A Stock-Flow Ecological Model from a Latin American Perspective

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• Working Paper No.1041 02 February 2024

  Amazon Green Recovery and Labor Market in Brazil

  Luiza Nassif Pires, Gilberto Tadeu Lima, Pedro Romero Marques, Tainari Taioka and José Bergamin
  Abstract

  Announced in June 2021, the never-implemented Green Recovery Plan for the Brazilian Legal Amazon Region (GRP) would be a green transition initiative to be carried out by the state governments of the region. The GRP represented the first large-scale proposal aiming at the transition to a low-carbon economy in Brazil and offered a preliminary framework to evaluate the opportunities and limitations of green development in Global South economies. The GRP’s initial phase would provide an investment of 1.5 billion reais (around $315 million in September 2023) in four areas: control of illegal deforestation, sustainable development, green technology, and green infrastructure. This article presents a counterfactual analysis by assessing the impacts of green spending in Amazon on the labor market, quantitatively—in terms of the number of jobs created—and qualitatively—exploring the distribution of those jobs by region and according to gender and race categories. We build synthetic sectors representing each area of investment in a two-region input-output matrix (“Brazilian Amazon” and “Rest of Brazil”). Using employment multipliers, we simulate a demand shock on the Amazonian economy and its impact on job creation in the two regions. Results suggest that green spending in the Amazon offers good perspectives (but also highlights limitations) for a just transition to a low-carbon economy in Brazil: the effects on employment favored the female workforce (both black and white) relative to the male and black workforce in the Amazon, leading to inequality-reducing composition changes in the Brazilian workforce as whole.

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• Working Paper No.1033 20 November 2023

  The Impact of Climate Change on the Palestinian Sectoral Reallocation of Labor

  Sameh Hallaq and Yousuf Daas
  Abstract

  The research leverages yearly variations in climate variables, such as rainfall and temperature, across the West Bank from 1999 to 2018 to assess their influence on individuals' decisions to stay in the agricultural sector. The main findings suggest that an increase in rainfall in the previous year is associated with a higher proportion of workers in the agricultural sector, especially in regions where agriculture is the primary economic activity. Temperature variation is also an important factor. An increase in the maximum temperature will generally have a negative effect on the supply of labor in the agricultural sector, while an increase in the minimum temperature may have a positive effect. However, this effect varies across different regions of the West Bank, reflecting the diverse agricultural practices and irrigation methods employed. The study also examines two potential mechanisms through which climate change affects labor decisions: agricultural labor migration to the Israeli labor market and how climate shocks affect agricultural wages.

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• Working Paper No.1027 07 August 2023

  Structural Change and Gender Sectoral Segregation in Sub-Saharan Africa

  Izaskun Zuazu
  Abstract

  Structural change has long been at the core of economic development debates. However, the gender implications of structural change are still largely unexplored. This paper helps to fill this gap by analyzing the role of structural change in the gender distribution of sectoral employment in sub-Saharan African countries. I employ aggregate and disaggregate measures of gender sectoral segregation in employment on a panel database consisting of 10 sectors and 11 countries during 1960–2010. Fixed effects and instrumental variables’ regression models show a significant, non-linear link between labor productivity and gender segregation. Increasing labor productivity depresses gender segregation at initial phases of structural change. However, further productivity gains beyond a certain threshold of sectoral development increases gender segregation. Country-industry panel data models complement the analysis by considering relative labor productivity as a determinant of sectoral feminization. The estimates suggest that manufacturing, utilities, construction, business, and government services are key to correcting gender biases in employment along the process of structural change.

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