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This study aims to analyse the intellectual property rights (INPR), foreign direct investment (FDI) inflows and technological exports of 32 developing and developed countries for the period of 2006–2020.

Diagnostic tests were used to confirm the panel least squares, fixed effect, random effect, feasible general least squares, dynamic ordinary least squares and fully modified ordinary least squares estimator results as well as to increase the robustness.

According to the findings for the developing countries, trademark, patent and industrial design applications, each had a significant positive long-run effect on FDI inflows. In addition, there was a significant positive long-run relationship between patent applications and medium- and high-technology exports. Meanwhile, trademark and industrial design applications had a significant negative long-term effect on medium- and high-technology exports. In developed countries, patent and industrial design applications each have a significant negative long-term on medium- and high-technology exports. Furthermore, patent and trademark applications each had a significant negative long-run effect on FDI inflows.

This study contributes significantly to the focus that host countries evaluate the technology gaps between domestic and foreign investors at different industry levels to select the best INPR rules and innovation process by increasing international cooperation. Furthermore, the host countries should follow the structure–conduct–performance paradigm based on analysis of the market structure, strategic firms and industrial dynamics systems.

Nowadays, nations are rapidly changing and evolving, both because of global competitiveness and technological development. The fast change of the economies and the interconnected world has brought a more globalized world than ever. The purpose of this paper is to assess Romania (RO) and Türkiye (TR) by using a customized version of Porter’s diamond model (PDM), with an emphasis on identifying the key components of their innovation systems.

The paper uses a recognized model to unfold its structure. Based on the PDM, this paper tackles the topic of innovation systems both of RO and TR. Applying the model, a mapping of indicators representing components of the national innovation system is made possible. Besides the traditional four determinants (dimensions) of the model, the authors adapted it and added the technology conditions. Using the five dimensions, a comparison of strategical objectives is made between RO and TR.

The results show the potential for both countries to develop and embrace the innovation capacity, while there is still room for improvement in this regard. Another point is the map of innovation system components that were used for the comparison. The implications of innovation are analyzed at a strategical level, comparing the mapping with the national strategical objectives.

There are many studies using this model, however a few bring into the light the impact of innovation systems at national level. Hence, a new framework is provided to evaluate innovative systems using a selection of modern indicators. This study uses an existing model in literature, Porter’s model mapping indicators, which highlight the innovation capacity.

In this study, it is analyzed the validity of the exchange rate pass-through (ERPT) effect and the effect of interest rate and output level on the inflation rate (IR) in Brazil, Russia, India, China and Turkey (BRIC-T) between the years 1995Q1 and 2022Q4.

The methods such as the panel unit root test developed by Westerlund (2012), the LM bootstrap panel cointegration test developed by Westerlund and Edgerton (2007), the common correlated effects (CCE) estimator developed by Pesaran (2006) and the augmented mean group (AMG) estimator developed by Eberhardt and Bond (2009) that take into account the cross-section dependency are applied for analysis.

As a result of the findings, it is determined that the ERPT effect is valid in Turkey, Brazil, Russia, India and China and the cost channel is valid only in China. Finally, it is found out that output level positively affects inflation in Turkey, Brazil, Russia, India and China.

All these results indicate that the economies of Turkey, Russia, Brazil and India have a fragile structure, especially in terms of inflation. Therefore, the central bank of these countries should maintain exchange-rate stability to implement the inflation-targeting strategy successfully. In this context, central bank independence should be increased in these countries in achieving this objective. Also the results indicate that it is still early to consider whether BRIC-T countries and accordingly the Belt and Road Initiative will be an alternative against the domination of the USA and European Union (EU) on international trade system or it will substitute them.

In this study, it is tested that the impact of interest-rate (NIR), exchange-rate (FER) and output level (IPI) on general level of prices. Besides, it is analyzed that whether production level affects the IR. Also, the study investigates the economic issues such as ERPT effect and cost channel. The study analyzes whether China's Belt and Road Initiative is successful or not. In this study, we used the panel data methods that allow for structural breaks and cross-section dependency. For these reasons, this study differs from other studies in the literature both in terms of scope and methods used.

India's manufacturing exports are heavily tilted toward primary and resource-based products, while its Asian peers have a significant proportion of high and mid-tech products in their export baskets. An attempt is thus made to understand the hurdles faced by technology-intensive exports by India, using gravity panel estimates on its high, mid, and low-tech exports, using data across 130 countries from 2001 to 2019. In line with the Knowledge Theories of trade, which postulate that technical and scientific knowledge and innovation provide trade advantages, this chapter also tries to understand how India fares on this front. We use Principal Component Analysis to construct an index which provides a relative understanding of India's technical and scientific knowledge base.

We conclude that nontariff measures (NTMs) are a stringent hurdle faced by Indian exports, especially in the European Union. Tariffs have the most debilitating effect on its mid-tech exports and the least on high-tech exports. Regional Trade Agreements (RTAs) are most effective in creating trade for mid-tech exports and least in case of low-tech exports. The index for ascertaining India's relative knowledge base shows that while India ranked 6th in 2017, much higher than its Asian peers, its high and mid-tech exports lagged behind these countries. This puzzle is explained by the fact that scientific research in India has very little industry collaboration and thus is out of sync with market needs. Hence, the prevalent scientific and technical knowledge in India does not have the expected favorable impact on its technology-intensive exports.

This study aims to argue that manufacturers with more exploration orientation (compared to exploitation orientation) have higher degrees of export marketing internalization (EMI) of branding and channels.

The authors use a multisource survey collecting data from 161 Taiwanese high-tech manufacturers in emerging markets.

