eCommons

 

THREE ESSAYS ON REGIONAL POLICY ANALYSIS AT DIFFERENT REGIONAL SCALES WITH VARIOUS METHODOLOGICAL APPROACHES

Other Titles

Abstract

Regional policy analysis requires an appropriate method that is tailored to a specific region because of differences in demographics, policy purpose, and the direction of policy. Each policy can be analyzed through different methods or viewpoints on how to approach the problem. This dissertation attempts to narrow the literature gap by developing computational tools to analyze regional policy at different regional scales. This dissertation includes three essays on different policy issues, each of which is analyzed using a different method. In the first chapter, for which the regional scope is the county, I investigate the impact of tax incentive policy using an agent-based modeling (ABM) approach. In 2013, Governor Cuomo introduced the policy START-UP NY (New York), designed to create more jobs by helping people start or move their qualified business into tax-free zones. Measuring the impact of START-UP NY, however, is difficult because the data are not yet available for causal inference purposes. The agent-based model developed for this chapter is designed to simulate the impact of START-UP NY on the local economy of Tompkins County. The simulation results show that ensuring a stable demand for firms’ output is more critical for firms to survive than the kind of tax exemptions offered by START-UP NY. The second chapter expands the regional size to the national level and analyzes the impact of reducing military expenditures using a computable general equilibrium (CGE) model. Military spending is an essential budget item because it is directly related to national security. Unlike the literature, this thesis does not analyze the relationship between defense expenditures and economic development. Instead, I develop a CGE model to analyze how various industries are affected by defense expenditures, and to identify industries for which increased government expenditures would improve household wellbeing when defense expenditures are reduced. The final chapter analyzes international regional policy to explore the relationship between peace and trade using a structural equation modeling (SEM) approach. In this paper, I explore the impact of peace on trade and vice versa using a SEM approach. I conduct a SEM analysis using the Militarized Interstate Dispute dataset. I propose two latent variables—peace and trade—to investigate the relationship between the latent variables and the indicators. I found that there is a reciprocal effect between peace and trade. In addition to analyzing the relationship between trade and peace, I extend the dataset to include observations up to 2010, which has not been done before. I show using the new dataset that the relationship between trade and peace has remained stable in the decades between 1990 and 2010.

Journal / Series

Volume & Issue

Description

157 pages

Sponsorship

Date Issued

2020-08

Publisher

Keywords

agent-based model; computable general equilibrium; policy analysis; regional science; structural equation modeling

Location

Effective Date

Expiration Date

Sector

Employer

Union

Union Local

NAICS

Number of Workers

Committee Chair

Donaghy, Kieran Patrick

Committee Co-Chair

Committee Member

Mansury, Yuri Surtadi
Kanbur, Ravi

Degree Discipline

Regional Science

Degree Name

Ph. D., Regional Science

Degree Level

Doctor of Philosophy

Related Version

Related DOI

Related To

Related Part

Based on Related Item

Has Other Format(s)

Part of Related Item

Related To

Related Publication(s)

Link(s) to Related Publication(s)

References

Link(s) to Reference(s)

Previously Published As

Government Document

ISBN

ISMN

ISSN

Other Identifiers

Rights

Rights URI

Types

dissertation or thesis

Accessibility Feature

Accessibility Hazard

Accessibility Summary

Link(s) to Catalog Record