HighlightsThis paper explores the World Trade using the Network Analysis and introduces the reader to some of the techniques used to visualize, calculate and synthetically represent network trade data. The paper shows different visualizations of the network and describe its topological properties, producing and discussing some of the commonly used Network's statistics, and presenting some specific topics. All in all, this paper shows that Network Analysis is a useful tool to describe bilateral trade relations among countries when interdependence matters, and when trade relations are characterized by high dimensionality and strong heterogeneity. AbstractIn this paper we explore the BACI-CEPII database using Network Analysis. Starting from the visualization of the World Trade Network, we then define and describe the topology of the network, both in its binary version and in its weighted version, calculating and discussing some of the commonly used network's statistics. We finally discuss some specific topics that can be studied using Network Analysis and International Trade data, both at the aggregated and sectoral level. The analysis is done using multiple software (Stata, R, and Pajek). The scripts to replicate part of the analysis are included in the appendix, and can be used as an handson tutorial. Moreover,the World Trade Network local and global centrality measures, for the unweighted and the weighted version of the Network, calculated using the bilateral aggregate trade data for each country (178 in total) and each year (from 1995 to 2010,) can be downloaded from the CEPII webpage.JEL Classification: F10

The emergence of food and agriculture global value chains (GVCs) is challenging the way scholars look at trade data, as well as how policy makers establish their trade policies. The common perception is that Sub‐Saharan African (SSA) countries, unlike most Latin American and Asian countries, are not deeply integrated into global production networks. Consequently, it is believed that the border protection policies of the former may have a limited impact on GVC participation. This paper challenges this conventional knowledge in two ways. First, by decomposing bilateral gross export into its value added components, we show that the sectoral and bilateral SSA participation in GVC for food and agriculture is substantial. Second, we demonstrate that trade policies impact backward and forward value chain linkages. These results call for a refinement of trade policy priorities in SSA.

This work explores the relationship between exports, global value chains (GVCs)’ participation and position, and firms’ productivity. To this aim, we combine the most recent World Bank Enterprise Survey in Latin American and Caribbean (LAC) countries with the Organisation for Economic Co-operation and Development and World Trade Organization trade in value-added data. To explore the above relationship, we adopt an extended version of the standard Cobb-Douglas output function including indicators of export performance and GVCs. We control for heterogeneity among firms (by country, region, and industry), sample selection, firms’ characteristics, and reverse causality.\ud Our empirical outcomes confirm the presence of a positive relationship between participation in international activities and firm performance. They also show that both participation in GVCs and position within GVCs matter. These findings have strong policy implications and may help policymakers in choosing the best policy options to enhance the link between GVCs’ integration and firms’ productivity

HighlightsThis paper explores the World Trade using the Network Analysis and introduces the reader to some of the techniques used to visualize, calculate and synthetically represent network trade data. The paper shows different visualizations of the network and describe its topological properties, producing and discussing some of the commonly used Network's statistics, and presenting some specific topics. All in all, this paper shows that Network Analysis is a useful tool to describe bilateral trade relations among countries when interdependence matters, and when trade relations are characterized by high dimensionality and strong heterogeneity. AbstractIn this paper we explore the BACI-CEPII database using Network Analysis. Starting from the visualization of the World Trade Network, we then define and describe the topology of the network, both in its binary version and in its weighted version, calculating and discussing some of the commonly used network's statistics. We finally discuss some specific topics that can be studied using Network Analysis and International Trade data, both at the aggregated and sectoral level. The analysis is done using multiple software (Stata, R, and Pajek). The scripts to replicate part of the analysis are included in the appendix, and can be used as an handson tutorial. Moreover,the World Trade Network local and global centrality measures, for the unweighted and the weighted version of the Network, calculated using the bilateral aggregate trade data for each country (178 in total) and each year (from 1995 to 2010,) can be downloaded from the CEPII webpage.JEL Classification: F10

This work explores the relationship between energy efficiency, productivity and exporting for a sample of firms located in thirty Latin American and Caribbean (LAC) countries. This relationship has not been studied in depth although it is important and relevant to policymaking. We apply a standard constant returns to scale Cobb-Douglas production function with labor, capital, and knowledge expanded to exports and energy efficiency. We also investigate the relationship between energy efficiency and exporting and take heterogeneity by firms and industries into account. Firm-level data come from the national representative World Bank Enterprise Survey (WBES). Our empirical analysis finds heterogeneous results by firm size and industrial sector both in the relationship between energy efficiency and productivity and between energy efficiency and exporting. These outcomes are robust to different measures of energy efficiency and controlling for heterogeneity among countries and provinces. By providing for the first time an extensive investigation of energy intensity and firm performance for such a large sample of LAC countries, this work contributes to the lively debate on LAC energy efficiency and weak productivity. By adopting a broader productivity and international trade perspective, it opens the ground to a rethinking of the priorities of energy saving policies and their environmental impacts.