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The Global Value Chain (GVC) is an essential aspect of sustainable economic growth and environmental quality in countries that participate in it. Therefore, comprehending the relationship between GVC and economic growth and carbon emissions is critical to achieving global climate neutrality targets. However, there is a paucity of knowledge regarding the impacts of disaggregated levels of GVC on economic growth and carbon emissions in countries with different income levels. In this study, we utilized the SYS-GMM model to explore the relationships between backward and forward GVCs and the economic growth and carbon emissions of 42 lower-middle, 36 middle-upper, and 48 high-income countries using data from 1995 to 2018. Our key findings suggest that forward GVC significantly increases economic growth and reduces CO2 emissions. Conversely, backward GVC reduces the economic growth and CO2 emissions of high-income countries. We also found that upper-middle-income economies can enhance their economic growth and reduce CO2 emissions by increasing their backward GVC. In contrast, lower-middle-income economies can increase their economic growth by participating in both forward and backward GVCs. However, higher levels of participation in both GVC components result in increased CO2 emissions. Our findings emphasize the importance of considering income levels when analysing the impact of GVC participation on economic growth and environmental sustainability. Overall, the relationship between economic growth and CO2 emissions with backward and forward GVCs varies significantly across country categories.

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Based on the matching of the database of China Industry Business Performance and China Customs Trade from 2000 to 2013, this paper constructs the digital product import index, and adopts the method of panel data modeling to systematically investigate the impact and mechanism of digital product import on the domestic value-added rate of Chinese enterprises' export from the theoretical and empirical aspects. The research finds that the import of digital products significantly promotes the improvement of the domestic value-added rate of enterprises' export, and the core conclusion is still valid after considering the endogeneity of variables, changing the measurement index and estimation method. The mechanism test finds that the import of digital products improves the domestic value-added rate of enterprises' export through two channels: cost markup and relative price. In addition, the heterogeneity test finds that the import of digital products has a stronger effect on the improvement of the domestic value-added rate of enterprises' export in non-export enterprises, pure general trading enterprises, foreign-funded enterprises, labor-intensive enterprises and enterprises in the eastern region.

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This study examines the challenges Pakistani farmers face in adopting global good agricultural practices (GGAP) and highlights the limitations in infrastructure and cost-based clauses. A questionnaire based on GGAP's fruit and vegetable module version 5.0 was developed and validated by the Department of Environmental Sciences, Government College University, Faisalabad. This was a survey-based study of 15 farmers divided into 5 groups according to their annual farm turnover. The findings of the study indicated that, although the basic paperwork requirements of GGAP were implementable, clauses related to capital investment and technical record-keeping were not. Results showed that 90-100% of farmers considered risk assessments, training, and documentation on their farms. However, 42-56% of clauses related to record-keeping, installation, visual presentation, and infrastructure development, and 24-37% of clauses related to external testing, health, safety, and hygiene were declared not implementable. The study revealed a need for adapting GGAP standards to Pakistan's unique agricultural conditions, suggesting the development of localized standards for more practical implementation. The study's findings highlight crucial insights for policymakers and stakeholders in the agriculture sector and suggest the need for target strategies to overcome implementation barriers and optimize the adaptation of Global GAP in Pakistan that would help to increase exports of agricultural commodities.

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With the increasing fragmentation of global production, China's participation in cross-border production sharing activities has had a considerable impact on the nation's economy and carbon dioxide (CO2) emissions. This study applied the Tapio model to quantitatively evaluate the decoupling between CO2 emissions and economic growth in China, dividing the decoupling index based on global value chains (GVCs) and domestic production within the IO framework, and introducing structural decomposition analysis (SDA) to analyze the GVC-related factors to the decoupling. The relevant research results are fourfold. (1) From 2000 to 2018, China achieved weak decoupling between emissions and economic growth. Domestic and GVC effects each had a negative impact on the decoupling; however, after 2008, the GVC effect had a promotional effect and the negative domestic effect declined. (2) Emission intensity was the primary factor promoting decoupling through domestic and GVC effects, while the scale of final demand was the main hindrance. And the negative effects of GVC-related factors declined following the economic crisis. (3) The regional and sectoral structures of GVC production (58.44 % and 56.08 %) had promotional roles in the changes in GVC effects, while GVC production linkages (-20.19 %) had hindering effects. Various factors contributed to the hindering effect from the 2008 to 2011 index, whereas from the 2011 to 2018 index, all factors contributed to the promotional effect. (4) From 2000 to 2018, the average annual global value chain effect promoted the low-carbon development of China's labor-intensive and knowledge-based manufacturing. In order for GVCs to play a positive role in decoupling, China should promote trade facilitation through international platforms, support the advancement of production technology, reasonably guide China's industries to participate in the regional and industrial links of GVCs, and develop strategic emerging industries.

