A5086520348- Energy, Environment, Economic Growth
- Conservation, Biodiversity, and Resource Management
- Rangeland Management and Livestock Ecology
- Wildlife Ecology and Conservation
- Environmental Impact and Sustainability
- Animal Disease Management and Epidemiology
- Agricultural Development and Policies
- Forest Management and Policy
- Land Use and Ecosystem Services
- COVID-19 epidemiological studies
- Regional Development and Environment
- Environmental Sustainability in Business
- COVID-19 Pandemic Impacts
Beijing Forestry University
2023-2024
The digital economy is an important engine for promoting green economic development, and the integration of real economies can accelerate transformation economy. In order to explore multifaceted influence on forestry total factor productivity its specific presentation form, based panel data 277 cities in China from 2013 2019, this paper first used super SBM model measure level adopted entropy method each region. Secondly, mechanism were explored by using fixed-effect intermediate-effect...
The forestry industry is a low-carbon green with great potential for development, but its current development model facing multiple dilemmas that urgently require shift to high-quality development. Neoclassical theory and endogenous growth consider technology innovation as the foundation of economic growth. In order explore impact (FTI) on industry, this paper uses entropy method, spatial Durbin model, threshold effect economy analysis exploration non-linear relationship between two, panel...
Agricultural green development plays a crucial role in addressing the conflict between agricultural production and ecological environmental protection. This study aims to analyze impact mechanisms through which digital inclusive finance influences development, providing empirical evidence support of promoting sustainable practices. Using panel data from 30 provinces (cities districts) China spanning 2011 2020, this measures regional levels using entropy power method. By clarifying...
Abstract The frequent occurrence of public emergencies seriously affects the healthy development farming industry, and it is important to improve level automation cope with impact efficiency industry. Based on dual African swine fever COVID-19, article empirically analyzes unexpected events using primary research data an Ordered Logit model. It found that: 1) both direct indirect shocks will force entities their levels; 2) there are differences in different scale levels. For conventional...