Spatial Analysis of Agriculture Ecological Efficiency and Its Influence on Fiscal Expenditures

Abstract

The faster development of the agriculture sector has led to the excessive waste of agriculture resources and that development causes serious damage to the ecological environment. So, ecological agriculture has become an important topic to understand the relationship between agriculture and the environment. This study tries to examine the impact of agricultural fiscal expenditures on agricultural ecological efficiency. In the first step, the researcher found the ecological efficiency of agriculture. The second step tries to examine the agricultural fiscal expenditure impact on agriculture’s ecological efficiency. The study used data from 30 provinces of China from 1998 to 2018. For the empirical results, the researcher used the super-efficiency DEA window analysis in the first step. Moreover, we used the spatial Durbin model in the second step. The results of the study revealed that China’s agricultural ecological efficiency shows a downward trend to an upward trend. The efficiency value of the eastern region is higher than the central region’s efficiency value, which is lower than the national average level. The western region’s efficiency value is equal to the national average level, and the differences between regions vary with the time period. The nuclear density of agricultural eco-efficiency in China showed a trend of “left-shift rising—double peaks—right-shifting decline”. In terms of space, China’s agricultural ecological efficiency has a significant positive spatial spillover effect, especially in the eastern and western regions. The results of the spatial Durbin model revealed that agricultural fiscal expenditures have a significant role in promoting China’s agricultural ecological efficiency. While agricultural governance has shown a significant spatial crowd-out effect. Therefore, it is proposed to promote the development of inter-provincial agricultural cooperation, and the formulation of agricultural financial support strategies should be green-oriented and should consider regional heterogeneity.

A systematic literature review of data envelopment analysis implementation in agriculture under the prism of sustainability

“…Tian et al ( 2016 ) have implemented spatial analysis after estimating the efficiency scores for Chinese grape farms. Spatial Durbin Model was impemented from the following researchers to identify technological spillovers through different regions (J. Li et al 2021 ; Wu et al 2022 ; P. Xu et al 2022 ). Examining the spatial relationship of the acquired results is a necessity for agricultural operational research to reveal potential patterns that may have been neglected in the analysis process.…”

Enhancing environmental management through big data: spatial analysis of urban ecological governance and big data development

“…Moreover, China views the maintenance of a robust ecological environment as a foundational necessity for sustainable development (Central Committee of the Communist Party of China State Council, 2018). In this context, spatial econometric models have been utilized to conduct comprehensive studies on the spatial spillover effects of agricultural ecological governance in China (Wu et al, 2022). This emphasizes the inherent complexity and interactivity of ecological governance, contributing to a more holistic understanding of urban ecological governance.…”

“…Since the latter half of the 20th century, there has been unprecedented urban expansion globally, particularly in developing countries (Cui and Shi, 2012), giving rise to challenges including environmental degradation, congestion, and social and economic exclusion (European Commission, 2010). Furthermore, the pervasive use of fossil fuels post-Industrial Revolution has led to substantial environmental pollution, posing a concern of international proportions (Wu et al, 2022). In response to this challenge, numerous scholars have investigated various factors influencing environmental governance performance from diverse angles.…”

“…A robust ecological environment forms the cornerstone of China's commitment to sustainable development (Central Committee of the Communist Party of China State Council, 2018), necessitating the collective enhancement of ecological governance performance across various regions to achieve this objective. Scholars have utilized spatial econometric models to investigate the spatial spillover effects of agricultural ecological governance in China (Wu et al, 2022), providing valuable insights. Furthermore, the application of the Spatial Durbin Model has been pivotal in deciphering the intricate relationship between environmental regulation and Green Total Factor Energy Efficiency (GTFEE) (Wu et al, 2020).…”

Green-Biased Technical Change and Its Influencing Factors of Agriculture Industry: Empirical Evidence at the Provincial Level in China

“…The following are the main reasons for inadequate consideration: first, the majority of the literature employs parametric methods that require strict assumptions on production functions, making it difficult to account for agricultural pollution emissions effectively. Second, to achieve the goal of high-quality development, both non-point source pollution and carbon emissions in agriculture cannot be ignored [ 51 , 53 ]. However, most current studies only consider one of them.…”