High-technology Products Research Articles

Assessing the internationalization dynamics of emerging markets: a comprehensive analysis utilizing SWARA-WASPAS techniques

Purpose This paper aims to evaluate the internationalization of countries represented in the MSCI Emerging Markets Index. The evaluation considers high-technology product imports, foreign direct investments, research and development expenditures, patent and industrial design applications, exports and gross domestic product (GDP) data, representing production. Design/methodology/approach This paper uses the Step-Wise Weight Assessment Ratio Analysis (SWARA) method to assess and rank the criteria for evaluating emerging markets. Four academics who are authorities in the field of foreign trade were consulted to weigh the criteria. The Weighted Aggregated Sum Product Assessment (WASPAS) method, considered one of the most reliable and robust MCDM techniques, was then used to evaluate and rank the countries. Findings The findings obtained during the research process reveal the internationalization dynamics of these countries based on the indicators they possess. As a result, it is observed which countries achieve higher performance in the internationalization process based on relevant criteria. Originality/value This study is theoretically unique and valuable as it simultaneously offers the potential for development to macro-level international trade theories, such as the technologic deficit hypothesis, and meso-level internationalization theories, such as the Uppsala model. Additionally, integrated multiple criteria decision-making (MCDM) methods, which are not frequently used in cross-country studies, have been used, and the performance of emerging markets has been ranked. The findings obtained from this application distinguish the research from the existing literature by transforming it into a performance ranking rather than focusing on the antecedents or consequences of internationalization and their interactions.

Особенности торговой политики Китая: текущее состояние и направления развития

This article analyzes the current state, main instruments, and directions of development of China's trade policy in the context of the confrontation between the two global economic leaders, China and the USA. Understanding the meaning that China embeds in the concept of "trade policy" will enable Russia to perceive the logic of China's decisions and effectively build cooperation with China in the economic sphere and the related ones. The aim of this study is to identify the peculiarities of China's trade policy. To achieve this, the article examines the main indicators and instruments of China's trade policy, considers the current viewpoints of Chinese economists on trade policy, and analyzes activities concerning its implementation. Particular attention is given to the methods China uses to increase its influence in the global economy. The findings demonstrate that through its trade policy, China aims not only to enhance its economic power but also to shape new global rules and standards, reflecting its aspiration for leadership in international economic relations. China’s tariff system and the enforcement of non-tariff measures effectively protect its domestic market from foreign competition and encourage investments in the development of competitive high-technology production on the global market. The article shows that in China, the concept of "trade policy" encompasses a broader set of tools and measures than the commonly accepted tariff and non-tariff measures. Within its trade policy framework, China addresses a range of tasks, from the internationalization of the national currency to uniting developing countries and gaining priority in setting technical standards for goods and services. It is shown that China has been working in this direction for several decades, specifically since the early 2000s.

Do early adopters raise barriers to the commercial take-up of strategic high-technology products?

ABSTRACT The objective of this research is to investigate whether the behaviors and preferences of early adopters can potentially hinder the widespread proliferation of strategic high-technology industrial products. Through an extensive analysis of data collected from 1285 communication satellites, our findings reveal a significant pattern: when early adopters demonstrate a high demand for product diversity and elevated levels of innovation, this tends to delay the diffusion of these technologies to the mainstream commercial adopters. Early adopters undeniably play a pivotal role in directing the development pathways of strategic industries; however, their insistence on high innovation and diversity creates technological barriers. These barriers, in turn, slow down the mass adoption by commercial entities, which rely on more stable and universally accepted technologies. Our research enriches the existing body of diffusion literature by offering a fresh perspective, focusing on the dynamics of adopter orientation as opposed to the traditional producer-centric view. The results from our study highlight the urgent need for the implementation of targeted policy interventions and strategies aimed at fostering more equitable and widespread diffusion processes. This would ensure that the benefits of innovation are more evenly distributed across a broader range of user segments. Moreover, our findings suggest that innovation policies need to address systemic failures within the innovation ecosystem, such as the lack of a dominant design which can further facilitate diffusion. This insight is particularly beneficial for policy-makers, providing them with critical information to determine the optimal timing for transitioning from mission-oriented policies that are aimed at establishing new markets, to product diffusion policies focused on rectifying market failures.

