Environmental Policy and the International Diffusion of Cleaner Energy Technologies

Technology transfer is an important channel of technological change and sustainable development for countries with less innovative ability than technological leaders. This paper studies whether domestic environmental policies affect the inward technology transfer of cleaner innovation from abroad. We focus specifically on the power sector, for its important role in the decarbonization process, by looking at zero-carbon (renewable) and carbon-saving (efficient fossil) technologies for energy production. Using data on cross-country patent applications, we provide evidence that environmental policy contributes to attracting foreign cleaner technology options to OECD markets but not to non-OECD markets. We show that this is due to the nature of the implemented policy instruments. Market-based approaches positively impact technology transfer to both OECD and non-OECD economies, while non-market based approaches have at best only a weak effect in OECD countries. Domestic environmental policies may provide too weak a signal for foreign innovators in countries off the technological frontier. This calls for a strengthening of policy incentives for technology transfer in light of pressing climate change objectives.     

Scale economies and input price elasticities in microfinance institutions

We evaluate the efficiency of microfinance institutions (MFIs) using a structural approach which also captures these institutions’ outreach and sustainability objectives. We estimate economies of scale and input price elasticities for lending-only and deposit-mobilizing MFIs using a large sample of high-quality panel data. The results confirm conjectures that improvements in efficiency can come from the growth or consolidations of MFIs, as we find substantial increasing returns to scale for all but profitability-focused deposit-mobilizing MFIs. Our results support the existence of a trade-off between outreach and sustainability. All inputs are inelastic substitutes, but we find differences in own-price elasticities in lending-only and deposit-mobilizing MFIs.     

Analysing the risk premium in the Italian stock market: ARCH-M models versus non-parametric models

This Paper investigates the variability of the risk premium in the Italian stock market, over the period 1978–89. We have modelled voatility using two different approaches: ARCH-M models and non-parametric models. The estimate of the ARCH-M models confirm the existence of both an ARCH process in the variance and a time-varying risk premium. Also the non-parametric specification confirms the existence of a time varying risk premium. Moreover in both models the acceleration in the inflation rate has a negative effect on stock prices.     

Economic policy uncertainty in the US: Does it matter for the Euro area?

We investigate the effects of a US economic policy uncertainty shock on some Euro area macroeconomic aggregates via Structural VARs. We model the indicators of economic policy uncertainty recently developed by  Baker et al. (2013) jointly with the aggregate price indexes and alternative indicators of the business cycle for the two above indicated economic areas. According to our SVARs, a one standard deviation shock to US economic policy uncertainty leads to a statistically significant fall in the European industrial production and prices of −0.12% and −0.06%, respectively. The contribution of the US uncertainty shock on the European aggregates is shown to be quantitatively larger than the one exerted by an Euro area-specific uncertainty shock.     

Preference erosion and the developing countries exports to the EU: a dynamic panel gravity approach

The erosion of preferences due to multilateral tariff reductions is a long-standing concern for many developing countries. This paper focuses on the erosion of the preferences granted by the EU in the rice industry. Since 2004 there has been a sharp decrease in border protection for the EU rice industry. Because the EU grants trade preferences to a considerable number of rice exporting developing countries, the reform implied preference erosion as well. By addressing the impact of preference erosion on developing countries rice exports to the EU, this paper contributes two original insights to the literature: first, by proposing a new empirical approach to compute the preference margin when tariff rate quotas are in force which is based on the assumption of the existence of fixed costs and economies of scale in international trade; second, by estimating the trade elasticities of preferences by means of a dynamic panel gravity equation to deal with the issues of endogeneity of preferences and persistency in bilateral trade flows. The results show that the way preference margins are calculated matters significantly when assessing the existence and extent of their erosion and the values of trade elasticities. Finally, the estimations highlight the fact that the impact of preferences is still very strong for some of the countries concerned.     

Public service motivation and public sector employment preference: Comparing Italian and British students

ABSTRACT

Previous research has suggested that an individual’s public service motivation (PSM) is positively linked to a preference for public sector employment. The authors explore this link using a sample of British and Italian undergraduate students. They found a positive relationship between PSM and public sector job preferences among Italian students but not with the British students. The UK has implemented more NPM-style reforms than Italy and this could be impacting on public sector recruitment. Implications for recruitment and retention the public sector are discussed.     

Bootstrap refinements for QML estimators of the GARCH(1,1) parameters

This paper reconsiders a block bootstrap procedure for Quasi Maximum Likelihood estimation of GARCH models, based on the resampling of the likelihood function, as proposed by Gonçalves and White [2004. Maximum likelihood and the bootstrap for nonlinear dynamic models. Journal of Econometrics 119, 199–219]. First, we provide necessary conditions and sufficient conditions, in terms of moments of the innovation process, for the existence of the Edgeworth expansion of the GARCH(1,1) estimator, up to the k$k$-th term. Second, we provide sufficient conditions for higher order refinements for equally tailed and symmetric test statistics. In particular, the bootstrap estimator based on resampling the likelihood has the same higher order improvements in terms of error in the rejection probabilities as those in Andrews [2002. Higher-order improvements of a computationally attractive k$k$-step bootstrap for extremum estimators. Econometrica 70, 119–162].     

A model for R&D performance measurement

R&D activities are increasingly costly and risky and, as a consequence, measuring their performance and contribution to value becomes critical. This paper illustrates a formal model for measuring R&D performance, based upon a balanced and synthetic evaluation of quantitative indicators from five different perspectives of performance: financial, customer, innovation and learning, internal business, alliances, and networks. The model is built in coherence with the suggestions coming from the theory of measurement in soft systems, which gives relevant guidelines for ensuring validity, objectivity and inter-subjectivity of the model. Then, an application in a real R&D setting is described, which helps to understand the model and to enlighten its main advantages and limits.