No abstract

During the last two decades, Turkey implemented a number of structural adjustment programmes, and changed the economic structural priorities from agriculture to manufacturing sectors. However, agricultural sector has still remained as the most important sector in terms of employing almost 29.5% of total employment in the economy. Despite this situation share of agricultural production in total value added has drastically declined. This research aims to enlighten changing role of agricultural sector in Turkish economy. In doing so, we employ inputoutput model, in which sectoral inter-linkages can be de¯ned. Our research uses input-output tables from 1968 to 2002 and analyzes the importance of agricultural sector basing upon the forward and backward linkages calculated under di®erent hypothetical cases. Therefore, we can examine the changes in total production in the economy. Through such a sensitivity analyses, we are able to investigate the extent of which other sectors rely on the production of the agricultural sector.

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The informal social networks are one of the prominent factors in the labor market decisions both for the supply and demand side. Particularly, in developing countries, like Turkey, these informal networks have an influence on the labor market. However, even the existence of this issue, the impact of informal social networks has not been argued sufficiently for the Turkish case. In this respect, this study advances existing researches, by implementing the quantile regression method to reveal the impact of the informal social networks. The quantile regression analysis reveals the impacts of the different quantiles of wages. The Household Labor Force Survey (HLFS) is utilized for 2004-2016 period. The findings indicate that being recruited by social contacts has negative impact on wage levels and in consequence, aggregate productivity is decreased from low quality of labor force and the low return to the firm.

No abstract