Factor mismatch measurement of resource-based cities: Evidence from all-round optimization total factor productivity decomposition framework

In-depth analysis of the factors affecting the transformation of resource-based cities can provide effective support for the transformation and development of resource-dependent regions. How to comprehensively identify the factors affecting the transformation of resource-based cities is a complex problem. This study starts from the total factor productivity model and focuses on the two core basic factors that affect the transformation process of cities reliant on resources. Economic benefits and energy efficiency, respectively, from the economic benefit analysis framework and energy efficiency analysis framework for reconstruction, the two frameworks are combined with the use of distorted prices of resource elements to solve the problem that the synergistic effect of economic benefits and energy efficiency can not be measured. In order to quantitatively analyze the factors that affect the development efficiency of cities reliant on resources under the single or synergistic effect of the comprehensive framework, this study optimizes the directional distance function from three perspectives: exogenous weight, direction vector endogeneity, and absolute distance transformation relative distance, thus achieving an accurate assessment transformation efficiency of cities reliant on resources. Considering the impact of the new coronavirus epidemic, this study only selected the data of resource-based cities from 2003 to 2018, and found through model calculation that the impact on the transformation of cities reliant on resources: (1) Labor mismatch is mainly achieved by affecting the structure about the production of resource-based enterprises and industrial human resources; (2) Capital mismatch is mainly realized by affecting the production of resource-based enterprises; (3) Energy mismatch is mainly achieved by affecting high energy consumption enterprises and low production technology level enterprises. Further research shows that the main objects of these factors are the four parts of production technology level, energy consumption, total factor productivity and industrial structure. Through these contents, they affect environmental efficiency and deeply affect the transformation process of resource-based cities.

Occurrence of rare earth elements in umbilical cord serum and association with thyroid hormones and birth outcomes in newborns

Rare earth elements (REEs) are emerging contaminants that are increasingly used in high technology products. However, limited information is available regarding exposure to REEs and associated health effects in neonates. This study aimed to investigate the association between REE concentrations and thyroid hormone levels, as well as birth outcomes in 109 newborns in Beijing, China. We measured the concentrations of 16 REEs and thyroid hormones in umbilical cord serum. To assess the impact of exposure to individual REEs and REE mixtures on thyroid hormone levels and birth outcomes, we employed univariate linear regression, least absolute shrinkage and selection operator (LASSO), and weighted quantile sum (WQS) models. We detected 14 REEs at high rates (92.6%–100%), with yttrium exhibiting the highest median (interquartile range) concentration [43.94 (0.33–172.55) ng/mL], followed by scandium [3.64 (0.46–11.15) ng/mL]. Univariate analyses showed that per logarithmic (ln)-unit change of neodymium (Nd) and samarium (Sm) was associated with 0.039 [95% confidence interval (CI): 0.001, 0.007] and 0.031 (95% CI: 0.003, 0.060) increases in free thyroxine (FT4) levels, respectively. Moreover, 14 REEs exhibited significant associations with triiodothyronine (T3) levels, resulting in increases ranging from 0.066 to 0.307. Elevated concentrations of terbium (Tb) [per ln-unit change: −0.021 (95% CI: −0.041, −0.01)] and lutetium (Lu) [-0.023 (95% CI: −0.043, −0.002)] were inversely correlated with birth length in newborns. A further multiple exposure analysis employing the LASSO model identified Sm, Nd, Y, Sc, and Lu as critical factors influencing FT4 and T3 levels. Additionally, WQS analyses showed positive associations between exposure to a mixture of 14 REEs and FT4 (P = 0.046), T3 (P < 0.001), and birth length (P = 0.049). These findings suggest that in utero exposure to REEs might disrupt thyroid hormone homeostasis and impact intrauterine growth. Further studies are warranted to validate these findings and elucidate the underlying mechanisms.

