Stock prices of clean energy firms, oil and carbon markets : a vector autoregressive analysis

Recent discussions of energy security and climate change have attracted significant attention to clean energy. We hypothesize that rising prices of conventional energy and/or placement of a price on carbon emissions would encourage investments in clean energy firms. The data from three clean energy indices show that oil prices and technology stock prices separately affect the stock prices of clean energy firms. However, the data fail to demonstrate a significant relationship between carbon prices and the stock prices of the firms.

Does the housing market respond to information disclosure? : Effects of toxicity indices in Japan

The policy instruments that provide information on a firm's or facility's environmental performance, such as the U.S. Toxic Release Inventory (TRI) and the Pollutant Release and Transfer Register system (PRTRs) used in some European countries and Japan, play an important role in encouraging firms or facilities to improve their environmental performance, if investors, consumers and residents recognize their environmental performance. This study uses a hedonic approach to explore how the Japanese rental housing market responds to carcinogenic risk arising from releases and transfers of chemical substances produced and used at close facilities. We found that residents do not perceive carcinogenic risk generated more than 1.0 km away from their residence and that they seem to recognize the increased carcinogenic risk at distances from 0.5 km to 1.0 km away; a 1% increase in carcinogenic risk reduces the average rent by 0.0007%. The distance at which residents perceive the risk arising from such facilities is less than in previous studies. This suggests that the risk perception recognized in previous studies may capture the other externalities in addition to the chemical risk because the risk is measured by the distance.

Internet marketing and export market growth in Chile

Previous studies show that the Internet positively influences firms’ export activities from developed markets. However, the literature is vague as to whether the Internet has an impact on the export performance of firms from emerging markets. This study tests a conceptual model that includes the effect of Internet marketing capabilities on export market growth in an emerging market. Drawing on a cross-national sample of 204 export firms from a Latin American country (Chile), findings indicate that Internet marketing capabilities positively influence the availability of export information, which in turn impacts the development of business network relationships and export market growth.

Web mediated market interactions and enterprise software

With increased consolidation and a few large vendors dominating the market, how can software vendors distinguish themselves in order to maintain profitability and gain market share? Increasingly customers are becoming more proactive in selecting a vendor and a product, drawing upon various publications, market surveys, mailing lists, and, of course, other users. In particular, though, a company's Web site is the obvious place to begin information gathering. In sum, it may seem that the days of the uninformed customer prepared to be "sold to" are potentially all but gone.

New country market feasibility analyses

Opportunity screening is also known as feasibility testing, which is the process of assessing whether a particular business opportunity is within the capacity of either an entrepreneur or an intrapreneur, and also whether it can create sustainable revenues. As the funnel diagram shows, the number of opportunities diminishes as we move to the right through the diagram. This is because not every idea identified in the opportunity identification stage as potentially interesting, and then framed into a business opportunity in the opportunity development stage, will satisfy the formal and informal screening criteria. The informal screening process occurs in all stages of the development process. For example, not every idea that has been identified will be converted into a business opportunity; similarly, not every business opportunity progresses to a feasibility test. Subsequently, only the best business opportunities are screened, and only the very best of those screened then progress to the business plan step.