Industry structure, R&amp;D intensity, and performance in New Zealand

Ameer, Rashid; Othman, Radiah

doi:10.1108/jes-05-2018-0185

Cited by 8 publications

(5 citation statements)

References 82 publications

(91 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Second, the scale of HTID leads to not only a direct increase of energy efficiency and but also an indirect reduction of energy efficiency through industrial structure. This conclusion conflicts with the expected results and previous studies, e.g., Kemeny & Osman (2018) and Ameer & Othman (2020). In combination with China's national conditions, the potential explanation might be that like the traditional industries, HTID in China still remains the extensive growth mode and depends on the economies of scale to improve energy efficiency (Li et al, 2017).…”

Section: Discussioncontrasting

confidence: 81%

“…Thus, along with the reduced energy consumption, energy efficiency can be improved (Borozan, 2018). Meanwhile, the industrial upgrading in traditional industries also adds higher value and promotes total factor productivity for the industries (Ameer & Othman, 2020), which in turn increase energy efficiency. Based on these, Hypothesis 3 is proposed as: Hypothesis 3: Industrial structure plays a significant intermediary positive role in the effect of HTID on energy efficiency.…”

Section: Industrial Structurementioning

confidence: 99%

See 1 more Smart Citation

The impact of high-tech industry development on energy efficiency and its influencing mechanisms

Yanfen

Huang

Xiang

et al. 2022

Front. Environ. Sci.

View full text Add to dashboard Cite

In responding to climate change, energy efficiency is one of the key factors for sustainable development, where the high-tech industry can play an important role. However, whether the development of high-tech industry impacts energy efficiency as well as the mechanisms behind still remain unclear. Thus, based on the dynamic spatial Durbin model, this study aims to investigate: 1) the impact of high-tech industry development on energy efficiency from three perspectives of high-tech industry development, i.e., scale, productivity, and agglomeration, and 2) the mechanisms behind such impact especially through technological innovation and industrial structure. The results confirm the influence of high-tech industry development on energy efficiency both directly and indirectly. On the one hand, our analysis contributes on the existing body of scientific knowledge by expounding the relationship between scale, productivity, and agglomeration of high-tech industry development and energy efficiency. On the other hand, it further deepens the understanding on such relationship by revealing two underlying mechanisms behind, i.e., through promoting technological innovation, the productivity and agglomeration of high-tech industries can either completely or partially improve energy efficiency, while the scale and agglomeration of high-tech industries can hinder energy efficiency to a certain level through the industrial restructuring. Based on these findings, this paper provides some policy implications, which are believed to facilitate the practices of energy conservation and emission reduction in China.

show abstract

Section: Discussioncontrasting

confidence: 81%

Section: Industrial Structurementioning

confidence: 99%

The impact of high-tech industry development on energy efficiency and its influencing mechanisms

Yanfen

Huang

Xiang

et al. 2022

Front. Environ. Sci.

View full text Add to dashboard Cite

show abstract

“…It is knowledge-intensive and technology-intensive industry often with the strong influence on economic development. According to the Liu et al (2011), Ameer and Othman (2020), high-tech industry promotes transformation and upgrade of traditional industries structure. The distinctive features of the enterprises in high-tech industry compared with the enterprises of other industries are high demand for scientific research, scientific and technical personnel, innovativeness and intensity of R&D expenditure; high number of patents and licenses and very fast diffusion of technological innovations.…”

Section: Introductionmentioning

confidence: 99%

Company performance and optimal capital structure: evidence of transition economy (Russia)

