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From 2006 to 2009, the aggregate energy intensity of China fell by 14.38%,1) which means that China has made substantial progress towards its goal of achieving approximately a 20% reduction in energy intensity during the period of the 11th FYP (Five-Year Plan). This paper describes some new properties of the mechanism for the decrease in China’s energy intensity since the beginning of the 11th FYP. First, compared with the period of the 10th FYP, technical, structural, and residential energy-savings have been improved to a certain extent. Secondly, unlike the dynamic mechanism before 2000, technical energy savings have been the main driver of momentum since the beginning of the 11th FYP. Next, although structural energy savings are not the main factor, they are still a key factor for the decrease in energy intensity. Finally, residential energy savings are still a stable driver of momentum for the decline in China’s energy intensity.

From 2006 to 2009, the aggregate energy intensity of China fell by 14.38%,1) which means that China has made substantial progress towards its goal of achieving approximately a 20% reduction in energy intensity during the period of the 11th FYP (Five-Year Plan). This paper describes some new properties of the mechanism for the decrease in China’s energy intensity since the beginning of the 11th FYP. First, compared with the period of the 10th FYP, technical, structural, and residential energy-savings have been improved to a certain extent. Secondly, unlike the dynamic mechanism before 2000, technical energy savings have been the main driver of momentum since the beginning of the 11th FYP. Next, although structural energy savings are not the main factor, they are still a key factor for the decrease in energy intensity. Finally, residential energy savings are still a stable driver of momentum for the decline in China’s energy intensity.

The rapid growth of agriculture has led to a significant increase in energy utilization and CO2 emissions. Agriculture performs a pivotal role in improving every country’s economy. The current study has the main objective to analyses the long-run impact of agricultural CO2 discharge on economic growth, energy consumption (electricity utilization in the agriculture sector), financial development, foreign direct investment (FDI), and population for India. For the period 1978–2018, we applied ADF, PP, ERS, and KPSS unit root and Z&A and CMR structural interval tests to evaluate the stability and breaks in the data set. We check the cointegration of study variables through ARDL, Engle–Granger, and Johansen’s cointegration approaches. The findings of the long-run analysis showed a cointegration among the variables, which reveals that an escalation in economic growth and financial development refine the natural environment, while the upsurge in FDI and population further deteriorate the climate in India. However, agricultural sector electricity use shows an insignificant association with CO2 emissions for both periods. On the basis of results, we recommend that legislators should offer an environment that provides opportunities for financial development and economic growth.

The rapid growth of agriculture has led to a significant increase in energy utilization and CO2 emissions. Agriculture performs a pivotal role in improving every country’s economy. The current study has the main objective to analyses the long-run impact of agricultural CO2 discharge on economic growth, energy consumption (electricity utilization in the agriculture sector), financial development, foreign direct investment (FDI), and population for India. For the period 1978–2018, we applied ADF, PP, ERS, and KPSS unit root and Z&A and CMR structural interval tests to evaluate the stability and breaks in the data set. We check the cointegration of study variables through ARDL, Engle–Granger, and Johansen’s cointegration approaches. The findings of the long-run analysis showed a cointegration among the variables, which reveals that an escalation in economic growth and financial development refine the natural environment, while the upsurge in FDI and population further deteriorate the climate in India. However, agricultural sector electricity use shows an insignificant association with CO2 emissions for both periods. On the basis of results, we recommend that legislators should offer an environment that provides opportunities for financial development and economic growth.

One of the goals of developing a transport corridor is to promote socio-economic development by improving connectivity and sustainable transport operations, which largely depends on the operational strategy. Trade-off policies can be important tools for gaining the competitive advantage of road transport corridors, and thus, help facilitate sustainable growth and welfare. This article uses a case-based approach to observe the trade-offs in the first phase of transport infrastructure development, and then, in the second stage, further explores the trade-off variables in the transport operations strategy under the China-Pakistan Economic Corridor (CPEC). The results from the three cases of the parallel route system of the CPEC indicate that trade-off is an easily understandable and applicable method, which can foresee the operational gains or compromises for significant welfare of the regions. The implications of the trade-off are two fold, first is the “importance” of the trade-off, which is related to its impact on operational competitiveness. The other is the “sensitivity” of the trade-off, in terms of the change that will be caused to one variable when changing the other. The trade-off concept can be used for several landlocked transport corridors to achieve a competitive edge in transit trade.

