Data Compliance Dilemma and Optimization Path for Public-Private Partnership Model in Digital Governance

Abstract

The problems of digital governance public-private partnership under the pressure of data compliance supervision and law enforcement have accelerated in terms of the collaborative relationship of subjects, risk-benefit distribution model, official planning and execution effectiveness and governance capacity. Moreover, the characteristics of data and compliance requirements have formed a new two-way risk transmission phenomenon in digital governance cooperation, and the means of risk avoidance through contracts are gradually failing. Against the background of relatively unsound development norms, defective cooperation models and insufficient supply of governance capacity, three major development dilemmas of tripartite game, model imbalance and insufficient effectiveness have been formed. The imbalance of benefits, risks and responsibilities will shackle the development momentum of public-private partnerships. The supervision, collaboration and development of public-private partnership in digital governance, on the one hand, need efficient top-level design, integrated planning and implementation measures. On the other hand, there is a need to clarify the boundaries of authority and responsibility of subjects, and to regulate their behavior in order to adapt to the dynamic legislative and regulatory environment of digital security. In order to solve this dilemma, we need to propose strategies to strengthen coordination, improve rules, innovate systems, regulate internally and externally, optimize the model, and take into account incentives from the legislative, judicial and compliance levels.