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The study evaluates the effects of GVC participation on firm productivity and profitability. Hence this study aims to find evidence whether there is a clear difference between the productivity and profitability effects of simple and complex backward and forward participations for Turkish firms.

The authors employ a firm level data from the Türkiye's both first and second top 500 industrial enterprises from 1993 to 2019. In addition, the authors calculate country-sector level both backward and forward GVC participation indices with their simple and complex sub-indices for each year from 1990 to 2015 from the Full Eora data of the Eora Global Supply Chain Database. The authors estimate the model with OLS and fixed effects. To understand the role of the 2008 global crisis, the authors also undertake estimations for the pre-crisis and post-crisis. The authors also divide the data by R&D intensity of sectors.

While backward GVC participation lowers both labor productivity and profitability growth, forward GVC participation promotes both. Moreover, simple and complex backward participation have similarly negative effects on productivity and profitability growth, simple and complex forward participation have the completely opposite effects though. The authors then provide substantial evidence for the differing effects of participation on productivity and profitability growth between pre-crisis and post-crisis periods. Interestingly, backward participation has a negative impact for both hi-tech and low-tech firms while forward participation boosts the productivity growth only for low-tech firms, probably due to the relatively more upstream position of low-tech firms.

To the best of the knowledge, no previous study has yet examined the profitability effects of GVC for firms. Second, in addition to overall backward and forward GVC participation rates, the authors also calculate and utilize simple and complex GVC measures in the estimations. Third, to reveal whether the global financial crisis leads to a shift in the productivity and profitability effects of GVCs, the authors separately run the regressions for the pre- and post-crisis periods. Fourth, the authors then investigate the argument that hi-tech sectors/firms could benefit more from joining GVCs compared to firms in low-tech technology sectors.

This study aims to analyze the relationship between global value chain (GVC) participation and poverty levels. Additionally, it investigates the impact of education levels, specifically analyzing literacy rates and tertiary education rates, on the correlation between GVC participation and poverty in Organization for Economic Co-operation and Development (OECD) and Association of Southeast Asian Nations (ASEAN) countries.

Fixed effect and random effect models will be employed to quantify the relationships between the dependent and independent variables. The Hausman test is applied to determine the appropriate estimator between fixed and random effects. Also, in the model, time-fixed effect or two-way fixed effect has been used to control for unobserved heterogeneity both across entities and over time in panel data analysis.

The findings demonstrate that engagement in GVCs presents a promising avenue for stimulating development, advancing income per capita growth and facilitating job creation. Notably, the results illuminate that the poverty-alleviating impacts of GVC participation are most conspicuous in nations boasting elevated levels of educational attainment among their populace.

This research aims to promote a better understanding of the connection between GVC participation and the level of poverty, with GVC participation decomposed into forward participation and backward participation.

The paper investigates the effects of global value chains (GVCs) and technological innovation on exports. The paper builds a new dataset from two database, the EORA and the OECD stan database. Using a pooled OLS and a two-stage quantile regression technique on a sample of 8 OECD countries, the results suggest that the effects of GVCs participation are heterogeneous across countries. We find that at the aggregate level, GVCs and forward participation are negatively associated with exports growth. However, we only find evidence of a positive effect of backward participation on exports in the case of France and Germany. At the disaggregated level, we find that: (a) an increase in GVCs participation in low technology intensive sectors is positively associated with exports’growth; (b) an increase in GVCs participation in high technology intensive sector is negatively correlated with exports’growth. The findings stress the importance of GVCs as a driving channel for subdue economic growth in low technological sectors.

This study has the following aims. First, it tries to clarify the relationship between global value chain (GVC) participation and innovation performance. To date, research generated mixed results. Secondly, it explores a novel way of investigating GVC participation by focusing on the sectoral level in which organizations operate using the concept of GVC embeddedness, which has not been investigated to date.

Data from two sources are combined. The European Company Survey of 2019 provides data about the innovation performance of organizations. These data include measures about production and process. At the sectoral level, these company-level data are combined with data from the Trade in Value Added from the Organization for Economic Cooperation and Development. In total, more than 20,000 companies were investigated, which operate in 15 sectors in 28 countries. This three-level structure is analysed using multilevel ordered probit analyses.

The results show that forward participation and backward participation at the sectoral level are positively related to product innovation and process innovation. The probability of not being engaged in innovation is reduced through GVC embeddedness. And, the probability of generating incremental and radical innovations (both regarding products and processes) increases if GVC participating at the sectoral level is higher.

This study is the first to relate sectoral GVC embeddedness to the innovation performance of organizations.

This study aims to investigate two issues: (1) a nexus between climate-related financial policies (CRFP) and global value chains (GVC) and (2) the government’s policies to help countries enhance the efficient use of CRFP in improving a country’s likelihood to participate in GVC.

To investigate the connection between GVC and CRFP, the authors incorporate that backward participation is measured using foreign value-added, while domestic value-added is used to measure forward participation, quantified as proportions of gross exports. The study analyses yield significant insights across a span of 20 developing countries and 26 developed countries over the period from 2010 to 2020.

