Trade-threshold Effect on Inflation in Tunisia: New Evidence Resulting from a Nonlinear Approach

Trade openness is an important determinant of the inflation process. The effect of trade openness on inflation, however, is still an issue of debate at both theoretical and empirical levels. This study tried to provide a contribution to the literature by examining the relationship between inflation and trade openness in Tunisia over the period 1975Q1-2015Q4 using a nonlinear model. The originality of this study stems from the fact that it is the first investigation considering both the Residual-Based Tests for Cointegration in Models with the Regime Shifts and Threshold Regression model. The linear model confirms the existence of a positive relationship between inflation and trade in Tunisia. Yet, considering the nonlinear model, trade openness growth and Consumer Price Index (CPI) inflation growth show a statistically significant negative link as long as the trade openness evolution does not exceed the threshold. Nevertheless, if the trade openness growth is higher than the threshold, integrating the trade positively affects CPI inflation. Furthermore, a positive influence of Money supply growth on this type of inflation was noticed in Tunisia in all the considered regimes proving the effect of monetary factors on inflation level. Consequently, trade openness could be used to control inflation in Tunisia.     

The origins of the concept of ‘foresight’ in science and technology: An insider's perspective

This article explores how the term ‘foresight’ originally came to be used in connection with science and technology by the author and SPRU colleagues in 1983. It analyses how the rationale for its use evolved over time, first providing a ‘catchy’ title for a study (‘Project Foresight’), and then a convenient shorthand for the focus of that study, before eventually coming to formally signify a new approach to looking systematically into the future of science and technology, an inclusive and wide-ranging process that differed appreciably from that of traditional ‘technology forecasting’. The paper reflects on the importance of concepts and terminology in the field of science policy research, providing examples of how an inappropriate term or phrase can damn the prospects of the research having an impact on policy, while a more politically astute use of terminology can greatly enhance the probability of making a significant impact. The paper also examines other early uses of the concept of ‘foresight’ in the United States and Canada at about the same time. In addition, it highlights the conceptual similarities between foresight and la prospective, a novel approach developed in France not just for looking into the future but also for shaping or even ‘constructing’ the future of our choice, an ambitious aspiration that it shares with foresight. This case-study on the origins and early evolution of ‘technology foresight’ illustrates the essential importance of terminology in differentiating key concepts in social sciences (where it sometimes gives rise to unfortunate priority disputes), and particularly in the case of policy research.     

Decentralization and electoral accountability: Incentives, separation and voter welfare

This paper provides a systematic analysis of fiscal decentralization on the quality of government by studying jointly its effects on electoral discipline and selection, in a setting where, realistically, voters only have limited information about fiscal policy in other jurisdictions, ruling out yardstick competition. Fiscal centralization reduces the extent of electoral discipline, as a corrupt (rent-seeking) incumbent can target good behavior only at a “minimum winning coalition” of regions (selective rent-diversion) in order to retain office, but thus makes it more profitable for bad incumbents to pool with good ones, thus increasing the probability of electoral discipline occurring at all. Voters tend to prefer centralization when politicians are low quality i.e. more likely to be corruptible. Centralization with uniform taxes can dominate both unconstrained centralization and decentralization, explaining why uniform taxes are so widely observed.     

The design of optimal climate policy with air pollution co-benefits

This paper develops a model of an optimal regulatory program for greenhouse gases (GHGs) emissions that accommodates the benefits due to reductions of co-pollutants including: sulfur dioxide (SO₂), nitrogen oxides (NO_x), volatile organic compounds (VOC), and fine particulate matter (PM_2.5). Employing per ton damage estimates for the co-pollutants produced by an integrated assessment model, co-pollutant damage estimates per ton carbon dioxide equivalent (CO₂e) are developed for over 10,000 sources of GHGs in the lower 48 states including both transportation sources and electric power generation. For coal-fired electric power generation, the co-pollutant damages are larger in magnitude than recent peer-reviewed estimates of the marginal damage for GHGs. The co-pollutant damage per ton CO₂e varies considerably across source types and source location. The paper estimates the welfare gain from adopting a policy that encompasses the spatially variant co-pollutant damage to be between $1 million and $85 million annually. The range depends on the slope of the marginal abatement cost curve. The paper also shows that a distortionary aggregate emission cap reduces the advantage of differentiated policy. Provided an excessively strict cap, the spatially differentiated policy may reduce aggregate welfare. This result has important implications for GHG policy in the United States; although co-pollutant benefits of abating GHGs have been shown to be significant in magnitude, tailoring climate policy to reflect these source-specific co-benefits is not necessarily socially beneficial. This bolsters arguments for upstream policy designs.     