One of the goals of developing a transport corridor is to promote socio-economic development by improving connectivity and sustainable transport operations, which largely depends on the operational strategy. Trade-off policies can be important tools for gaining the competitive advantage of road transport corridors, and thus, help facilitate sustainable growth and welfare. This article uses a case-based approach to observe the trade-offs in the first phase of transport infrastructure development, and then, in the second stage, further explores the trade-off variables in the transport operations strategy under the China-Pakistan Economic Corridor (CPEC). The results from the three cases of the parallel route system of the CPEC indicate that trade-off is an easily understandable and applicable method, which can foresee the operational gains or compromises for significant welfare of the regions. The implications of the trade-off are two fold, first is the “importance” of the trade-off, which is related to its impact on operational competitiveness. The other is the “sensitivity” of the trade-off, in terms of the change that will be caused to one variable when changing the other. The trade-off concept can be used for several landlocked transport corridors to achieve a competitive edge in transit trade.

Abstract City has always been a concentrated area of consumption and pollution in a country or region. Solutions to the dematerialization of city would exert a profound impact on the entire socio-economic system. And the issue of resources and environment in Beijing, the center of China’s politics, economy, and culture, becomes a focus of attention both domestically and internationally. In this paper, we used the economy-wide material flow analysis to describe the socio-economic development and the current situation of resources and environment in Beijing during the period 1992–2015. Based on this, Tapio decoupling model and the logarithmic mean divisia index method were used to analyze the level and influencing factors of dematerialization in Beijing. The results of the study showed that: From 1992 to 2015, GDP of Beijing increased from 61.25 billion yuan to 623.45 billion yuan, at the same time, direct material input and domestic processed output also increased from 139.88 million tons and 78.63 million tons in 1992 to 205.17 million tons and 166.27 million tons in 2015 respectively. Judging from the change of the decoupling relationship between economic growth and resources and environment, the level of dematerialization in Beijing was continuously increasing. And the dematerialization level of resource consumption was slightly better than that of pollution discharge. The high expansion of population and economy was not conducive to the realization of dematerialization in Beijing. However, the decrease of the intensity of material utilization played a crucial role in the process of dematerialization in Beijing. Moreover, increases in material circulation and social overall level of cleaner production were beneficial to the realization of dematerialization.

Abstract City has always been a concentrated area of consumption and pollution in a country or region. Solutions to the dematerialization of city would exert a profound impact on the entire socio-economic system. And the issue of resources and environment in Beijing, the center of China’s politics, economy, and culture, becomes a focus of attention both domestically and internationally. In this paper, we used the economy-wide material flow analysis to describe the socio-economic development and the current situation of resources and environment in Beijing during the period 1992–2015. Based on this, Tapio decoupling model and the logarithmic mean divisia index method were used to analyze the level and influencing factors of dematerialization in Beijing. The results of the study showed that: From 1992 to 2015, GDP of Beijing increased from 61.25 billion yuan to 623.45 billion yuan, at the same time, direct material input and domestic processed output also increased from 139.88 million tons and 78.63 million tons in 1992 to 205.17 million tons and 166.27 million tons in 2015 respectively. Judging from the change of the decoupling relationship between economic growth and resources and environment, the level of dematerialization in Beijing was continuously increasing. And the dematerialization level of resource consumption was slightly better than that of pollution discharge. The high expansion of population and economy was not conducive to the realization of dematerialization in Beijing. However, the decrease of the intensity of material utilization played a crucial role in the process of dematerialization in Beijing. Moreover, increases in material circulation and social overall level of cleaner production were beneficial to the realization of dematerialization.