A quantitative framework to support the decision between traditional, selective, and hybrid assembly

High-technological products often consist of several components, each with varying feature values that are critical to the assembly’s quality. As traditional manufacturing involves random selection of components, strict tolerance ranges are typically set to limit their feature variability, increasing scrap rates and lowering material efficiency. By smartly combining components based on their measured features, selective and hybrid assembly allow for more relaxed tolerances and more efficient use of raw materials without affecting the final product’s quality. However, the increased logistical complexity involves additional operational costs, complicating the choice for the best strategy.This study presents a decision-making model for selecting from traditional, selective, and hybrid assembly. The model is formulated by first defining the cost functions for the corresponding expected assembly cost, and then analytically determining the optimal choice boundaries between the three methods based on the involved process parameters. Estimation methods for the instance-specific process parameters are then discussed before validating the model with a fully elaborated case study.Results confirm the need for a quantitative framework to support an informed choice as this strongly depends on the involved parameter values. This study aims to pave the way towards more sustainable manufacturing by supporting practitioners to identify the conditions whereby intelligent assembly methods, in addition to allowing for scrap reduction and increased material efficiency, also represent the most cost-effective option.

Formation Mechanism of Deposits in Rotary Kiln during Steelmaking Dust Carbothermic Recycling

Rotary kiln has been widely used in hazardous waste treatment because of its strong adaptability to raw materials, high productivity, and simple processing technology. However, the formation of deposits reduces its performance period and profitability. This study characterized the deposit mineralogy and thermodynamically and experimentally investigated its formation mechanism. The results show that the main phases of the deposit are magnetite, monolithic iron, olivine, and yellow feldspar. They indicate that the deposit formation process was accompanied by the participation of alkaline and iron oxides. The intermediate product Ca2SiO4 can promote the generation of low melting point phases, such as CaFeSiO4 and Ca2Al2SiO7, which are the main phases of deposit materials. Additionally, the reduction intermediate product FeO facilitated the generation of a liquid ferrous mixture (Fe3O4-FeO and Fe3O4-FeO-Fe mixture), which in turn further promoted the growth of the initial deposit phase. The solid deposit formed and attached to the kiln inner wall, along with a decrease in temperature. These results are expected to provide an idea or approach for fundamentally solving the problem of deposits in the rotary kiln.

What Is the Level of Savings Needed for High-Technology Export Led Growth?

High-tech export-led growth is an important determinant in terms of having a milestone feature for the level of development of countries. Although the restrictions arise from recent literature, it is obvious that countries, like Korea with 35.7% the high-technology product export ratio and China with 31.3%, that have set a strategy on the high-technology export-led growth could have managed to achieve what they aimed to have. It is obvious that to make any investment in high-technology products, a certain level of savings should be achieved. The purpose of this paper is to determine the savings level that is necessary for achieving a high-technology export level for economic growth. The motivation arises from the willingness to shed light on policymakers on their way to achieve the high-technology export-led growth. Sixteen countries with high-technology product export levels higher than the World’s average are chosen in order to test the HXT export-led growth strategy at the initial stage. The period of 2007–2020 has been chosen due to the availability of the data. After achieving the result that there is a bidirectional casualty relationship between HTX and economic growth, by using the threshold regression model it is concluded that after achieving the savings level of 38.73%, countries can create an increase in their HTX level. And this is a very important output for policymakers for setting their strategies for the high-technology export-led growth. Hence the main aim of the policymakers is to increase welfare level of citizens, they should aim to reach 38.73% in order to achieve the high-technology export-led growth. After reaching this savings level they will have a chance to make investments for producing high-technology products by routing their savings to research and development and getting patents. In this way, they will have a chance to increase the welfare levels with the HTX-led growth strategy.

