rv_urv_nuts3_tr.dta

I present a new dataset for the related and unrelated variety at the provincial level in Turkey by employing Hidalgo, Klinger, Barabasi, and Hausmann's (2007) proximity approach following Boschma, Minondo, and Navarro (2012). I used province-level export data obtained from the Turkish Statistical Institute (TurkStat) classified according to the four-digit Standard International Trade Classification (SITC). Global proximity values for product groups, on the other hand, were calculated by using the International Trade Database at the Product Level (BACI) dataset. First, the HS classification of BACI has been converted to four-digit SITC (revision 3) by using Eurostat Metadata Server (RAMON) conversion tables to provide data compliance. In addition, to eliminate the noise resulting from the fluctuations in prices, exchange rates, and seasonality, especially in four-digit export data, Hidalgo (2021) recommends excluding countries that export less than 1 Billion dollars, countries with a population of less than 1 Million, and products with a global export value below 500 Million dollars from the sample. After the data cleaning process, we calculated global proximity values over 132 countries. Variables description iladi : Provinces rvi : Related Variety Index urvi : Unrelated Variety Index本研究构建了一套全新的土耳其省级层面相关多样化与非相关多样化数据集，研究遵循Boschma、Minondo与Navarro（2012）的研究范式，采用Hidalgo、Klinger、Barabasi及Hausmann（2007）提出的邻近性测算方法。 本研究使用土耳其统计署（Turkish Statistical Institute, TurkStat）提供的省级出口数据，该数据按照四位码标准国际贸易分类（Standard International Trade Classification, SITC）进行分类。而产品组的全球邻近性数值，则通过产品级国际贸易数据库（BACI）计算得到。 首先，为保障数据一致性，本研究借助欧盟统计局元数据服务器（RAMON）提供的转换表，将BACI数据集的海关编码协调制度（Harmonized System, HS）分类转换为四位码SITC（修订3版）。 此外，为消除价格、汇率波动及季节性因素引发的噪声，尤其针对四位码出口数据，Hidalgo（2021）建议将样本中出口额不足10亿美元的国家、人口不足100万的国家，以及全球出口额低于5亿美元的产品从样本中剔除。完成数据清洗流程后，本研究基于132个国家测算得到全球邻近性数值。 变量说明如下： iladi：省份（Provinces） rvi：相关多样化指数（Related Variety Index） urvi：非相关多样化指数（Unrelated Variety Index）