Spitsin

Vuković

Anokhin

et al. 2020

JES

View full text Add to dashboard Cite

PurposeThe paper analyzes the effects of the capital structure on company performance (return on assets). The analysis is conducted in a large sample of high-tech manufacturing and service companies in the transition economy (Russian Federation). In addition to the aggregated analysis, separate investigations are conducted to scrutinize the impact of company age, size and location factors (the effects of agglomerations). This research postulates the existence and variability of the optimal capital structure and its dependence on economic crisis.Design/methodology/approachWe utilized a large sample that includes 1,826 enterprises over the period from 2013 to 2017. The estimation was performed using the panel-corrected standard error estimation technique (Prais–Winsten regression) to account for the panel nature and distributional properties of our data. The existence of the optimal capital structure was assessed based on a curvilinear (quadratic) function.FindingsThe results are consistent with the Static Trade-off Theory and show that this theory is applicable to countries with transition economy. They demonstrate that effective management of the capital structure can increase return on assets by 16–22%. The optimal share of borrowed capital is higher for small businesses compared to larger ones and for enterprises located in agglomerations compared to those located in other regions. A greater increase in profitability can be achieved by larger firm companies compared to smaller ones. High share of borrowed capital leads to negative profitability, i.e. to losses by enterprises. No significant differences in profitability growth were identified between young and mature enterprises. The optimal share of borrowed capital that maximizes return on assets is in the range of 0–21%.Research limitations/implicationsDue to the SPARK policies, our access to the data has been limited to a five-year window, which imposed certain limitations on the choice of econometric methods we could have employed and somewhat limited our ability to contrast the effect of the crisis period with the period of stability. In this sense, although our results pertaining to the effect of the crisis could be treated as conservative, future research should consider extending the panel to include more years into consideration.Practical implicationsWe identified significant differences between optimal capital structures and actual capital structures for high-tech enterprises. The contribution of this study is that the calculations were made for a country with a transition economy under crisis conditions. Countries with transition economies and developing countries tend to be characterized by a high level of interest rates on loans and a high proportion of borrowed capital in total assets. This poses difficulties for companies relying on borrowed capital to finance their operations. At the same time, our results demonstrate that in transition economies, enterprises in high-tech industries do have an optimal capital structure that allows maximizing firm performance. That is, Static Trade-off Theory is applicable to transition economies characterized by high interest rates on loans.Originality/valueThe novelty of this study lies in the detailed analysis of high-tech industries in Russian Federation. This analysis makes use of sophisticated econometric techniques for the first time in this context.

show abstract

“…Tisch and Galbreath (2018) stressed the role of social relationships and community in organizational responses to extreme-weather events and climate change in New Zealand. New Zealand also has relatively stringent regulations (Ameer & Othman, 2020;Hernandez, 2018).…”

Section: Empirical Settingmentioning

confidence: 99%

Antecedents of risk and uncertainty management capabilities: Insights from multinational enterprises in New Zealand

Zámborský

Sullivan‐Taylor

Tisch

et al. 2022

Journal of Management & Organization

View full text Add to dashboard Cite

Risks and uncertainties of increasing severity and variety characterise the operating environments of most multinational enterprises (MNEs). Surprisingly limited attention has been given to understanding the antecedents and nature of risk and uncertainty management capabilities. In this study, we contribute to the organisational capability research, by examining the antecedents of risk and uncertainty management capabilities and theorising how MNEs develop and transfer risk and uncertainty management capabilities across borders. By drawing on empirical evidence from MNEs operating in New Zealand, we conceptualise the role of environmental factors – including country risk profile and regulatory environment – in shaping firms' risk and uncertainty management capabilities. We also inductively theorise about the organisational factors that support the development of risk and uncertainty management capabilities in MNEs, and explain which factors influence their cross-border transferability. Finally, we discuss our study's limitations and offer future research directions.

show abstract

Industry structure, R&D intensity, and performance in New Zealand

Cited by 8 publications

References 82 publications

The impact of high-tech industry development on energy efficiency and its influencing mechanisms

The impact of high-tech industry development on energy efficiency and its influencing mechanisms

Company performance and optimal capital structure: evidence of transition economy (Russia)

Antecedents of risk and uncertainty management capabilities: Insights from multinational enterprises in New Zealand

Contact Info

Product

Resources

About