Coupling between financing and innovation in a startup: embedded in networks with investors and researchers

Innovation may be a basis for starting a business, and financing is typically needed for starting. Innovation and financing may conceivably be negatively related, or be unrelated, or plausibly be beneficially related. These possible scenarios frame the questions: What is the coupling between innovation and financing at inception, and what is the embeddedness of coupling in networks around the entrepreneur, specifically networks with investors and researchers? These questions are addressed with a globally representative sample of entrepreneurs interviewed at inception of their business. Innovation and financing are found to be decoupled, typically; less frequently to be loosely coupled, and rarely to be tightly coupled. Coupling is promoted by networking with both investors and researchers, with additive effects and with a synergy effect. By ascertaining coupling and its embeddedness in networks as a way for building capability in a startup, the study contributes to empirically supported theorizing about capability building.

     

Regulation of Location-Specific Externalities from Small-Scale Polluters

Environmental and Resource Economics - Emission damages caused by small-scale polluters such as farms, vehicles, homes and small businesses are often location-specific and such polluters are often...     

Opening entrepreneurial ecosystem’s black box: the power of networks in African low-income countries

What makes one type of entrepreneurial ecosystem (EE) more conducive to entrepreneurial dynamics than another? EE research is a hot topic, and considerable progress has been made as regards its elements, network, and actors’ components. However, some scholars regret the absence of an empirical analysis of EE as a whole to understand how EE configuration operates. To introduce this perspective, we propose an unexplored inter-organizational ties analysis among all EE actors, at a country-level scale. Based on the network theory perspective, we conduct an exploratory research in five low-income African countries, using innovative research methods (the quantitative graph theory, web scraping, the fuzzy-set qualitative comparative analysis) to understand the organizational patterns in these EEs, and their impact on entrepreneurial outcomes. At the core of this perspective lie inter-organizational ties measures of closeness, cohesiveness, and inter-connectedness, which are key causal conditions for high entrepreneurial dynamics levels and rates in low-income countries. This research underlines the importance of EE network attributes to facilitate the easy distribution of entrepreneurial nurturing components to entrepreneurs. It also highlights the importance of ease of information and knowledge flow, as well as a strong collaborative and coopetitive environment to make an EE more conducive to entrepreneurial dynamics.

     

Do insurers adjust prices for the adoption of loss prevention technologies? Evidence from Danish municipal contracts

Using data from 40 Danish municipalities on building characteristics, loss prevention technologies, insurance claims, and insurance bids from 2008 to 2019, we investigate whether and how loss prevention technologies influenced contract prices. The insurance bids cover a variety of municipal buildings across a range of risks including fire, water leakage, and building security as well as structure detection and alarm systems. The study shows that the magnitude of historical claims may affect both pricing offers and interest in loss prevention technologies. We do not find that loss prevention technologies have any significant influence on contract price. This suggests inefficiencies in the market from imperfect information.     

OPENING THE FLOODGATES: PARTIAL AND GENERAL EQUILIBRIUM ADJUSTMENTS TO LABOR IMMIGRATION

We investigate the impact of a large immigration shock on occupational wages. We develop a general equilibrium model where individuals sort into occupations and confront testable hypotheses with data. To identify the effect of the labor supply shock, we introduce a novel instrument that exploits that immigrants systematically sort into different occupations than natives. We study the immigration wave to Norway after the Eastern enlargement and find that immigration led to lower relative occupational wages. A quantification of the general equilibrium shows welfare effects of immigration close to zero for natives, but negative effects for the pre-existing population of immigrants.