The causal impact of material productivity on microeconomic competitiveness and environmental performance in the European Union

Interdisciplinary scholars and policymakers in the European Union (EU) claim that increasing material productivity improves the competitiveness of firms. However, the current evidence base has two main shortcomings. First, most studies fail to provide evidence beyond case studies, thus not considering dynamic effects and heterogeneity across firms, sectors, and countries. Second, they do not adequately take the endogeneity of changes in material productivity into account. In this paper, we investigate data from the Community Innovation Survey comprising over 52,000 firms across 23 sectors and 12 EU member states. Moreover, we take an instrumental variable approach to account for endogeneity. Our findings provide evidence for a positive and causal effect of material productivity improvements on microeconomic competitiveness for those firms that received targeted public financial support to realise eco-innovations. The effect tends to be limited to firms in certain material-intensive sectors and countries. We further show that such increases in material productivity reduce the firms’ carbon dioxide footprint, thus achieving both economic and environmental objectives. Therefore, our findings provide the important policy insight that tailoring the availability of public financial supports to sector and country specific circumstances and those eco-innovations that increase material productivity is most promising in reconciling competitiveness and climate change mitigation objectives

Assessing carbon emission savings from corporate resource efficiency investments: an estimation indicator in theory and practice

The Nationally Determined Contributions pledged by numerous countries under the Paris Climate Agreement refer to efficiency gains as a key instrument for achieving carbon emission reductions. Indicators for estimating emission savings from resource efficiency projects can play a key role in identifying and prioritising projects. Building on existing emission factor-based approaches, this paper introduces a methodology which allows consistent ex-ante estimation of lifetime carbon savings from corporate resource efficiency investments. This methodology accounts for the intertemporal dimension of resource savings and project lifetimes and allows consistent aggregation across resource and project types. Moreover, it shows how social benefit (or cost) can be monetised. The methodology is tested using a resource efficiency investment project under the UN Clean Development Mechanism. We demonstrate that this indicator can be a robust, coherent and practical tool for firms, governments and investors to estimate carbon emission reductions from resource efficiency investments

Continuous Plasma density measurement in TJ-II infrared interferometer-Advanced signal processing based on FPGAs

This work presents the behavioral simulation in an FPGA of a novel processing system for measuring line average electronic density in the TJ-II stellarator diagnostic, Infra-Red Two-Color Interferometer. Line average electronic density is proportional to phase difference between probing and reference signals of the interferometer, as the Appleton–Hartree cold plasma model states. The novelty of the approach is the development of a real time measuring system where research work has been carried out in two ways: a new interpolation algorithm and the implementation of a new specific processor on an FPGA. The main goal of this new system is to measure line plasma electronic density for several channels in real time, also it will be useful to eliminate intermediate mixing frequency stages (the output signals coming from the interferometer are going to be directly sampled) and finally to generate real time density signals for control purposes in TJ-II and in other diagnostics. This device is intended to be the new data acquisition-processing system for the future six channel infrared interferometer that requires at least 14 input signals. The knowledge acquired could be useful in the design of W7-X and ITER IR-interferometer data acquisition and processing systems