In the era of globalization and international trade, the production-based CO₂ emissions accounting system, proposed by United Nations Framework Convention on Climate Change, can easily lead to a “carbon leakage” issue. Thus, the accounting of consumption-based carbon emissions and carbon emissions embodied in international trade has received considerable research attention. Nevertheless, researchers also indicated that the consumption-based principle has some weaknesses, for example, it leads the producers inert on reducing carbon emissions while gaining economic benefits. To share carbon emissions responsibilities between producers and consumers is widely recognized. So, setting an income-based emissions accounting method as to producer is a necessary complement for accounting national carbon emissions. This study promoted a model, called the value-added-based accounting of CO₂ emissions method, to account for anthropogenic CO₂ emissions within the context of the economic benefit principle. Based on the global multi-regional input-output table and national carbon emissions database, we calculated the national/regional carbon emissions based on the value-added accounting approach as well as the amount of global carbon emissions embodied in value-added chains. If the results are served as a supplement for calculating the amount of CO₂ emissions reduction that a country is responsible for, problems such as carbon leakage and resistance to improving the energy efficiency of exporting sector may be solved, because all the supply chains emissions associated with the economic growth of a country would be considered.

Eco-efficiency has been receiving attention worldwide, and the effective implementation of environmental regulations (ERs) has become crucial to regional eco-efficiency. This paper uses a method combining mixed directional distance function and bootstrapping approach to investigate the spatial and temporal distribution characteristics of eco-efficiency under the constraint of land use carbon emission in China from 2004 to 2016. The nonlinear relationship between ER and eco-efficiency is observed with a panel threshold model. Results from empirical tests reveal that eco-efficiency in China during the study period has an upward trend, and the spatial and temporal distribution of eco-efficiency is unbalanced and concentrated. Technical innovation and land marketization (LM) shows double threshold, whereas industrial structure (IS) has a single threshold effect. LM has a promotional effect on eco-efficiency, which differs in the promotion before and after promotion across the threshold value. Reasonable ER can reduce cost by stimulating the innovation of green production technology and achieves a win-win situation between environment and output. This finding further verifies that the ER for eco-efficiency under the constraint of land use carbon emission conforms to the Porter hypothesis. The effect of ER on eco-efficiency changes from negative to positive with the increase of IS level. Adjusting the ownership structure and increasing the proportion of green achievements in the promotion and assessment of officials are important measures in the upgrading of eco-efficiency.

Embodied carbon emissions research is an important branch of climate change study. Some scholars have noted the value-added chains associated with the carbon emissions embodied in international trade. But they have not covered the global scale and the entire demand-supply chains. This paper tries to investigate this issue and answer how much value-added is gained by countries, especially developing regions that are the main carbon emissions suppliers in the world, and how this value-added changed during 2000–2014, based on the multi-regional input-output table. The conclusions are, on a global average, the value-added gained per unit of carbon emissions embodied in the global demand-supply chain had increased, but it had not brought net value-added to developing regions but instead caused them a net loss of wealth, mainly because developing regions should pay more value-added for their increasingly external demand.

The national census data during 1995 and 2000 and during 2005 and 2010 are selected in this paper to make an analysis of the spatio-temporal characteristics of the inter-provincial population migration in China. In addition, the general regression model, the extension regression model considering the historical dependent variable and the spatial lag model are established based on the gravity model to make the regression model on China’s inter-provincial population migration over two periods of time. The results show that: (1) the inter-provincial population migration increases rapidly in size with strong geographical proximity; (2) China’s inter-provincial population migration is still in the primary stage of the general process of population migration. In other words, the inter-provincial population emigration and immigration levels have increased greatly with the economic development; (3) Statistically, the inter-provincial population migration is negatively correlated with the level of economic development in the emigrant place and the migration distance and positively correlated with the level of economic development in the immigrant place and the population scale in the emigrant and immigrant places; and (4) The spatio-temporal factor is an important explanatory variable of population migration. The introduction of the historical dependent variable and the spatial lag factor can improve the regression effect of the gravity model greatly, and the historical variable and the spatial factor have strong explanatory power for the inter-provincial population migration.

Using actor-network theory (ANT), this paper explores the process and mechanisms of rural space reconstruction in China in the post-urbanization era. In the context of urban–rural integration development in China, villages have become diversified. They are not only the living spaces of villagers, but they are also consumption spaces of urban residents. Through a case study of a typical village in the Yangtze River Delta, this study highlights that the actor-network of rural spatial reconstruction includes heterogeneous actors, such as the village committee, villagers, governments, tourism enterprises, makers, housing, and landscape—among which the Lishui Government is the key actor. Therefore, this paper argues that China’s rural space reconstruction is greatly dependent on external resources such as government policy support or enterprise investment. In the future, promoting public participation will be necessary to realize villages’ endogenous transformation and development.

The research on the land resources embodied in the inter-regional economic linkages is of great significance for the ecological compensation and sustainable use of the cultivated land. We constructed a model to estimate the agricultural land transfer embodied in inter-regional trade by using the agricultural land footprint model and the multi-regional input–output model. Taking China as an example, using a 2017 multi-regional input–output table and agricultural land and production data, we evaluated the agricultural land footprints embodied in the inter-provincial demand–supply chain in China and explored their characteristics, revealing the balance of income and expenditure that makes up the agricultural land footprint in each region. The results show that: (1) In 2017, China’s total agricultural land footprint was 557.63 million ha². Developed areas such as Shandong, Guangdong, and Jiangsu in the East generally had a greater footprint than the underdeveloped areas in the west. Provinces with more agricultural land do not necessarily have larger agricultural footprints. (2) The Agriculture, Hunting, Forestry, and Fishing industry and the Food, Beverages, and Tobacco industry were the main two sectors that contributed to the agricultural land footprint for each province, accounting for more than 60% of the total agricultural land footprint in China. (3) The embodied agricultural land transfer between regions showed two main directions on the whole: one was from north to south and the other from west to east, reflecting the transfer law of movement from the less developed regions to those that were more developed.