TY - JOUR
T1 - Evaluating Green Productivity Gains with the Exponential By-Production Technology
T2 - an Analysis of the Chinese Industrial Sector
AU - Shen, Zhiyang
AU - Baležentis, Tomas
AU - Vardanyan, Michael
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive licence to Springer Nature Switzerland AG.
PY - 2022/10
Y1 - 2022/10
N2 - The conventional convexity assumptions frequently placed on piecewise linear frontiers of production technologies modeled using data envelopment analysis imply non-increasing marginal products. Assuming geometric convexity in the context of the exponential technology represents a more general alternative that imposes no underlying restrictions on the marginal products, while simultaneously reducing the impact of the outlying observations. In this paper, we propose an exponential by-production technology capable of generating the outputs deemed undesirable from the society’s point of view. We subsequently rely on this technology to measure environmental productivity. Our empirical illustration uses data from the Chinese industrial sector, which is both a major energy consumer and polluter. By comparing our findings with the results from a conventional production model we demonstrate that our proposed indicator mitigates the impact of outlying observations when gauging the contributions of inputs and outputs to green growth. Our results suggest that the Chinese industrial sector experienced the annual productivity growth rate of around 0.40% during 1999–2016 and that the green productivity was mostly driven by technological progress. We also demonstrate that technological progress has been a bigger contributor to the growth in industrial output in China’s east than its inland or western regions.
AB - The conventional convexity assumptions frequently placed on piecewise linear frontiers of production technologies modeled using data envelopment analysis imply non-increasing marginal products. Assuming geometric convexity in the context of the exponential technology represents a more general alternative that imposes no underlying restrictions on the marginal products, while simultaneously reducing the impact of the outlying observations. In this paper, we propose an exponential by-production technology capable of generating the outputs deemed undesirable from the society’s point of view. We subsequently rely on this technology to measure environmental productivity. Our empirical illustration uses data from the Chinese industrial sector, which is both a major energy consumer and polluter. By comparing our findings with the results from a conventional production model we demonstrate that our proposed indicator mitigates the impact of outlying observations when gauging the contributions of inputs and outputs to green growth. Our results suggest that the Chinese industrial sector experienced the annual productivity growth rate of around 0.40% during 1999–2016 and that the green productivity was mostly driven by technological progress. We also demonstrate that technological progress has been a bigger contributor to the growth in industrial output in China’s east than its inland or western regions.
KW - By-production technology
KW - Chinese industry
KW - Environmental performance
KW - Exponential productivity indicator
KW - Multiplicative directional distance function
UR - http://www.scopus.com/inward/record.url?scp=85135346097&partnerID=8YFLogxK
U2 - 10.1007/s10666-022-09849-y
DO - 10.1007/s10666-022-09849-y
M3 - Article
AN - SCOPUS:85135346097
SN - 1420-2026
VL - 27
SP - 759
EP - 770
JO - Environmental Modeling and Assessment
JF - Environmental Modeling and Assessment
IS - 5
ER -