| Title |
Forecasting China's water use peak path under coordinating perspective from economic development and technological progress |
| ID_Doc |
69314 |
| Authors |
Zhou, Q; Zhang, HQ; Zhang, CJ; Fang, Z; Cheng, CG |
| Title |
Forecasting China's water use peak path under coordinating perspective from economic development and technological progress |
| Year |
2024 |
| Published |
Natural Resources Forum, 48.0, 1 |
| DOI |
10.1111/1477-8947.12308 |
| Abstract |
China holds the distinction of being the foremost global consumer of water resources and contends with a significant level of water scarcity. In light of this quandary, China has been assiduously endeavoring to foster water conservation practices with the ultimate objective of reaching a peak point in water use. In this paper, we construct a framework for forecasting China's total water use (TWU) peak path. In this framework, we select influencing factors in terms of both economy and technology to forecast the peak path of China's TWU under six different scenarios, and analyze the economic and technological circumstances at the peak. Our findings indicate that China's TWU will persist in its upward trend based on both the high growth and business as usual scenarios. The projected peak period is estimated to transpire in 2037, 2032, 2030, and 2028, respectively, with the corresponding peak levels amounting to 644.03, 633.93, 625.79, and 620.92 billion m(3). However, in the low growth scenarios, China's TWU reached its peak in 2013. The extent of economic development plays a pivotal role in determining the timing and manner of water usage peaking. Early peaking of water usage could potentially result in a loss of gross domestic product (GDP). Furthermore, technological advancements hold the potential to facilitate a reduction in water use without requiring a significant trade-off between resource conservation and economic development. The results of sensitivity analysis show that the average acreage of water used for irrigation on cropland, GDP, water use efficiency, and population contribute the most to TWU, while the increase in the proportion of industrial, service, and water-saving irrigation area can reduce water use. Our analytical framework provides a commonly applicable solution for the water use forecast in areas seeking to reach the water use peak or to achieve sustainable development. |
| Author Keywords |
NARX model; peak forecast; scenario analysis; STIRPAT model; total water use |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI) |
| EID |
WOS:001011868200001 |
| WoS Category |
Environmental Sciences; Environmental Studies |
| Research Area |
Environmental Sciences & Ecology |
| PDF |
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