Modeling Growth, Distribution, and the Environment in a Stock-Flow Consistent Framework. Policy Paper no 18

Economic policy in the EU faces a trilemma of solving three challenges simultaneously - growth, distribution, and the environment. In order to assess policies that address these issues simultaneously, economic models need to account for both sector-sector and sector-environment feedbacks within a single framework.This paper presents a multi-sectoral stock-flow consistent (SFC) macro model where a demand-driven economy consisting of multiple institutional sectors - firms, energy, households, government, and financial - interacts with the environment. The model is calibrated for the EU region and five policy scenarios are evaluated; low consumption, a capital stock damage function, carbon taxes, higher share of renewable energy, and technological shocks to productivity. Policy outcomes are tracked on overall output, unemployment, income and income distributions, energy, and emission levels. Results show that investment in mitigation technologies allows for absolute decoupling and ensures that the above three issues can be solved simultaneously.Series: WWWforEurop

Reflecting Disaster Risk in Development Indicators

Disasters triggered by hazards, such as floods, earthquakes, droughts, and cyclones, pose significant impediments to sustainable development efforts in the most vulnerable and exposed countries. Mainstreaming disaster risk is hence seen as an important global agenda as reflected in the Sustainable Development Goals (SDGs) and the Sendai Framework for Disaster Risk Reduction (SFDRR) 2015-2030. Yet, conventional development indicators remain largely negligent of the potential setbacks that may be posed by disaster risk. This article discusses the need to reflect disaster risk in development indicators and proposes a concept disaster risk-adjusted human development index (RHDI) as an example. Globally available national-level datasets of disaster risk to public and private assets (including health, educational facilities, and private housing) is combined with an estimate of expenditure on health, education, and capital formation to construct an RHDI. The RHDI is then analyzed across various regions and HDI groups, and contrasted with other HDI variants including inequality-adjusted HDI (IHDI) and the gender-specific female HDI (FHDI) to identify groups of countries where transformational disaster risk reduction (DRR) approaches may be necessary

Family Business Groups and Tunneling Framework : Application and Evidence from Pakistan

In Pakistan there is a ubiquity of firms in which there exists a controlling shareholder, usually in the form of the family. By and large this control is maintained via crossshareholding and inter-locked directorships which in turn is facilitated by the pyramidal organization of these firms. Moreover, these controlling families have often been alleged of tunneling resources from firms in which they have few cash flow rights to ones in which they have more cash flow rights. This paper attempts to quantify the extent of tunneling prevalent in Pakistani family business groups. The framework that is adopted is one that has been presented by Mullainathan et al. (2000) : we use the responses of different firms to performance shocks and map out the flow of resources within a group of firms to quantify the extent to which the marginal rupee is tunneled. We apply this technique to data on Pakistan business groups.Pakistan, tunneling, business groups, crossshareholding

Modeling Growth, Distribution, and the Environment in a Stock-Flow Consistent Framework

Economic policy in the EU faces a trilemma of solving three challenges simultaneously - growth, distribution, and the environment. In order to assess policies that address these issues simultaneously, economic models need to account for both sector-sector and sector-environment feedbacks within a single framework.This paper presents a multi-sectoral stock-flow consistent (SFC) macro model where a demand-driven economy consisting of multiple institutional sectors - firms, energy, households, government, and financial - interacts with the environment. The model is calibrated for the EU region and five policy scenarios are evaluated; low consumption, a capital stock damage function, carbon taxes, higher share of renewable energy, and technological shocks to productivity. Policy outcomes are tracked on overall output, unemployment, income and income distributions, energy, and emission levels. Results show that investment in mitigation technologies allows for absolute decoupling and ensures that the above three issues can be solved simultaneously. (author's abstract)Series: Ecological Economic Paper

Natural Disasters, Cascading Losses, and Economic Complexity: A Multi-layer Behavioral Network Approach

