Keynesian Pragmatism: The Human Logic of Uncertainty
In: Leeds University Business School Working Paper
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In: Leeds University Business School Working Paper
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In: International Food Policy Research Institute, IFPRI Discussion Paper 2118, April 2022
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In: HKS Working Paper No. RWP17-010
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In: HELIYON-D-22-24512
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In: Forthcoming in the "Handbook of Business and Climate Change," A. K. Sundaram & R. G. Hansen (Eds.), Edward Elgar Publishing, January 2023.
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Working paper
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A harmful impact of climate change and global warming has concerned various sectors of the international community. Numerous energy policies aiming at climate change mitigation have been implemented on a national and global scale. Renewable energy technologies (RETs) play a critical role in enhancing sustainable solutions that significantly limit greenhouse gas (GHG) emissions. Such innovative technologies can facilitate energy transition through providing, e.g., energy security, sustainable development, and effective usage of indigenous resources. However, the commercialization of RETs is extremely challenging. The barriers can be of a different nature, although this study focused on socioeconomic and regulatory issues. There is ample evidence that energy policies play a central role in supporting adoption of renewables. It is also claimed that RETs require the whole ecosystem to support their successful diffusion. In this study, we explored multifarious barriers for widespread RET diffusion in two European Union countries, Finland and Poland, indicating the most common barriers existing in the literature as well as analyzing major bottlenecks from the viewpoint of renewable energy companies' executives. We also present statistics of the most commonly used RETs in these countries in order to express the diffusion issues more appropriately. The research shows that inflexible, ineffective, and excessive regulatory frameworks; limited financing options; as well as an insufficient level of societal awareness have been seen as the main bottlenecks for RET diffusion in both countries. The outcomes of this study provide useful insights for the researchers in the energy transition field as well as practical managerial and regulatory implications aimed at overcoming these challenges.
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Roads are major transportation infrastructure whose sustainability of maintenance practices has never been holistically assessed due to a lack of a proper method. This paper applies a newly developed assessment method (see article part I) on a 10-km-long section of French highway to fully compare the performance of various types of pavement resurfacing policies, for all the maintenance stakeholders, and considering pavement–vehicle interaction (PVI). After presenting the highway section and the parametrization of the model, four alternative resurfacing frequencies are compared to the French standard maintenance scenario over the pavement lifespan. Results show that increasing resurfacing frequency generates gains in terms of domestic production and employment, environmental damage (health, biodiversity, resources), user budgets, and local residents' health damage created by traffic noise. Conversely, it entails financial losses for the road operator and government (tax revenues and net present value), as well as time losses for users. On the contrary, the consequences of a decrease in this frequency are the opposite. Excess fuel consumption due to PVI governs the scale of the environmental and financial gains or losses of highway maintenance policies. Optima in terms of health returns on investment and user savings appear to be around a 50% increase in maintenance funding: for each additional euro spent by the operator, there is a user gain of 3.5 euros and a human health gain of 710 euros. Sensitivity analyses indicate that the marginal gains are highly sensitive to the thickness of the resurfacing technique for macroeconomic indicators, global Net Present Value, and operator savings, while the gains are proportional to the traffic and International Roughness Indicator deterioration speed for tax revenue, users' savings, time savings, noise, and environmental metrics. The other indicators are either slightly or not sensitive to these parameters. To conclude, the entire road maintenance system must be ...
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This study aims at developing econometric models to manage the price risk of Dry and Wet Cocoa beans with the help of ARIMA (Autoregressive Integrated Moving Average) and VAR (Vector Auto Regressive). The monthly price of Cocoa beans is collected for the period starting from April 2009 to March 2020 from the office of CAMPCO Limited, Mangalore, and the ICE Cocoa futures price from the website of investing.com. The augmented dickey fuller test is used to test the stationarity of the series. The ACF and PACF correlograms are used to identify the tentative ARIMA model. Akaike information criterion (AIC) and Schwarz criterion (SBIC), Sigma square, and adjusted R2 are used to decide on the optional AR and MA terms for the models. Durbin–Watson statistics and correlograms of the residuals are used to decide on the model's goodness of fit. Identified optimal models were ARIMA (1, 1, 0) for the Dry Cocoa beans price series and ARIMA (1, 1, 2) for the Wet Cocoa beans price series. The multivariate VAR (1) model found that the US and London Cocoa futures prices traded on the ICE platform will influence the price of Dry Cocoa in India. This study will be helpful to forecast the price of Cocoa beans to manage the price risk, precisely for Cocoa traders, Chocolate manufacturers, Cocoa growers, and the government for planning and decision-making purposes.
