1,605 research outputs found

    Endogenous Population and Environmental Quality

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    This paper provides with empirical and theoretical studies of the relationship between population, economic growth and environmental quality. Using a simple endogenous growth model we obtain results close to empirical findings. We show existence of a sustainable balanced growth path (BGP) equilibrium in which perpetual economic growth goes in parallel with environmental quality preservation. At the BGP equilibrium, when all exogenous factors are controlled, a negative relationship between fertility rate and economic growth (termed neo-Malthusian relationship) and a negative relationship between population growth rate and environmental quality emerge.Environmental quality; Endogenous population; Endogenous growth; Deforestation

    A semiparametric analysis of determinants of protected area.

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    We use a semiparametric additive model to study the relationship between protected area, income, trade, population, education, and political institutions in a sample of 89 countries. The results show the nonexistence of environmental Kuznets curve in the data sample. The study also points out the existence of nonlinearity in the relationship between protected area and the ratio of net secondary school enrollment.Education; environmental Kuznets curve; protected area; semipara-metric additive models

    Energy consumption and income : a semiparametric panel data analysis.

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    This paper proposes a semiparametric analysis for the study of the relationship between energy consumption per capita and income per capita for an international panel dataset. It shows little evidence for the existence of an environmental Kuznets curve for energy consumption. Energy consumption increases with income for a majority of countries and then stabilizes for very high income countries. Neither changes in energy structure nor macroeconomic cycle/technological change have significant effect on energy consumption.Energy consumption, environmental Kuznets curve, semiparametric panel model, nonstationarity.

    Growth and convergence in a model with renewable and non-renewable resources: existence, transitional dynamics, and empirical evidence

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    This paper studies an optimal endogenous growth model using physical capital, labor and two kinds of natural resources in the final goods sector and employing labor to accumulate knowledge. Based on results in calculus of variations, a direct proof of existence of optimal solution is provided. Analytical solutions for the planner case and the balanced growth paths are found for a specific CRRA utility and Cobb-Douglas production function. Transitional dynamics to the steady state from the theoretical model are used to derive three convergence equations of output intensity growth rate, exhaustible resource growth rate and renewable growth rate, which are tested based on data on production and energy consumption in 27 OECD countries.Optimal growth, existence of equilibrium, transitional dynamics, energy, renewable resource, non-renewable resource.

    Economic Growth and CO2 Emissions: a Nonparametric Approach

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    This paper examines the empirical interplay between economic growth and greenhouse gas emissions using panel data.Relying on nonparametric methods, we find evidence supporting specifications which assume the constancy of the relationship between per capita CO2 emissions and per capita GDP during the period of the study. Moreover, the usually adopted polynomial functional form is rejected against our nonparametric modelling. It is shown that the relationship between gas emissions and GDP displays more complex patterns, despite its monotonous shape, than the well-known Kuznets curve obtained from ad hoc parametric specifications. The economic development process has a negative effect on gas emissions, especially for the early and the advanced stages of development. As a result, developed countries as well as developing countries should make efforts to reduce CO2 emissions.CO2 emissions; Economic development; Environmental Kuznets curve; Nonparametric estimation; Panel data

    Using Microservices to Customize Multi-Tenant SaaS: From Intrusive to Non-Intrusive

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    Customization is a widely adopted practice on enterprise software applications such as Enterprise resource planning (ERP) or Customer relation management (CRM). Software vendors deploy their enterprise software product on the premises of a customer, which is then often customized for different specific needs of the customer. When enterprise applications are moving to the cloud as mutli-tenant Software-as-a-Service (SaaS), the traditional way of on-premises customization faces new challenges because a customer no longer has an exclusive control to the application. To empower businesses with specific requirements on top of the shared standard SaaS, vendors need a novel approach to support the customization on the multi-tenant SaaS. In this paper, we summarize our two approaches for customizing multi-tenant SaaS using microservices: intrusive and non-intrusive. The paper clarifies the key concepts related to the problem of multi-tenant customization, and describes a design with a reference architecture and high-level principles. We also discuss the key technical challenges and the feasible solutions to implement this architecture. Our microservice-based customization solution is promising to meet the general customization requirements, and achieves a balance between isolation, assimilation and economy of scale

    Synergistic effects of organizational innovation practices and firm performance

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    Organizational innovation has been shown to be favourable for technological innovation. However, the question of which organizational practices should be combined ? and thus of their compatibility ? remains unanswered. We here empirically investigate the complementarities between different organizational practices (business practices, knowledge management, workplace organization and external relations). Firm-level data were drawn from the Community Innovation Survey (CIS) carried out in 2008 in Luxembourg. Supermodularity tests provide evidence of the impact of complementary asset management to raise firms? innovative performance. The organizational practices? combinations differ according to whether the firm is in the first step of the innovation process (i.e. being innovative) or in a later step (i.e. performing as far as innovation is concerned). When adopting organizational practices, managers should therefore be aware of their effects on technological innovation. These results also have implications for public policies in terms of innovation support.Complementarities; Organizational innovation; Technological innovations; Supermodularity; Innovative performance
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