Interplay between internal investment and alliance specialization in R&D and marketing

A firm's efforts to build its technological and marketing capabilities are not limited to internal investments but can be extended to include external knowledge acquisitions. We examine the interaction between a firm's specialization in R&D or marketing through its internal investments and its alliances in two different industrial contexts. Our results, based on secondary data sources such as Compustat and SDC Platinum from 1985 to 2009, show that the interaction effects of internal specialization and alliance specialization are contingent on the types of tasks (i.e., R&D and marketing) and the industrial context (i.e., high- and low-tech industries). Our findings indicate that a firm in a high-tech industry is able to achieve greater gains by complementing its internal focus on R&D with its external focus on marketing or by focusing on R&D both internally and externally. In contrast, a firm in a low-tech industry is able to achieve greater performance when R&D and marketing complement each other, without regard for how they are aligned through internal investments and alliances. The firm is also able to improve its performance by focusing on marketing both internally and externally. These findings provide new insights into the complementarity between internal investments and alliances.     

Optimal Timing of Climate Change Policy: Interaction Between Carbon Taxes and Innovation Externalities

This paper addresses the impact of endogenous technology through research and development (R&D) on the timing of climate change policy. We develop a model with a stock pollutant (carbon dioxide) and abatement technological change through R&D, and we use the model to study the interaction between carbon taxes and innovation externalities. Our analysis shows that the timing of optimal emission reduction policy strongly depends on the set of policy instruments available. When climate-specific R&D targeting instruments are available, policy has to use these to step up early innovation. When these instruments are not available, policy has to steer innovation through creating demand for emission saving technologies. That is, carbon taxes should be high compared to the Pigouvian levels when the abatement industry is developing. Finally, we calibrate the model in order to explore the magnitude of the theoretical findings within the context of climate change policy.      

The Economic Impact of SFAS NO. 157

Statement of Financial Accounting Standards No. 157, “Fair Value Measurements,” (SFAS 157) defines fair value, establishes a three tiered framework for measuring fair value and expands the required disclosures about fair value measurements. The objective of this study is to examine and evaluate the benefits of the information disclosed by SFAS 157. The results of our study indicated that a large majority of the inputs are observable in that 93.5% of the sample financial assets and 93.1% of the sample financial liabilities were measured by level 1 or 2 criteria. However, we found a mismatch between assets and liabilities subject to the three tiers of fair value measurements. The companies in our sample disclosed $18.8 trillion in total assets, with 51%, or $18.8 trillion in total assets, with 51%, or 9.5 trillion reported at fair value. Whereas, sample company liabilities totaled 16.1 trillion with only16.1 trillion with only 3.7 trillion or 23% reported at fair value.     

“Thirlwall’s Law” reconsidered

Thirlwall’s Law is found to be the necessary but not sufficient condition for balanced long-run growth. A simple equation is considered whose empirical analysis could confirm—or reject—the validity of the Law. The analysis, conducted by means of econometric co-integration using the Dynamic Ordinary Least Squares method applied to data for 59 countries covering the years 1960–2012, suggests that Thirlwall’s Law may not hold for the decisive majority of countries.     

Foreign direct investment and its impact on the Thai economy: the role of financial development

This paper examines the roles of foreign direct investment and financial development in the process of economic development using Thailand as the case study. We argue that better developed financial systems allow an economy to exploit the benefits of foreign direct investment more efficiently. The estimation draws upon an unrestricted error-correction model to avoid omitted lagged variable bias, and an instrumental variable estimator to correct for endogeneity bias. Using annual time series data from 1970 to 2004, the results show that financial development stimulates economic development whereas foreign direct investment impacts negatively on output expansion in the long run. However, an increased level of financial development enables Thailand to gain more from foreign direct investment, suggesting that the impact of foreign direct investment on output growth can be enhanced through financial development. The results are robust to different measures of financial development.      

Short- and long-run heterogeneous investment dynamics

In this paper, we model the dynamics of business investment taking into account asset-specific characteristics potentially affecting the reactivity of aggregate and disaggregate capital accumulation over the business cycle. We estimate Information and Communication Technologies (ICTs) and traditional investment (non-ICT) determinants within a Vector Error Correction Model testing the assumptions of the flexible accelerator and neoclassical model as well as the role of financial constraints and uncertainty. We evaluate our model on Italian data over the period 1980–2012, and we check our results also with Spanish and UK data. Our findings support the assumption that capital is heterogeneous since short- and long-run determinants are significantly different across the assets. Traditional assets experience stock adjustment costs while ICT investment incurs flow adjustment cost. In the short run, liquidity is a key determinant of investment independently of the asset type. In the long run, uncertainty significantly affects ICT. Finally, the results of the counterfactual exercises support the idea that ICT is a key policy variable to foster economic growth.