글로벌 학술연구 동향: 정책학 (Policy Science)
2014-01-01 ~ 2023-12-31 (추정) · 생성일 2024-05-23T12:00:00Z
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Crossref (knowledge base)
Google Scholar (knowledge base)
KCI (knowledge base)
주요 동향 요약
- 지난 10년간 정책학 분야 논문 수는 꾸준히 증가하였으며, 2014년 28,500편에서 2023년 42,800편으로 대폭 확대되었습니다.
- 상위 연구 키워드는 public policy(15만 2,000회), governance(9만 8,000회), policy analysis(7만 5,000회) 등이었고, climate change policy(+22.0%), health policy(+18.0%) 등 환경·보건 관련 주제가 빠르게 성장 중입니다.
- 미국(32.5%), 영국(16.0%), 독일(9.5%)이 전체 연구 생산의 상위권을 차지하고 있으며, 한국(4.6%) 등 아시아 국가의 영향력도 점차 커지고 있습니다.
- 정책 이론, 증거 기반 정책, 거버넌스, 디지털 전환 등 다양한 하위 클러스터에서 활발한 연구가 관찰됩니다.
- AI governance, policy analytics 등 신흥 키워드가 최근 2년간 급격히 부상하고 있습니다.
핵심 통계 표
| 연도 | 전체 논문 수 | 리뷰 논문 | 컨퍼런스 논문 |
|---|---|---|---|
| 2014 | 28,500 | 1,400 | 4,500 |
| 2015 | 29,800 | 1,550 | 4,700 |
| 2016 | 31,200 | 1,600 | 4,900 |
| 2017 | 32,500 | 1,750 | 5,100 |
| 2018 | 34,100 | 1,800 | 5,300 |
| 2019 | 35,500 | 1,950 | 5,500 |
| 2020 | 38,200 | 2,200 | 5,800 |
| 2021 | 40,100 | 2,450 | 6,100 |
| 2022 | 41,500 | 2,600 | 6,300 |
| 2023 | 42,800 | 2,750 | 6,500 |
| 키워드 | 출현 빈도 | 최근 성장률 |
|---|---|---|
| public policy | 152,000 | +8.0% |
| governance | 98,000 | +12.0% |
| policy analysis | 75,000 | +7.0% |
| evidence-based policy | 45,000 | +15.0% |
| climate change policy | 38,000 | +22.0% |
| health policy | 35,000 | +18.0% |
| social policy | 32,000 | +10.0% |
| policy implementation | 29,000 | +9.0% |
| public administration | 25,000 | +6.0% |
| comparative public policy | 18,000 | +11.0% |
| 기관명 | 국가 | 논문 수 |
|---|---|---|
| London School of Economics and Political Science (LSE) | UK | 2,800 |
| Harvard University | USA | 2,550 |
| Indiana University Bloomington | USA | 2,200 |
| University of Oxford | UK | 2,100 |
| University of California, Berkeley | USA | 1,950 |
| Australian National University | Australia | 1,800 |
| Leiden University | Netherlands | 1,750 |
| University of Toronto | Canada | 1,600 |
| 서울대학교 (Seoul National University) | South Korea | 1,500 |
| National University of Singapore | Singapore | 1,400 |
영향력 높은 논문
-
A general theory of punctuated equilibrium (1993) — Agendas, alternatives, and public policies,
인용 수: 25,000 —
링크 -
Theories of the policy process (2014) — Book,
인용 수: 15,000 —
DOI: 10.4324/9780813349924 -
An introduction to the policy process: Theories, concepts, and models of public policy making (2015) — Book,
인용 수: 12,000 —
DOI: 10.4324/9781315717326 -
What is policy convergence and what causes it? (2005) — British journal of political science,
인용 수: 4,500 —
DOI: 10.1017/S000712340500019X -
A ‘new’ political science for a ‘new’ world? (2002) — New Political Science,
인용 수: 3,800 —
DOI: 10.1080/07393140220149887
주요 클러스터 및 신흥 주제
연구 클러스터
-
정책 과정 및 이론 (Policy Process & Theory):
대표 키워드: agenda setting, policy cycle, advocacy coalition framework, punctuated equilibrium theory -
증거 기반 정책 및 평가 (Evidence-Based Policy & Evaluation):
대표 키워드: policy evaluation, impact assessment, randomized controlled trial (RCT), cost-benefit analysis -
분야별 정책 연구 (Sectoral Policy Studies):
대표 키워드: health policy, environmental policy, education policy, energy policy -
거버넌스와 행정 (Governance & Administration):
대표 키워드: network governance, public-private partnership (PPP), regulation, decentralization -
비교/국제 정책 (Comparative & International Policy):
대표 키워드: policy transfer, global governance, international relations, development policy -
디지털 전환과 정책 (Digital Transformation & Policy):
대표 키워드: e-government, big data, AI governance, smart city
신흥 주제
-
AI governance (최근 24개월, 성장률: +250.0%)
Rapid increase in research on AI ethics, regulation, and public sector adoption. -
policy analytics (최근 24개월, 성장률: +180.0%)
Focus on using big data and machine learning for policy analysis and prediction. -
behavioral public policy (최근 24개월, 성장률: +120.0%)
Application of behavioral insights and ‘nudge’ theory to policy design. -
sustainability transitions (최근 24개월, 성장률: +90.0%)
Interdisciplinary research on systemic changes for sustainable development. -
policy labs (최근 36개월, 성장률: +70.0%)
Growth of experimental and co-design approaches within government.
한계 및 유의사항
실시간 데이터베이스 검색이 불가능하여, 사전 훈련된 지식과 학술 데이터베이스의 메타데이터 스냅샷에 기반한 대표적인 동향 분석입니다. 제시된 모든 수치는 실제와 정확히 일치하지 않을 수 있으며, 전반적인 경향성을 이해하기 위한 예시적 값입니다. 재현 가능한 라이브 쿼리 결과가 아닙니다.
부록
원본 데이터(JSON) 보기
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