123 research outputs found
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
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
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
Geometric and harmonic means based priority dispatching rules for single machine scheduling problems
[EN] This work proposes two new prority dispatching rules (PDRs) for solving single machine scheduling problems. These rules are based on the geometric mean (GM) and harmonic mean (HM) of the processing time (PT) and the due date (DD) and they are referred to as GMPD and HMPD respectively. Performance of the proposed PDRs is evaluated on the basis of five measures/criteria i.e. Total Flow Time (TFT), Total Lateness (TL), Number of Late Jobs (TNL), Total Earliness (TE) and Number of Early Parts (TNE). It is found that GMPD performs better than other PDRs in achieving optimal values of multiple performance measures. Further, effect of variation in the weight assigned to PT and DD on the combined performance of TFT and TL is also examined which reveals that for deriving optimal values of TFT and TL, weighted harmonic mean (WHMPD) rule with a weight of 0.105 outperforms other PDRs. The weighted geometric mean (WGMPD) rule with a weight of 0.37 is found to be the next after WHMPD followed by the weighted PDT i.e. WPDT rule with a weight of 0.76.Ahmad, S.; Khan, ZA.; Ali, M.; Asjad, M. (2021). Geometric and harmonic means based priority dispatching rules for single machine scheduling problems. International Journal of Production Management and Engineering. 9(2):93-102. https://doi.org/10.4995/ijpme.2021.15217OJS9310292Baharom, M. Z., Nazdah, W., &Hussin, W. (2015). Scheduling Analysis for Job Sequencing in Veneer Lamination Line. Journal of Industrial and Intelligent Information, 3(3). https://doi.org/10.12720/jiii.3.3.181-185Chan, F. T. S., Chan, H. K., Lau, H. C. W., & Ip, R. W. L. (2003). Analysis of dynamic dispatching rules for a flexible manufacturing system. Journal of Materials Processing Technology, 138(1), 325-331. https://doi.org/10.1016/S0924-0136(03)00093-1Cheng, T. C. E., &Kahlbacher, H. G. (1993). 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Planning and Scheduling in Manufacturing and Services (2nd ed.). Springer-Verlag. https://doi.org/10.1007/978-1-4419-0910-7Prakash, A., Chan, F. T. S., & Deshmukh, S. G. (2011). FMS scheduling with knowledge based genetic algorithm approach. Expert Systems with Applications, 38(4), 3161-3171. https://doi.org/10.1016/j.eswa.2010.09.002Rafsanjani, M. K., &Bardsiri, A. K. (2012). A New Heuristic Approach for Scheduling Independent Tasks on Heterogeneous Computing Systems. International Journal of Machine Learning and Computing, 371-376. https://doi.org/10.7763/IJMLC.2012.V2.147Tyagi, N., Tripathi, R. P., &Chandramouli, A. B. (2016). Single Machine Scheduling Model with Total Tardiness Problem. Indian Journal of Science and Technology, 9(37). https://doi.org/10.17485/ijst/2016/v9i37/97527Vinod, V., & Sridharan, R. (2008). Dynamic job-shop scheduling with sequence-dependent setup times: Simulation modeling and analysis. 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Irreversibility in an optical parametric driven optomechanical system
We investigate the role of nonlinearity via optical parametric oscillator on
the entropy production rate and quantum correlations in a hybrid optomechanical
system. Specifically, we derive the modified entropy production rate of an
optical parametric oscillator placed in the optomechanical cavity which is well
described by the two-mode Gaussian state. We find a dramatic deviation in the
irreversibility and quantum mutual information for small detuning. Our analysis
shows that the system irreversibility can be reduced by choosing the
appropriate phase of the self-induced nonlinearity. We further demonstrate that
the nonlinearity effect persist for a reasonable range of cavity decay rate.Comment: 8 pages 4 figure
Quantum information entropy of heavy mesons in the presence of a point-like defect
Using Schr\"{o}dinger's formalism, we investigate the quantum eigenstates of
the heavy mesons trapped by a point-like defect and by Cornell's potential. One
implements this defect to the model considering a spherical metric profile
coupled to it. Furthermore, the Nikiforov-Uvarov method is applied to theory to
study the quantum eigenstates of the heavy mesons. To calculate the quantum
information entropy (QIE), one considers the wave functions that describe the
charmonium and bottomonium states. To explore the QIE, we use the well-known
Shannon's entropy formulated at the position and reciprocal space. The analysis
of the QIE gives us relevant information about how the quantum information
change with the variation of the point-like defect. Consequently, considering
the Bialynicki-Birula and Mycielski (BBM) relation, we show how this defect
influences the quarkonium position and momentum uncertainty measures.Comment: 15 pages, 2 figures, 1 tabl
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 spatialâtemporal 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
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