Abstract: The blending of econometric evaluation techniques with big data analytics and dynamic modeling forms the core of developing prescriptions for adaptive, unprecedented, environmentally sustainable approaches to the management of the environment and natural resources. The model enables the design and assessment of policies and measures that have not been subjected to field surveys but remain highly relevant and impactful. Research creates big data 'snapshots' of chains of phenomena across space and time, including, but not limited to, forest cover, water quality, social activity, per capita CO2 emissions, and geo-economics. Dynamic systems modeling sets the system's boundaries, identifies the primary points of intervention for optimal environmental and socio-economic sustainability, and assesses the nonlinear causal system of the policy model within those boundaries. Econometrics focuses on the multivariate regression of integration and structural disintegration of the policy and institutional framework, the fiscal ecological cost of nested ecological units.

Keywords: Environmental Big Data, Dynamic Systems, Policy Econometrics, Natural Resource Sustainability, Institutional Evaluation, Dynamic Modeling

Pages: 400-408