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

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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.1031 09 October 2023

  A Stock-Flow Ecological Model from a Latin American Perspective

  Esteban Pérez-Caldentey, José Eduardo Alatorre, Lorenzo Nalin, Giuliano Toshiro Yajima and Leonardo Rojas Rodriguez
  Abstract

  This study aims to develop an ecological stock-flow consistent (SFC) model based on the Latin American–stylized facts regarding economic, financial, and environmental features. We combine the macro-financial theoretical framework by Pérez-Caldentey et al. (2021, 2023) and the ecological modeling of Carnevali et al. (2020) and Dafermos et al. (2018). We discuss two scenarios that test exogenous climate-related shocks. The first scenario presents the case in which international regulation on commodity trade becomes more stringent due to environmental concerns, thus worsening the balance-of-payment constraint of the region. The second scenario concerns the increase in frequency and intensity of adverse climate events in the region. Both scenarios show that the financial external constraint that determines the growth path of Latin American economies may be further exacerbated due to environmental-related issues.

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• Working Paper No.1023 14 July 2023

  Climate Change and Fiscal Marksmanship

  Balamuraly B, Lekha S. Chakraborty, Amandeep Kaur and Ajay Narayan Jha
  Abstract

  According to the theory of efficient markets, economic agents use all available information to form rational expectations. The rational expectations hypothesis asserts that information is scarce, the economic system generally does not waste information, and that expectations depend specifically on the structure of the entire system. Fiscal marksmanship—the accuracy of budgetary forecasting—can be one important piece of such information that rational agents must consider in forming expectations. Against the backdrop of fiscal rules, our paper explores the budgetary forecast errors of climate change–related public spending in India. The fiscal rules stipulate that fiscal deficit–to–GDP ratio should be maintained at 3 percent. However, in the post-COVID fiscal strategy, a medium-term fiscal consolidation path of 4.5 percent fiscal deficit–to­–GDP is envisioned by 2025–26. Within this fiscal consolidation framework, we analyzed the budget credibility of fiscal commitments for climate change in India. We analyzed the fiscal behavioral variables in terms of bias, variation, and randomness, and captured the systemic variations in budgetary forecast related to climate change for a period 2017–18 to 2020–21 across sectors. We identified the sectors where systematic components of forecasting errors are relatively higher than random components, where minimizing errors through altering the fiscal behavioral models is done by revising the assumptions and by applying better forecasting methods. A state-level decomposition of the public spending revealed that disaggregated fiscal space available for developmental spending constitutes around 60 percent of the total. However, identifying the specifically targeted public spending related to climate change across all states and analyzing its fiscal markmanship can further the subnational inferences.

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