Factors Affecting Farm Succession and Occupational Choices of Nominated Farm Successors in Gilgit-Baltistan, Pakistan

Mountain farming communities in Pakistan are exhibiting an increased rate of rural-to-urban migration and a rapid growth in the non-farm sector, which has threatened the sustenance of agricultural activity. This study examined the determinants of farm succession using a logit regression model and employed a multinomial logit regression model to study the factors influencing the future occupational choices of the potential farm successors. The study was based on quantitative survey data obtained from 421 farm managers and 155 potential farm successors and qualitative data from 12 key informants from two different districts in Gilgit-Baltistan. The survey results show that around 67% of the farmers had a potential successor. Farm succession was mainly explained by farmer characteristics (e.g., farmer age, gender and education), farm characteristics (e.g., farm size, specialization in horticulture, etc.) and agricultural income. Regarding the occupational choices, part-time farming (66%) was the most commonly reported choice. The results indicate that it was mainly farm successors’ personal characteristics (such as age, education and marital status) and agricultural income that led to the choices “undecided” and “exit”, whilst farm characteristics (e.g., farm size) and the main farm operators’ non-farm activity were significantly associated with the choice “part-time”. Policies aimed at improving the local income situation and investments in skill-building and infrastructure development can assist in farm sustenance.

Acting for the Local Community: Hybrid Ethnography in the Careers of Local Culture Animators

This article focuses on the innovative methodology used to collect data. We describe how we have utilized the diary method and what analytical potential it contains. We also flag the limitations we have perceived during the research. At the same time, so as not to refrain entirely from a discussion of the study findings, we recreate selected shared attributes in the careers of culture animators. A hybrid research method was used to report and interpret the reality of our surroundings. This involved the use of a diary in which the animators described facts and events from the previous day while also plotting data concerning their location on the Google map; they enriched their notes with short essays, pictures, and video clips. Then, the animators as subjects in the research took part in one-on-one in-depth interviews to summarize their experience. Deliberations on the utility and innovativeness of these ethnographic methods are accompanied by considerations as to the variety of experience held by culture animators and the factors driving their occupational choices.

The role of age structure and occupational choices in the Indian labour market

PurposeThis study aims to identify the role of age structure in occupational choices and the classification of the occupations based on the age structure of individuals in the Indian labour market.Design/methodology/approachThis study uses the first Periodic Labour Force Survey, 2017–18. The occupational classifications are based on the standardised scores for age groups and their occupations. Further, a multinomial logistic regression model has been used to estimate social and economic factors in determining the age-based occupational classifications.FindingsThe authors found age structure an essential factor in determining occupational choices. Hence, occupations in the Indian labour market have been grouped into seven categories, accordingly. In addition, social and economic factors of individuals and households do have a significant influence on the selection of age-based occupational classifications.Research limitations/implicationsThe study is limited to the occupational classification based on the age structure of individuals without any industry effects. The findings suggest that policymakers must adopt occupation-specific policies considering the age structure of individuals.Originality/valueEarlier studies are limited to the dynamics of age either on the basis of specific age groups (younger or older) or on the industrial classification in a disaggregated way. They also lack a rich approach in analysing the occupational classification considering age structure, especially in the Indian labour market. The study adds value when the role of age structure is identified in occupational choices in the Indian labour market, and hence, a novel classification of occupations into seven categories is proposed.

Occupational choices in art and agriculture – a mixed-method web scraping approach

PurposeEmpirical studies on occupational choice have typically concentrated on a specific sector. The purpose of this study is to compare two sectors wherein there are grounds to hypothesise that lifestyle reasons play a key role for occupational choice.Design/methodology/approachArguing that the potential for qualitative web scraping is still underused, the hypothesis is tested through qualitative web scraping for occupational choices.FindingsIt is shown that incomes for farmers are both documented in a better way and higher than in arts. The central roles played by farmers in the provision of basic needs and in powerful value chains are possible reasons for this difference. As a common factor between the sectors, two-thirds of both farmers and artists choose their profession for reasons of self-realisation or societal motives.Originality/valueThis study is the first to show both common grounds and differences in occupational choices of two different sectors.