Growth Models and Influencing Mechanisms of Total Factor Productivity in China’s National High-Tech Zones

Sun, Hongjun; Zhao, Zuoxiang; Han, Ding

doi:10.3390/su16083245

Cited by 3 publications

(2 citation statements)

References 42 publications

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“…Total factor productivity is widely used to measure the level and efficiency of green development [9,[20][21][22][23]; researchers have carried out in-depth analyses on the influencing mechanism and driving factors of agricultural green total factor productivity in China [9,20], but the impact of total factor productivity on green pilot areas is not very clear. This paper uses agricultural green TFP to measure each city's agricultural green development level.…”

Section: Agricultural Green Total Factor Productivity (Tfp)mentioning

confidence: 99%

“…Subsequently, the United States, the Food and Agriculture Organization of the United Nations, and the World Sustainable Agriculture Association further promoted the formation and development of sustainable agriculture. Researchers Sustainability 2024, 16, 5149 2 of 15 in different countries have conducted detailed analyses of the impact factors and the effectiveness of policies on sustainable agriculture [3,[7][8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

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Evaluating the Effects of the ‘Pilot Zone’ Policy on China’s Agricultural Green Development

Yao,

Si,

2024

Sustainability

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Green agriculture is a new sustainable agricultural development model that coordinates agricultural development with the environment which has been vigorously promoted in China in recent years. With the support of national policies, China has set up 130 pilot zones for green agricultural development. Taking these pilot zones as quasi-natural experimental areas, the difference-in-differences (DID) method and agricultural green total factor productivity are used to evaluate the effect of the policy in the pilot zones. The findings indicate that the pilot zones notably diminish non-point source agricultural pollution without affecting agricultural added value and improve agricultural green total factor productivity by improving technical efficiency. Heterogeneity analysis shows that the effectiveness of this policy varies regionally. The eastern region of China, the main agricultural producing areas, and the regions with higher initial environmental pollution levels and abundant educational resources experience more pronounced benefits. Based on the regional characteristics of different regions, this study considers the factors such as agricultural resource endowment and development basis and explores how the policy effects of agricultural green development in different regions, which has certain guiding significance for the continuous improvement in China’s agricultural green development policies.

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Section: Agricultural Green Total Factor Productivity (Tfp)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Evaluating the Effects of the ‘Pilot Zone’ Policy on China’s Agricultural Green Development

Yao,

Si,

2024

Sustainability

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Nonlinear associations and threshold effects between agricultural industrial development and carbon emissions: insights from China

Yi,

Xu,

Lin

et al. 2024

Environ. Res. Commun.

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With the inevitability of global climate change, it has become increasingly important to understand the relationship between Agro-industrial Development (AID) and Agricultural Carbon Emissions (ACE) to promote the development of low carbon production in agriculture. Using a panel of datasets, as based on the "element-structure-function" framework of 30 Chinese provinces over the period from 2011-2021, the entropy weight method was used to calculate the level of AID in each province. With this approach, it was possible to assess correlations and mechanisms between AID and ACE. Here, with use of fixed-effect, regulatory and threshold models, we determined some of the critical factors contributing to the effects of AID and ACE. Our findings revealed: 1) AID displays an inverse U-shape relationship with ACE, as verified through endogeneity and robustness assessment, 2) A review of the mechanisms suggests that the crossing of the turning point of the inverted u-curve can be accelerated by the moderating effect of agricultural finance. and 3) As based on the threshold effect analysis, a two-tier effect of the digital economy, rural human capital and farmers' net income on AID, with facilitating effects on carbon emission reductions was obtained after the threshold crossing. The significance of this effect increases as a function of the post-threshold interval. Taken together, these findings demonstrate the long-standing interplay between AID and ACE. Thus, additional insights and empirical evidence that can inform the ongoing development of sustainable agricultural practices can be realized.

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Estimation of Urban High-Quality Development Level Using a Three-Stage Stacks-Based Measure Model: A Case Study of Urban Agglomerations in the Yellow River Basin

Liu,

Yang,

Liu

2024

Sustainability

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The high-quality development paradigm, which emphasizes the organic unity of efficiency, equity, and sustainability, has gained increasing global recognition as an extension of the concept of sustainable green development. In this study, we use green development efficiency as a metric of high-quality development and employ a three-stage Stacks-based Measure Model (SBM) in order to assess the true green development efficiency (GDE) levels of urban agglomerations in China’s Yellow River Basin (YRB) from 2011 to 2020. The results indicate that external environmental factors significantly impacted the green development efficiency levels of these urban agglomerations; after removing these factors, their green development efficiency shifted from trendless fluctuations to more consistent upward trends. Additionally, the disparities between different urban agglomerations are the primary sources of overall differences in green development efficiency in the YRB. Influenced by economic development levels and administrative divisions, the degree of internal development imbalance varies among urban agglomerations; however, regional disparities show a decreasing trend, indicating a catch-up effect. Based on these findings, we further propose relevant policy recommendations in this paper. The results of this study help us to understand the current status and trends of high-quality development in the urban agglomerations of the YRB, providing empirical evidence for policy formulation.

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Growth Models and Influencing Mechanisms of Total Factor Productivity in China’s National High-Tech Zones

Cited by 3 publications

References 42 publications

Evaluating the Effects of the ‘Pilot Zone’ Policy on China’s Agricultural Green Development

Evaluating the Effects of the ‘Pilot Zone’ Policy on China’s Agricultural Green Development

Nonlinear associations and threshold effects between agricultural industrial development and carbon emissions: insights from China

Estimation of Urban High-Quality Development Level Using a Three-Stage Stacks-Based Measure Model: A Case Study of Urban Agglomerations in the Yellow River Basin

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