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We analyze the impact of monetary policy instruments on interbank lending rates and retail bank lending in China using an extended version of the model developed by Porter and Xu (2009). Unlike the central banks of advanced economies, the People’s Bank of China (PBoC) uses changes in the required reserve ratios and open market operations to influence liquidity in money markets and adjusts the regulated deposit and lending rates and loan targets to intervene in the retail deposit and lending market. These interventions prevent the interbank lending rate from signaling monetary policy stance and transmitting the effect of policy to the growth of bank loans. Since the global financial crisis, the PBoC’s monetary policy has gone through a full cycle. The combining effects of using different policy instruments simultaneously within a short period of time were quite effective in bringing the credit and money growth in line with its desired level. Most recently steps have been taken to speed up the interest rate liberalization. Effective July 2013, the PBoC removed the floors of the benchmark lending rates.

Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some legal aspects concerning MNEs, cyberspace and e‐commerce as the means of expression of the digital economy. The whole effort of the author is focused on the examination of various aspects of MNEs and their impact upon globalisation and vice versa and how and if we are moving towards a global digital economy.

This paper provides a structural model to value startup companies and determine the optimal level of research and development (R&D) spending by these companies.

This paper describes a new variant of float-the-money options, which can act as a financial instrument for financing R&D expenses for a specific time horizon or development stage, allowing the investor to share in the startup's value appreciation over that duration. Another innovation of this paper is that it develops a structural model for evaluating optimal level of R&D spending over a given time horizon. The paper deploys the Gompertz-Cox model for the R&D project outcomes, which facilitates investigation of how increased level of R&D input can enhance the company's value growth.

The author first introduces a time-varying drift term into standard Black-Scholes model to account for the varying growth rates of the startup at different stages, and the author interprets venture capital's investment in the startup as a “float-the-money” option. The author then incorporates the probabilities of startup failures at multiple stages into their financial valuation. The author gets a closed-form pricing formula for the contingent option of value appreciation. Finally, the author utilizes Cox proportional hazards model to analyze the optimal level of R&D input that maximizes the return on investment.

The integrated contingent claims model links the change in the financial valuation of startups with the incremental R&D spending. The Gompertz-Cox contingency model for R&D success rate is used to quantify the optimal level of R&D input. This model assumption may be simplistic, but nevertheless illustrative.

Once supplemented with actual transaction data, the model can serve as a reference benchmark valuation of new project deals and previously invested projects seeking exit.

The integrated structural model can potentially have much wider applications beyond valuation of startup companies. For instance, in valuing a company's risk management, the level of R&D spending in the model can be replaced by the company's budget for risk management. As another promising application, in evaluating a country's economic growth rate in the face of rising climate risks, the level of R&D spending in this paper can be replaced by a country's investment in addressing climate risks.

This paper is the first to develop an integrated valuation model for startups by combining the real-world R&D project contingencies with risk-neutral valuation of the potential payoffs.

Gives an in depth view of the strategies pursued by the world’s leading chief executive officers in an attempt to provide guidance to new chief executives of today. Considers the marketing strategies employed, together with the organizational structures used and looks at the universal concepts that can be applied to any product. Uses anecdotal evidence to formulate a number of theories which can be used to compare your company with the best in the world. Presents initial survival strategies and then looks at ways companies can broaden their boundaries through manipulation and choice. Covers a huge variety of case studies and examples together with a substantial question and answer section.

This chapter evaluates the effectiveness of states' research and development (R&D, used to represent creditable research expenses) tax credits. Prior studies report mixed results on the effect of state R&D tax credit incentives. Generally, such studies consider the influence of state R&D tax credits by applying the statutory income tax and R&D credit tax rates. We reexamine the effect of a state's entire tax burden instead of the statutory tax rates in moderating the effectiveness of a state's R&D tax credit incentives. After controlling for several nontax factors, such as the workplace environment, political environment, and workforce education levels in a regression analysis during the 2010–2013 period in 50 states, we find that statewide private-sector R&D spending is a positive function of the R&D tax credit and this effect increases with the overall level of the state tax burden. We attribute this finding to the fact that high tax burdens increase the present value of the R&D tax credits.

One of the key drivers behind the recent growth in the global solar energy market is the decline in solar module prices. Many empirical analyses have been carried out to identify the mechanism behind this price reduction. However, studies on the price reduction mechanism of solar modules over the years have focused purely on the technological aspect of manufacturing. The purpose of this study is to consider the influence of economic and monetary factors such as the interest rate and exchange rate on solar module pricing in addition to other factors that considered in earlier studies including technology, wage rate and other energy prices.

