崔东树：两新政策促进下国内车市强势增长 北强南弱特征明显

Core Viewpoint - The Chinese passenger car market is expected to see a retail growth of 11% year-on-year by 2025, driven by favorable national policies and a strong performance in the northern regions, while the southern regions show weaker growth [1]. Group 1: Regional Market Trends - The northern car market is showing significant strength, with a 3.3 percentage point increase in market share in June 2025 compared to the previous year, and a 5.7 percentage point increase compared to 2019 [2][3]. - The Northeast region has been steadily growing, maintaining a high market share of 7% in June 2025, while the southern regions, particularly East China, have experienced significant declines [1][4]. - The overall market growth is characterized by a "north strong, south weak" pattern, with the Northeast and Northwest regions being the fastest-growing areas in China [2][3]. Group 2: Policy Impact and Market Structure - Subsidy policies are encouraging the growth of mid-to-low-end economic vehicles, with A00 and A0 level electric vehicles performing well in the northern regions [1][4]. - The shift towards new energy vehicles (NEVs) is accelerating in northern provinces, with plug-in hybrid models gaining traction due to their advantages in colder climates [1][4]. - The market structure is evolving, with SUVs showing strong demand in the central and western regions, while traditional fuel vehicles still dominate in these areas [7][9]. Group 3: New Energy Vehicle Market - The new energy vehicle market is performing well, particularly in pure electric and plug-in hybrid segments, with traditional fuel vehicles still holding a significant share of around 60% in the central and western regions [9][10]. - Regions like Hainan and Tianjin have seen new energy vehicle penetration rates reach approximately 60%, indicating robust growth [10][11]. - The overall structure of the passenger car market is shifting, with economic vehicles benefiting the most from government subsidies, reflecting a fair and equitable policy approach [11][12].