International trade of GMO-related agricultural products

This paper examines the international trade of a variety of genetically modified (GM) food products over a 27-year period (1984–2011) with data from the United Nations using the tools of social network analysis. The results indicate that each of the different crops have a distinctive pattern of trade that has changed over time due to a number of different factors. Also, trade in agricultural commodities became more diversified over time, dominated less by the United States and other nations central in the trade networks and trade in the individual GM crops was stable over time. Countries maintained their trading partners for specific crops, despite the adoption of the genetically modified varieties. The economic implications of these results are discussed for specific countries.     

Significant Issues for the Future of Product Innovation

Product innovation management, by definition, requires that we become comfortable dealing with change. As this journal enters its eleventh year of publication, the editor-in-chief asked each member of the editorial board to reflect upon changes and opportunities that they see influencing our profession during the coming decade. In our first installment of these essays, George Day, Bela Gold and Thomas Kuczmarski discuss the value of managing ideas, embracing a longer-term view of development opportunities, and creating a senior executive position charged with developing such opportunities. Each of these short essays is designed to introduce new perspectives. It is not essential that you agree with the recommendations, but we hope that you are stimulated as you reflect on the issues they present.     

Crude oil price forecasting based on internet concern using an extreme learning machine

The growing internet concern (IC) over the crude oil market and related events influences market trading, thus creating further instability within the oil market itself. We propose a modeling framework for analyzing the effects of IC on the oil market and for predicting the price volatility of crude oil’s futures market. This novel approach decomposes the original time series into intrinsic modes at different time scales using bivariate empirical mode decomposition (BEMD). The relationship between the oil price volatility and IC at an individual frequency is investigated. By utilizing decomposed intrinsic modes as specified characteristics, we also construct extreme learning machine (ELM) models with variant forecasting schemes. The experimental results illustrate that ELM models that incorporate intrinsic modes and IC outperform the baseline ELM and other benchmarks at distinct horizons. Having the power to improve the accuracy of baseline models, internet searching is a practical way of quantifying investor attention, which can help to predict short-run price fluctuations in the oil market.     

Economics at the FTC: Deceptive Claims,Market Definition,and Patent Assertion Entities

In 2015, the Federal Communications Commission (FCC) imposed common carriage regulation—so-called Title II requirements—on previously unregulated broadband Internet service providers. The regime shift was premised on the FCC’s findings that such rules had demonstrably yielded economic gains. This paper evaluates the FCC’s empirical arguments and finds them uncompelling. Adjustments for inflation or general economic trends eliminate the effects cited by the FCC. Moreover, contrary to the Commission’s assessment, mobile services and broadband markets have shown notable growth in response to deregulatory events that reduce Title II requirements.     

Performance analysis of the Gulf hotel industry: A Malmquist index with bias correction

This study uses the Malmquist index with bias correction to analyze the performance of hotel chains from the UAE, Saudi Arabia and Oman. We show that Saudi Arabia hotel chains have the highest productivity growth, followed by the UAE and Omani hotel chains. A further decomposition of productivity indicates that a small number of hotel chains experienced an increase in revenues for lower occupancy rate, while most other hotel chains experienced an increase in occupancy rate for lower revenues. Related market discussions of the results are provided.     

Early on-line detection of exothermic reactions

On-line supervision exhibits in many respects properties complementary to those of established off-line safety tests. Thus, on-line methods are powerful tools for increasing the safety of chemical processes, especially in situations where unexpected hazards could occur. Known on-line supervising methods are described and their advantage and disadvantages are briefly discussed. The abilities of various on-line methods are demonstrated on a real case.     

Brexit: How Will UK Agriculture Fare?

There is little doubt that Brexit would have significant implications for UK agriculture, a sector with strong trade links to the EU and strong reliance on CAP income support. This article reports preliminary results from employing a Computable General Equilibrium Model, a Partial Equilibrium Model and Farm Level Models to explore selected trade and domestic policy scenarios post‐Brexit. These allow for the estimation of changes in producer prices, production and farm incomes against a baseline scenario of continued EU membership. Under a Free Trade Agreement with the EU, agricultural impacts are relatively modest. By contrast, unilateral removal of import tariffs has significant negative impacts on prices, production and incomes. Adoption of the EU's WTO tariff schedule for all imports favours net importers (e.g. dairy) and harms net exporters (e.g. sheep). Given the strong dependence of most UK farms on direct payments, their removal worsens negative impacts of new trade arrangements and offsets positive impacts. Impacts vary across different types and sizes of farm, but also regionally. However, the period of adjustment to new trade and domestic policy conditions may prove very challenging for a large number of farm businesses.