and ethical implications of these as they express themselves in, for example, issues concerning the environment, labour and work, education, the role of families and women, inequality and poverty, health and human development.