With the promotion of the strategy of ecological civilization, the off-duty audit system of natural ecological environment resources assets has achieved further development. However, under the influence of information technology, the complexity of ecological environment resources in the audit process has been increasing, which has not only hindered the processing and completion of data acquisition, resource asset measurement and other work, but also had a negative impact on the audit quality and efficiency. In order to solve this dilemma and realize the efficient and orderly implementation of audit work, based on the analysis of the definition, content and development status of the audit of natural ecological environment resources assets, this paper carried out an effective research on the optimization of audit work in combination with cloud computing technology. In order to verify the effectiveness of cloud computing technology, this paper took an audit case of an audit office as an empirical analysis object to study its audit efficiency. The analysis results showed that under the specified work cycle, the average completion rate of audit work after the application of cloud computing technology was about 93.57%, while the average completion rate of audit work before the application of cloud computing technology was 74.85%. From the concrete results of the empirical analysis, it is feasible to audit the natural ecological environment resource assets leaving office based on cloud computing. 

Choo Kwang Raymond. Departure Audit of Natural Ecological Environment Resource Assets Based on Cloud Computing. Nature Environmental Protection (2023), Vol. 4, Issue 2: 49-57. https://doi.org/10.38007/NEP.2023.040206.

[1] Wenyao Zhang. Conducting natural resource assets departure audit on leading cadres. Journal of Service Science and Management. (2018) 11(1): 36-43. https://doi.org/10.4236/jssm.2018.111004

[2] Junsheng Lei. Reforming the natural resource auditing system from the ecological civilization perspective. Chinese Journal of Population, Resources and Environment. (2020) 18(2): 87-96. https://doi.org/10.1016/j.cjpre.2019.01.001

[3] Min Su. Study on the Problems and Countermeasures of Leading Cadres' Natural Resources Assets Outgoing Audit in S City. Frontiers in Business, Economics and Management. (2022) 5(3): 227-232. https://doi.org/10.54097/fbem.v5i3.2025

[4] Lei Li. Citizen participation in the co-production of urban natural resource assets: analysis based on social media big data. Journal of Global Information Management (JGIM). (2021) 30(6): 1-21. https://doi.org/10.4018/JGIM.291514

[5] Huixiang Zeng. Local government environmental regulatory pressures and corporate environmental strategies: Evidence from natural resource accountability audits in China. Business Strategy and the Environment. (2022) 31(7): 3060-3082. https://doi.org/10.1002/bse.3064

[6] Lei Zhang, Xiaoran Li. Changing institutions for environmental policy and politics in New Era China. Chinese Journal of Population Resources and Environment. (2018) 16(3): 242-251. https://doi.org/10.1080/10042857.2018.1496702

[7] Adiloglu Burcu, Nevzat Gungor. The impact of digitalization on the audit profession: a review of Turkish independent audit firms. Journal of Business Economics and Finance. (2019) 8(4): 209-214. https://doi.org/10.17261/Pressacademia.2019.1164

[8] Rashid Aaqib, Amit Chaturvedi. Cloud computing characteristics and services: a brief review. International Journal of Computer Sciences and Engineering. (2019) 7(2): 421-426. https://doi.org/10.26438/ijcse/v7i2.421426

[9] Alam Tanweer. Cloud Computing and its role in the Information Technology. IAIC Transactions on Sustainable Digital Innovation (ITSDI). (2020) 1(2): 108-115. https://doi.org/10.34306/itsdi.v1i2.103

[10] Sadeeq Mohammed Mohammed. IoT and Cloud computing issues, challenges and opportunities: A review. Qubahan Academic Journal. (2021) 1(2): 1-7. https://doi.org/10.48161/qaj.v1n2a36

[11] Kumari Priti, Parmeet Kaur. A survey of fault tolerance in cloud computing. Journal of King Saud University-Computer and Information Sciences. (2021) 33(10): 1159-1176. https://doi.org/10.1016/j.jksuci.2018.09.021

[12] Ibrahim Ibrahim Mahmood. Task scheduling algorithms in cloud computing: A review. Turkish Journal of Computer and Mathematics Education (TURCOMAT). (2021) 12(4): 1041-1053. https://doi.org/10.17762/turcomat.v12i4.612

[13] Aujla Gagangeet Singh. SecSVA: secure storage, verification, and auditing of big data in the cloud environment. IEEE Communications Magazine. (2018) 56(1): 78-85. https://doi.org/10.1109/MCOM.2018.1700379

[14] Stein Meredith, Vincent Campitelli, Steven Mezzio. Managing the impact of cloud computing. The CPA Journal. (2020) 90(6): 20-27.

[15] Hahn Changhee. Enabling fast public auditing and data dynamics in cloud services. IEEE Transactions on Services Computing. (2020) 15(4): 2047-2059. https://doi.org/10.1109/TSC.2020.3030947