Assessing the short-term socio-economic impacts of climate-led disasters on food trade networks requires new bottom-up models and vulnerability metrics rooted in complexity theory. Indeed, such shocks could generate cascading socio-economic losses across the networks layers where emerging agents¿ responses could trigger tipping points. We contribute to address this research gap by developing a multi-layer behavioral network methodology composed of multiple spatially-explicit layers populated by heterogeneous interacting agents. Then, by introducing a new multi-layer risk measure called vulnerability rank, or VRank, we quantify the stress in the aftermath of a shock. Our approach allows us to analyze both the supply- and the demand-side dimensions of the shock by quantifying short-term behavioral responses, the transmission channels across the layers, the conditions for reaching tipping points, and the feedback on macroeconomic indicators. By simulating a stylized two-layer supply-side production and demand-side household network model we find that, (i) socio-economic vulnerability to climate-led disasters is cyclical, (ii) the distribution of shocks depends critically on the network structure, and on the speed of supply-side and demand-side responses. Our results suggest that such a multi-layer framework could provide a comprehensive picture of how climate-led shocks cascade and how indirect losses can be measured. This is crucial to inform effective post-disaster policies aimed to build food trade network resilience to climate-led shocks, in particular in more agriculture-dependent bread-basket regions.Series: Ecological Economic Paper

Directed Technological Change in a post-Keynesian Ecological Macromodel

This paper presents a post-Keynesian ecological macro model that combines three strands of literature: the directed technological change mechanism developed in mainstream endogenous growth theory models, the ecological economic literature which highlights the role of green innovation and material flows, and the post-Keynesian school which provides a framework to deal with the demand side of the economy, financial flows, and inter- and intra-sectoral behavioral interactions. The model is stock-flow consistent and introduces research and development (R&D) as a component of GDP funded by private firm investment and public expenditure. The economy uses three complimentary inputs - Labor, Capital, and (non-renewable) Resources. Input productivities depend on R&D expenditures, which are determined by relative changes in their respective prices. Two policy experiments are tested; a Resource tax increase, and an increase in the share of public R&D on Resources. Model results show that policy instruments that are continually increased over a long-time horizon have better chances of achieving a "green" transition than one-of climate policy shocks to the system, that primarily have a short-run affect.Series: Ecological Economic Paper

Climate Transition Risk, Climate Sentiments, and Financial Stability in a Stock-Flow Consistent approach

It is increasingly recognized that banks might not be pricing adequately climate risks in the value of their loans contracts. This represents a barrier to scale up the green investments needed to align the economy to sustainability and to preserve financial stability. To overcome this barrier, climate-aligned policies, such as a revision of the microprudential banking framework (for example a Green Supporting Factor (GSF)), and the introduction of stable green fiscal policies (for example a Carbon Tax (CT )), have been advocated. However, understanding the conditions under which a GSF or a CT could represent an opportunity for scaling up green investments, while preventing trade-offs on risk for financial stability, is still insufficient. We contribute to fill this knowledge gap threefold. First, we analyse the risk transmission channels from climate-aligned policies, a GSF and a CT, to the credit market and the real economy via loans contracts. Second, we assess the reinforcing feedbacks leading to cascading macro-financial shocks. Third, we consider how banks could react to the policies, i.e., their climate sentiments. In this regard, we embed for the first- time banks climate sentiments, modelled as a non-linear adaptive forecasting function into a Stock-Flow Consistent model that represents agents and sectors of the real economy and the credit market as a network of interconnected balance sheets. Our results suggest that the GSF is not sufficient to effectively scale up green investments via a change in lending conditions to green firms. In contrast, the CT could shift the bank's loans and the green/brown firms' investments towards the green sector. Nevertheless, it could imply short-term negative transition effects on GDP growth and financial stability, according to how the policy is implemented. Finally, our results show that bank's anticipation of a climate-aligned policy, through stronger climate sentiments, could smooth the risk for financial stability and foster green investments. Thus, our results contribute to understand the conditions for the onset and the mitigation of climate-related financial risks and opportunities.Series: Ecological Economic Paper

