Investigating the biodiversity conservation capability of technological innovation and FinTech.

Human activities, primarily economic growth, and technological innovation, threaten global biodiversity. This study utilizes 22-year panel data from 87 developing countries and a novel cross-sectional heterogeneous factor analysis-based financial technology index to investigate how economic growth, renewable energy consumption, technological innovation, natural resources, and financial technology affect biodiversity. To account for cross-sectional dependency, this study employed a Panel Autoregressive Distributive Lagged with Pooled Mean Group specifications within the Driscoll and Kraay standard error estimator.

Horticultural postharvest loss' and its socio-economic and environmental impacts.

Food losses and waste (FLW) have multidimensional environmental, social, and economic impacts, and avoidance efforts may yield better environmental gains than recovery. Horticulture has the highest FLW (≈50% of production loss), representing 38% of total global FLW. The primary data were collected from 343 grape farmers and middlemen in Egypt, and the life cycle assessment (LCA) methodology and the Category Method (C-Method) have been employed to estimate the percentage of Postharvest Losses (PHL) and its socio-economic and environmental effects across the supply chain (SC).

Examining the determinants and efficiency of China's agricultural exports using a stochastic frontier gravity model.

This paper aims to examine the key determinants and efficiency of China's agricultural exports with its 114 importing countries by applying the Stochastic Frontier Analysis (SFA) on an augmented gravity model for the period of 2000-2019. The Poisson Pseudo Maximum Likelihood (PPML) and the fixed effect models were also estimated simultaneously to confirm the robustness of our findings. The results reveal that China's economic size (GDP) and its importing countries, the Belt and Road Initiative (BRI), common border, and the Chinese language positively determine China's agricultural export flows.

An empirical study on spatial-temporal dynamics and influencing factors of apple production in China.

In the context of supply-side structural reform, revealing the characteristics of spatial-temporal dynamics and influencing factors of China's apple production layout is of great significance to ensure apple supply and demand balance and timely adjustment of industrial policies and regional layout strategies. Based on national and provincial apple production data from 1978 to 2016, this study used the apple production concentration index to analyse the evolution characteristics of regional apple production patterns in China. A theoretical analysis framework was established and a spatial econometric model was used to quantitatively explore the influencing factors of China's apple production layout.