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New technologies are supported by the global implementation of the internet. These improvements have deeply affected various disciplines of sciences and consequently changed services such as daily business, particularly health sectors. Innovative digital marketing strategies utilize the channels of social media and retrieved user data to analyze and improve relevant services. These multidisciplinary innovations can assist specialists, physicians and researchers in diagnostic, prophylaxis and treatment issues in the health sector. Accordingly, compared to recent decades, health decision makers are more accurate and trustful in defining new strategies. Interestingly, using social media and mobile health apps in current pandemics of SARS-CoV-2 could be an important instance of the key role of these platforms at the local and global level of health policies. These digital technologies provide platforms to connect public health sectors and health politicians for communicating and spreading relevant information. Adding influencers and campaigns to this toolbox strengthens the implementation of public health programs. In 2016, the WHO adopted a global program to eliminate viral hepatitis by 2030. Recent constructive measures that have been used in the battle against COVID-19 could be adopted for the elimination of viral hepatitis program. The presented evidence in our narrative review demonstrates that the application of digital marketing tools to create campaigns on social media, armed with professional influencers, can efficiently consolidate this program. The application of different strategies in using these popular tools will raise the public awareness about viral hepatitis. Subsequently, the availability of an effective vaccine for HBV and antiviral medication for HCV can motivate the audience to take steps towards prophylaxis and screening methods against these infectious illnesses. The encouragement of health policy makers to apply digital communication technologies and comprehensive roadmaps to implement this ...
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This study seeks to revalidate existing research insights on the relationship between internationalization and firm performance and to examine the role of the Global Financial Crisis (GFC) as a potential moderator to this relationship. The research uses a longitudinal database of US-listed manufacturing companies over the period 2000-19. It employs a foreign market penetration-based construct as well as a foreign production-based construct of internationalization and uses a fixed effects linear regression model for the analysis. The study suggests that the relationship between foreign market penetration-based internationalization and firm performance shows a declining trend over the past two decades. This may not be a negation of the generally accepted relationship (inverted-U or S-shaped) but a reflection of the data set used and the economic conditions of the study period. The trend towards co-movement of global business cycles has eroded the benefits of internationalization while factors like protectionism and political and foreign currency risk continue to create challenges for diversified firms. Foreign Production based internationalization, on the other hand, does not have a significant relationship with firm performance. Further, the GFC negatively moderated the relationship in the case of Foreign Market Penetration based internationalization. This could be due to heightened protectionism, increased complexity and cost pressures induced by the crisis. The moderation impact of the GFC in the case of Foreign Production was not significant. This can be attributed to the fact that the strong negative effects mentioned above were attenuated by the benefits of strong subsidiary linkages (i.e. financial support as well as internal markets in the case of vertical linkages.) Finally, and drawing from these points, the study also suggested that the negative moderation impact of the GFC on firm performance was stronger in the case of foreign market penetration-based internationalization than in the case of foreign ...
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In: ENGAGE Working Paper No.14 (November 2022)
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Изучены факторы, влияющие на число зарегистрированных коррупционных преступлений в регионах России. Рассмотрены статистические данные по 81 региону с 2008 по 2017 гг. и проведён их регрессионный анализ. В исследовании делается акцент на двойственность изучаемых переменных: с одной стороны, они отражают уровень коррупции в регионах, с другой – усилия правоохранительных органов по борьбе с ней. Выявлено, что на статистику данных преступлений положительно влияют рост инфляции и разница между доходами населения, неоднозначное влияние оказывают ВРП региона на душу населения и доля граждан с высшим образованием. Полученные результаты могут быть использованы для улучшения антикоррупционной политики.
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