ORIGINAL RESEARCH
The Impact of Agricultural Industrial Agglomeration on Agricultural Carbon Emissions: Evidence from China
,
 
,
 
,
 
,
 
,
 
 
 
 
More details
Hide details
1
School of Business, Jiangsu Ocean University, Lianyungang, China
 
2
School of Public Administration, Xi 'an University of Finance and Economics, Xi 'an, China
 
3
School of Law, Anhui Normal University, Wuhu, China
 
 
Submission date: 2024-06-09
 
 
Final revision date: 2024-07-25
 
 
Acceptance date: 2024-08-03
 
 
Online publication date: 2024-11-14
 
 
Publication date: 2025-08-20
 
 
Corresponding author
Chen Li   

School of Business, Jiangsu Ocean University, Lianyungang, China
 
 
Pol. J. Environ. Stud. 2025;34(5):6449-6464
 
KEYWORDS
TOPICS
ABSTRACT
To aid the achievement of "dual carbon" targets and high-quality agricultural development, by analyzing data from 30 provinces in China from 2011 to 2021, this study offers insights into green and low-carbon development. Through the application of fixed-effect, mediation, and moderation effect models, it empirically examines the impact and mechanisms of agricultural-industrial agglomeration on carbon emissions. The findings indicate: (1) an Inverted U-shaped relationship between agriculturalindustrial agglomeration and carbon emissions, with a positive slope at the agglomeration's minimum value and a negative slope at its maximum. (2) In heterogeneity analysis, the central and western, northern, major production, and major sales areas, as well as areas of high agglomeration, demonstrate a significant Inverted U-shaped relationship. (3) The progression of digital villages helps explain the complex, Inverted U-shaped link between agricultural-industrial concentration and carbon emissions, indirectly affecting the latter. (4) A substitution effect is present, wherein land use capability alters the overall impact of agricultural-industrial agglomeration on carbon emissions and adjusts the dynamic path of this impact with varying degrees of agglomeration. The study's conclusions provide meaningful implications for the government to optimize agricultural industry layouts for effective control of agricultural carbon emissions and the realization of green, sustainable development. Thus, this study suggests expediting the development of digital villages to enhance the carbon reduction efficiency of agricultural-industrial agglomeration.
CONFLICT OF INTEREST
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
REFERENCES (47)
1.
ZAKARI A., KHAN I., TAN D., ALVARADO R., DAGAR V. Energy efficiency and sustainable development goals (SDGs). Energy, 239, 122365, 2022. https://doi.org/10.1016/j.ener....
 
2.
ADEBAYO T.S., ÖZKAN O. Investigating the influence of socioeconomic conditions, renewable energy and eco-innovation on environmental degradation in the United States: A wavelet quantile-based analysis[J]. Journal of Cleaner Production, 434, 140321, 2024. https://doi.org/10.1016/j.jcle....
 
3.
ADEBAYO T.S., ÖZKAN O., EWEADE B.S. Do energy efficiency R&D investments and information and communication technologies promote environmental sustainability in Sweden? A quantile-on-quantile KRLS investigation. Journal of Cleaner Production, 440, 140832, 2024. https://doi.org/10.1016/j.jcle....
 
4.
LI S.Y., YAO L.L., ZHANG Y.C., ZHAO Y.X., SUN L. China's provincial carbon emission driving factors analysis and scenario forecasting. Environmental and Sustainability Indicators, 22, 100390, 2024. https://doi.org/10.1016/j.indi....
 
5.
ZHU Y., HUO C. The impact of agricultural production efficiency on agricultural carbon emissions in China. Energies, 15 (12), 4464, 2022. https://doi.org/10.3390/en1512....
 
6.
MUELLER R.A.E., SUMNER D.A., LAPSLEY J. Clusters of grapes and wine//Third International Wine Business Research Conference, Montpellier, France, 2006.
 
7.
HE Q., ZHANG J., WANG L., ZENG Y.M. Impact of Agricultural Industry Agglomeration on Income Growth: Spatial Effects and Clustering Differences. Transformations in Business & Economics, 19, 2020.
 
8.
SETYOWATI E. The Role of Tapioca Agroindustry Cluster in Local Economic Development in Pati Regency Central Java Province. Universitas Gadjah Mada, 2011.
 
9.
KIM Y., BARKLEY D.L., HENRY M.S. Industry characteristics linked to establishment concentrations in nonmetropolitan areas. Journal of Regional Science, 40 (2), 234, 2000. https://doi.org/10.1111/0022-4....
 
10.
SCORSONE E.A. Equilibrium and disequilibrium components of regional economic growth: A study of the Denver labor and housing market. Colorado State University, 2001.
 
11.
ZHANG S.H., BANI Y., IZAH SELAMAT A., ABDUL GHANI J. Exploring the effect of industrial agglomeration on income inequality in China. PLOS ONE, 18 (6), e0287910, 2023. https://doi.org/10.1371/journa....
 
