| Issue |
E3S Web Conf.
Volume 233, 2021
2020 2nd International Academic Exchange Conference on Science and Technology Innovation (IAECST 2020)
|
|
|---|---|---|
| Article Number | 01119 | |
| Number of page(s) | 4 | |
| Section | NESEE2020-New Energy Science and Environmental Engineering | |
| DOI | https://doi.org/10.1051/e3sconf/202123301119 | |
| Published online | 27 January 2021 | |
Research on Environmental Cost Control Methods of Coal Enterprises under the Background of Big Data
Heilongjiang Oriental University, Heilongjiang Province, Harbin City, 150000
* Corresponding author: mhy@dfxy.net.cn
The coal industry plays a vital role in the rapid development of China's social economy. However, under the pressure of sustainable economic development, the profit margin of coal companies is relatively low. In order to increase the profitability of coal companies and maximize their economic benefits, we need to strengthen cost control. In recent years, the main research on cost control of coal enterprises includes logistics supply chain, inventory structure and value chain model optimization. These studies did not study the cost control methods of coal enterprises from the direction of environmental cost control. In the context of big data, coal companies need to accelerate their transformation and upgrading, relying on data platform systems to carry out environmental cost control in the development of coal companies. Only in this way can the sustainable development of coal enterprises be promoted.
© The Authors, published by EDP Sciences 2021
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