| Title |
Measurement of Green Total Factor Productivity and Its Spatial Convergence Test on the Pig-Breeding Industry in China |
| ID_Doc |
32012 |
| Authors |
Geng, N; Liu, ZJ; Wang, XJ; Meng, L; Pan, JY |
| Title |
Measurement of Green Total Factor Productivity and Its Spatial Convergence Test on the Pig-Breeding Industry in China |
| Year |
2022 |
| Published |
Sustainability, 14, 21 |
| DOI |
10.3390/su142113902 |
| Abstract |
The pig-breeding industry is one of the pillar industries of China's agriculture. Improving the green total factor productivity of pig breeding is the basis for ensuring the stable supply of pork, and is also the key to the green transformation of the pig industry. The existing studies about the green total factor productivity of pig breeding lack an analysis of regional coordination and the spillover of spatial technology efficiency at the macro level, and most studies focus on the impact of agricultural production's environment pollution and other undesirable outputs. Based on the input-output index system of the pig-breeding industry's green production, the DDF directional distance function model and the Malmquist-Luenberger (ML) productivity index were combined to measure the green total factor productivity of the pig-breeding industry. Moran's I-Theil index model was used to measure and reveal the technical efficiency differences among the dominant regions of the pig-breeding industry in China and the sigma-convergence test was adopted to reveal the convergence trend of green total factor productivity. The results showed that: (1) The growth level of green total factor productivity of pig breeding in China was generally low from 2006 to 2018, and there were obvious regional and scale differences. (2) The green total factor productivity of pig breeding in each province had spatial autocorrelation; that is, there was technology spillover. From 2006 to 2018, with the advance of time, a pattern of gradual evolution from low-level equilibrium to high-level imbalance was formed. (3) Through the convergence test, the convergence trend of large and medium-scale development between different regions fluctuated, while the convergence trend of small-scale development between different regions was not obvious. Therefore, it is necessary to increase investment in technological innovation, promote the large-scale and standardized development of the pig-breeding industry, and strengthen the promotion of technology in producing areas with advantages in pig breeding. |
| Author Keywords |
green total factor productivity; spatial convergence; pig breeding; Malmquist-Luenberger (ML) productivity index |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI) |
| EID |
WOS:000881492700001 |
| WoS Category |
Green & Sustainable Science & Technology; Environmental Sciences; Environmental Studies |
| Research Area |
Science & Technology - Other Topics; Environmental Sciences & Ecology |
| PDF |
https://www.mdpi.com/2071-1050/14/21/13902/pdf?version=1667873145
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