Core Viewpoint - The export value of new energy electric vehicles from Zibo reached 440 million yuan in the first seven months of the year, reflecting a significant growth in the local automotive industry and its global market expansion [1][4]. Group 1: Industry Development - Zibo has prioritized the development of the new energy vehicle industry, listing it as one of the 20 key industrial chains in 2023, focusing on specialization, scale, intelligence, and branding [3]. - The new energy pickup trucks from Geely Radar have dominated the Chinese pickup market for three consecutive years, showcasing the city's strong automotive manufacturing capabilities [2][3]. - The total output value of the new energy vehicle industry in Zibo is expected to approach 8 billion yuan in 2024, with a year-on-year growth of 116.23% in the first two months of this year [3]. Group 2: Export and Market Expansion - Geely Radar has successfully exported its products to over 50 countries and regions, with plans to expand into markets such as Dubai [2][4]. - The local government has organized customs and tax departments to assist companies in navigating export challenges, including policy understanding and customs efficiency [4]. - The export value of new energy electric vehicles from Zibo increased by 230% year-on-year in the first seven months, reaching 440 million yuan [4].

Core Insights - The article highlights the significant growth and challenges faced by the new energy vehicle (NEV) export sector, particularly focusing on Geely Radar's operations in Shandong, China [1][2] Group 1: Company Operations - Geely Radar's new energy pickup truck production line is highly automated, featuring robots and mechanical arms for tasks such as welding and assembly, with vehicles ready for export to Thailand [1] - The company has established a strong market presence in China, leading the NEV pickup market for three consecutive years and gaining popularity in Southeast Asia, Central Asia, Eastern Europe, and South America [2] Group 2: Export Challenges and Solutions - Geely Radar faces challenges in understanding international policies and regulations, which can lead to issues with customs clearance [1] - To address these challenges, the Zibo Customs, in collaboration with other departments, has implemented measures such as policy briefings, one-on-one service mechanisms, and automated customs declaration processes to enhance efficiency [1][2] Group 3: Market Expansion and Performance - Geely Radar has exported its NEV pickups to over 50 countries and regions, with a focus on countries involved in the Belt and Road Initiative [2] - In the first half of this year, exports to Belt and Road countries reached 350 million yuan, marking a year-on-year increase of 280% [2]

Core Insights - The collaboration between Geely Radar and Jiangsu Agricultural Reclamation Su Shun Group aims to integrate smart agriculture with low-altitude economy through the procurement of 1,000 new energy pickup trucks [1][3] - Geely Radar's CEO highlighted the transition from traditional farming to smart-enabled agriculture, emphasizing the role of low-altitude economy and new energy technology in addressing challenges such as low production efficiency and high costs [3] Group 1 - The first batch of long-range flying version pickups was delivered, allowing drone operators to efficiently charge and operate in the fields [1][4] - The new energy pickup features a 100-degree large battery pack supporting a range of 651 km, with a 21 kW industrial-grade external discharge function, enabling over 70 drone charging sessions per day [6] - The cost of electricity for drone operations has significantly decreased from 4 yuan per kilowatt-hour to 0.5 yuan, improving efficiency by two times compared to traditional fuel generators [6] Group 2 - The integration of vehicle systems with cloud management allows for real-time sharing and precise analysis of drone operation data, reducing labor costs by over 30% [6] - The partnership is expected to accelerate the mechanization and intelligence of agricultural practices, promoting a collaborative operation model involving "people, vehicles, machines, and cloud" [6] - Future developments include the implementation of a "vehicle-machine-cloud" intelligent inspection system for agricultural management and disaster warning applications [6]