The implementation of environmental protection strategy necessarily requires mapping the amount of capital stock of environmental infrastructure. Through the Weibull distribution function and hyperbolic age-decreasing efficiency model, the provincial environmental infrastructure capital stock in China from 1980 to 2018 is measured cautiously, and its spatial dynamics with the generated pollutants is analyzed using the center of gravity method. It is found that: the spatial distribution of environmental infrastructure capital stock is uneven, and the unevenness in the east-west direction is greater than that in the north-south direction, but the unevenness in the east-west direction is narrowing while the north-south direction is widening; the spatial and temporal distribution of environmental infrastructure capital and environmental pollution vary greatly, and the spatial management of environmental pollution is less accurate.

Occupying a preeminent position as the globe’s most extensive economic corridor, the Yangtze River Economic Belt (YREB) serves as a crucial aquifer for 800 million individuals and harbors almost 50% of the country's paramount water-intensive contaminant producers. The ecological efficiency of these producers within the belt has increasingly come under scholarly scrutiny. Leveraging data from 2004-2012 encompassing 725 such manufacturers and employing the DEA-Malmquist index methodology, this research delineates the eco-efficiency trajectories of these water-centric pollutant producers, shedding light on their spatial-temporal dynamics across the expansive Yangtze Economic Belt. The results are as follows: (1) there’s a discernible enhancement in the eco-efficiency (ML) of these manufacturers situated within the YREB, predominantly propelled by technological change (TC) and shifts in technical efficiency change (TEC); (2) From a spatial perspective, notable disparities emerge in both technological change (TC) and technical efficiency change (TEC) among the belt’s upper, middle, and lower tiers. Intriguingly, the hierarchy for TC and TEC descends as follows: Lower > Upper > Middle; (3) Examining the spatial evolution nuances, 2004 witnessed eco-efficiency distributions ranking from Upper > Middle > Lower. Fast forward to 2012, a marked reconfiguration appears with a distribution pattern of Middle > Lower > Upper.

Overall development of a country largely depends on the economic policy instruments particularly fiscal and monetary policy to streamline the development and continue the developmental progress. These two policies have significant effects on long-term growth. It is noticed that policy adoption and reforms in both fiscal and monetary policies undertaken by Southeast Asian nations during the 1960s through 1990s have contributed to their advancement. This paper discusses the strategies for flourishing as emerging economies. Examples from Singapore, Thailand and Vietnam are highlighted in this study. It is found that prudent fiscal and monetary policy, effective discounting and interest rate; modernized tax system and most importantly policy regime are the contributing factors of these emerging economies. However, in spite of high-income growth and development because of supportive these policy initiatives, administrative and politico-economic constraints challenged the path of economies. Long-term development strategies are suggested to sustain the growth and continue the development pace.

Utilizing a 2021 nationally representative sample of 7,504 White-owned employer businesses (WOBs) in the United States of America (USA), the extent, and the determinants of WOB business registration are estimated. Business registration is employed as a proxy for business in/formality. Approximately one-fifth (22.5%) of all employer WOBs are unregistered or informal business concerns hidden from government purview. The primary determinants of employer WOB informality are business size (annual revenues under $500,000 and few paid employees), a business owner with less than a four-year college degree, and an upbringing in a lower- or middle-class environment, among other findings. Notably, this research reveals the white lie of the magnitude of White-owned employer business informality in the USA.

Poland has experienced a very sharp rise in income and wealth inequality after the economic transition. We measure the relative persistence of income inequality and intra-generational income mobility in Poland during the period 2008-2015. Our research is based on the panel survey data, our subsample includes 501 households. To measure the persistence of income inequality we calculate Shorrocks’s R coefficient. We find that if inequality is measured by the Gini index the relative persistence of income inequality in Poland is similar to Western Europe. In the case of the Theil index and the Mean Log Deviation (MLD), the relative persistence is higher than in a majority of Western Europe countries and similar to the United Kingdom or the United States. The income distribution in Poland is rather stable. Income mobility is lowest at the bottom and at the top of the income distribution. In the middle (3rd) quintile upward mobility is higher than downward mobility. The short-term income mobility in Poland has not changed during and after the Great Financial Crisis and is still medium in comparison with the rest of Europe.

Carbon emissions trading is essential for reducing carbon emissions, and its role in regional carbon unlocking needs further clarification. This study uses the difference-in-differences (DID) model and synthetic control model (SCM) to evaluate the carbon unlocking effect of China’s six pilot carbon trading provinces. This study found that (1) carbon lock-in effects in China are mainly influenced by technology lock-in and fixed input lock-in; (2) each province’s overall carbon lock-in level presents a decreasing trend yearly, and the regional distribution presents characteristics of “low in the east and high in the west”; (3) carbon emissions trading pilot policies effectively promote the carbon unlocking effect in pilot regions overall, with Guangdong having the most significant unlocking effect. Conversely, Beijing, Hubei, Chongqing, and Shanghai also had different degrees of carbon unlocking. Finally, (4) an assessment of impact mechanisms indicates that technology and institutions have a significant mediating role in effectively promoting carbon unlocking under the carbon trading policy. Conversely, social behavior has an inverse effect, and fixed assets are not affected by the policy. This study demonstrates the carbon unlocking effect of carbon emissions trading and provides a quantitative reference for implementing carbon emissions trading policies and determining carbon unlocking paths.