Technological innovation, resource endowment, and green total factor energy efficiency

被引:24
作者
Wang, Lianghu [1 ]
Ma, Yatian [2 ]
机构
[1] Southeast Univ, Sch Econ & Management, Nanjing 211189, Peoples R China
[2] Southwest Univ, Sch Econ & Management, Chongqing 400715, Peoples R China
基金
中国国家自然科学基金;
关键词
Technological innovation; Independent innovation; Technology introduction; Resource endowment; Green total factor energy efficiency; EMPIRICAL-ANALYSIS; CHINA; INTENSITY; SECTOR; HETEROGENEITY; CONSUMPTION; PRICES; IMPACT;
D O I
10.1007/s11356-022-21426-0
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Technological advancements and resources availability are the main components of green total factor energy efficiency (GTFEE). This study measured GTFEE using the Meta-frontier and Non-radial Directional Distance Function (MNDDF) models and empirically evaluated the effect of technological innovation and resource endowment on GTFEE using dynamic panel and panel threshold models. The following are the primary findings: (1) Throughout the study sample period, the average change trend of China's GTFEE was generally in the shape of a "W," with regional variations. (2) Independent innovation can significantly improve GTFEE, whereas technology introduction has little effect on GTFEE advancement. Similarly, it confirmed the existence of the "Resource Curse." (3) While independent innovation has reduced the severity of the resource curse to a certain extent, the introduction of this technology has no positive effect on the resource curse problem. (4) Heterogeneity research indicates that only large cities' independent innovation has significantly increased GTFEE. There is a particular resource curse phenomenon regardless of the city size, but it is more prominent in small and medium-sized cities. (5) At various phases of economic development, a significant difference was noticed in the impact of independent innovation, technology introduction, and resource endowment on GTFEE.
引用
收藏
页码:79618 / 79633
页数:16
相关论文
共 77 条
[1]   Effects of changing trade structure and technical characteristics of the manufacturing sector on energy intensity in Ghana [J].
Adom, Philip K. ;
Kwakwa, Paul Adjei .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2014, 35 :475-483
[2]   ANOTHER LOOK AT THE INSTRUMENTAL VARIABLE ESTIMATION OF ERROR-COMPONENTS MODELS [J].
ARELLANO, M ;
BOVER, O .
JOURNAL OF ECONOMETRICS, 1995, 68 (01) :29-51
[3]   A metafrontier production function for estimation of technical efficiencies and technology gaps for firms operating under different technologies [J].
Battese, GE ;
Rao, DSP ;
O'Donnell, CJ .
JOURNAL OF PRODUCTIVITY ANALYSIS, 2004, 21 (01) :91-103
[4]   Estimating the rebound effect in US manufacturing energy consumption [J].
Bentzen, J .
ENERGY ECONOMICS, 2004, 26 (01) :123-134
[5]   Energy efficiency in developing countries: Roles for sector regulators [J].
Berg, Sanford V. .
ENERGY FOR SUSTAINABLE DEVELOPMENT, 2015, 29 :72-79
[6]   Prices, technology development and the rebound effect [J].
Birol, F ;
Keppler, JH .
ENERGY POLICY, 2000, 28 (6-7) :457-469
[7]   Initial conditions and moment restrictions in dynamic panel data models [J].
Blundell, R ;
Bond, S .
JOURNAL OF ECONOMETRICS, 1998, 87 (01) :115-143
[8]  
Bond, 2002, PORT ECON J, V1, P141, DOI [10.1007/s10258-002-0009-9, DOI 10.1007/S10258-002-0009-9]
[9]   Linking energy efficiency and innovation practices: Empirical evidence from the foundry sector [J].
Cagno, Enrico ;
Ramirez-Portilla, Andres ;
Trianni, Andrea .
ENERGY POLICY, 2015, 83 :240-256
[10]   A comment on the calculation of the total-factor energy efficiency (TFEE) index [J].
Chang, Ming-Chung .
ENERGY POLICY, 2013, 53 :500-504