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To enhance the international division of labor of developing countries and scientifically respond to the risks and conflicts in the network system, it is important to examine the evolutionary characteristics of the global value-added trade network, simulate the impact of risk shocks, and propose corresponding measures. Based on UNCTAD-Eora value-added trade data, this paper measured and evaluated the evolution characteristics of the global value-added trade network from 2003 to 2018 using the social network analysis and value-added decomposition methods. Then we analyze the impact of risk shocks on the evolution of the trade network using the bootstrap percolation model, building global trade networks and proposing countermeasures. The results show that the global value-added trade network has formed a complex structure and structurally stable distribution pattern, with Germany, China, and the U.S. as the core and the most crucial supports. Among which, China's core position is mainly due to the rapid rise in its export center status. The trade benefits of the three core countries are both competitive and complementary along the "One Belt and One Road". Furthermore, simulations of bootstrap percolation model reveals that the adoption of trade protection policies (caused by poor institutional quality) by different countries will spread and diffuse non-linearly in the network, and the impacts triggered by low-centered countries are comparatively more widespread. By improving defense capabilities and changing the network structure, the "cascading" impacts of trade policy uncertainty can be reduced.

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Using the value-added method in the global input-output framework, embedded carbon transfers between economies are measured. Then, the international embedded carbon network (IECN) models are constructed and analyzed to reveal the real pattern of the IECN. Influential factors of the IECN are further explored with Quadratic Assignment Procedure (QAP). The main findings are as follows: first, the IECN has the characteristics of small world and scale-free. Developed economies led by the USA have high centrality indicators and always occupy the core position in the network; the network position of China and India has risen significantly with different network characteristics. Second, the subgroup relationships of the carbon network implied by international trade are becoming more and more complex and diverse, economies' participation in the global carbon chain is gradually increasing, and the number of edge nodes are decreasing. Third, the results of QAP analysis show that in addition to the negative impact of geographical distance on embedded carbon transfers between economies, inter-country trade agreement relations, differences in industrial structure, energy intensity, environmental regulation, economic size, and population size have a positive impact on embedded carbon transfers between economies. These findings can provide important practice implications for the global carbon neutrality.

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The global value chain for shea has witnessed major transformations in the last two decades. This study was aimed at providing a detailed understanding of the structure of the shea value chain in Ghana. Data were collected primarily from primary source and secondary sources. A total of 820 upstream actors, 20 aggregators, 2 processing companies and other experts were interviewed using both closed-ended and open-ended questionnaires to gather qualitative and quantitative data. The study employed the value chain framework to analyse the structure of the shea value chain in Ghana. Data analysis was primarily descriptive in nature. A value chain map, schematic diagram, and flow charts were generated to show the linkages between actors and the flow of resources, materials, products, information, and funds. The results show that the shea value chain is highly gendered, with women at the base of the chain, working as shea kernel producers and processors of crude shea butter, using mainly traditional methods, hence output is sub-optimal. The mid-stream actors were all males, whose main function involves aggregating shea kernels across several communities for industrial processors and export companies. Processing companies, using mechanised methods, process and export several derivatives of shea (shea grits, shea butter, stearin, and olein) to mainly to high-end markets in the E.U and Asia. Though female participation in the shea global value chain is prominent, their output is way too low at the current level to make significant impact. Policy focus must be on supporting upstream actors through the provision of improved processing facilities, community infrastructure, and skills training to enhance the capacity of upstream actors to improve their performance.

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A vast literature has examined the empirical link between gross exports and total carbon emissions for different country groups. However, countries' increasing participation in global value chains (GVCs) challenges this traditional approach since the gross measures neglect trade-embodied carbon emissions and intermediates-driven value-added trade. Therefore, this study scrutinizes how backward participation (foreign contents in domestic exports) and forward participation (domestic contents in foreign exports) in GVCs affect per capita net exports of trade-embodied carbon dioxide emissions. The study adopts input-output accounting and value-added decomposition framework for Group of Seven (G7) and Emerging Seven (E7) countries over the 1995-2018 period. (i) Pre-estimation analyses reveal that the net carbon importer G7 group had a comparative advantage in high-tech exports and a lower export product concentration level, while the net carbon exporter E7 group had a comparative advantage in resource-intensive exports and a higher export product concentration level, albeit significant within-group heterogeneities. (ii) The augmented mean group estimates reveal that increasing backward participation raises net carbon exports for both G7 and E7. The forward participation-net carbon exports nexus is negative for G7 but positive for E7. (iii) While economic growth reduces net carbon exports in both groups, the effects of comparative advantages in resource-intensive and high-tech exports differ. Practitioners should be aware of the GVCs-driven carbon circle when assessing decarbonization performances and obligations of countries.

