Do economic volatilities affect the 3D printing business in China?
China is a leading innovator and developer of 3D printing and technologies that are essential drivers of economic growth. However, recent market uncertainties in demand and supply posit the question, do economic volatilities affect 3D printing business and viability in China? Background information informs that in China, the availability of raw materials such as rare earth elements makes it cheaper to develop and design 3D printers and techniques. However, a market slowdown in Chinese products and exports threatens the profitability and potential success of 3D technologies as such. The research question is important in the process of evaluating the cost-effectiveness of 3D techniques as a viable business opportunity while exploring optimal production figures. Research on the potential of 3D innovations in creating sufficient demand and employment opportunities is important while studying potential benefits in eliminating business slowdowns in the Chinese economy. Assessing the potential of 3D innovations is important in creating sufficient demand and employment opportunities while exploring potential benefits in reducing business slowdowns in the Chinese economy. Evaluating future impacts of economic uncertainties in the research and development of modern manufacturing and production techniques facilitate the creation of value and wealth.
The collection of data on the key outcome relies on time-series data that is appropriate in studying business uncertainties in the economy and industry of china, leading to the unpredictability of profitability of 3D technologies. Time interval methodology examines economic fluctuations through 2-week periods based on market assessing a 37% change in costs and application of rare earth elements utilized in the design and production of 3D printers. Obtaining of data on the key explanatory variable through periodic forecasting offers qualitative and quantitative evaluation on 21% decline of demand and purchase of 3D technologies while intervals of 2 weeks are sufficient in assessment on expected financial gains compared to invested capital in the design and diffusion of 3D techniques. Time series data derives from primary sources of entities engaging in the design and production of 3D technologies. The scope and structure of periodic data include a 64% optimal production and demand estimates of 3D technologies on a two-week basis, thus offering current analysis of business performance. A cross-sectional study of the rate of adoption of 3D technologies evaluates challenges from lack of incomes and capital for the purchase of essential production techniques. Periods of 2 weeks in the study and analysis of cross-sectional data is vital to gauging the effects of the lack of employment opportunities and impact on the level of productivity by skilled human capital. Data obtained for cross-sectional analysis derives from primary sources such as production numbers of 3D printers and technologies and the amount of available capital for entities dealing with additive manufacturing techniques.
Key challenges in the collection of time series and cross-sectional data is a limited two week period that offers short term inferences on business fluctuations and volatility. A second challenge is a reliance on primary and secondary data on the demand and productivity of employees utilizing 3D techniques within a short period of 2 weeks. Strategies for addressing these challenges is the reliance on primary data from industrial participants in the design of 3D technologies while maintaining a high degree of causation between business volatilities and inefficiencies in the diffusion of additive manufacturing innovations.