12.
DING Y. The impact of agricultural industrial agglomeration on farmers' income: An influence mechanism test based on a spatial panel model. PLOS ONE, 18 (9), e0291188, 2023. https://doi.org/10.1371/journa....
 
13.
GROSSMAN G.M., KRUEGER A.B. Environmental impacts of a North American free trade agreement. National Bureau of Economic Research, 1991. https://doi.org/10.3386/w3914.
 
14.
HOSOE M., NAITO T. Trans-boundary pollution transmission and regional agglomeration effects. Papers in Regional Science, 85 (1), 99, 2006. https://doi.org/10.1111/j.1435....
 
15.
GUO Y.H., TONG L.J., MEI L. The effect of industrial agglomeration on green development efficiency in Northeast China since the revitalization. Journal of Cleaner Production, 258, 120584, 2020. https://doi.org/10.1016/j.jcle....
 
16.
XUE L., SHEN Y., XU C.H. A research on spillover effects of agricultural agglomeration on agricultural green development efficiency. Economic Survey, 2020. (In Chinese).
 
17.
LIU S.X., ZHU Y.M., DU K.Q. The impact of industrial agglomeration on industrial pollutant emission: evidence from China under New Normal. Clean Technologies and Environmental Policy, 19, 2327, 2017. https://doi.org/10.1007/s10098....
 
18.
STREIMIKIENE D., KYRIAKOPOULOS G.L., LEKAVICIUS V., SIKSNELYTE-BUTKIENE I. Energy poverty and low carbon just energy transition: comparative study in Lithuania and Greece. Social Indicators Research, 158 (1), 319, 2021. https://doi.org/10.1007/s11205....
 
19.
HE Y.Q., DAI X.W. Phase characteristics and regional differences in agriculture carbon emissions in China. Resources Science, 38 (9), 1780, 2016. https://doi.org/10.18402/resci....
 
20.
WU D., ZHANG Z.W., LIU D., ZHANG L.L., LI M., KHAN M.I., LI T.X., CUI S. Calculation and analysis of agricultural carbon emission efficiency considering water-energy-food pressure: Modeling and application. Science of The Total Environment, 907, 167819, 2024. https://doi.org/10.1016/j.scit....
 
21.
YADAV G.S., DAS A., KANDPAL B.K., BABU S., LAL R., DATTA M., DAS B., SINGH R., SINGH V., MOHAPATRA K., CHAKRABORTY M. The food-energy-water-carbon nexus in a maize-maize-mustard cropping sequence of the Indian Himalayas: An impact of tillage-cum-live mulching. Renewable and Sustainable Energy Reviews, 151, 111602, 2021. https://doi.org/10.1016/j.rser....
 
22.
GE T. Rising energy inequity and its driving factors to approach a just energy transition in China. Environmental Impact Assessment Review, 103, 107231, 2023. https://doi.org/10.1016/j.eiar....
 
23.
GARCÍA-GARCÍA P., CARPINTERO Ó., BUENDÍA L. Just energy transitions to low carbon economies: A review of the concept and its effects on labour and income. Energy Research & Social Science, 70, 101664, 2020. https://doi.org/10.1016/j.erss....
 
24.
DU Y.Y., LIU H.B., HUANG H., LI X.H. The carbon emission reduction effect of agricultural policy—Evidence from China. Journal of Cleaner Production, 406, 137005, 2023. https://doi.org/10.1016/j.jcle....
 
25.
LI J., LIU X. Influencing factors for carbon emission and prediction on peaking carbon dioxide emissions in Ningxia. J South-Central Minzu Univ (Humanities and Social Sciences), 42 (07), 116, 2022.
 
26.
WANG R.R., ZHANG Y., ZOU C.M. How does agricultural specialization affect carbon emissions in China? Journal of Cleaner Production, 370, 133463, 2022. https://doi.org/10.1016/j.jcle....
 
27.
TIAN Y., WU H.T. Research on fairness of agricultural carbon emissions in China's major grain producing areas from the perspective of industrial structure. Journal of Agrotechnical Economics, 1, 45, 2020.
 
28.
PENG L.N., SUN N., JIANG Z.D., YAN Z.W., XU J.P. The impact of urban-rural integration on carbon emissions of rural household energy consumption: Evidence from China. Environment, Development and Sustainability, 1-29, 2023. https://doi.org/10.1007/s10668....
 
29.
ZHANG H.R., ZHANG J.W., SONG J.F. Analysis of the threshold effect of agricultural industrial agglomeration and industrial structure upgrading on sustainable agricultural development in China. Journal of Cleaner Production, 341, 130818, 2022. https://doi.org/10.1016/j.jcle....
 
