Impact of Energy Conservation and Emissions Reduction Policy Means Coordination on Economic Growth: Quantitative Evidence from China

Abstract

Abstract:To understand the general relationship between Energy Conservation and Emissions Reduction (ECER) policy means coordination (PMC) and economic growth, this paper quantitatively investigates the impact on economic growth of differing PMCs. ECER policies from 1978 to 2013 in China are quantified across two dimensions of policy power and policy means, and then, PMC degrees are designed as independent variables and incorporated into a modified Cobb−Douglas production model. While determining the cointegration relationships by using a unit root test, a cointegration test and a stability test, cointegration equation is conducted by using quantitative data to explore the economic growth effects of PMC in China. The government's use of PMC in China is also analyzed and ranked. The empirical results show that there is a long-term cointegration relationship among the variables from 1978 to 2013. Additionally, the effects of the different PMCs on economic growth show significant discrepancies and each PMC usage ranking is also found to be significantly different, thereby implying that the use of different PMCs by the Chinese government needs to be further perfected.

Spatial Heterogeneity Influences of Environmental Control and Informal Regulation on Air Pollutant Emissions in China

“…Moreover, existing research has paid more attention to the factors of policy implementation, and less attention has been paid to the formulation of air pollution control policy based on the content of the policy text. Based on the existing policy implementation level, construction of the formulation intensity of air pollution control policy using quantitative indicators at the policy formulation level can reflect the efforts of different levels of government to control air pollutant emissions truly [20].…”

“…The intensity of policy content is an indicator that describes the stringency of air pollution control policy content [20]. Albrizio et al [39] used a new comprehensive index of Environmental Policy Stringency (EPS) developed by the Organization for Economic Co-operation and Development (OECD) in the study.…”

“…Similar as the quantitative criteria used for EPS, we assign the value of 5 to 1 to the contents of air pollution control policies in China to describe the stringency of policy content, with recommendations of relevant legal experts and scholars (shown in Table 1). The following steps were used in the scoring: (a) train the scoring personnel and multi-group scoring by multiple groups of people to quantify the national environmental policy, (b) divide 20 policy researchers into 10 groups to score the national environmental policy in accordance with [20] scoring steps and requirements, and (c) use the homogeneity reliability method to test the quantitative data of the policy content. According to the general requirements of the Cronbach α index, when Cronbach α > 0.7, the reliability results are better.…”

Measurement of Regional Green Economy Sustainable Development Ability Based on Entropy Weight-Topsis-Coupling Coordination Degree—A Case Study in Shandong Province, China

“…Second, coupling is a physics concept that refers to a phenomenon whereby two or more systems or forms of motion interact [35]. The coordination degree is the degree to which the internal system factors are in harmony during the development process and reflects the system trends as it moves from disorder to order [36,37]. A coupling coordination degree is introduced to quantitatively analyze the degree of internal system coupling in regional green economy development, determine whether the coordination status of each subsystem is good or bad, clarify the role of each subsystem in the green economy development, and determine a lateral regional green economy development measurement.…”

Walled Buildings, Sustainability, and Housing Prices: An Artificial Neural Network Approach

“…Thus, time series literature often stresses the importance of unit roots tests [23]. To test the unit root hypothesis, we follow the ADF test according to Zhang et al [24]:…”