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For its promise in enhancing sustainability, the global value chain (GVC) has grown in relevance and sparked many studies. Due to different value activities in multiple countries and industry clusters, the competition and cooperation among value chains have attracted the considerable attention of business leaders and academicians worldwide. GVC-related sustainability research is a niche area despite its widespread presence in the literature. To bridge the gap, we use scientometric analysis in this paper, examining the corpus of 753 articles published in Web of Science journals from 2001 till 2021. This review illuminates the research performance constituents (e.g., most prolific authors, nations, institutions, and journals), the themes and issues that underpin the fields' intellectual structure, and transforming discoveries. GVC depends on nine basic clusters for sustainability research (i.e., global value chain participation, gendered global production network, repositioning organisational dynamics, labour stands, learning opportunities, Internet era). Future studies can be conducted to generate new knowledge across ten thematic (based on keywords) clusters (i.e., market liberalisation, trade pollution nexus, value chain dynamics, global value chain reconfiguration, non-governmental organisation, multipolar governance). A model that encompasses current knowledge of the global value chain for sustainability is developed, and avenues for future research are provided.

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The global value chain has introduced profound changes in international trade, economic development, and technology progress as well as greenhouse gas emissions worldwide. This paper investigated the impact of the global value chain and technological innovation on greenhouse gas emissions by introducing a partially linear functional-coefficient model based on panel data of 15 industrial sectors in China from 2000 to 2020. Moreover, the greenhouse gas emission trends of China's industrial sectors from 2024 to 2035 were predicted using the autoregressive integrated moving average model. The results showed that (1) Greenhouse gas emissions were affected negatively by global value chain position and independent innovation. Nevertheless, foreign innovation had the opposite effect. (2) The results of the partially linear functional-coefficient model implied that the inhibitory effect of independent innovation on GHG emissions decreased with an improvement in the global value chain position. (3) The positive effect of foreign innovation on greenhouse gas emissions increased and then, decreased as the global value chain position improved. (4) The prediction results indicated that greenhouse gas emissions will continue on an upward trend from 2024 to 2035, while industrial carbon dioxide emissions should peak at 10.21 Gt in 2028. This carbon-peaking goal would be achieved in China's industrial sector by actively improving the global value chain position. Addressing these issues will enable China to take full advantage of the development opportunities of participating in the global value chain.

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Stakeholder awareness of social sustainability issues is growing, but few recognize what motivates companies to implement social sustainability in their supply chain management or return on investment in developing countries, where cultural norms might vary widely. We address this question by broadening stakeholder and institutional perspectives to investigate how customers, sustainability culture, management, and external stakeholders influence companies' acceptance of social sustainability in their supply chains. We collected information on 356 apparel and footwear manufacturers from 5 South Asian countries that sell to customers in Western Europe and North America. Our findings highlight the interdependence of organizational and institutional structures and define the boundaries of GVC governance mechanisms within a social sustainability framework. Our research shows that the success of examining social sustainability interventions applied by leading firms or the effects of collaboration-based global value chains depend on the supplier's local institutional framework. Social sustainability organizational practices influence supplier perceptions and responses to key corporate needs in the supplier's country. We demonstrate that GVC governance models are most conducive to suppliers' social sustainability implementation when contextualized with the local institutional needs for social sustainability in the supplier's country.

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Based on the EORA input-output tables from 2006 to 2016, this paper divided 189 countries in the world into three economies (China, the USA, and other countries) and used the hypothetical extraction method to calculate the virtual water trade volume of the three economies in the Sino-US bilateral trade. Combining with the analysis of the global value chain, the following conclusions were drawn: (1) the virtual water trade volume exported by China and the USA showed an overall increasing trend. The virtual water trade volume exported by the USA was far less than that of China, but more virtual water was transferred through trade. (2) Compared with intermediate products, China's virtual water exports of final products were larger, but the USA was the opposite. (3) Among the three major industrial sectors, the secondary sector was the largest virtual water export sector in China, but it was the primary sector in the USA that had the largest volume of. (4) Bilateral trade had brought environmental disadvantages to China, but this situation was gradually improving.

