Abstract:Finance is a pillar industry of national governance. It also provides a solid guarantee for achieving the official Double Carbon target. The question of how to forefront the role of environmental governance in the reform of fiscal and taxation systems, whilst also motivating enterprises to enhance Environment in Environmental, Social, and Governance (EESG) considerations is worth investigating in depth. This study takes A-share listed companies in China from 2001 to 2020 as examples. The effect of Performance-… Show more
“…For example, Piatti‐Fünfkirchen and Schneider (2018) studied the health service delivery in Tanzania and Zambia and found that rigid control and inadequate attention to equity, quality, and efficiency in the performance‐based financial management system have hurt service outcomes. Wang and Hu (2022) studied how the Chinese performance‐based budgeting reform impacts the environmental, social, and governance reporting of enterprises and China's carbon neutrality efforts.…”
Performance budgeting is inevitably linked to policy priorities, and priorities are fundamentally the expression of public values. Through a bibliometric analysis of past studies, this study shows that over time, the performance budgeting literature is linked to more diverse values beyond efficiency and effectiveness concerns. Transparency, democracy, participation, inclusiveness, and other political, legal, social, and sustainability values have been getting more attention in public administration, accounting, and budgeting journals, as well as in various field journals. This study concludes by suggesting a need for more interdisciplinary and comparative research about the normative foundation of performance budgeting and its connection with public value theory in the future.
“…For example, Piatti‐Fünfkirchen and Schneider (2018) studied the health service delivery in Tanzania and Zambia and found that rigid control and inadequate attention to equity, quality, and efficiency in the performance‐based financial management system have hurt service outcomes. Wang and Hu (2022) studied how the Chinese performance‐based budgeting reform impacts the environmental, social, and governance reporting of enterprises and China's carbon neutrality efforts.…”
Performance budgeting is inevitably linked to policy priorities, and priorities are fundamentally the expression of public values. Through a bibliometric analysis of past studies, this study shows that over time, the performance budgeting literature is linked to more diverse values beyond efficiency and effectiveness concerns. Transparency, democracy, participation, inclusiveness, and other political, legal, social, and sustainability values have been getting more attention in public administration, accounting, and budgeting journals, as well as in various field journals. This study concludes by suggesting a need for more interdisciplinary and comparative research about the normative foundation of performance budgeting and its connection with public value theory in the future.
“…As per the research conducted by Wang and Hu, Mu et al and Lu et al [ [ [44] , [45] , [46] ]], this paper defines a range of control variables , from three perspectives: corporate financial indicators, governance structure and regional factors. Meanwhile, this paper deflates the variables Size and Gdp based on China's inflation rates in each year, using 2011 as the base period.…”
In the following article, we estimate the value of Patent Applications-PA in the context of the Environmental, Social and Governance-ESG model at world level. We use data from World Bank for 193 countries in the period 2011-2021. We found that PA is positively associated, among others, to “CO2 Emissions” and “Mammal Species Threated”, and negatively associated among others to “Hospital Beds” and “Research and Development Expenditures”. Furthermore, we found that at aggregate level PA is negatively associated to each macro component of the ESG model i.e.: Environment, Social and Governance. Furthermore, we have applied eight different machine-learning algorithms for the prediction of the future value of PA. We found that the best predictive algorithm is the Simple Regression Tree in terms of minimization of MAE, RMSE and MSE and maximization of R-squared. The value of PA is predicted to growth by an average of 9.82% for the analysed countries.
JEL Codes: D7, D70, D72, D73, D78.
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