Search results

Efficiency and productivity has always being a key issue in economic science. The analysis of the impact of research and development (R&D) has been extensively studied in industries and countries of more or less aggregated level. This chapter aims to investigate the impact of corporate R&D in performance of low-tech industries, medium-tech, and high-tech in OECD countries.

This chapter aims to answer the questions: Is the impact of R&D significant for all types of industries? If so, what are the differences and the magnitude of these effects in each of these types of industries?

To this end, an unbalanced data set from 2000 to 2011 was collected for the main countries of Europe and the United States concerning low-, medium-, and high-tech to analyze the impact of the magnitude of corporate R&D and capital accumulation on productivity of these industries. The productivity of industries was measured by stochastic parametric frontier functions, in order to measure the efficiency of R&D and accumulation of capital on labor productivity.

The main results highlight the impact of corporate R&D on productivity of high-tech industries, but for other industries those relations are not clear. However, capital accumulation became crucial on low technology to improve their performance. These results, although needing to include a more extensive data set of industries across countries, refer the need for policy and decision makers to allocate public funds for R&D in high-tech industries, while the investment in capital seems crucial, particularly in low-tech industries to improve the productivity.

There is growing empirical evidence that firm heterogeneity is technologically non-neutral. This chapter extends the Gandhi, Navarro, and Rivers (2020) proxy variable framework for structurally identifying production functions to a more general case when latent firm productivity is multi-dimensional, with both factor-neutral and (biased) factor-augmenting components. Unlike alternative methodologies, the proposed model can be identified under weaker data requirements, notably, without relying on the typically unavailable cross-sectional variation in input prices for instrumentation. When markets are perfectly competitive, point identification is achieved by leveraging the information contained in static optimality conditions, effectively adopting a system-of-equations approach. It is also shown how one can partially identify the non-neutral production technology in the traditional proxy variable framework when firms have market power.

“It should also be noted that the objective of convergence and equal distribution, including across under-performing areas, can hinder efforts to generate growth. Contrariwise, the objective of competitiveness can exacerbate regional and social inequalities, by targeting efforts on zones of excellence where projects achieve greater returns (dynamic major cities, higher levels of general education, the most advanced projects, infrastructures with the heaviest traffic, and so on). If cohesion policy and the Lisbon Strategy come into conflict, it must be borne in mind that the former, for the moment, is founded on a rather more solid legal foundation than the latter” European Commission (2005, p. 9)Adaptation of Cohesion Policy to the Enlarged Europe and the Lisbon and Gothenburg Objectives.

This paper aims to study whether Peruvian manufacturing firms that implement innovation have positive performance and whether R&D activities moderate these relationships.

Using a data set of Peruvian manufacturing firms from the 2018 National Survey of Innovation, a LOGIT model analysis was applied to 774 companies. In addition, the authors fitted different models into subsamples to explore the moderating effects of R&D on manufacturing firms. Finally, the regression models were computed using R software.

The results indicate that product, service and marketing innovation are associated positively with an increase in market share, while process and organizational innovations are associated positively with productivity. Moreover, companies with R&D are more productivity-oriented than companies without R&D.

This study contributes to the literature on innovation management by supporting the assumption that innovation results in increased productivity and expands market demand. In addition, findings highlight that R&D is essential for boosting firms’ productivity.

Managers should consider an appropriate combination of the innovation portfolio and R&D investments to make progress and increase performance in the company. In addition, policymakers should consider that investments to promote the development of R&D activities in manufacturing companies will likely lead to médium- or long-term returns.

The correct use of indicators to measure these relationships could help the policymaker to design and measure policy instruments more efficiently.

These results provide a deeper understanding of how the effects of innovations implemented by manufacturing firms, especially service and process innovation, improve their performance.

The primary purpose of the study is to examine the role of market power in driving innovation and productivity of intangible intensive firms of eight emerging economies of the Association of Southeast Asian Nations (ASEAN-8).

There is hardly any study on emerging economies that explored the causal chain of R&D–innovation–productivity, considering the role of market power in a structural model. Taking advantage of the availability of firm-level data and following the extended version of the Crépon, Duguet and Mairesse (CDM) model, we intend to fill the gap. The CDM model first explores the link between R&D and innovation, then the latter's impact on productivity. Besides, it captures sectoral heterogeneity and the differing roles of technological and institutional innovation on productivity.

The manufacturing firms that held a higher markup had a more significant contribution to driving innovation than services one. While institutional innovation affected productivity positively, technological innovation had the opposite impact. Nevertheless, firms' higher degree of monopoly, in general, worsened productivity outcomes. The estimated results are robust to a range of alterations.

The study offers implications for the competition policy of ASEAN.

The sample of this study accounts for almost half of the world's best-performing emerging economies. Thus, the findings are likely to contribute to the thin literature on market power's role in driving innovation and productivity in the intangible economy of emerging markets.

This paper aims to derive the conditions under which a financial services firm will want to hire a compliance services company and show how much money they should spend.

This paper uses a mathematical model to show the intuition behind many of the compliance decisions that cost financial services firms billions every year.

This paper finds that hiring compliance firms may save banks and brokerages money. However, their advice may lead to an embarrass de riches – whereby the lower compliance costs and higher profit advantages they confer may lead to more regulation. Regulators may furthermore tighten regulation – with the expectation that financial service firms will adapt somehow. This paper presents a fresh perspective on the Menon hypothesis, deriving conditions under which financial regulations help the competitiveness of an international financial centre.

The paper represents one of the first and only models of compliance spending by financial services firms.

This paper provides five potential policy responses for dealing with ever ratcheting financial regulations.

The paper hopefully launches literature on the compliance service industry – and the buy-or-do decision to engage in financial services compliance. This paper finds that efficient compliance can hurt firms, by encouraging regulation. This paper shows how firms can forestall the extra regulation that comes with easier internet and computerised monitoring.