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In order to tackle increasingly serious environmental problems, China has been promoting the development of a green economy and guiding the green transformation of various regions and industries through environmental regulation in recent years. By participating in international trade, Hebei Province has been embedded in the global value chain. However, Hebei's involvement in the high-energy-consuming and polluting manufacturing sector and its lower position in the global value chain have led to serious environmental issues. In practice, the government has promulgated environmental regulations to restrict economic activities of enterprises. What role does environmental regulation play in Hebei's manufacturing industry's participation in the global value chain? In order to explore the impact of environmental regulation on Hebei's manufacturing industry in the global value chain, this paper constructs a fixed-effect econometric model based on the panel data of the embedding level of the value chain of 12 manufacturing sectors in Hebei Province. The research results show that: first, the R & D capacity of the manufacturing industry in Hebei Province still needs to be improved. Second, environmental regulation has promoted the global value chain position of Hebei's 12 manufacturing sectors. Third, environmental regulation will show obvious heterogeneity to manufacturing industries with different capital intensities and different pollution levels. The impact of environmental regulation on the manufacturing industry with different intensities is different. Therefore, the government should formulate targeted environmental regulation to promote the position of Hebei's manufacturing industry in the global value chain, such as further improving environmental regulation and increasing the intensity of environmental regulation and increasing the investment of human capital, and cultivating innovative talents.

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A new route perspective measure based on the global value chain (GVC) distinguishes the embodied emission transfer destinations while concurrently considering the transfer process and GVC embedding position. This study applies this measure to reassess the characteristics of China's foreign trade embodied emissions and their impacts on global emissions. The results show that: (1) China's domestic embodied emission exports are mainly concentrated in manufacturing and dominated by final goods exports and simple GVC routes. China primarily imports foreign emissions via simple GVC routes. (2) The embodied emission intensity of China's exports is much higher than that of its imports, and China's expansion in imports indirectly promoted global emission reduction. (3) China's foreign trade increases global emissions with a waning trend, while GVC-related trade reduces global emissions. Additionally, it is feasible to reduce global emissions by adjusting China's bilateral trade structures with different countries. We conclude that China's GVC-related trade has increased, but exports through complex GVC tend to be the resource-input type. We emphasize that China needs to actively participate in globalization and upgrade its GVC to step off the low-end locking predicament in global production and cope with the multiple pressures of global and domestic emission reduction and stable development.

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Strengthening environmental regulation and adhering to the green as well as sustainable development of China's manufacturing industry has become an inevitable trend. Technological innovation leads to industrial transformation, and artificial intelligence becomes a new driving force for core competitiveness and value chain upgrading. Is there a link between environmental regulation, artificial intelligence, and the jump in global value chains? Does AI have a mediating effect? This paper draws the following conclusions through panel estimation: environmental regulation plays a positive role in global value chains, and artificial intelligence has improved the level of global value chains as well. Further analysis of the mediation effect of artificial intelligence finds that artificial intelligence replaces low-end labor, reduces labor costs for enterprises, and promotes the leap of the global value chain. The strengthening of environmental regulation has greatly improved the total factor productivity of enterprises, artificial intelligence has significantly improved production efficiency, and total factor productivity has shown a positive influence on the global value chain as well.

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Engagement in the global division of labor has greatly influenced China's economy and environment. With the multi-regional input-output (MRIO) framework, we calculate the global value chain (GVC) participation index of China's 16 manufacturing sectors. We also measure the green upgrade index of manufacturing sectors based on the super-efficiency epsilon-based measure (SEBM) and the Malmquist-Luenberger (ML) index. In addition, the effect of GVC participation on the green upgrade of manufacturing sectors is empirically tested with a fixed effects regression model for panel data. Results show that: (1) sectors that rank high in the forward linkage-based GVC participation index also tend to rank high in the backward linkage-based GVC participation index; (2) the ML index is greater than 1 in most years, indicating that the green upgrade of China's manufacturing sectors shows an uptrend; (3) for both forward and backward linkage, the rise of the GVC and complex GVC participation indexes significantly promotes the green upgrade of manufacturing sectors. Finally, GVC participation of China's manufacturing sectors promotes green upgrade mainly through green technology progress. The conclusions have empirical evidence and policy implications for the advancement to medium- and high-end GVC participation and the green transition of China's manufacturing sectors.

