Demographic change,human capital accumulation and R&D‐based growth

Employing an overlapping generations model of R&D‐based growth with endogenous fertility and education decisions, we examine how demographic changes induced by an increase in life expectancy influence the long‐run growth rate of the economy. We demonstrate that life expectancy, when relatively low (high), positively (negatively) affects economic growth. This paper also compares the growth implications of child education subsidy policies (i.e., policies for enhancing basic education) and child rearing subsidy policies (i.e., pro‐natal policies) and demonstrate that while the child education subsidies consistently foster economic growth, child rearing subsidies may negatively affect economic growth.     

ON THE IMPACT OF PUBLIC DEBT ON ECONOMIC GROWTH: DOES COUNTRY RISK MATTER?

This study examines the nonlinear impacts of four country risk indices on the debt‐growth nexus for 61 countries in a panel data framework. Our results show evidence of the different debt‐growth nexus under the different degrees of country risk. Under a high‐risk environment, a country's economic growth is harmed by raising its public debt. The negative effects public debt has on economic growth become weak under low political and financial‐risk environments, while an increase in public debt could help to stimulate economic growth under low composite and economic risk environments. In addition, the differences of countries' income and debt levels also lead country risks to have different effects on the debt‐growth nexus, suggesting that a country should borrow appropriately based on its current risk environments while improving economic performance. (JEL C33, E02, H63, O43)     

How Productive Is Workplace Health and Safety?

In this paper, we investigate the causal impact of workplace health and safety practices on firm performance, using Danish longitudinal matched employer–employee data merged with unique cross‐sectional representative firm survey data on work environment conditions. We estimate standard production functions, augmented with workplace environment indicators, addressing both time‐invariant and time‐varying potentially relevant unobservables in the production process. We find positive and large productivity effects of improved physical dimensions of the health and safety environment, specifically, “internal climate” and “monotonous repetitive work”.     

Forecasting the Adoption of GM Oilseed Rape: Evidence from a Discrete Choice Experiment in Germany

This paper explores farmers’ willingness to adopt genetically modified (GM) oilseed rape prior to its commercial release and estimates the ‘demand’ for the new technology. The analysis is based upon choice experiments with 202 German arable farmers. A multinomial probit estimation reveals that GM attributes such as gross margin, expected liability from cross pollination, or flexibility in returning to conventional oilseed rape significantly affect the likelihood of adoption. Neighbouring farmers’ attitudes towards GM cropping and a number of farmer and farm characteristics were also found to be significant determinants of prospective adoption. Demand simulations suggest that adoption rates are very sensitive to the profit difference between GM and non‐GM rape varieties. A monopolistic seed price would substantially reduce demand for the new technology. A monopolistic seed supplier would reap between 45% and 80% of the GM rent, and the deadweight loss of the monopoly would range between 15% and 30% of that rent. The remaining rent for farmers may be too small to outweigh possible producer price discounts resulting from the costs of segregating GM and non‐GM oilseed rape along the supply chain.     

Specialization,diversification, and productivity: a panel data analysis of rice farms in Korea

This article examines the microeconomics of productivity associated with specialization/diversification in production activities, with an application to Korean rice farms. Korean rice farms tend to be very small and highly specialized. Our analysis examines the productivity effects associated with both farm size and farm specialization/diversification in Korean agriculture. Relying on farm‐level panel data, the analysis studies farm productivity in a multi‐input multi‐output context, accounting not only for changes in inputs and technical change in rice production, but also for the role of diversification in the production of other crops in current and previous periods. We find positive but small productivity gains from farm diversification. These gains come mostly from complementarity effects across farm outputs, with minimal effect of scale economies. The positive complementarity effects work against nonconvexity effects, which provide strong productivity incentives for rice farms to specialize.     

How do Agricultural Programmes Alter Crop Production? Evidence from Ecuador

Evaluating agricultural programmes requires considering not only the programmes’ influence on input and output indicators, but also considering the relationship between these indicators as embodied in the production technology. This article examines the impact on production of an intervention in the Ecuadorian Sierra designed to improve returns to potato production through training and through linking smallholders to high‐value markets. Critical to identifying the impact of the programme is the careful construction of a counterfactual and meticulous data collection. To assess the impact of the programme on production, a weighted estimation, where weights are constructed through propensity score matching, is employed to estimate a production function within a damage abatement framework. The function incorporates a series of interaction terms to assess the impact of the programme on the production technology. The findings provide evidence that the programme enhances yields both through a general shift in technology as well as increased input use. The results suggest that the use of effective farming techniques that are learned through the programme induce this technological shift.     

Entrepreneurial cognition and internationalization speed: towards a potential moderating effect of experiential and rational information processing

This study explores the influence that entrepreneurial cognition, in terms of the dichotomy in human information processing, has on the earliness of internationalization and post-entry speed. Entrepreneurial cognition is investigated through the lens of the dual-process theory, which posits that human information processing is formed of two systems, the experiential cognitive system (System 1) and the rational and analytical cognitive system (System 2). The speed of the entire internationalization process is analyzed in terms of earliness (how soon after inception a company enters its first international market) and post-entry speed (how fast it enters new markets after the first internationalization). Drawing on ten cases, we find that companies that internationalized earlier and faster were managed by entrepreneurs with higher levels of the experiential cognitive system. In contrast, companies that internationalized later and more gradually were managed by entrepreneurs with higher levels of the rational cognitive system. Thus, our study reveals that the speed of the entire process of internationalization is governed, at least partially, by the entrepreneur’s cognition. On the basis of our findings, we introduce three propositions on the moderation that the entrepreneur’s cognition exerts on the well-established relations between environmental signals and both earliness of internationalization and post-internationalization speed.

     

Breaking Collusion in Auctions through Speculation: An Experiment on CO2 Emission Permit Markets

The European Emission Trading Scheme (EU‐ETS) has chosen to adopt an auctioning procedure to initially allocate CO₂ emission permits. Free allocation of permits will become an exception for the third phase (2013–2020) and most firms will have to buy all their permits on the market or via auctions. The ability of bidders to collude is a key concern about the design of the auction format. To counter collusion, the auction can be open to bidders without compliance obligations (speculators). This paper aims at studying experimentally speculation as a collusion‐breaking device in two different auction mechanisms: the uniform‐price sealed‐bid auction and the ascending clock auction. Our results suggest that a uniform sealed‐bid auction open to speculators should be chosen from a revenue maximization point of view. In this mechanism, compliance agents adopt an aggressive strategy toward speculators. This strategy significantly increases the seller's revenue, compared to the more collusive clock auction. In the latter, on the contrary, bidders accommodate speculators, letting them buy permits in the auction and buying their necessary permits on the secondary market. However, as opening the auction to speculators deteriorates efficiency, the regulator faces a trade‐off between these two objectives.     

Total‐Factor Energy and Emission Efficiencies of ASEAN and Other Asian Economies

This research uses the slack‐based measure data envelopment analysis to compute the energy and emission efficiencies of Association of Southeast Asian Nations (ASEAN) and other Asian economies during the 2001–2017 period, employs the Malmquist productivity index to check for the main source of efficiency score changes due to technical changes, and then applies panel Tobit regressions to determine the factors explaining the efficiencies. Our empirical results show that the energy efficiency scores of ASEAN economies had been catching up to other Asian economies after the Global Financial Crisis, whereas the emission efficiency scores of various ASEAN economies had been falling behind other Asian economies over the same period. The main source of efficiency score changes over time is efficiency changes and not technical changes. Decreases in the fossil fuel ratio of net electricity generation and the secondary industry ratio within total industry improve both lead to improvements in energy and emission efficiencies.