Calculation of regional agricultural production efficiency and empirical analysis of its influencing factors-based on DEA-CCR model and Tobit model

Abstract

The improvement of agricultural production efficiency and the transformation of production mode are the core of promoting agricultural modernization. Taking Chongqing as a sample case, this paper uses DEA-CCR Model, Malmquist Index and Tobit Model to calculate and analyze its agricultural production efficiency and its influencing factors, and accurately identifies the problems existing in its agricultural transformation and development. It has an important policy reference value for improving agricultural innovation and competitiveness, promoting the steady development of rural revitalization, and realizing agricultural modernization, which also provides some reference and enlightenment for countries or regions with similar characteristics of mountain agriculture development in the world to enhance regional agricultural production efficiency. Through empirical analysis and investigation, it is found that the overall agricultural production efficiency of Chongqing remains at the productivity level of 0.8 from 2009 to 2018, with an average annual growth rate of 12.8%, but there is a large gap in the level of regional development. Through Malmquist Index decomposition, it is found that agricultural technology progress has the greatest contribution to the improvement of production efficiency. Financial support for agriculture, urbanization level, regional economic development level and highway mileage have a significant positive impact on production efficiency, while the level of farmers’ disposable income has a negative impact on the increase of production efficiency, and the income gap between urban and rural residents fails to pass the significance test.

Spatiotemporal Characteristics of Agricultural Production Efficiency in Sichuan Province from the Perspective of “Water–Land–Energy–Carbon” Coupling

“…Literature review showed that APE is associated with various factors such as urbanization, the level of agricultural economic development and the industrial structure of agriculture [20][21][22]. Therefore, this paper established an explanatory variable and dependent variable based on panel regression model.…”

“…The spatiotemporal analysis of a single APE involves analysis of the changes in agricultural production. It is imperative to study the influencing factors of agricultural production based on the comprehensive results of APE to explore new strategies to improve APE and reduce ACE [20][21][22]. These findings can promote the improvement of APE, reduce waste resources and reduce the environmental pollution caused by agricultural production activities.…”

How does education affect urban carbon emission efficiency under the strategy of scientific and technological innovation?

“…On the whole, the previous studies on the influencing factors of carbon emission efficiency are mostly conducted by generalized method of moments (GMM) estimation in academia, mainly including the urbanization rate (Zhou et al, 2022), innovation input (Gao et al, 2019), energy intensity (Lv et al, 2015), and environmental regulation (Long et al, 2013). Existing studies on higher education promoting the development of a low-carbon economy have been relatively mature.…”

The Analisis Faktor-Faktor yang Mempengaruhi Produksi Gambir di Kecamatan Sutera Kabupaten Pesisir Selatan

“…Jika diantara salah satu faktor produksi tidak ada, maka proses produksi tidak dapat berjalan dengan baik, terutama tiga faktor terdahulu seperti tanah, modal, dan tenaga kerja. Tanpa tenaga kerja apa yang dapat dilakukan, begitu pun juga dengan faktor lain seperti tanah, dan modal [15]. Dalam produksi usaha tani gambir, kegiatan pengolahan hasil adalah tahap yang penting, karena pada tahap inilah yang akan menentukan besar kecilnya perolehan hasil baik secara kualitas maupun kuantintas.…”