The results show that manufacturers with more exploration orientation have higher degrees of EMI of both branding and channels. This work also reveals that relational ties with supply chain peers can strengthen this proposed positive effect on the EMI of channels while weakening the positive proposed effect on the EMI of branding.

Accordingly, this study enriches the resource-based view (RBV) literature by showing how firms’ unique resource portfolios affect their adopted EMI strategies in two ways: (1) firms design their EMI based on their value maximization of core competences (e.g. ambidexterity capability), and (2) firms face resource inconsistency when designing their EMI of different marketing activities.

The research aims to identify the promising outlines of IFRS 4.0, where these standards will ensure the digital competitiveness of the economy and entrepreneurship. The authors systematize international experience with reference to the World Bank's statistics for 2022 and develop an econometric model that mathematically describes the cause-and-effect relationships of the IFRS 4.0 application. The model showed that an increase in the degree of information disclosure in corporate reporting ensures the inflow of investment, growth of high-tech exports, and the development of domestic high-tech industries (i.e., strengthens the digital competitiveness of the economy and entrepreneurship). The author's main conclusion is that IFRS 4.0 should provide for investment accounting and reflection of financial instruments for developing the digital economy for these standards to ensure the digital competitiveness of the countries and enterprises applying them. As for theoretical significance, this research, for the first time, proposes a promising outline of IFRS 4.0, with which these standards will ensure the digital competitiveness of the economy and entrepreneurship. That is, they will be applicable and highly effective in an Industry 4.0 environment. The managerial significance is that the author's recommendations on the development, implementation, and application of IFRS 4.0 will improve current corporate accounting and reporting practices in Industry 4.0. The practical significance is disclosed in perspective of IFRS 4.0 application in Uzbekistan proposed control values of target indicators, which can be used in drawing up a road map for strengthening the digital competitiveness of the economy and entrepreneurship of Uzbekistan.

This paper explores the association between a variety of trade and government policy measures of both home and trade partners introduced during the Covid-19 pandemic within the gravity-like framework by using the Turkish bilateral trade statistics at the six-digit product level from February 2020 to March 2022.

The empirical model is estimated by employing the two-way fixed effects (TWFE) estimation technique to get rid of the effects of unobserved time-invariant idiosyncratic country-product effects in the model and to evade the possible autocorrelation problem of trade measures.

Our empirical analysis suggests that lower Turkish GVC participation during this period can be attributed to lower mobilities and the lack of vaccines globally. Our analysis utilizing the different income groups of countries and technology group of sectors suggests that Turkish high-tech backward participation with developed countries can be more sensitive to any changes in Covid-19-related policy measures, whereas Turkish forward participation with both developed and developing markets can be more volatile during the pandemic because of the containment measures.

Sustaining mobility in the global production process is the key finding to sustain both backward and forward GVC linkages. In addition, enhancing a variety of partner countries is crucial for sustaining the flows of imported intermediates of the Turkish manufacturing sectors. Moreover, the sophistication of Turkish exported products can be the solution to continue the forward GVC participation even in the shock times. Given the product and partner country-level heterogeneities regarding contingency measures implemented by the governments, policymakers should carefully monitor each sub-sample separately and focus especially on enhancement in information, communication and transportation infrastructures to mitigate the contagious effect of any external shocks.

The unique monthly six-digit bilateral product-level trade dataset enables us to observe and utilize heterogeneous effects at the product, sector and partner country levels.

Previous studies demonstrate that market-oriented reform has contributed significantly to China's economic growth from the efficiency-based economic view. But some argue that state-owned firms have access to policy information, scarce resources, and government support, and thus state-owned firms might foster innovation. This study tries to find out either market force or state ownership helps improve firms' R&D efficiency.

Using data from China's high-tech industry, we employed the fixed-effect stochastic frontier model and the spatial panel Han-Philips linear dynamic regression model to investigate the relationship between market-oriented reform and the dynamic evolution of R&D efficiency in both temporal and spatial dimensions. Moreover, we examined whether the relationship is affected in a state-owned economy and an industry protection environment.

The results indicate the following: (1) the R&D efficiency of China's high-tech industry has improved steadily and has converged gradually across its regions during the market-oriented reform; (2) the marketization degree is positively correlated with R&D efficiency and its regional convergence; (3) the state-owned economy and industry protection have significantly weakened the ability of market forces to shape R&D efficiency — i.e. they reduce, rather than enhance, R&D efficiency.

This investigation helps understand the drivers of R&D efficiency in transition economies, and the findings are also helpful in defining the boundaries and constraints of market forces.

The context of skill creation and its development is fundamental to sustainable economic growth with vertical improvement in well-being. Now when it comes to the case of less developed countries, the implication of international trade in skill formation takes an idiosyncratic shape so far as our concern: a dearth of skill education and lack of evenness in access to skill education due to the underlying rampant and pronounced economic inequality (i.e., inequality in income and wealth) among people as what is quite typical. Against this backdrop, this chapter seeks to develop a general equilibrium model in line with Jones (1965 & 1971) and Beladi and Marjit (1996) to address how leveraging of foreign trade through technological modernization of exports may work toward skill formation in less developed economies with technological dualism, informalization, and disguised unemployment. Besides, this chapter brings to glare how benefit of such modernization toward skill development stands out to be weighed against a potential worsening of distributive justice in terms of rise in wage gap between skilled and unskilled workers. Moreover, this chapter seeks to overhaul the implication of liberalization of labor market in terms of dilution of minimum wage standard for human development. Thus, the bottom line is that comes up here forth that export modernization in name of improving external competitiveness and thereof attaining effective trade openness can promote skilled human but only risking an exacerbation of wage inequality.