Making Decisions on the Development of County-Level Agricultural Industries through Comprehensive Evaluation of Environmental and Economic Benefits of Agricultural Products: A Case Study of Hancheng City

Abstract

This study aims to provide a scientific basis for the development of county-level agricultural industries through a comprehensive evaluation of the environmental and economic benefits of agricultural products. Focusing on Hancheng City in Shaanxi Province, this paper calculates and analyzes the carbon emission intensity per unit output value and the economic benefits of major agricultural products, assessing their comprehensive advantage indices. The research methods include data collection, data processing, and model construction, utilizing a bi-factor matrix analysis to explore the balance between environmental sustainability and economic profitability of different agricultural products. The results indicate that pepper and vegetables have the highest comprehensive advantages, demonstrating significant economic and environmental benefits, while soybeans show lower comprehensive advantages, requiring improvements in cultivation techniques and management practices. Based on the research findings, this paper proposes policy and management recommendations for different agricultural products, including focusing on the development of high-comprehensive-advantage products, improving cultivation techniques for low-comprehensive-advantage products, promoting green agricultural technologies, establishing a carbon footprint monitoring system for agricultural products, and strengthening agricultural infrastructure construction. The study’s conclusions provide theoretical support and practical guidance for the agricultural development strategies of Hancheng City and similar regions, contributing to the achievement of sustainable agricultural development and carbon reduction goals.

Assessing the environmental footprint of the mining industry: A case study on the bauxite and iron mining projects of Boke and Kerouane, Guinea

“…Valko and Kudenko (2024) and Paul et al (2024) critically evaluate the reliability of models estimating the energy and environmental footprint of digital currencies, which, although not directly related to traditional mining, provide insights into the challenges of assessing the environmental impact of geographically distributed networks. The challenges associated with assessing the environmental impact of the mining industry are similar to those faced when evaluating the environmental footprint of other industries, as evidenced by research conducted in the fruit sector (Lu et al 2024;Manakas et al 2024;Waqas et al 2024). Although not directly related to the mining industry, the ndings of these studies provide useful insights into the di culties of standardizing and harmonizing environmental accounting methods across different industries.…”