Promotion tournaments in market equilibrium

This paper studies how promotion tournaments motivate workers to accumulate human capital when wages are constrained by outside labor markets. Patient firms can retain some control over tournament prizes through a relational contract, but if the firms are competitive, full efficiency does not obtain in equilibrium even for discount factors arbitrarily close to one. Full efficiency, however, may be feasible in firms with superior technologies; thus, technological efficiency breeds incentive efficiency. The paper also shows that a wage floor leads to insufficient human capital investment in competitive firms, but could lead to excessive investment in technologically superior firms.     

International diffusion of steel technologies: Time-lag and the speed of diffusion

The article deals with the diffusion of two major innovations in the world's steel industry, the oxygen steel process and continuous casting. Twenty-one countries, including the socialist countries of Eastern Europe, are analyzed from the point of view of their ability to adopt technology from pioneering countries. Among capitalist countries, Great Britain and the United States appear to be slower than others. Eastern European countries and the Soviet Union as a group show a lower ability to adopt technologies than capitalist countries, even the slowest ones. G. Ray's hypothesis that countries that are late-comers in adopting a particular technology benefit from that and are faster in spreading it over their industry is challenged. The correlation analysis shows that at least in one case, the oxygen steel process, the late-comers are not faster in diffusion than countries that were first in introducing new technology. It is concluded from empirical findings that late-comers may not be faster in diffusion if there is a lack of good communication (the Eastern European countries case) or when the technology in question is relatively simple and benefits from being late are insignificant (the case of oxygen steel process).     

Estimating Transition Probabilities from a Time Series of Independent Cross Sections

This paper considers the implementation of a nonstationary, heterogeneous Markov model for the analysis of a binary dependent variable in a time series of independent cross sections. The model, previously considered by M offitt (1993), offers the opportunity to estimate entry and exit transition probabilities and to examine the effects of time-constant and time-varying covariates on the hazards. We show how ML estimates of the parameters can be obtained by Fisher's method-of-scoring and how to estimate both fixed and time-varying covariate effects. The model is exemplified with an analysis of the labor force participation decision of Dutch women using data from the Socio-economic Panel (SEP) study conducted in the Netherlands between 1986 and 1995. We treat the panel data as independent cross sections and compare the employment status sequences predicted by the model with the observed sequences in the panel. Some open problems concerning the application of the model are also discussed.     

Could lean practices and process innovation enhance supply chain sustainability of small and medium‐sized enterprises?

Small and medium‐sized enterprises (SMEs) adopt lean practices (LP) to reduce waste across their organisational value chain, which helps achieve sustainability. Process innovation (PI) has also been applied through cleaner production, environmental management system, ecodesign, and so on to address both customers' needs and legislations by policymakers. Although prior studies reveal the effect of sustainable practices, LP, and PI on sustainable performance separately, less is known on the integrated effect of them on sustainability performance. Moreover, studies on mediating effect of LP and PI on sustainability performance are scant. This is significant as LP and PI are considered to be the enablers for achieving sustainability performance. This research addresses this knowledge gap. The research first theorises a model integrating these four major constructs (sustainability practices, LP, PI, and sustainability performance) through hypotheses development. Subsequently, using structural equation modelling, it is tested whether each of sustainability practices, LP, and PI effect sustainability performances. Additionally, mediating effect of LP and PI between sustainability practices and performances is derived. The study uses data from 119 SMEs within manufacturing industries in the Midlands, United Kingdom. Further, a few case studies have been undertaken to validate the findings from quantitative analysis. The overall results show that although sustainability practices, LP, and PI help achieve sustainability performance of SMEs supply chain through efficiency and responsiveness respectively, the mediating effect LP is more compared with PI. Moreover, SMEs adopt LP when they are economy focused and implement PI when they are pressurised by customers and/or policymakers.     

The mean residual of record values at the level of previous records

In the study of reliability of the technical systems, records model plays an important role. Suppose that a technical system is subject to shocks, e.g. peaks of voltages or stresses. The successive large shocks may be viewed as realizations of records from a sequence of identically independent voltages. Assume that the lower limit value of the mth record voltage (stress) is v > 0. Under these conditions, we propose a mean residual of records (MRR’s) for the future records. We study several properties of MRR. We show that the proposed MRR uniquely characterizes the distribution function that generated the sequence of records. It is proved that when the model under study has an increasing hazard rate the corresponding MRR is decreasing. We also compare between two record systems based on their MRR’s when these systems are ordered in terms of their hazard rates.