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This research asks: To what extent has America's reliance on the global supply network aggravated the country's public health and economic crisis; and how did the American government respond to supply chain weaknesses during the early years of the Covid-19 pandemic? This study first assesses important conceptual considerations that explain the expansion of global value chains and the growth of trade interdependencies among nations. Next, an analytical case study observes (1) America's supply chain vulnerability through three major waves of infection, (2) the difficulty to mend weaknesses in the supply linkages once the novel coronavirus spread globally and (3) American government's failures to both anticipate and respond to supply shortages, especially in the health sector. Trump administration's policies failed to ensure a reliable supply of simple personal protective equipment (PPE) for healthcare professionals and hospitals throughout the first three waves of infection. Moreover, state and federal governments' substantial reliance on large manufacturers who have established procurement relationship with government led to continuous nationwide supply shortages throughout 2020. The federal government's inability to engage small and medium manufacturers in the production of critical supplies of PPE and diagnostic tests deepened and prolonged the devastating impacts of the pandemic. Our case study demonstrates that the American government needs to rethink the country's substantial reliance on the global supply chain, and the specific requirements to boost domestic manufacturing capacity. The revitalisation of America's manufacturing ability and the local supply networks will boost the productive power of the nation, strengthen resiliency, reduce vulnerability in disruptive times and prepare the nation for future crises.

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As the first empirical study of the nonlinear effects of digital business on global value chains (GVC), we provide insight into the nonlinear effects of digital business on the global value chain (GVC) values. We employ four indicators, including the value of online selling, sales through E-commerce, and customer relationship management (CRM) usage, to capture the prevalence of digital business in the economy. By testing a sample of 25 European countries that have been analyzed using various econometric techniques over the period 2012-2019, our estimation results confirm that GVC values are a U-shaped function of digitalization. That is, an increase in digitalization pervasiveness initially induces more significant risks and uncertainties, hindering European countries from getting involved in or scale-up within the GVC. However, a rise in digitalization pervasiveness goes beyond a specific threshold, which facilitates GVC activities as more opportunities are created. Furthermore, our findings suggest that digital business contributes significantly to reducing the adverse influences of global uncertainty on the GVC values, while the marginal effects of digital business on GVC values become more pronounced in countries with the most advanced institutional structure.

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Green innovation is one of the most important approaches to prevent environmental pollution and foster sustainable development. Embedded in the global production networks, manufacturing firms have been found not only to be the main drivers of innovation but also the main polluters in developing countries. However, relatively few studies have systematically considered the effect of global value chain (GVC) participation on green innovation in the context of developing countries. By using a panel dataset of Chinese listed manufacturing firms, this study conducts panel data fixed-effect analyses and uses the instrumental variable two-stage least square model to investigate the effect of GVC participation on firms' green innovation performance. The results show that increased GVC participation leads to improved green innovation performance of Chinese firms. Meanwhile, further heterogeneity analyses show that the impact of GVC participation on green innovation is more pronounced for firms with greater financial constraints, state-owned firms and firms in labor- or pollution-intensive industries, located in the eastern regions of China. Therefore, this study sheds light on the implication that actively participating in GVC is the key to promoting sustainable growth when facing the need for transformation in developing countries.

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The Belt and Road Initiative (BRI) has aroused rich discussions about the possible increase in carbon dioxide emission under the arduous global carbon dioxide emission reduction task. Adopting the methods of input-output technique and complex network analysis, we first construct a fairer method to trace carbon dioxide emission transfer based on global value chains, then trace the source of carbon dioxide emission transfer to the Silk Roads countries with a long-term multiple regional input-output database. We find that, first, after the proposal of the BRI, the total direct carbon dioxide emissions of the Silk Roads countries and China's proportion of carbon dioxide emission transfer to the other Silk Roads countries have both declined. Second, the Silk Roads countries are generally the net receivers of carbon dioxide emission transfer, and the inflow is mainly distributed in Southeast Asian countries and core countries in other sub-regions. Then, the transfer of carbon dioxide emission accepted by the Silk Roads countries comes mostly from large developing countries, such as China, Russia, and India, and developed countries, such as the United States, Japan, and Germany. The products are mainly concentrated in energy and chemical industries, as well as heavy industries, such as mining and quarrying, and metal products. We suggest that, due to the high degree of spatial and industrial concentrations of carbon dioxide emission transfer, it is necessary to make targeted policies for these countries and industries to reduce these transfers.