An Alternative Measure for Green Growth in the U.S. Agriculture Using the Malmquist-Luenberger Productivity Index

• 발행기관: 한국농업경제학회
• 저자명: Taeyoung Kim Chang-Gil Kim
• 간행물 정보: 『농업경제연구』55권 3호, 207~234쪽, 전체 28쪽
• 주제분류: 경제경영 > 경제학
• 파일형태: PDF
• 발행일자: 2014.09.30

영문 초록

This study introduces a Malmquist-Luenberger (ML) productivity index using non-parametric linear programming (LP) methods as an alternative measure of green growth by taking into account both desirable and undesirable outputs together as opposed to conventional measures considered only desir-able outputs. We used a panel data set consisting of agricultural activity in 50 states in the U.S. since 1990 as a case study. We found that 1) ML productivity in U.S. agriculture increased by 1.3% per year across the 50 states, which suggests that U.S. agriculture may be slowly approaching a lower carbon green growth economy, 2) Ignoring undesirable bad outputs overestimates annual pro-ductivity growth, 3) The average annual ML productivity varies considerably across states, ranging from a 2% decrease for Alaska to an increase of 7% for Arizona, and 4) The fluctuation of cumulative ML productivity follows similar patterns of technical efficiency during the 1992–2007 periods.

목차

Ⅰ. Introduction

Ⅱ. Theoretical Model

Ⅲ. Data and Results

Ⅳ. Conclusions and Discussions

키워드

green growth greenhouse gas emission Malmquist-Luenberger productivity index