Periodic Reporting for period 1 - INDLINK (Growth and Diversification in the Presence of Industry Linkages)
Reporting period: 2015-04-01 to 2017-03-31
Dr. Yıldırım embarked on such a study about understanding the economic growth and diversification process in the presence of many disaggregated and interacting industries, which are the building blocks of a country’s economy. Diversification at this detailed level is not the focus of the leading theories of growth or trade which focus on the relative contributions of core productive factors such as capital, labour, human capital and institutions and technological differences and, hence, the transformation cannot be easily predicted with these models. There is both theoretical and empirical gap in the field of economics to understand diversification and growth process and these questions have momentous societal importance.
This project investigates the industrial patterns of countries in the presence of linkages in four separate but complementary objectives. In the first objective, using the state-of-the art trade models, we show that the industry linkages indeed shape the evolution of comparative advantage and creates a structure. In the second objective, a new trade dataset is created and using this dataset the diversification pattern of countries are related to the country and product level quality measures. In the third objective, temporal aspects of industry spillovers are captured using Diebold-Yilmaz methodology and these spillovers are related to real and knowledge based networks. Separately, we also identified the ecosystem of a product, which facilitates a new product's emergence in a country, from the trade data and showed that it is an important predictor of diversification. Finally, in the fourth objective, effects of one specific type of spillover, namely the Input-Output linkages, on the trading decision and location choice of industries is explored.
In the second objective, we analyze the interaction between the country-level and product level quality indices and the diversification process. To do that, we first created a novel world trade dataset from the raw trade data. We take advantage of the fact that each trade transaction is, in theory, reported twice by the exporter and importing country which helps us estimate reliability of reporting. We implement this procedure to create databases of trade covering more than 50 years, and show how estimates of trade change for countries. Using this new dataset, we then analyzed whether the country level quality parameters have an effect on the export growth at the disaggregated product level. We showed that having higher years of schooling both sped up the overall growth and also helped countries capitalize on the nearby products. But we could not find consistent results when we used the Rule of Law, Democracy level and Control of Corruption. On the product quality side, having more products nearby a product resulted in an increase in the product quality.
In the third objective, using Diebold-Yılmaz methodology we show that the movements in the stock market indicate large amount of spillovers between industries. These spillovers are explained by the Marshallian externalities like input-output relationships, knowledge sharing and labor-pooling, especially during the epochs with no-crisis. Crisis change the fundamental interdependence between industries. This approach bridges the approaches used in the finance literature to industrial growth. We also analyzed the temporal changes in the exports of countries and defined the ecosystem of products, which consists of products facilitating to jump to a new product. We show that the ecosystem is an important predictor of diversification. Network properties of ecosystem reveal important determinants of diversification.
In the fourth objective, we incorporate the input-output linkages to the Ricardian models of trade. We recently witnessed the extreme fragmentation of the supply-chain and countries often push to move up the chain. We explicitly incorporate IO relationships into the trade models and observe that the inclusion of IO linkages forces non-trivial location choices of industries.
All these results will be published as academic papers in high-impact journals and presented in important conferences. There have been significant efforts to reach out to the public and policymakers.