Directed technological change in a post-keynesian ecological macromodel

This paper presents a post-Keynesian ecological macromodel, which is stock-flow consistent, and incorporates directed technological change. Private and public R&D spending across three competing, yet complementary inputs – Labor, Capital, and Resources – follow a portfolio allocation decision, where inputs with relatively higher growth in costs, see higher R&D investment and productivity gains. Two policy experiments are reported; a market-based Resource tax increase, and a centralized green policy, where public R&D budget is shifted towards Resource-saving technologies. We highlight that in the presence of labor market institutions, which give rise to hysteresis, and limited R&D budgets, a policy of continuous Resource tax growth is needed to induce Resource-saving technological change to achieve a greener economy. This needs to be coupled with planned government spending adjustment to spur demand and boost investment. The findings also suggest that a mix of market-based and centralized policies may be optimal

Towards a Stock-Flow Consistent Ecological Macroeconomics. Work Package 205, MS40 "Report on model results including additional policies to counter averse effects"

Modern western economies (in the Eurozone and elsewhere) face a number of challenges over the coming decades. Achieving full employment, meeting climate change and other key environmental targets, and reducing inequality rank amongst the highest of these. The conventional route to achieving these goals has been to pursue economic growth. But this route has created two critical problems for modern economies. The first is that higher growth leads (ceteris parabis) to higher environmental impact. The second is that fragility in financial balances has accompanied relentless demand expansion. The prevailing global response to the first problem has been to encourage a decoupling of output from impacts by investing in green technologies (green growth). But this response runs the risk of exacerbating problems associated with the over-leveraging of households, firms and governments and places undue confidence in unproven and imagined technologies. An alternative approach is to reduce the pace of growth and to restructure economies around green services (post-growth). But the potential dangers of declining growth rates lie in increased inequality and in rising unemployment. Some more fundamental arguments have also been made against the feasibility of interest-bearing debt within a post-growth economy. The work described in this paper was motivated by the need to address these fundamental dilemmas and to inform the debate that has emerged in recent years about the relative merits of green growth and post-growth scenarios. In pursuit of this aim we have developed a suite of macroeconomic models based on the methodology of Post-Keynesian Stock Flow Consistent (SFC) system dynamics. Taken together these models represent the first steps in constructing a new macroeconomic synthesis capable of exploring the economic and financial dimensions of an economy confronting resource or environmental constraints. Such an ecological macroeconomics includes an account of basic macroeconomic variables such as the GDP, consumption, investment, saving, public spending, employment, and productivity. It also accounts for the performance of the economy in terms of financial balances, net lending positions, money supply, distributional equity and financial stability. This report illustrates the utility of this new approach through a number of specific analyses and scenario explorations. These include an assessment of the Piketty hypothesis (that slow growth increases inequality), an analysis of the "growth imperative" hypothesis (that interest bearing debt requires economic growth for stability), and an analysis of the financial and monetary implications of green investment policies. The work also assesses the scope for fiscal policy to improve social and environmental outcomes.Series: WWWforEurop

The risk and consequences of multiple breadbasket failures: an integrated copula and multilayer agent-based modeling approach

Climate shocks to food systems have been thoroughly researched in terms of food security and supply chain management. However, sparse research exists on the dependent nature of climate shocks on food-producing breadbasket regions and their subsequent cascading impacts. In this paper, we propose that a copula approach, combined with a multilayer network and an agent-based model, can give important insights on how tail-dependent shocks can impact food systems. We show how such shocks can potentially cascade within a region through the behavioral interactions of various layers. Based on our suggested framework, we set up a model for India and show that risks due to drought events multiply if tail dependencies during extremes drought is explicitly taken into account. We further demonstrate that the risk is exacerbated if displacement also takes place. In order to quantify the spatial–temporal evolution of climate risks, we introduce a new measure of multilayer vulnerability that we term Vulnerability Rank or VRank. We find that with higher food production losses, the number of agents that are affected increases nonlinearly due to cascading effects in different network layers. These effects spread to the unaffected regions via large-scale displacement causing sudden changes in production, employment and consumption decisions. Thus, demand shifts also force supply-side adjustments of food networks in the months following the climate shock. We suggest that our framework can provide a more accurate picture of food security-related systemic risks caused by multiple breadbasket failures which, in turn, can better inform risk management and humanitarian aid strategies