Regarding the first issue, the authors affirm the presence of a linear link between GVC and CRFP, implying that involvement in CRFP is advantageous for both backward and forward participation. Furthermore, the authors identify long-term GVC and CRFP cointegration and confirm its long-term effects. Notably, the expression of a linear relationship between GVC and CRFP appears to be stronger in developing countries.

The study findings, together with previous research, highlight the importance of financial policies relating to climate change (CRFP) in the context of economic growth. Climate change’s consequences for financial stability and GVC highlight the importance of expanded policymakers and industry participation in tackling environmental concerns.

Regarding the second issue, the study findings suggest critical policy implications for authorities by highlighting the importance of financial stability and expanded policymakers in promoting countries' participation in GVC.

This paper investigates the link between GVC performance and CRFP, offering three significant advances to previous research. Moreover, as a rigorous analytical method, this study adopts a typical error model with panel correction that accounts for cross-sectional dependency and stationarity.

Drawing on the literature that has shown the prevalence of short-lived trade relationships, the purpose of this paper is to provide further understanding about this issue by exploring the impact of engaging in Global Value Chains (GVCs) on the chance of export survival at product-country level, paying special attention to the differences between advanced and developing countries. The authors also investigate whether the type of GVC participation (backward or forward) matters for export survival.

To capture to what extent a country’s exports are integrated in GVCs, the authors use the OECD Inter-Country Input-Output database to estimate value added incorporated in exports. Through the estimation of a discrete-time duration model, the authors explore the impact of engaging in GVCs on export survival using highly disaggregated trade data from the CEPII’s BACI database.

The findings endorse the hypothesis that deeper participation in GVCs is a key factor in explaining stability in trade relationships, mainly for developing countries where the trade flows are especially fragile. The authors also find different effects depending on the type of GVC involvement and on whether the value chain partners are advanced or developing.

The paper contributes to the literature by extending the understanding on the factors that promote the stability of exports, including among them, involvement on GVCs (and its forms) which is one of the most relevant factors to explain recent behavior of trade.

Despite the popularity of the entrepreneurial ecosystem (EE) concept, research on its value-adding activities receives less attention. Thus, in this article, the authors investigate the role of EEs in supporting global value chain (GVC) activities.

The authors employ the fuzzy-set qualitative comparative analysis (fsQCA) technique to identify practical configurations of EE’s framework and systemic conditions spurring GVC activities in 80 countries.

The findings suggest different configurations of EE`s framework and systemic conditions necessary for various GVC activities regarding input-output structure, geographical scope, upgrading, and forward and backward participation.

This study contributes to the extant literature by pioneering the EE approach to explaining GVC development. Moreover, the findings provide novel insights for understanding the EE – GVC interplay. As a result, the study offers a more nuanced understanding of how the EE supports GVC activities.

One of the most important economic processes in the world economy over the recent decades has been increasing fragmentation of international production that resulted in expansion of global value chains (GVCs). National economies started to get involved in GVCs in order to get value-added gains from this participation; Russia is not an exception. To analyze Russia’s GVCs participation, we need to adopt new statistical methodology based on input–output approach that allows estimating trade flows in terms of value added, including foreign and domestic value added as parts of gross exports. The author comes to the conclusion that Russia’s participation in GVCs was growing during the last decades mostly by forward participation connected with supply of oil and gas along GVC; moreover, Russia had net gains from this participation. Future trends in Russia’ involvement in GVCs can be described by two scenarios. The first one is based on expanding forward manufacturing participation in order to increase and diversify nonoil exports. This scenario is strongly supported by Russian Federation Ministry for Economic Development. The second scenario covers the continuation of mineral participation in GVCs that Russia implements till now. Both scenarios have their pro and contra. The author argues that the first scenario is better correlated with long-term economic interests and possibilities for sustainable development in Russia.

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.

This study examines the impact of China's trade and foreign direct investment (FDI) on Africa's global value chain (GVC) participation and economic upgrading.

The study covered 48 African countries, cutting across the western, eastern, central, southern and northern subregions to cover the heterogeneity of the continent. The study adopted feasible generalized least squares panel VAR-Granger causality Wald test and system generalized methods of moments techniques for estimation.

Overall, China's FDI to Africa and US-Africa trade have a linear relationship with Africa's GVC involvement and economic upgrading. The findings suggest that although China-Africa trade has a positive impact on GVC engagement and upgrading, the marginal effect decreases in the face of US-Africa and EU-Africa trade.

This study provides new evidence on the impact of China's FDI and trade on African economies' GVC participation and economic upgrading. To the best of the authors’ knowledge, this is the first study to empirically explore the effects of China's FDI and trade on Africa's GVC integration and economic upgrading as well as from the perspectives of backward and forward GVC participation. Furthermore, the study empirically examines whether the effects of Africa's economic cooperation with China relative to its GVC engagement differ from those of Europe (EU) and the US via a comparative regression.