The slowing down of the global economy adds additional challenges to China? economic policies as the country orchestrates its transition to lower resource dependency and higher technology intensity of output. Are policies aimed at technologically advanced sectors the right answer? Drawing from a newly created dataset of firms? balance sheets over the period 1998?2013, matched with patents data until 2009, we uncover that expenditure in innovation had limited effect on boosting productivity, without generating a clear gain in overall productivity for the high-tech sector. As a matter of fact, there is a much higher dispersion in productivity outcomes in firms belonging to the low-technology sectors, which derives from a bunch of champions in those sectors scoring higher productivity dynamics than in the High-technology sectors. The paper finds those barriers to entry and in general, market power of incumbents in the high-tech generate less than optimal resource reallocation, which hampers the overall productivity. Policies should presumably aim at removing such obstacles rather than solely promote innovation expenditure.

• The world economy is booming. The global upswing is investment-driven, and since investment goods usually have a large import content, it is no surprise that world trade has been buoyant during winter. The very expansionary US fiscal policy (tax reform and lifting of spending caps) could give an additional shortterm stimulus for the world economy. • However, we forecast world trade to slow down during 2018. The US administration’s announcement of high tariffs on steel and aluminium comes close to triggering a spiral into a broader trade conflict. Moreover, the globalization of value chains has been slowing down since the financial crisis due to the industrial upgrading in China and in other emerging economies that has declined processing trade. In addition, some types of manufacturing jobs have returned to source countries (reshoring) in response to technology innovation and lower labour costs differentials. • The euro area is in the middle of a broad based cyclical upswing. Higher exports and improved expectations have induced firms to invest more into equipment, as capacity utilization has been above average for some time now and is still increasing, and financing costs are very low. However, recent soft indicators, but also industrial production have been surprisingly downbeat, and there was some turbulence in financial markets, which suggests some caution. • The ECB will probably stop its asset purchase program at the end of 2018, but only later in 2019 start raising interest rates. Fiscal policy in the euro area is slightly expansionary this year, and a notable fiscal stimulus in France and in Germany is to be expected for 2019. • Overall, we forecast euro area GDP to expand by 2.2% in 2018 and by 1.6% in 2019. Accelerating wage dynamics will, together with higher price setting powers of firms and the recent increase in oil prices, cause consumer price inflation rising to nearly to 2% in 2019. Uncertainty, is however substantial, as a slight slowdown cannot be ruled out, which would also impact inflation dynamics.

Globalisation has greatly increased the degree of interdependence across countries. Macroeconomic policy must therefore take a global perspective, particularly in the case of small open economies such as Singapore. From a modeller’s point of view, this requires considering many countries, regions and markets, as well as multiple channels of transmission, including trade and financial linkages. Cross-country interdependencies are increasingly reflected in the effects of global shocks, to oil or food prices for example, as well as technology and policy uncertainty spillovers.

Governments purchase everything from airplanes to zucchini. This paper investigates the role of the technological content of government procurement in innovation. In a theoretical model, we first show that a shift in the composition of public purchases toward high-tech products translates into higher economy-wide returns to innovation, leading to an increase in the aggregate level of private R&D. Using unique data on federal procurement in US states and performing panel fixed-effects estimations, we find support for the model's prediction of a positive R&D effect of the technological content of government procurement. Instrumental-variable estimations suggest a causal interpretation of our findings.

We develop an endogenous growth model in which clean and dirty technologies compete in production. Research can be directed to either technology. If dirty technologies are more advanced, the transition to clean technology can be difficult. Carbon taxes and research subsidies may encourage production and innovation in clean technologies, though the transition will typically be slow. We estimate the model using microdata from the US energy sector. We then characterize the optimal policy path that heavily relies on both subsidies and taxes. Finally, we evaluate various alternative policies. Relying only on carbon taxes or delaying intervention has significant welfare costs.

Die bundespolitische Maßnahme der Energiewende und das Erneuerbare-Energien-Gesetz (EEG) als Teil davon haben in Sachsen-Anhalt Hoffnungen ausgelöst, die insbesondere mit der Förderung grüner Technologien in Verbindung standen. Das vorliegende Papier stellt eine Analyse der Wirkungen von Subventionen im Allgemeinen dar und widmet sich dem EEG und seiner Auswirkungen im Speziellen. Dazu werden auch Ergebnisse einer Befragung herangezogen, welche die Industrie- und Handelskammer (IHK) Halle-Dessau bei Unternehmen im südlichen Sachsen-Anhalt durchgeführt hat.

Governments purchase everything from airplanes to zucchini. This paper investigates the role of the technological content of government procurement in innovation. We theoretically show that a shift in the composition of public purchases toward high-tech products translates into higher economy-wide returns to innovation, leading to an increase in the aggregate level of private research and development (R&D). Collecting unique panel data on federal procurement in US states, we find that reshuffling procurement toward high-tech industries has an economically and statistically significant positive effect on private R&D, even after extensively controlling for other R&D determinants. Instrumental-variable estimations support a causal interpretation of our findings.

This inquiry employs ideas advanced by institutionalist thinker Paul Dale Bush to shed light on technology diffusion in Germany’s electrical generation and distribution industry. Research findings suggest that what Bush labeled as ceremonial dominance affects outcomes in technology selection. Evidence suggests that fossil fuel and nuclear technologies have remained favored by power producers despite the externalized environmental costs to society associated with their implementations. Advances in government policy have indeed created a framework that favorably accommodates renewable energy technologies. However, what Bush labeled ceremonial dominance is shown to persist and to contribute to ceremonial encapsulation. Consequently, renewable energy technologies have diffused only to the point that the powers behind the industry remain in dominant positions. Although there is measurable, incremental technological change in the electrical power industry, in light of the urgency of climate change problems, technologies supporting the electrical power system need to be selected more judiciously.

The impact of environmental regulation on technology diffusion and innovations is studied using a unique data set of German residential buildings. We analyze how energy efficiency regulations, in terms of minimum standards, affects energy-use in newly constructed buildings and how it induces innovation in the residential-building industry. The data used consists of a large sample of German apartment houses built between 1950 and 2005. Based on this information, we determine their real energy requirements from energy performance certificates and energy billing information. We develop a new measure for regulation intensity and apply a panel-error-correction regression model to energy requirements of low and high quality housing. Our findings suggest that regulation significantly impacts technology adoption in low quality housing. This, in turn, induces improvements in the high quality segment where innovators respond to market signals.