In this paper, an oligopolistic model and econometric method are used to determine the economic factors that have an influence on solar module prices. The paper constructs a solar module pricing model and conducts a fully modified ordinary least squares analysis to estimate the influence of each factor. Analysis is conducted for the top five solar module producing countries in the world from 1997 to 2015. The five countries are the People’s Republic of China, Germany, Japan, the Republic of Korea and the USA.

Empirical analysis provides several findings concerning the solar module pricing mechanism. These vary for each country. However, generally the interest rate has a positive correlation with solar module prices, while the exchange rate, knowledge stock and oil price have a negative correlation with solar module prices.

First, the government must expand channels for renewable energy funding. As renewable industries are high-tech, the influence that capital cost has on technology price is significant. Government efforts to provide industries with low-interest finance will accelerate renewable business. There have been many attempts to lower interest rates for renewable energy technology to accelerate growth in the green technology market. Second, the government must expand research and development (R&D) expenditures focused on renewable energy technology. The technological advancements acquired through R&D enhance module performance efficiency, thereby reducing costs. Therefore, government policies aimed at increasing targeted R&D expenditure will be an effective means of expanding the installation of renewable energies.

Studies on the price reduction mechanism of solar modules over the years have focused purely on the technological aspect of the manufacturing. This is the first research to bring economic, monetary and technological factors of solar module pricing together.

This study examines the importance of exchange rate and credit growth fluctuations when designing monetary policy in Thailand. To this end, the authors construct a small open economy New Keynesian dynamic stochastic general equilibrium (DSGE) model. The model encompasses several essential characteristics, including incomplete financial markets, incomplete exchange rate pass-through, deviations from the law of one price and a banking sector. The authors consider generalized Taylor rules, in which policymakers adjust policy rates in response to output, inflation, credit growth and exchange rate fluctuations. The marginal likelihoods are then employed to investigate whether the central bank responds to fluctuations in the exchange rate and credit growth.

This study constructs a small open economy DSGE model and then estimates the model using Bayesian methods.

The authors demonstrate that the monetary authority does target exchange rates, whereas there is no evidence in favor of incorporating credit growth into the policy rules. These findings survive various robustness checks. Furthermore, the authors demonstrate that domestic shocks contribute significantly to domestic business cycles. Although the terms of trade shock plays a minor role in business cycles, it explains the most significant proportion of exchange rate fluctuations, followed by the country risk premium shock.

This study is the first attempt at exploring the relevance of exchange rate and credit growth fluctuations when designing monetary policy in Thailand.

The purpose of this paper is to assess the financial disclosure vis‐á‐vis economic reality of research and development (R&D) expensed by Australian firms under the pre‐2005 Australian generally accepted accounting principles (A‐GAAP) regime via the lens of market‐to‐book.

The authors estimated firms' R&D profit rate, measured R&D revenue intensity and modelled the impacts of these and related economic factors, via economic and financial disclosure channels, on market‐to‐book using data for 1988‐2004.

R&D, on average, was profit neutral and had undetectable impacts on market‐to‐book whether via equity valuation or financial disclosure.

Market‐to‐book's information content is best viewed as conditional on the reference disclosure regime. Australian firms' typically at best minimal R&D profitability is an international anomaly. Data limitations in terms of the generating process and availability mean that R&D's impact on market‐to‐book via financial reporting is not definitively determined.

Restrictive rules on the capitalization of intangible asset‐related expenditures under A‐GAAP apparently did not adversely impact market‐to‐book's economic information. AIFRS's more permissive rule risks compromising market‐to‐book's reliability in such a role.

For Australia, the paper is anticipated to be the first to estimate the profit rate of R&D, measure the intensity of R&D, and model R&D's influence on the market‐to‐book ratio. It develops a framework for the economic and financial reporting impacts of investments on a key indicator of firms' financial standing and contributes to the debate on identifiable intangibles' disclosure.

Product innovation is central to the success of most companies. The rewards of a successful innovation programme are highly visible in terms of sales, profits and growth. But not so apparent are the strategies that underlie these product innovation efforts. This monograph is about the ingredients of a winning new product strategy — about strategic decisions on markets, technologies, products — that result in a successful innovation programme.