30.
WANG W.J., WANG Q., ZHU A.S., HUANG L., GU Y., WANG Y.J., WANG M., LI L. Role of land use changes on ammonia emissions from agricultural ecosystems in the Yangtze River Delta Region from 2000 to 2018. Huan Jing Ke Xue = Huanjing Kexue, 42 (7), 3442, 2021.
 
31.
ADEBAYO T.S., MEO M.S., EWEADE B.S., ÖZKAN O. Examining the effects of solar energy innovations, information and communication technology and financial globalization on environmental quality in the United States via quantile-on-quantile KRLS analysis. Solar Energy, 272, 112450, 2024. https://doi.org/10.1016/j.sole....
 
32.
ADEBAYO T.S., KARTAL M.T., ULLAH S. Role of hydroelectricity and natural gas consumption on environmental sustainability in the United States: evidence from novel time-frequency approaches. Journal of Environmental Management, 328, 116987, 2023. https://doi.org/10.1016/j.jenv....
 
33.
LIU J., JI L., SUN Y., CHIU Y.H., ZHAO H.X. Unleashing the convergence between SDG 9 and SDG 8 towards pursuing SDGs: Evidence from two urban agglomerations in China during the 13th five-year plan[J]. Journal of Cleaner Production, 434, 139924, 2024. https://doi.org/10.1016/j.jcle....
 
34.
LIU H.M., WEN S.B., WANG Z. Agricultural production agglomeration and total factor carbon productivity: based on NDDF-MML index analysis. China Agricultural Economic Review, 14 (4), 709, 2022. https://doi.org/10.1108/CAER-0....
 
35.
SHEN N., PENG H. Can industrial agglomeration achieve the emission-reduction effect? Socio-Economic Planning Sciences, 75, 100867, 2021. https://doi.org/10.1016/j.seps....
 
36.
CHEN C.F., SUN Y.W., LAN Q.X., JIANG F. Impacts of industrial agglomeration on pollution and ecological efficiency—A spatial econometric analysis based on a big panel dataset of China's 259 cities. Journal of Cleaner Production, 258, 120721, 2020. https://doi.org/10.1016/j.jcle....
 
37.
PORTER M.E. Competitive advantage of nations: creating and sustaining superior performance. Simon and Schuster, 2011.
 
38.
KRUGMAN P.R. Development, geography, and economic theory. MIT Press, 1997.
 
39.
BAKER D., DE LONG J.B., KRUGMAN P.R. Asset returns and economic growth. Brookings Papers on Economic Activity, 2005 (1), 289, 2005. https://doi.org/10.1353/eca.20....
 
40.
ZHANG Y., FENG M.W., FANG Z.S., YI F.J., LIU Z.Z. Impact of digital village construction on agricultural carbon emissions: Evidence from mainland China. International Journal of Environmental Research and Public Health, 20 (5), 4189, 2023. https://doi.org/10.3390/ijerph....
 
41.
TANG Y., CHEN M.H. The impact mechanism and spillover effect of digital rural construction on the efficiency of green transformation for cultivated land use in China. International Journal of Environmental Research and Public Health, 19 (23), 16159, 2022. https://doi.org/10.3390/ijerph....
 
42.
LAI L., HUANG X.J., YANG H., CHUAI X.W., ZHANG M., ZHONG T.Y., CHEN Z.G., CHEN Y., WANG X., THOMPSON J.R. Carbon emissions from land-use change and management in China between 1990 and 2010. Science Advances, 2 (11), e1601063, 2016. https://doi.org/10.1126/sciadv....
 
43.
CHUAI X.W., HUANG X.J., LAI L., WANG W.J., PENG J.W., ZHAO R.Q. Land use structure optimization based on carbon storage in several regional terrestrial ecosystems across China. Environmental Science & Policy, 25, 50, 2013. https://doi.org/10.1016/j.envs....
 
44.
SUI Y., WANG H., KIRKMAN B.L., LI N. Understanding the curvilinear relationships between LMX differentiation and team coordination and performance. Personnel Psychology, 69 (3), 559, 2016. https://doi.org/10.1111/peps.1....
 
45.
DING B.G., ZHAO Y., DENG J.H. Calculation, decoupling effects and driving factors of carbon emission from planting industry in China. Journal of Agricultural Resources and Regional Planning, 43 (05), 1, 2022. (In Chinese).
 
46.
HAANS R.F.J., PIETERS C., HE Z.L. Thinking about U: Theorizing and testing U- and inverted U-shaped relationships in strategy research. Strategic Management Journal, 37 (7), 1177, 2016. https://doi.org/10.1002/smj.23....
 
47.
ADEBAYO T.S., ULLAH S., KARTAL M.T., ALI K., PATA U.K., AGA M. Endorsing sustainable development in BRICS: The role of technological innovation, renewable energy consumption, and natural resources in limiting carbon emission[J]. Science of the Total Environment, 859, 160181, 2023. https://doi.org/10.1016/j.scit....
 
eISSN:2083-5906
ISSN:1230-1485
Journals System - logo
Scroll to top