Multiscale analysis method and experiments for the transverse mechanical property of unidirectional fiber-reinforced composites

Carbon fiber-reinforced epoxy matrix composite laminates have been widely used in the case of advanced aero-engines, due to their high specific mechanical properties and mature production technology. In order to predict accurately the transverse mechanical properties of composites, this paper developed a multiscale analysis method which consists of three scales: At the microscale, an interfacial cohesive zone model is established based on atomic potential energy to describe the interface. At the mesoscale, a unit cell model is established to represent the fiber, matrix, and interface. At the macroscale, the homogenization method, failure criteria, and damage degradation models are utilized to predict transverse mechanical properties. The results of predictions are compared with experimental tests, and it is found that the maximum errors are less than 3%. Furthermore, the predicted damage evolution path aligns with the experimental results, thus validating the accuracy of the multiscale analysis method. By employing the multiscale analysis method, the effects of interfacial strength on the macroscopic transverse mechanical properties are analyzed. The simulation results indicate that: The interfacial strength has a more pronounced influence on the transverse strength and ultimate strain compared with the transverse modulus. Reducing the interfacial strength has a greater influence on the transverse modulus, strength, and ultimate strain than increasing the interfacial strength. The interfacial cohesive zone model can reflect the nonlinearity of epoxy matrix composite materials. Overall, the multiscale analysis method proves to be effective in accurately predicting the transverse mechanical properties of composites, and provides insights into the interfacial strength’s role in these properties.

Adsorption using Selective Adsorbents as An Effective Method for Rare Earth Elements Recovery–a Review

Rare Earth Elements (REEs) are strategically important for the industry, especially in the manufacture of high-technology products and components, such as electric batteries for energy storage, energy conversion, defense and security industry, electric vehicles, components on smartphones, laptops, liquid crystal display, and others. Generally, REEs are processed by liquid-liquid extraction. However, this process is very costly due to the use of chemicals and high operational costs, so the waste has the potential to pollute the environment. Currently, innovative separation/recovery techniques are continuously being developed for effective and environmentally friendly extraction of rare earths. The adsorption method using the optimal adsorbent is one of the most efficient methods for recovering REEs at low concentrations. This method offers several advantages, including high release effectiveness, ease of installation and operation, low maintenance costs, and reduced chemical consumption. This study reviews the mechanism, characterization, and several adsorbents from natural to synthetic materials, especially nanocomposite-based adsorbents for the recovery of rare earths. In addition, the discussion of several parameters that affect the adsorbent. However, the results of several methodological breakthroughs that have been carried out show how much further research is needed

Evolutionary Marketing Strategies for New High-Technology Product Sales: Effects of Customers’ Innovation Adoption

The level of product innovation is a prerequisite for high-technology product manufacturers to remain competitive. However, the customers of such products may behave differently in adopting innovative products, as proven by the innovation-adoption theories. Accordingly, the marketing strategy of distributing firms becomes critical in promoting the customers’ innovation adoption. Such distributors also face competitive markets where the rivals may choose dominant strategies. Regarding these issues, this article proposes a model for strategy adoption of competitive high-technology distributors, considering the impacts of external factors (including customers’ innovation-adoption behavior and rival's actions). To this end, an evolutionary game model is developed for the competitive distributors’ strategy adoption. Meanwhile, the impacts of customers’ behaviors are modeled based on the innovation-adoption theories and applied in the demand functions that are inputs for the evolutionary game model. If replacement and sales services are two alternative strategies that the competitive distributors can choose, this model determines which one is the evolutionary stable marketing strategy for them. The analyses demonstrated that the replacement service is the strategy that will finally be adopted by a plethora of distributors in the long run. The results shed light on the determination of marketing strategies.

