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Employment After Crisis

Paper Session

Friday, Jan. 5, 2024 8:00 AM - 10:00 AM (CST)

Marriott Riverwalk, Valero
Hosted By: Association for Social Economics & International Association for Feminist Economics
  • Chair: Anna Klimina, University of Saskatchewan

Adding Insult to Injury in Ukraine’s Labour Market: The Dangers of IMF/World Bank Liberal Plan for Ukraine’s Post-War Recovery and the Promise of Social Economy Alternatives

Anna Klimina
,
University of Saskatchewan

Abstract

This paper discusses burgeoning crisis in Ukraine’s labour market, defined by steady decline of standard employment relations, heightened levels of social and economic precarity, and rise in labour migration; elucidates dangers of proposed IMF/WB plans for Ukraine’s post-war economic recovery; and argues that social economy provides more helpful perspective for economic development in Ukraine. This study explains that precariousness in Ukraine’s employment has been well-manifested since the early 1990s due to the neoliberal transition reforms. Subsequently, between 1992 and 2019, the economic migration from Ukraine has annually averaged at 12 percent of the population aged 15–70 (UNICEF). In 2021, Ukraine was considered the poorest country in Europe (World Bank). Russia’s war of aggression against Ukraine has only worsened Ukraine’s poverty and exacerbated the precarity in employment and social life. Due to the war, Ukraine’s finances have been completely destroyed, but international financial donors—IMF and World Bank—have attached extreme structural conditionality to loan agreements with Ukraine—demanding wide-ranging free-market reforms, including – most problematically -- a rapid transition to a globally-integrated neoliberal model of cheap ununionized labour. In August 2022 Ukraine’s government unanimously approved Labor Law, allowing labour flexibilization and permitting zero-hour contracts—measures that result in further acceleration of labour precarity.
It is argued that perspectives of social economy, emphasizing progressive reshaping of economic evolution through ameliorative economic policies, provide more hopeful outlook for Ukraine’s recovery, in which the common good will be fruitfully pursued, social justice created, participatory processes throughout the economy nurtured, and economic democracy enhanced.

Demographic Representation of Workers in Jobs at High and Low Risk of Automation

Kristen Broady
,
Federal Reserve Bank of Chicago
Anthony Barr
,
National Bankers Association
Darlene Booth-Bell
,
Coastal Carolina University
Lucas Cain
,
Federal Reserve Bank of Chicago

Abstract

Even before the Covid-19 pandemic, automation was altering how both specialized and non-specialized tasks were completed and decreasing or eliminating the necessity of human workers in some occupations. Our research shows preliminary evidence that the pandemic accelerated trends in automation as employers sought to save on labor costs amid widespread illness, increased labor organizing and worker leverage, and continued market pressure to onshore jobs to combat international supply chain issues. The acceleration in automation and worker displacement is likely to exacerbate preexisting racial and gender inequities. We find that Black and Hispanic workers continue to be overrepresented in jobs at higher risk of automation, while Asian workers are overrepresented in jobs at lower risk of automation. Our analysis shows that jobs at lower risk of automation pay significantly higher wages than jobs at higher risk of automation. Hence, we include a discussion of the potential impact of automation on the wages of workers by race and provide policy solutions to prepare all workers for the possibility of job displacement or elimination.

The Transition from Cotton to Horticulture: Effects on the Role of Rural Women in Uzbek Agriculture

Suray Charyyeva
,
Leibniz Institute of Agricultural Development in Transition Economies
Thomas Herzfeld
,
Leibniz Institute of Agricultural Development in Transition Economies

Abstract

In developing countries, diversifying crop production improves household nutrition, creates substantial employment possibilities in rural areas, especially for women occupying a dominant place in most production and processing areas, and promotes sustainable agriculture. In Uzbekistan, the transition from cotton monoculture to horticultural crops is taking place in individual farms but only to a limited extent. Therefore, this study explores the impact of the transition to horticultural crops on the possible empowerment of rural women in Uzbekistan. We compare the opportunities of rural women in two different agricultural systems practised in Uzbekistan, cotton and non-cotton, and between two different status groups, farmers and seasonal workers. The three dimensions of women's empowerment proposed by Kabeer (1999) form the conceptual underpinning of this analysis. In-depth interviews in four districts of Uzbekistan were conducted between September and December 2021. Using a qualitative perspective, our results show several positive effects of a more liberal commodity policy for farmers. In particular, seasonal workers in the non-cotton district have more considerable labour and can be economically active for a more extended period during the year.

Underrepresentation of Minorities and Women in Economics: PhD Field Specializations and Their Determinants

Karan Singhal
,
University of Luxembourg and Luxembourg Institute of Socioeconomic Research
Eva Sierminska
,
Luxembourg Institute of Socio-Economic Research

Abstract

The presence of a gender and underrepresented minority scholar (URM) gap in economics is concerning, given the field's pervasive influence in academia and policy. However, understanding disparities within economics sub-fields based on ethnicity/URMs has been challenging, resulting in limited research in this area. Recent studies show that women are underrepresented in published work, dissertations, and conferences, and tend to specialize in only a few sub-fields. The composition of gender and ethnicity within sub-fields may also affect research preferences and viewpoints, as male and female economists have different perspectives on important issues. Additionally, ethnicity may influence field choice due to differences in social norms and environments. To address this issue, the study uses a data framework developed by Sierminska and Oaxaca in 2021 and 2022, which includes over 9000 PhD Economics graduates from US universities (2008-18) and determines field specializations using Journal of Economic Literature (JEL) codes and topic modelling, an unsupervised machine learning technique. Ethnicity information is gathered through name-matching algorithms and genealogy databases. The study aims to explore the decision-making process of PhD students and determine the role of demographic factors and environmental/personal characteristics that affect field choice among specific groups. The study employs multinomial/conditional logit models to model field choice and uses a fixed effects approach to account for variations within gender and ethnicity on factors such as university rankings, graduation year, and supervisor characteristics. This study sheds light on the status of underrepresented scholars in sub-fields of economics based on their ethnicity and gender, with the aim of increasing their representation in Economics and STEM disciplines. The results of this study could provide insights into ways of improving diversity in the field and bridging the gender and URM gap in economics.
JEL Classifications
  • B5 - Current Heterodox Approaches
  • J3 - Wages, Compensation, and Labor Costs