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KOF Working Papers, 327

The unprecedented deterioration of our global environment has increased the necessity of relying upon Green Economic policies as critical and effective environmental management tools. The current s ...

Renewable energy promotion has been one of the key driving forces of the world’s climate change mitigation strategy. Policymakers have argued that the transition towards a low-carbon energy system has sound economic and social reasoning, since generates economic growth and employment. This central premise has not, however, been consensual in literature, which requires additional research. In this context, the goal of this paper is to analyze and provide empirical evidence of the relationship between renewable energy deployment and job creation, by employing econometric methods from panel data analysis. The research is focused on European Union’s 28 member states, analyzing the relationship between historical values of renewable power generation installed capacity and employment over the period 2000–2016. Results suggest a positive relationship between these two variables, showing an increase of 0.48% in employment for each 1% increase in renewable power generation capacity. The outcomes of the present analysis enable better understanding of the social context of renewables, providing relevant insights that can constitute an auxiliary instrument to support decision-making. Keywords: Econometric analysis, Employment, Renewables, European union, Panel data regressions

ABSTRACTThe article presents a demand-driven model, where the saving rate of households at the bottom of the income distribution becomes the endogenous variable that adjusts for full employment to be maintained over time. An increase in income inequality and the current account deficit and a consolidation of the government budget lead to a decrease in the saving rate of the household sector. Such a process is unsustainable because it leads to an increase in the debt-to-income ratio of the households and its maintenance depends on some kind of asset bubble. This framework allows us to better understand the factors that led to the Great Recession in the United States and the dilemma of the present and the future regarding a repeat of this unsustainable process or secular stagnation.

This study investigates how the mobile phone can complement knowledge diffusion in order to influence CO2 emissions in 44 Sub-Saharan African countries for the period 2000-2012. The empirical evidence is based on Generalised Method of Moments. Three knowledge diffusion variables representing three of the four pillars of the World Bank’s Knowledge Economy Index are employed: educational quality, information and communication technology (ICT) and scientific output. Six CO2 emission variables are used, namely: CO2 per capita, CO2 from electricity and heat, CO2 from liquid fuel, CO2 from manufacturing and construction, CO2 from transport and CO2 intensity. In the assessments, a decreasing tendency in these variables translates into positive conditions for environmental sustainability. Based on net effect from complementarities, the following findings are established. First, the mobile phone complements education to have a net negative effect on CO2 emissions per capita and CO2 emissions from the consumption of liquid fuel. Second, where some positive net effects of knowledge diffusion are apparent, corresponding marginal effects are negative. Corresponding mobile phone penetration thresholds at which the positive net effects on CO2 emissions can be dampened and reversed are largely within policy range. Practical and theoretical implications are discussed.

Implementing an effective climate policy is one of the main challenges for the future. Curbing greenhouse gas emissions can prevent future irreversible impacts of climate change. Climate policy is therefore crucial for present and future generations. Nonetheless, one may wonder whether future economic and social development could be harmed by climate policy. This paper addresses this question by examining recent developments in international climate policy and considering different levels of cooperation that may arise in light of the outcomes of the Conference of the Parties held in Doha. The paper analyses how various climate policy scenarios would enhance sustainability and whether there is a trade-off between climate policy and economic development and social cohesion. This is done by using a new comprehensive indicator, the FEEM Sustainability Index (FEEM SI), which aggregates several economic, social, and environmental indicators. The FEEM SI is built into a recursive-dynamic computable general equilibrium model of the world economy, thus offering the possibility of projecting all indicators into the future and of delivering a perspective assessment of sustainability under different future climate policy scenarios. We find that the environmental component of sustainability improves at the regional and world level thanks to the implementation of climate policies. Overall sustainability increases in all scenarios since the economic and social components are affected negatively yet marginally. This analysis does not include explicitly climate change damages and this may lead to underestimating the benefits of policy actions. If the USA, Canada, Japan and Russia did not contribute to mitigating emissions, sustainability in these countries would decrease and the overall effectiveness of climate policy in enhancing global sustainability would be offset.

In order to estimate the economic costs of climate change for Tunisia, this paper uses a combination of biophysical and economic models. In addition, the paper draws on the literature to complement the quantitative analysis with policy recommendations on how to adapt to the changing climate. The results bear out the expectation that climate change has a negative but weak overall effect on the Tunisian economy. Decomposing the global and local effects shows that global climate change may benefit the agricultural sector since higher world market prices for agricultural commodities are likely to stimulate export expansion and import substitution. Locally felt climate change, however, is likely to hurt the agricultural sector as lower yields reduce factor productivities and lead to lower incomes and higher food prices. The combined local and global effects are projected to be mostly negative and the costs will have to be carried mainly by urban and richer households. From a policy perspective, the results suggest that Tunisia should try to maximize the benefits from rising global agricultural prices and to minimize (or reverse) declining crop yields at home.

This paper investigates whether an inefficient allocation of abatement, due to constraints on the use of currently available low carbon mitigation options, can promote innovation in new technologies and eventually generate welfare gains. We focus on the case of nuclear power phase out, when accounting for endogenous technical change in energy efficiency and in low carbon technologies. The analysis uses the Integrated Assessment Model WITCH, which features multiple externalities due to both climate and innovation market failures. Our results show that phasing out nuclear power stimulates additional R&D investments and deployment of infant technologies with large learning potential. The innovation benefits which this would generate and that would not otherwise be captured due to intertemporal and international externalities almost completely offset the economic costs of phasing out nuclear power. The technological change benefit depends on the stringency of the climate policy and is distributed unevenly across countries.