Research Topics

Analyzing the Tax Buoyancy of the Extractive Sector

Against the backdrop of fiscal transition concomitant to energy transition policies with climate change commitments, revenue from the extractive sector needs a recalibration in the subnational fiscal space. Extractive tax is the payment due to the government in exchange for the right to extract the mineral substance. Extractive tax has been fixed and paid in multiple tax regimes, sometimes on the measures of ad valorem (value-based) or profits or as the unit of the mineral extracted. Using the ARDL methodology, this paper analyzes the buoyancy of extractive revenue across the states in India, for the period 1991–92 to 2022–23 and analyzes the short- and long-run coefficients and their speed of adjustment. There are no identified structural breaks in the series predominantly because of the homogenous extractive policy regime shift to ad valorem from a unit-based regime. Our findings revealed that extractive tax is a buoyant source of own revenue, though there are distinct state-specific differentials. The policy implication of our study is crucial for a “just transition” related to climate change commitments where extractive industries’ tax buoyancy is compared to other tax buoyancy across Indian states, and can be used as the base scenario to estimate the loss of revenue when fiscal transition sets in with “just transition” policies.

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.

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.

Evidence From an Emerging Country, India

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.

The Unit of Account, Inflation, Leverage, and Financial Fragility

We hope to model financial fragility and money in a way that captures much of what is crucial in Hyman Minsky’s financial fragility hypothesis. This approach to modeling Minsky may be unique in the formal Minskyan literature. Namely, we adopt a model in which a psychological variable we call financial prudence (P) declines over time following a financial crash, driving a cyclical buildup of leverage in household balance sheets. High leverage or a low safe-asset ratio in turn induces high financial fragility (FF). In turn, the pathways of FF and capacity utilization (u) determine the probabilistic risk of a crash in any time interval. When they occur, these crashes entail discrete downward jumps in stock prices and financial sector assets and liabilities. To the endogenous government liabilities in Hannsgen (2014), we add common stock and bank loans and deposits. In two alternative versions of the wage-price module in the model (wage–Phillips curve and chartalist, respectively), the rate of wage inflation depends on either unemployment or the wage-setting policies of the government sector. At any given time t, goods prices also depend on endogenous markup and labor productivity variables. Goods inflation affects aggregate demand through its impact on the value of assets and debts. Bank rates depend on an endogenous markup of their own. Furthermore, in light of the limited carbon budget of humankind over a 50-year horizon, goods production in this model consumes fossil fuels and generates greenhouse gases.

The government produces at a rate given by a reaction function that pulls government activity toward levels prescribed by a fiscal policy rule. Subcategories of government spending affect the pace of technical progress and prudence in lending practices. The intended ultimate purpose of the model is to examine the effects of fiscal policy reaction functions, including one with dual unemployment rate and public production targets, testing their effects on numerically computed solution pathways. Analytical results in the penultimate section show that (1) the model has no equilibrium (steady state) for reasons related to Minsky’s argument that modern capitalist economies possess a property that he called “the instability of stability,” and (2) solution pathways exist and are unique, given vectors of initial conditions and parameter values and realizations of the Poisson model of financial crises.