This study shows the integration of e-commerce and advanced algorithm-based learning to establish a sustainable economic system and foster cultural education. The research also investigates the impact of rural aging on the utilization of several different land types, including arable land, forest land, and transportation land. The incorporation of e-commerce platforms offers advantages such as resource consumption reduction and efficient supply chain management, enabling broader market access and sustainable production and consumption. However, challenges related to data privacy, algorithm bias, and the digital divide need to be addressed for inclusive access. An artificial neural network (ANN) was constructed to analyze the impact of resource consumption and cultural exploration on market access, ethical practices, and data privacy. The ANN predictions showed that cultural exploration is most prominent with restricted market access, while data privacy is inversely related to ethical practices and market access. Regardless of consumption levels, resource consumption leads to increased data privacy. The study also found that rural aging has a significant negative impact on urban, industrial, and transportation land, but no significant impact on arable, forest, and garden land. The impact varies between towns and townships, with rural aging reducing urban and industrial land in towns but promoting the expansion of forest and grassland in townships. The results show the promising avenues for sustainable economic development and cultural education through the integration of e-commerce and advanced algorithm-based learning, while emphasizing the need to address key challenges and the implications of rural aging on land use for sustainable development.

Keywords: Sustainable Economic Systems, E-commerce, Algorithm-based Art Education, Land utilization, Transportation land, Impact, Towns and townships

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