Competitiveness at the Country-Sector Level: New Measures Based on Global Value Chains

Marczak, Martyna; Beißinger, Thomas

doi:10.2139/ssrn.3177374

Cited by 3 publications

(2 citation statements)

References 20 publications

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“…Regarding the elasticity, it has been documented that trade elasticities are smaller for the whole economy than at sector or product level (Costinot and Rodríguez‐Clare, 2014; Head and Mayer, 2014) and, therefore, estimates performed on aggregate data constrain sector elasticities and create a ‘heterogeneity bias’ (Imbs and Mejean, 2015). Regarding international comparative prices at the sector or product level, there is also abundant evidence that the exchange rates may vary significantly across sectors in bilateral relationships (Bems and Johnson, 2017; Dai and Xu, 2013; Gaulier et al, 2008; Marczak and Beissinger, 2018; Patel et al, 2019). The first observation, therefore, is that more work in both dimensions is needed to produce a more accurate measurement of NPCF.…”

Section: Resultsmentioning

confidence: 99%

Non‐Price Competitiveness Factors—A simple measure and implications for the five largest euro area countries

Xifré

2021

World Economy

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This paper obtains a versatile measure of non-price competitiveness factors (NPCF) based on a simple international trade model. Trade frictions are reinterpreted as the NPCF conditions (inferior product quality, suboptimal geographical and industry specialisation of exports and any other limitations of the production and exporting channels) that inhibit trade. The set-up is applied to the five largest euro area economies for the period 2000-2018. Over this period, NPCF have improved significantly in the Netherlands and Spain, mildly in Italy and Germany and mildly worsened inFrance. In all countries, the improvement in NPCF has been more intense and sustained in the first half of the period and more unstable in the second half. The set-up is also applied at the product level, considering four types of products depending on the stage of processing, rendering results which are similar across product types and aligned with those for the whole economy. The results suggest that the conventional North-South divide in the euro area might not be entirely applicable regarding NPCF.

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Section: Resultsmentioning

confidence: 99%

Non‐Price Competitiveness Factors—A simple measure and implications for the five largest euro area countries

Xifré

2021

World Economy

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“…Marczak and Beissinger [7]defined the real effective exchange rate (REER) is a weighted average exchange rate, which measures a country's competitiveness in the international market. Ba Shusong et al [8]believe that the REER to make up for the defects in the real exchange rate to reflect the external value of the national currency, can more objectively and comprehensively reflect a country's "bargaining power" in international trade.…”

Section: Literature Reviewmentioning

confidence: 99%

The Impact of Economic Policy Uncertainty on Real Effective Exchange Rate and Systemic Risks --Based on TVP-VAR Modeling

2024

AEMPS

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Today's international situation is complex and volatile, and the impact of economic policy uncertainty on systemic financial risk has attracted much attention. In this essay, the TVP-VAR model is used to investigate the mechanism of economic policy uncertainty on systemic financial risk and real effective exchange rate. It is found that its effect on both was characterized by time-varying and nonlinear, and the impact on systemic financial risk is mainly long-term, while the impact of real effective exchange rate is mainly short- and medium-term as long as. Meanwhile, the impact of economic policy uncertainty on systemic financial risk and real effective exchange rate under some specific risk events is more lasting.

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Evaluation of competitiveness power of fishing and aquaculture industry in Turkey

Yıldırım

Türkten

Ceyhan

2022

EgeJFAS

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There has been a significant lack of data on product and input markets, aquaculture consumption characteristics, production, distribution and marketing issues, and supply and value chain in Turkish fishing and aquaculture sectors. Therefore, the study examined the competitiveness of the Turkish aquaculture industry. Time series data belonging the time period of 1976-2020 gathered from Food and Agriculture Organization (FAO), World Trade Organization and Turkish Statistical Institute (TURKSTAT) were used in the study. In the research, the competitiveness of the Turkish fishing and aquaculture sector has been explored by using the Balassa index, total factor productivity and production costs. The research results show that the fisheries in Turkey are small-scale, technological level are insufficient and there are financial problems. Based on the revealed comparative advantage (RCA) values of the world and EU, which are 0.65 and 1.86, respectively, Turkey 's has competitive power over EU countries, while the reverse is the case for the world. Although fisheries supply chain has been established in Turkey, the value chain has not yet been fully established and activated. The study suggests increasing the efficiency in aquaculture production, having a strong interaction with the market during the production phase, having a high awareness of the price trends and consumer needs throughout the supply chain, using modern production and distribution technologies, and developing effective extension/education activities to reach the desired point in the Turkish aquaculture sector. Quality standards should be at the international level to increase export opportunities and competitiveness of Turkish aquaculture sector.

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Competitiveness at the Country-Sector Level: New Measures Based on Global Value Chains

Cited by 3 publications

References 20 publications

Non‐Price Competitiveness Factors—A simple measure and implications for the five largest euro area countries

Non‐Price Competitiveness Factors—A simple measure and implications for the five largest euro area countries

The Impact of Economic Policy Uncertainty on Real Effective Exchange Rate and Systemic Risks --Based on TVP-VAR Modeling

Evaluation of competitiveness power of fishing and aquaculture industry in Turkey

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