Cathode Active Material Synthesis and Battery Performance Tests for Li-Ion Batteries Obtained from Domestic Raw Materials: A Special Case Study from Ore to Battery

The energy requirement brought by technological developments from the past to the present evolves depending on the society's desire to be mobile, which is increasing day by day. Many technological devices such as electrical vehicles, smart phones, computers, drones, cameras meet the required energy from rechargeable lithium-ion batteries. However, the increasing world population and the increasing specifications of the technological devices developed in parallel with the per capita energy consumption by making the raw material resources needed for the production of these technological devices even more important. Nickel, cobalt and manganese compounds, which are the main raw materials used in the cathode production of NMC type lithium-ion batteries, are among these elements of strategic and critical importance, and the production of these chemicals in appropriate quality is of great importance for the industrial development of lithium-ion-based domestic battery technologies in each country. Meta Nikel Kobalt A.Ş., is the first and the only industrially scaled nickel-cobalt plant using HPAL technology in northern hemisphere at . In Gördes plant, nickel-cobalt-manganese hydroxide intermediate product concentrate (MHP) is produced from low grade Gördes lateritic ore following the unit operations of ore preparation, mineral processing, high pressure acid leaching, neutralization and precipitation and is currently completely exported to overseas. However, due to the responsibility of transforming domestic resources to high value-added technological products and obtaining value-added products, research in this field has been regarded and the necessary technological infrastructure and specific knowledge have been created. Within the scope of this project, precious metals in the MHP intermediate product obtained from Gördes lateritic ore were leached and valuable elements are taken to the liquid phase and crystallized after further purification processes such as solvent extraction and ion exchange. As a result, metal salts with purity up to 99.99% were obtained. The obtained nickel, cobalt and manganese sulphate salts were precipitated together with the developed co-precipitation process to obtain precursor in the form of NMC 622. After that, the precursor is treated with lithium and the cathode active material (CAM) is obtained by going through various heat treatments by systematically designed test campaign. The coin cell made with the CAM obtained from domestic raw materials showed a capacity of 184.55 mAh/g at 0.1C. It showed a capacity of 170.58 mAh/g in the first cycle and 157.45 mAh/g in the 50th cycle at 0.5 C, and the capacity conservation was calculated as 92.3% after 50 cycles at 0.5 C. The CAM obtained in the pilot-scale studies carried out according to the lab-scale developed process and sent to for making pouch type battery. In the 10 Ah capacity cells of the produced pouch type, 82% capacity conversation has been achieved as a result of 1000 cycles at a charge/discharge rate of 0.5 C at 100% CoC(Dept of Discharge) in the voltage range of 3-4.15V. Figure 1

Remediation of arsenic-contaminated soil using nanoscale schwertmannite synthesized by persulfate oxidation with carboxymethyl cellulose stabilization

Schwertmannite (SCH) is a promising material for adsorbing inorganic arsenic (As). We synthesized SCH nanoparticles (nano-SCH) via a modified chemical oxidation method and investigated the application of nano-SCH for the remediation of As-contaminated soils. The production of nano-SCH was successfully prepared using the persulfate oxidation method with carboxymethyl cellulose stabilization. The spherical structure of the nano-SCH particles had an average hydrodynamic diameter of 296 nm with high specific surface areas (108.9 m2/g). Compared with SCH synthesized via the H2O2 oxidation method, the percentage of Fe3+ precipitation in nano-SCH synthesis increased from 63.2% to 84.1%. The inorganic As adsorption capacity of nano-SCH improved by 2.27 times at solution pH = 6. After remediation of heavily As-contaminated soils by using 5% nano-SCH, the leachability of inorganic As rapidly decreased to 0.01% in 30 d. Correspondingly, the immobilization efficiencies of inorganic As in soil reached >99.9%. The inorganic As fractions in treated soil shifted from specifically and nonspecifically bound forms to amorphous and crystalline hydrous oxide-bound fractions. After treatment with 5% nano-SCH for 60 d, soil pH slightly decreased from 5.47 to 4.94; by contrast, soil organic matter content increased by 20.9%. Simultaneously, dehydrogenase concentration in soil decreased by 22.4%–34.7% during the remediation process. These changes in soil properties and As immobilization jointly decreased microbial activity and initiated the re-establishment of bacterial communities in the soil. In summary, this study presents a novel and high-productivity technology for nano-SCH synthesis and confirms the high As immobilization effectiveness of nano-SCH in the remediation of As-contaminated soils.

