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A substantial increase in electricity demand has triggered a rising investment in energy infrastructure in the US over the last decade. This paper examines the capitalization effects of electricity transmission lines (TMLs) on nearby farmland values and housing prices in the Midwest from 2015 to 2019, based on 16,026 parcel-level farmland sales data from FarmlandFinder and 1,905,280 housing transaction data from the Zillow Transaction and Assessment Dataset database. Our estimation results reaffirm the disamenity effects of TMLs on housing property values and find that the disamenity effects are larger on houses in urban areas than in rural areas. Nearby TMLs generate premiums for surrounding farmland, which contrasts with the disamenity evidence due to aesthetics (either visual or audible) in the literature. We further show that farmland parcels within 0–2 km of TMLs in high-wind areas are approximately 3.10% more expensive than comparable parcels in low-wind areas. Our paper provides novel and contrarian evidence on the effects of TMLs on property values amid rising investment in energy infrastructure. • This paper examines the capitalization effects of electricity transmission lines (TMLs) in US Midwest housing and farmland prices. • The analysis is based on nearly 20,000 farmland sales transactions and 2.5 million Zillow housing sales from 2015 to 2019. • TMLs are disamenities for urban housing prices, but generate premium for farmland prices. • The premium of TMLs in farmland markets are stronger in high-wind-resource areas. [ABSTRACT FROM AUTHOR]

Rapid developments in environmental infrastructure have contributed to significant improvements in green total factor productivity, but further investigation is required to provide a detailed assessment to understand the policy mechanisms involved. This paper analyzes environmental progress in China through MMQR, CCEMG, and AMG as empirical strategies for 30 provinces in China. Our empirical results reveal that energy optimization through renewable energy is the most effective channel to improve green total factor productivity, though it is not the only available option. Since environmental regulations, infrastructure development, and green technology innovation also directly impact energy efficiency, adopting these within policy channels will positively impact environmental sustainability. Our empirical approach helps suggest novel environmental policy suggestions. In particular, policymakers must introduce structural changes within energy developments to foster renewable energy. Furthermore, China must increase environmental spending to upgrade its energy infrastructure further and solve ecological issues. These insights offer valuable policy guidance for decision-makers in China and globally, aiming to foster economic and environmental sustainability and achieve zero-carbon transition goals. • The current study analyses the role of green factor productivity in zero carbon transition. • We use 30 chinese provincial datasets from 2005 to 2020. • Energy transition is the most effective channel to improve green total factor productivity. [ABSTRACT FROM AUTHOR]

Whether constructing more transportation infrastructure can be helpful for the achievement of energy conservation is a long-running and debatable issue. To answer this question, the relationship between transportation infrastructure and energy efficiency must first be clarified. Nonetheless, the existence of the endogeneity problem poses a challenge to defining the relationship. In this paper, an endogenous stochastic frontier analysis method is used to investigate the influence of transportation infrastructure on energy efficiency. Based on the prefecture-city level panel data in China, we find that after addressing the endogeneity problem, the impact of transportation infrastructure on energy efficiency increases dramatically. Moreover, this impact is more pronounced in small-scale cities compared to large and medium-scale cities. Regardless of the measurement of transportation infrastructure, instrumental variable, or production function form, we get the similar conclusions, demonstrating the robustness of our findings. Additional simulation analysis shows that the energy conservation potential would be 1222–2935 million kilowatt hours if the level of transportation infrastructure could be optimized. We recommend accelerating the transportation infrastructure construction, particularly in the small-scale cities so as to boost the energy efficiency and achieve energy conservation targets. • The relationship between energy efficiency and transportation infrastructure is investigated. • The endogeneity of transportation infrastructure is addressed. • A novel framework to analyze the relationship between energy efficiency and transportation infrastructure is proposed. • Accelerating the construction of transportation infrastructure to increase energy efficiency is proposed. [ABSTRACT FROM AUTHOR]