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Furthermore, those arranged according to technical categories and binary logistic regression are used to determine trend variables that affect technical judgments. The results show that industries that have high total production factor values have a tendency to have high technical efficiency values as well. The method used is the CES production function and Data Envelopment Analysis. This study aims to evaluate the technical efficiency of creative industry in the craft sub-sector as well as to analyze the trend of variables that affect technical judgments. To see productivity can use technical efficiency. According to IBS data, the craft sub-sector creative industry has a low production value. However, the creative industry GDP growth that is below the RPJMN target is thought to indicate low productivity of the creative industry.
With the existence of the creative industry, it can achieve several SDGs goals, namely the 8th goal, namely decent work and economic growth, the creative economy can increase economic growth, create jobs and increase exports (UNCTAD, 2010). One of the policies to overcome this problem is with attention to the creative industry. However, deindustrialization in Indonesia is premature / too fast. Likewise, Indonesia which shows a decrease in the contribution of GDP and manufacturing sector workforce to the economy. In the 2001-2015 period there was de-industrialization in developed countries. Indonesia has undergone a transformation from agriculture to the manufacturing industry in 1971-1997.