Productivity convergence in international trade: The role of industrial-based policies

The Prebisch-Singer hypothesis implies divergence in the terms of trade between developing and developed countries but does not eliminate the possibility of convergence if productivity in developing countries’ exports sufficiently improves. This study constructs a new and unique export sophistication dataset for the productivity of high-technology export products to examine convergence behavior of developed and emerging market countries. Relative and weak σ-convergence tests reveal overall productivity divergence in international trade. However, there are convergence clubs whereby income, R&D expenditures, foreign direct investment, and educational expenditures yield similar effects on the convergence club formation in both developed and emerging market countries.

Financial Statement Analysis Based on Harvard Analysis Framework Taking Apple lnc. as an Example

In recent years, the high-technology products have become the most important tools which can make the daily life more convenient. With the developments of the current technology level, in the high-technology industry, there are more and more companies and the competition become more and more intensive. Therefore, for the companies, it is important to analyze companies financial statement through the essential data in the financial statements and the overall environment of the industries. The comprehensive financial statement analysis can help the companies to identify their competitive advantages and adopt the favorable strategies. By selecting Apple lnc. as the subject, this research, based on Harvard analysis framework, provides a comprehensive analysis of Apple's financial situation from strategic, accounting, financial and prospective these four dimensions. In the first part, the background and significance of this paper, and a review of the relevant literature are presented. And in the second part, this research focuses on the theoretical framework of the Harvard framework. The third part, the focus of this research, is about the financial statement analysis of Apple. The last part, is about the conclusion and shortcomings of this research. Through the analysis, this research can help to identify the financial and strategic situation of Apple.

Does corporate income tax reduction prompt firm export concentration?

Analyzing the impact of changes in corporate income tax policy on firm exports provides a critical assessment of the effectiveness of tax policies in stimulating export growth. It offers insights into the influence of tax policies on intra-firm resource allocation efficiency. However, there is limited attention in the literature devoted to examining firms’ export responses to these tax policy shifts, often overlooking the underlying mechanisms. This study investigates the causal relationship between reduction in corporate income tax rate and adjustment in export structure, employing a difference-in-differences approach and drawing on data from Chinese manufacturing firms between 2000 and 2013. Our findings indicate that China’s corporate income tax reform in 2008 heightened the concentration of firms’ export products by enhancing labor productivity and facilitating the accumulation of fixed assets. Additionally, this tax reduction expanded the range of exported products and increased the proportion of firms’ core and high-technological products.

Demand Projection of Pulses in India

The paper attempted to make the demand projection of pulses in India. Though; pulses production and productivity have increased over the years, the country still has to import pulses to meet the demand of its growing population. The study is based on the NSSO data of the last six rounds. The three-stage demand model was used for computing the elasticities of pulses. Demand was projected using income and population growth data, while 2011 NSS round data was used as the base year. The study revealed that the consumption and expenditure of pulses increased over the years. The positive expenditure elasticity of pulses indicated a positive relationship between income and pulse consumption. The own price elasticity of pulses was negative, indicating that the pulses were highly responsive to their own prices. The demand for pulses is projected to increase over the years. The main reason for these increases was positive elasticity, increasing population, and higher projected GDP. It implied that production needs to be improved to achieve self-sufficiency. It is suggested to use cost reduction and high production technology so the prices should be stable in future and demand also fulfilled.