The main purpose of this study is to examine the impact of imported inputs on firms' productivity in selected South Asian economies, namely Pakistan, India and Bangladesh. Furthermore, this study explores the complementarity between firms' capabilities and imported inputs in an augmented productivity framework.

A dataset comprising 7117 manufacturing firms of selected South Asian economies was taken from the World Bank for 2013 and 2014. The empirical analysis was based on stochastic frontier models, the ordinary least square method and instrumental variable estimation techniques.

The empirical results show that imported inputs have positive and significant effects on the firms' productivity in the selected countries. Moreover, the study findings demonstrate that firms' capabilities play a complementary role in expanding the firms' production frontier.

The study outcomes suggest that reducing tariffs on imported inputs will enhance the firms' productivity in the selected emerging economies. However, the study further finds that the potential gain of imported inputs is conditional on the firm's capabilities. It implies that firms operating in these countries can improve their performance by allocating more resources to capabilities, such as workers’ training, management and internal R&D effort.

The existing literature on the subject is sceptical about the positive impact of imported inputs on firms' productivity in the case of developing countries. In this regard, the shortage of skilled labour and firms' capabilities are compelling rationales that need to be explored. Thus, the potential contribution of the study lies in explaining the moderating role of firm's capabilities operating in the selected emerging economies in the nexus of imported inputs and productivity.

The purpose of this paper is to present the argument that there exists a threshold limitation to new knowledge creation, associated with a global productivity growth slowdown, a global decline in research and development (R&D) productivity and a decline in the growth of globalisation.

Taking the form of a conceptual paper, this paper seeks to advance the polemic that despite discussions of a ‘fourth industrial revolution,’ there has been no substantive change in a global decline in productivity growth, particularly in developed countries. Specific threats are identified and related to the consequences of technological proliferation in the absence of an effective research response to address them. Certain theoretical propositions are derived, with the suggestion that novel theory promises a ‘fifth industrial revolution,’ one that might ultimately reverse the downward trend in global productivity growth.

Drawing on management theory, derivation of the theoretical propositions suggests the existence of a mechanism related to research productivity enhancement. Discussions suggest that this mechanism might ultimately explain how the R&D productivity decline, evident since the 1970s, may ultimately be reversed.

The paper seeks to provoke novel thinking about the consequences of a failure to develop a research agenda explicitly focused on the attainment of economies of scale in the research process itself.

The purpose of this paper is to identify the drivers of firm’s growth such as research and development (R & D), absorptive capacity, knowledge management, organisation culture, access to finance, internationalisation and so forth. As far as the contribution is concerned, two objectives have been achieved from this empirical paper. First, this paper fills an important gap in the literature by determining the drivers of firm’s growth. Second, this study analysed the Pakistani software industry at micro level by investigating the firm’s knowledge-based assets and their significant association with labour productivity growth. Based on a face to face interview of 69 software firms, this study found that firm size, access to finance, internationalisation (exporting and outward foreign direct investment), business improvement methods and knowledge management have a positive impact on the firm’s labour productivity growth. In comparison, firm undertaking R & D and absorptive capacity showed negative association with labour productivity growth. This study implies that these software firms have low investment in knowledge-based assets. In summary, this empirical study suggests that high sunk costs, low investment in knowledge-based assets and shortage of skills generally affect the labour productivity of these software firms.

Survey analysis, using cross section data analysis.

This study found that firm size, access to finance, internationalisation (exporting and outward FDI), business improvement methods and knowledge management have a positive impact on the firm’s labour productivity growth. In comparison, firm undertaking R & D and absorptive capacity showed negative association with labour productivity growth. In summary, this empirical study suggests that high sunk costs, low investment in knowledge-based assets and shortage of skills generally affect the labour productivity of these software firms.

Additionally, suggestions for future research would be to investigate the relationship between drivers of firm growth and innovation performance. The survey analysis could be extended to other parts of country such as Karachi and Lahore for resolving causality.

First, this paper fills an important gap in the literature by determining the drivers of firm’s growth. Second, this study analysed the Pakistani software industry at micro level by investigating the firm’s knowledge-based assets and their significant association with labour productivity growth.

Drawing on institutional theory and knowledge spillover, the study aims to examine whether there is a causality relationship between macroeconomic factors and research productivity.

The study uses fixed-effects (FE) panel regression analysis, utilizing 1,614 country–year observations and 541,732 citable publications between 1996 and 2017, to explore the relationship between macroeconomic factors, research and development (R&D) expenditure and research productivity in economics and finance.

The results highlight a two-way relationship between R&D expenditure and economic development and research productivity. However, research productivity has no relationship with foreign direct investment (FDI), trade and financial development. In terms of remaining macroeconomic factors, financial development, trade and FDI have insignificant associations with research productivity in both directions of causality. In line with institutional theory, the findings support the notion that economically more developed countries and countries dedicating greater R&D funds have more potential to support research activities. On the other hand, in line with knowledge spillover, the research output of nations contributes to the economic development and expansion of R&D budgets. The results are robust to alternative methodology, endogeneity concerns, additional control variables, alternative sampling and alternative research productivity proxy.

The study suggests practical implications for nations to formulate macro-policies and a better research environment for academicians and to establish links between academic research and macroeconomic factors.

First, as there is limited research focusing on the bidirectional causality between the macroeconomic environment and academic research activity, the study adds to the understanding of the causality relationship between these two constructs. Second, it examines the bidirectional relationship between macroeconomic factors and research output at a global scale, while prior studies mostly focus on a single country, or a certain region or continent. Further, it is one of the few attempts particularly focusing on economics and finance research's bidirectional relation with the macroeconomic environment.