Neoclassical economics relies on highly formalized deductive logic to create an overly simplified picture of economic practices. Its universalized model of modernization assumes that the relationship between state and market is antagonistic. This presumption reduces China’s “economic miracle” to a simple transformation into a market economy and underestimates the role played by the government, making it impossible to construct a theory that considers China’s subjectivity. Studies on China’s economy should focus on its practices, which may appear to be paradoxical if seen only from the perspective of Western neoclassical economics, in order to construct an accurate depiction of the foundations of China’s development experience. Only through such an endeavor will it be possible to incorporate into any new theory of economic modernization the distinctive features of China’s development.
With the advancement of science and technology in modern society, big data has more and more profound impact on our lives, big data has played an unparalleled role in all areas of society. In the process of realizing China’s rural revitalization and industrial development, it is bound to get great help by making full use of the advantages of big data in the digital age. Based on this purpose, this paper does a research on rural revitalization based on computer big data, the main research areas are e-commerce, smart agriculture and rural governance platform.
Big data economy meets artificial intelligence, making the traditional statistical economy gradually evolve into an intelligent economy. Limited by human consciousness, traditional economic models have low prediction accuracy. In traditional statistical methods, the limited sample data also makes it impossible to effectively control and comprehensively forecast macroeconomic and development trends. Data economy has fundamentally transformed the traditional means of economic analysis. This is because the digital economy enables economic connectivity and precise data sharing, which can be used for precise economic statistics and mathematical analysis. Meanwhile, in terms of statistical methods, artificial intelligence methods no longer rely on human consciousness, but more objectively pay attention to economic cause and effect and are more accurate and comprehensive. This paper proposes an economic forecasting method based on artificial intelligence methods combined with big data analytics. In our model, we consider the economic statistics, equilibrium, and future prediction with the big data. Through the artificial intelligence method based on deep learning, the possible political factors, human activity factors, and social environmental factors in actual economic activities are effectively combined to form the main analysis subject affecting the economy. The results show that our model can be used as a basic model for economic statistics, economic analysis, economic decision-making, economic self-regulation, and other functions under the current development trend of the data economy.
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