Opportunity of the future: hydrogen as fuel and feedstock

Low-emission hydrogen is emerging as an integral building block for the decarbonisation of the global economy, serving as a complementary emission reduction solution to direct electrification and the use of other low emission technologies such as bioenergy. Presently, hydrogen is a key global commodity used within the production of chemicals including ammonia and for refining activities. These existing uses offer an initial demand market for low-emission hydrogen as a replacement for the high-emitting alternative. Furthermore, new applications for low-emission hydrogen are emerging within hard-to-abate industries where other decarbonisation solutions are less technically or commercially viable or have constrained feedstocks. These applications include as an input for steel production and as a fuel for the transport industry, particularly for heavy-duty long-haul road transport as well as the use of hydrogen-derivatives within the maritime and aviation industries. However, for a low-emission hydrogen industry to develop, the disconnect between consumer and producer expectations, high production and end-use technology costs and regulatory challenges must be overcome. Important mechanisms to achieve this include the implementation of targets and mandates for low-emission hydrogen production and uptake, facilitation of product premiums by industry, targeted public funding and financing and revenue support mechanisms.

Impact of imports from China on Indian manufacturing performance: an analysis of trade competitiveness

PurposeThe focus of this paper is to provide an assessment of the impact of imports from China on Indian manufacturing and capture the multifarious dimensions of India–China bilateral trade flows. By examining the comparative disadvantage imports (RCA&lt;1), the paper critically examines their significance on India's industry output and performance and underlines factors beyond trade competitiveness.Design/methodology/approachFor examining the impact of India's manufacturing imports from China on industry performance, four stages of analysis is adopted. First, the imports with RCA &lt;1 have been identified. For these, BRCA was also computed. Second, trends in industry performance associated with high imports from China. Third, for estimating the impact of imports on industry output, augmented production function was specified and estimated with imports from China as a potential determinant. And fourth, comparison of industry performance between India and China.FindingsThe impact of imports from China on industry output is positive and significant. A 1% increase/decrease in the share of China in world imports will result in output increasing by 0.31%. The rise in imports from China seems to be on account of non-availability of necessary intermediate and capital goods domestically, thereby making these imports critical and complementary for production. This negates the threat perception of imports from China.Research limitations/implicationsThe paper recognizes the need for understanding the firm heterogeneity in import decisions and R&amp;D intensity of imports. Across industries, the drivers for firms' decisions to import are “learning by importing’ and “self-selection” (Camino-Magro et al., 2020). Also, another important dimension at the firm-level analysis is the elasticity of substitution between foreign and domestic inputs. If the elasticity of substitution is low then high import barriers will lead to reduction of domestic output. These firm-level issues are important for effective policy interventions.Practical implicationsOne, the inward looking focus of the industry which is exhibited in low export intensity will not provide the necessary impetus to propel the manufacturing sector to a higher technology frontier and translate the productivity gains to export competitiveness. Two, unless the domestic manufacturing is propelled from the current low/medium technology to high technology products, the current policy thrust on “self-reliance” cannot be realized.Originality/valueAnalysis is based on manufacturing imports with RCA&lt;1 from China thereby underlining factors beyond trade competitiveness not covered by RCA methodology. Complementing the quantitative analysis with economic policy developments in China and India and contrasting the same has provided insights into the real factors determining India–China bilateral trade.

ANALYSIS OF THE RELATIONSHIP BETWEEN HIGH-TECH PRODUCT IMPORTS AND CURRENT ACCOUNT DEFICIT IN THE TURKISH ECONOMY

The aim of this study is to explain how the current account balance of the Turkish economy is affected by high technology product imports and this trade within the framework of causality analysis. One of the most important factors affecting the current account balance of a country is the import item. As a result of the lower export revenues of the country in return for the imports, the current account balance is adversely affected. The factor that provides the highest return in the production process of the country is the production of high-tech products. While some countries are at the top in the production of high-tech products, others are in the position of importers. Countries that are importers of high-tech products generally have current account deficit problems. However, all countries are trying to build their production structures to produce high-tech products. In this study, the relationship between high technology product imports and current account deficit in the Turkish economy was tested with Granger Causality Analysis. The current account deficit data obtained from the CBRT and the import level of high technology products obtained from TURKSTAT are used monthly between 2013-2021. As a result of the analysis carried out, no causal relationship could be determined between the import of high technology products and the current account deficit.