Regional Development Trap - Economic Complexity: NUTS-3 Turkey
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Following Diemer et al. (2022) we have calculated the regional development trap, DT1 and DT2, for provinces of Turkey. We also calculated two economic complexity metrics, ECI and EFI. For ECI, we used Hidalgo and Hausmann's (2009) and Hausmann et al.'s (2014) methodology. For EFI, we followed Tacchella et al. (2012), Servedio et al. (2018), and Operti et al. (2018). <br> Description of variables in the dataset <br> countrycode: NUTS-3 code country: Name of provinces popdens: Population densit (person / sq. kilometers) DT1: Regional Development Trap Measure 1 DT2: Regional Development Trap Measure 2 fit: Economic Fitness Index (EFI) eci: Economic Complexity Index (ECI) pop: Total population pop1564: Working age population elksanpc: Electric consumption per capita egitim1: High school, faculty, master's, and PhD graduates to the working age population. openness: trade opennes <br> <br>
本研究遵循Diemer等人（2022）的研究方法，针对土耳其各省份测算得到区域发展陷阱DT1与DT2。同时，本研究还计算了两项经济复杂度指标：经济复杂度指数（Economic Complexity Index，ECI）与经济适配指数（Economic Fitness Index，EFI）。其中，经济复杂度指数的测算采用Hidalgo与Hausmann（2009）以及Hausmann等人（2014）提出的方法论；经济适配指数的测算则遵循Tacchella等人（2012）、Servedio等人（2018）以及Operti等人（2018）的研究范式。<br>数据集变量说明<br>countrycode：NUTS-3分级编码<br>country：省份名称<br>popdens：人口密度（单位：人/平方千米）<br>DT1：区域发展陷阱测度1<br>DT2：区域发展陷阱测度2<br>fit：经济适配指数（EFI）<br>eci：经济复杂度指数（ECI）<br>pop：总人口<br>pop1564：劳动年龄人口<br>elksanpc：人均电力消费量<br>egitim1：高中、本科、硕士及博士毕业生占劳动年龄人口的比重<br>openness：贸易开放度<br><br>
